Browse Topic: Safety

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Design and Development of Circular Crash Boxes: Evaluating Single and Dual Screw-Groove Configurations for Enhanced Crashworthiness2026-28-0013To be published on 02/01/2026
This study investigates the design and development of circular crash boxes aimed at enhancing crashworthiness through the analysis of screw-groove configurations. Two specific designs were evaluated: one featuring a single screw in two grooves and another incorporating two screws in four grooves. Finite Element Method (FEM) simulations were conducted using LS-DYNA, wherein a 700 kg impactor struck the crash boxes at varying velocities. The materials tested included Al5052 aluminium alloy and mild steel. In this study, we assessed and compared key crashworthiness performance metrics to evaluate the effectiveness of energy-absorbing structures. Results indicated that higher impact velocities led to increased energy absorption and peak forces but resulted in decreased crush force efficiency. Notably, the configuration with two screws in four grooves exhibited superior energy absorption and more favourable load distribution compared to the single screw design. These findings underscore the
R, Teddy Samuel, Mayakrishnan, Jaikumar
Intelligent Driver Behavior Analytics for Enhanced Road Safety2026-28-0054To be published on 02/01/2026
The present work on Intelligent Driver Behavior Analytics System that monitors and analyzes road users to ensure road safety and regulatory compliance, the system developed by using machine learning algorithms with the help of Raspberry Pi micro controller. It is said that most road accidents are caused by driver incompetency, yet, dangerous driving behavior is hard to detect on the road; this system monitors dangerous driving and other related behaviors that cause road accidents as well as contribute to noise pollution. It also alerts vehicle pauses on high-risk areas like road edges and also compares the routes planned to routes traveled on the GPS to alert any route slippage. Drivers, fleet managers and fleet operators get real-time feedback, and they are encouraged to take corrective action immediately. The system is expandable and is applicable to transportation agencies, public safety organizations and individuals who own vehicles and need to hone road safety and performance
Prasad, Gvl
Historical Memory-Based Database Management System for Effective ADAS Configuration in Autonomous and Connected Vehicles2026-28-0057To be published on 02/01/2026
The ability to store data is crucial for an autonomous vehicle system. Memorizing traffic signs, including their locations, can be easier than trying to read and understand them on the fly. Using the vehicle's location and other vehicle data, decisions can be made faster when using existing memory data. This study outlines a technique that utilizes an environmental structure database as a tool for decision-making in diverse vehicle scenarios. By collectively learning and storing vehicle location, historical data, and past actions, this paper results in a way to predict the environmental structure in advance and use the necessary control signals to optimize vehicle operation. In a connected vehicle system, there can be many reasons and factors to be considered in various events such as vehicle speed, parking location, speed changes, speed bumps, braking, etc. These are stored in a separate database, and the accuracy of the results is increased by comparing the actual data at that time
Santhiyagu, Arulanantha Samy
Microcontroller-based modular mirror for Heavy and Mid commercial vehicles2026-26-0018To be published on 01/16/2026
Existing ICE Mid and Heavy commercial vehicles in the Indian and international market are recording a large number of mishaps due to blind spots and non accessibility of the driver to the opposite side mirror in real-time driving. Non-driver side rear view mirror adjustment creates the need for the driver to get down and adjust the mirror manually/ get support from the co-passenger. The paper proposes a solution for a Microcontroller-based compact mirror adjustment system, which will run with minimal economy and highest efficiency. This will assist drivers in aesthetically and safely monitoring of mirror to check on specific blind spots in day conditions. Mirror will be actuated via a Modular control panel, a Dashboard with audio input or button-operated system based on vehicle type and customer need, along with a quick response mechanism to operate the mirror. This will reduce the prone accidents due to non-visibility by approximately 30%, ensuring enhanced road safety and driver
Jambagi, Vaibhavi Vyankatesh, Gangvekar, Onkar, Bhandari, Kiran Kamlakar
Facilitating Virtual Testing at an Industrial Level by Simulation Data Management2026-26-0440To be published on 01/16/2026
Automotive OEMs can derive significant cost savings by reducing the quantity of physical crash tests and thereby accelerate product development, when they follow the Euro NCAP Virtual Testing guidelines. It helps in optimizing the overall vehicle development process via more efficient simulations, as well as facilitates in early adoption of new safety regulations. In this pursuit, companies must comply with strict Euro NCAP requirements, which includes transparency and traceability of virtual tests. A major challenge therein is model validation – which requires highly precise detailing and extensive use of data for accurately replicating real physics of the problem. Deploying these workflows into an existing simulation process can be a complicated and time-consuming task, particularly when integrating various simulation and testing methods. A powerful simulation and process data management system (SPDM) can thereby assist companies to automate their entire simulation process, ensures
Thiele, Marko, Sharma, Harsh
Design and Validation of a Collapsible Brake Pedal System for Lower-Leg Protection in Frontal Impacts2026-26-0500To be published on 01/16/2026
Indian Passenger car accident data indicates that approximately 44% of crashes are frontal impacts. Among the injuries sustained in these crashes, lower leg injuries are notably critical, contributing to nearly 25% of driver occupant injuries. To evaluate such injuries, the Bharat New Car Assessment Program (BNCAP) includes lower leg injury metrics as part of the Frontal Offset Deformable Barrier (ODB64) test. While the overall injury performance is assessed at the vehicle level, BNCAP also monitors vehicle interior intrusions—particularly pedal intrusions—as key contributors to lower limb injury severity. A major challenge in frontal crashes is the intrusion of the vehicle's front-end structure into the occupant compartment. Rigid components, particularly the brake pedal assembly, can be displaced rearward during a crash, significantly increasing the risk of lower leg injuries. Therefore, minimizing pedal intrusions into the driver footwell is critical to enhancing lower leg
Shetti, Rahul R., Kudale, Shailesh, Naik, Nagaraj, Bisen, Badal, Kotak, Vijay, Dudhewar, Swapnil, Bhagat, Amit, Durgaprasad, HNV
The Impact of Color Correlated Temperature (CCT) on Automotive Headlights Performance and Driver Perception2026-26-0130To be published on 01/16/2026
Automotive lighting has been evolved from simple incandescent lamps to advanced LED based AFS and ADB functions. These lighting play crucial role in road traffic enhancing better visibility and safety to driver as well as other road users. Today’s Automotive Headlights use different light sources viz., Halogen, HID (Xenon), LED, and Laser each emitting light at different correlated color temperatures (CCT), measured in Kelvin (K). Color temperature not only influences visibility but also impacts the amount and perception of glare experienced by other drivers. The study was undertaken to evaluate the effect of correlated color temperature of automotive headlamps on driver visibility and comfort during night driving conditions. The experiment was conducted in a controlled laboratory environment using headlamps with different CCTs ranging from 3000K to 6500K. Participants from various age groups and genders were involved to capture diverse perceptions. Studies confirm that both CCT and
Patil, Mahendra G., Kirve, Jyoti, Parlikar, Padmakumar
Design Solutions for Ice-Induced CNG Filling Failures: Field Issue Resolution through Filter Geometry and Seal Material Reengineering2026-26-0515To be published on 01/16/2026
Compressed Natural Gas (CNG) systems in automotive applications are highly sensitive to fuel quality, especially with respect to moisture content. Field issues were observed where high moisture levels in the CNG led to the formation of ice inside the receptacle during refueling operations. This ice formation obstructed the CNG filling process and adversely impacted the sealing performance of the O-ring, particularly under low-temperature conditions induced by pressure differentials between the storage tank and the filling station. Investigation revealed that the existing tablet-type filter design contributed to moisture entrapment within its wire mesh, exacerbating ice formation within the receptacle. To address this, the filter design was modified from a tablet-type to a cup-type filter, significantly reducing the likelihood of moisture retention and subsequent ice formation. Additionally, the O-ring material was upgraded to a formulation with improved sealing properties at lower
Virmani, Nishant, Sawant, Shivraj Madhukar, C R, ABHIJITH
Chest Deflection mapping between HBM Connect® 50M and virtual ATD models2026-26-0010To be published on 01/16/2026
Objective Human Body Models (HBMs) are increasingly recognized by consumer protection agencies as essential tools for evaluating vehicle safety, complementing the use of traditional Anthropomorphic Test Devices (ATDs). However, HBMs are new for product development and pose challenges in connecting them with the ATDs. These challenges can be overcome if a link is established for the injury metrics between HBMs and ATDs. The study aims to develop a chest deflection mapping function between the HBM Connect® 50M (HBMC-50M) and two ATD models: THOR-50M and Hybrid III 50M for thoracic assessment in frontal impact. Method Several frontal chest loading scenarios were selected from the HBM4VT qualification catalogue (Euro NCAP technical bulletin CP 550), including hub impacts and table-top tests. Matched-pair LS-DYNA simulations were conducted with HBMC-50M and the ATD models recording peak chest deflections for developing the mapping function. In the HBMC-50M model, deflection outputs were
Velmurugan, Gopinath, Kumar PhD, Devendra, R, Udhaya Kumar, Kulavi, Pradeep, Soni, Anurag, Tejero de la Piedra, Ricardo, Fu, Stephen, Long, Teng, Arora, Tushar, Jagadish, Renuka, Shah, Chirag
Virtual Validation of ADAS Algorithms Using Driver-in-the-Loop Simulation2026-26-0050To be published on 01/16/2026
Driver-in-the-Loop (DIL) simulators have become crucial tools across automotive, aerospace, and maritime industries in enabling the evaluation of design concepts, testing of critical scenarios and provision of effective training in virtual environments. With the diverse applications of DIL simulators highlighting their significance in vehicle dynamics assessment, Advanced Driver Assistance Systems (ADAS) and autonomous vehicle development, testing of complex control systems is crucial for vehicle safety. A comprehensive review of current research trends reveals key areas of focus such as realism of simulated experiences through improved vehicle dynamics models and advanced sensory feedback. The integration of virtual and augmented reality technologies help to create more immersive and informative simulations to improve the cost-effectiveness and accessibility of DIL simulation platforms. By examining the current landscape of DIL simulator use cases, this paper critically focuses on
Sharma, Chinmaya, Bhagat, Ajinkya, Kale, Jyoti Ganesh, Karle, Ujjwala
Advancing Automotive Radar Characterization: OTA HIL Testing for Enhanced ADAS Safety2026-26-0043To be published on 01/16/2026
The increasing demand for reliable Advanced Driver-Assistance Systems (ADAS) and autonomous driving technologies necessitates the precise validation of automotive radar sensors. Traditional on-road testing, while effective, presents challenges such as limited repeatability, high costs, and safety concerns. To address these limitations, this paper introduces an Over-the-Air (OTA) Hardware-in-the-Loop (HIL) methodology for radar characterization, providing a controlled and repeatable lab-based validation approach. This methodology enables dynamic testing of key radar parameters, including range estimation, angle of arrival measurement, Doppler velocity analysis, and object detection accuracy. The proposed setup supports diverse testing scenarios, such as variable target distances, relative speeds, multiple object simulation, and environmental effects, ensuring a comprehensive evaluation of radar behaviour under complex and safety-critical conditions. Through OTA testing, developers can
Jadhav, Tejas, Karle, Ujjwala, Paul, Harshit, SNV, Karthik
Real-time Helmet Detection and Closed-Loop Enforcement System for Two-Wheelers2026-26-0650To be published on 01/16/2026
Need: In India, two-wheelers account for a significant portion of road traffic and contribute heavily to the national burden of road fatalities. Despite regulatory mandates, helmet non-compliance remains widespread due to limited enforcement reach and behavioral inertia. Currently there is no intelligent system that enforces helmet usage autonomously in a closed loop directly at the vehicle level. Motivation: The existing enforcement strategies such as traffic policing or external camera-based surveillance are reactive, infrastructure-dependent, and ineffective at scale. To overcome these limitations, we propose a real-time helmet detection and closed-loop system that is integrated into the two-wheeler itself. This approach promotes proactive safety compliance without relying on external monitoring infrastructure. Methodology: The proposed model is AI-powered, vision-based system that leverages deep learning techniques for helmet detection, supported by a custom-built dataset
Kandimalla, Om Mahalakshmi, Shah, Ravindra, Karle, Ujjwala
Leveraging road accident database to enhance ADAS features and testing protocols in context of Indian driving conditions2026-26-0014To be published on 01/16/2026
Advanced Driver Assistance Systems (ADAS) are pivotal in enhancing road safety by reducing human error and assisting drivers in critical situations. Since, major ADAS technologies are developed and validated using data and test scenarios that are predominantly based on driving conditions and road environments of developed countries. But for country like India where driving behaviour, traffic dynamics, road infrastructure and the accident characteristics differ significantly, the ADAS technologies and test scenarios validated by different forums create a critical gap in deploying such systems on vehicles to work on Indian roads. The objective of this research is to identify and generate India specific ADAS test scenarios from the Road Accident Sampling system India (RASSI) database, available MoRTH reports, data available from previously executed ADAS test cases, etc. Through this research we propose a methodology to identify, extract and analyse accident scenarios pertaining to Indian
Adhikari, Mayur, Bhagat, Ajinkya, Verma, Harshal, Kale, Jyoti Ganesh, Karle, Ujjwala, Sharma, Chinmaya
Achieving Robust Sensing Performance for Six-Airbag Systems: Design Approaches and Validation Techniques for Side Sensing2026-26-0030To be published on 01/16/2026
The introduction of GSR 16(E) in India mandates six airbags in passenger vehicles, aiming to enhance occupant safety. In parallel, the new Bharat New Car Assessment Program (BNCAP) outlines performance protocols that demand robust airbag deployment strategies to achieve a five-star safety rating. One of the critical challenges in meeting both regulatory and consumer safety expectations is the optimal packaging of the airbag Electronic Control Unit (ECU) and its associated impact sensors. These must perform reliably across regulatory tests, BNCAP protocols, and real-world accident scenarios. The location of side acceleration ‘g’ side impact sensors—whether mounted on the side sill, B-pillar, C-pillar, or door structures—is pivotal to achieving consistent and timely airbag deployment. These sensors must also demonstrate immunity to false triggers or missed events in both static and dynamic misuse and abuse conditions. Ensuring robust sensor performance under these varied conditions is
Kudale, Shailesh, Rao, Guruprakash, wayal, Virendra, Goswami, Tarun
Achieving full ASIL-B level functional safety (FuSa) for Automotive Clusters2026-26-0008To be published on 01/16/2026
Traditionally, automotive cluster modules have not placed strong emphasis on functional safety (FuSa) measures for capturing and displaying data. Most cluster components are developed with a focus on Quality Management (QM) levels, and proprietary implementations are often used without adhering to standardized safety approaches. This paper highlights the need to bring certain cluster components under an Automotive Safety Integrity Level B (ASIL-B) context, proposing a standardized and structured methodology for their development — particularly by adopting Classic AUTOSAR frameworks. Several critical components within the cluster demand FuSa mechanisms to ensure reliable and safe operation. These components should be designed to comply with key safety principles, including freedom from interference, execution under privileged levels, and integrity verification. The FuSa goals for these components also extend to their configuration management and update strategies within the cluster
Singh, Iqbal, Kumar, Praveen
Electro Magnetic Radiation Analysis for the Vehicle Cable and Shielding Techniques and Performance Assessment2026-26-0563To be published on 01/16/2026
This paper addresses the challenges and methodologies for evaluating radiated emissions from automotive electronic systems, which is critical for achieving electromagnetic interference and compatibility (EMI/EMC) standards. The rapid integration of advanced electronic components in modern vehicles has transformed automotive systems, their potential to generate electromagnetic interference (EMI) becomes a significant concern, particularly due to its impact on vital communication and safety systems. The study mainly investigates radiated EMI, which is the unintentional emission of electromagnetic energy emitted by HV cables in the wiring harness layout, potentially disrupting the operation of nearby systems. This study utilized CST Studio Suite to analyse the electromagnetic behaviour of vertically and horizontally polarized antenna configuration in electric vehicles. The simulated results are benchmarked against international EMI/EMC standards such as CISPR-12 and CISPR-25, which
MANUELRAJ, MASILAMANI, prasad PhD, Suryanarayana, Narayanan, Siva Suriya
Design of the BIW Structure for Battery Pack Protection in Case of Side Pole Impact2026-26-0025To be published on 01/16/2026
Electric vehicles (EVs) are becoming more popular than Internal Combustion Engine (ICE) powered vehicles, but their battery and motor components elevate their Gross Vehicle Weight (GVW), posing unique collision risks. Manufacturers strategically mount the high voltage (HV) battery packs under the passenger compartment to lower the Centre of Gravity and shield them from the front impacts. However, side impacts remain a concern, as the battery deformation in such instances could trigger fires or explosions, endangering occupants. To address this, crashworthiness designs adhere to New Car Assessment Program (NCAP) standards, particularly against side pole impact and side mobile barrier impact. Unlike the frontal section of BIW, which typically has larger crush space to absorb the crash energy, extensive design attention is required to the vehicle's side structure to absorb pole impacts without transmitting excessive force to the battery pack. Utilizing aluminium extrusions and sheet
Nivesh, Dharun, NAMANI, Prasad, Ramaraj, Rajasekar
Establishing a High-Pressure Direct Injection Hydrogen Engine Test Facility with Integrated Ammonia Fuel Capability: Technical Considerations, Safety Framework, and Best Practices2026-26-0267To be published on 01/16/2026
The transition toward zero-carbon propulsion technologies has highlighted the urgent need for specialized test infrastructure to support hydrogen and alternative fuel research. This paper presents the conceptualization, design, and operation of a High-Pressure Direct Injection (HPDI) Hydrogen Internal Combustion Engine (H2 ICE) test facility with integrated ammonia fuel testing capability, marking a significant advancement in India’s sustainable automotive research efforts. Drawing from practical experience, it outlines crucial technical specifications, safety protocols, and best practices for establishing robust, adaptable, and secure testing environments. Addressing the industry’s need for dedicated infrastructure, it is engineered for adaptability across various engine types—including heavy-duty, light-duty, and multi-utility vehicles—while aligning with global technical standards. Key technical considerations include the use of a transient dynamometer that features an advanced
Dhyani, Vipin, Kurien, Caneon, Subramanian, Balaji, Khandai, Chinmayananda, Muralidharan, M
Crowdsourcing Indian traffic scenarios for ADAS development and testing2026-26-0046To be published on 01/16/2026
In the Indian context, introduction of ADAS can play a positive role in improving road safety by assisting the driver and preventing unsafe driver behaviour. Technologies like Automated Emergency Braking (AEB), Lane Keep System, Adaptive Cruise Control, Driver Drowsiness Detection, Driver Alcohol detection etc., if deployed safely and used in a safe manner can help prevent many of the current road deaths in India. Safe deployment and safe use of such ADAS technologies require the systems to operate without failure within their operational design domains (ODD) and not surprise the drivers with sudden or unpredictable failures, to help develop their trust in the technology. As a result, identifying test scenarios remain a key step in the development of Advanced Driver Assistance Systems (ADAS). This remains a challenge due to the large test space especially for the Indian context due to the unpredictable traffic behaviour and occasional road infrastructure. In this paper, we introduce a
Serry, Hamid, Dodoiu, Tudor, Alakkad, Fadi, Zhang, Xizhe, Khastgir, Siddartha, Jennings, Paul
A Comparative Analysis of Road Accident data collected: A Multi-Country Study of Traffic Accidents in India, USA, UK and France2026-26-0247To be published on 01/16/2026
This paper presents a comparative study on the accident data collected in India with that of USA, France and UK. The data for the analysis and comparison are collected from trusted sources such as Open Government Data (OGD) and National Highway Traffic Safety Administration (NHTSA), GOV.UK and French Road Safety Observatory. By examining these datasets, the paper aims to identify trends and discrepancies in accident data collected across different countries and to verify if more documentation can help in bringing down the number of accidents. Reducing the frequency of accidents requires an understanding of the underlying causes of each one, which can only be achieved by conducting in-depth analysis of the accident data and comparing the parameters with data from Integrated Road Accident Database (iRAD). The primary objective of this paper is to find documentation gaps and propose potential improvements to the documentation process in India that would ensure that research organizations
Raj, Aswin, Raja, Dheepan, Abhimanyu Shinde, Antriksh
Addressing Safety Belt Discomfort Among Female Driving Population Through Data Collection and Simulation2026-26-0016To be published on 01/16/2026
The rate of female drivers in India is increasing alongside the rapid growth of the Indian automotive industry. A driving comfort survey conducted among female drivers revealed that many experiences dis-comfort when wearing Safety belts-whether while driving or as front-seat passengers. This discomfort is primarily due to a phenomenon referred to as "neck cutting." The root cause of neck cutting is likely related to vehicle design, which is traditionally based on Anthropometric Test Devices (ATD's) representing the 5th, 50th & 95th percentile (%tile) of the global population. However, a literature review indicated that the anthropometric dimensions of the Indian populations are generally smaller than those of the global for the respective candidate. This highlighted the need to collect region-specific anthropometric data for India. To validate the neck-cutting issue, various female candidates were asked to sit in the Driver's seat for physical measurements trials. Accordingly
Kulkarni, Nachiket A, Chitodkar, Vivek V, Eknath Chopade, Santosh, Mahajan, Rahul, Yamgar, Babasaheb S
Application framework with multi-tiered approach in validating UI based animation in automotive product.2026-26-0586To be published on 01/16/2026
As part of their market segmentation strategy, each OEM is using UX (user experience) as a crucial aspect for product differentiation. Though there are many parts to UX, the one which would have a profound effect on the user is through animation of real-world aspects on the instrument panel, like falling snowflakes when it’s snowing outside, real time traffic conditions as part of Advanced Driver Assistance Systems (ADAS) or even a unique welcome or farewell message. The unique and realistic nature of such implementations and customizing it to the needs of market segments introduces a lot of complexity in evaluating the correctness of implementation with respect to design. In this paper, we would extensively evaluate the current practices in analyzing the test basis, test environment needs, test data and test methods used in testing animation. However, the primary focus of this paper is to introduce a novel multi-tiered approach towards evaluating animations - where we would introduce
Kandrattha A, Mohammed Azharuddin, Kulkarni, Apoorva
Ocular-Behavioral Metrics for Driver State Classification for Indian Driving Contexts: KSS-Based Evaluation, Conformance and implementation challenges2026-26-0668To be published on 01/16/2026
With the increasing integration of Advanced Driver Assistance Systems (ADAS) in Indian automotive markets, robust Driver Monitoring Systems (DMS) have become critical for road safety. This study focuses on the development and validation of a Driver Distraction and Attention Warning System (DDAWS), tailored to the unique challenges of Indian driving conditions. The DDAWS module, a core component of DMS, leverages a driver-facing high-resolution camera to continuously evaluate driver behaviour. The system architecture is bifurcated into two primary subsystems: the Driver Attention Monitoring module and the Drowsiness Detection module. DMS primarily is divided into two parts, first being the Driver Attention monitoring system, which ensures the driver maintain a proper focus on the road by not being distracted either by the inner and the external environment of the vehicle. This is generally achieved using the head pose monitoring of the driver, post processing which results in an
Verma, Harshal, Kale, Jyoti Ganesh, Karle, Ujjwala
Development of Component Level Testing Method for Passenger Car Wheels2026-26-0504To be published on 01/16/2026
In the design of automotive wheels, safety is a crucial factor. Wheels contribute to a vehicle handling, braking and overall driving performance. Wheel are designed to withstand the weight of the vehicle and force generated during driving. It is the medium which isolates the obstacles coming from roads. Impact tests are usually performed after the wheel has been already designed and first prototypes have been produced. The test involves 90-degree free fall dynamic impact to determine the wheel resistance to deformation, cracking and overall structural failure. Its best method to captured the exact results during and post impact. These results are contributes the major role in development of automotive wheel rims. Most of the OEM’s are validating the wheels in virtual environment as FEA analysis software and LS Dyna. In this paper detailed procedure of testing of wheels at component level is presented. This work determines the development of test procedure for passenger car wheels in
Roham, Prasad, Bagade, Mohan, Sinnarkar, Nitin, Pawar, Prashant R, Shinde, Vikram
A procedure for validation of full vehicle CAE models with physical tests for passive safety applications2026-26-0411To be published on 01/16/2026
With the fast development of computational analysis tools and capacities during the past ten years, complex and substantial computer-aided engineering (CAE) simulations are now economically possible. While the cost of crash tests has risen steadily, the fidelity and complexity, which numerical simulations could address, has multiplied keeping the cost of computational analysis more stable. The use of CAE simulations complements physical testing, accelerating the product development process, reducing cost, and ensuring safe and more optimized designs. The fundamental goal of CAE is a significant reduction in the number of physical tests conducted during the product development process. However, validating the CAE model with physical tests is essential to ensure accuracy and reliability. Simulations performed using a validated CAE model could be used to make decisions like airbag deployment or high voltage shutdown without an actual physical test. This paper discusses validating an
UPENDRAN, ANOOP, Knuth, Joseph, krishnappa, Giri, Punnaiappan, Arunsankar
Optimizing Collision Warnings: A Shift from Time to Collide to Time to Brake2026-26-0047To be published on 01/16/2026
In automotive safety systems, Time to Collide (TTC) is traditionally used to trigger warnings in auto-emergency braking systems. However, TTC can lead to premature or inaccurate warnings as it is calculated based on the relative speed and distance between the ego and an obstacle. TTC does not consider the vehicle's braking dynamics, such as brake prefill lag which varies across different vehicles, maximum deceleration, and the effectiveness of braking systems and assumes constant speed which may not always be realistic. We propose Time to Brake (TTB) as a more effective parameter for driver warnings. TTB directly relates to the action a driver needs to take—braking. It provides a clear indication of when braking should begin to avoid a collision, whereas TTC only tells us about the possibility of a collision. To calculate TTB we utilize the brake profile, which incorporates both deceleration and system jerk for improved accuracy. The proposed warning time is the sum of variable brake
Singh, Ashutosh Prakash, Kumawat, Himanshu, Gupta, Sara
Development of a New Methodology for Measuring the Dimensions of Lighting Components in Construction Equipment Vehicles (CEVs) as per IS/ISO 12509:2004 using 3-Dimensional Planar Laser.2026-26-0145To be published on 01/16/2026
The light and light signalling devices installation test as per ISO 12509:2004 for Earth Moving Machinery / Construction Equipment Vehicles (CEV’s) is a mandatory test to ensure the safety of both road users and operators. Considering the shape and size of CEV’s, accurate measurement of lighting installation requirements is crucial for ensuring safety and regulatory compliance. The international standard ISO 12509:2004 specifies detailed criteria for these installations, including precise dimensional measurements of lighting components to guarantee optimal visibility and safety. Considering shape and Size of CEV’s, the accurate measurement of lighting installation requirements is crucial for regulatory compliance. ISO 12509:2004 outlines specific criteria for these installations requirements of lighting components, including the precise measurement of various dimensions to ensure optimal visibility and safety. Among these dimensional requirements, the dimension 'E' i.e., the “distance
Ghodke, Dhananjay Sunil, Belavadi Venkataramaiah, Shamsundara, Tambolkar, Sonali Ameya
An Innovative Crash Sensing System Architecture for Robust functionality of Safety restraints in different Challenging Real World Accident scenarios2026-26-0017To be published on 01/16/2026
Title: An Innovative Crash Sensing System Architecture for Robust functionality of Safety restraints in different Challenging Real World Accident scenarios. Authors: Sunil Kovalam, Harihara Sudhan, Praveen Bansode and Sanjay Gaddamwar Mahindra & Mahindra Ltd Abstract: In the emerging markets especially like India and other similar countries, growing traffic density on the roads leading to different kind of accident types including head on collision, rear end collision, side impact collision and accidents involving with pedestrians or cyclists or two wheelers etc. These accidents could be due to over-speeding, distracted driving and inadequate road infrastructure. Providing necessary safety restraints system (Airbags and Seat belts) and its robust functionality in different real world accident scenarios will be a challenging to vehicle manufactures. It is a high time to redefine the traditional crash sensing architecture strategies with logical approach based on the thorough study of
KOVALAM, SUNIL KUMAR
Occupant Kinematics and injuries during high speed side impacts: An analysis of ARAI data 2016-20242026-26-0027To be published on 01/16/2026
The objective of the present study was to examine trends in occupant kinematics and injuries during side impact tests carried out on vehicle models over the period of time . Head, shoulder, torso, spine, and pelvis kinematic responses are analyzed for driver dummy in high speed side impacts for vehicle model years, MY2016-2024. Automotive Research Association of India side impact crash data is examined. The test procedure involved a 50.0 km/h moving deformable barrier (MDB) impacting the sides of stationary vehicles. Instrumented 50th-percentile male EURO SID-2 dummy was positioned in the driver seat. Occupant kinematics data, including head accelerations, Head Injury Criterion (HIC15), Torso deflections at thorax and abdominal ribs, spine accelerations at T12, and pelvis accelerations were evaluated and compared. The “peak” and “time to- peak” responses were compared across different vehicle model years. The effect of delta-V, vehicle MY, on occupant kinematics was examined. For
Mishra, Satish, Borse, Tanmay, Kulkarni, Dileep, Mahajan, Rahul
Jerk evaluation criteria for pedestrian head impact on Windshield and technological requirement to meet the criteria2026-26-0023To be published on 01/16/2026
The safety of vulnerable road users, particularly pedestrians, cyclists, and motorcyclists, is a paramount concern in automotive design and regulation. In India, the situation is particularly alarming, with pedestrians being the second highest victims of road accidents, as evidenced by over 32,825 reported pedestrian accidents and 4,836 cyclist fatalities in 2022, excluding two-wheeler motorcyclists. On a global scale, the prevalence of such incidents has prompted European countries to introduce new regulatory requirements, such as ECE R127.03. This regulation encompasses the evaluation of pedestrian head form impacts on windshields, assessing the typical behavior of glass through jerk criteria following initial contact, in conjunction with the existing Head Injury Criterion (HIC) evaluation for pedestrian head forms. These criteria are meticulously designed to ensure that both acceleration and jerk remain within safe limits to reduce the severe injury to head of vulnerable road users
Kumar, Ritik, A, Rajesh
MOSAIC-TARA: A Comprehensive TARA Methodology for Automotive Cybersecurity2026-26-0609To be published on 01/16/2026
Threat Analysis and Risk Assessment (TARA) is a continuous activity, acting as a foundation of cybersecurity analysis for electrical and electronics automotive products. Existing TARA methodologies in the automotive domain exhibits challenges due to redundant and manual processes, particularly in handling recurring common assets across Electronic Control Units (ECUs) and functional domains. Two primary approaches observed for performing TARA are Manual-Asset-Centric TARA and Catalogue-Driven TARA. Manual-Asset Centric TARA is constructed from scratch by manually identifying the assets, calculating risks by likelihood, and impact determination. Catalogue-Driven TARA utilizes the precompiled likelihood and impact against identified assets. Both approaches lack standardized and modular mechanisms for abstraction and reuse. This results in poor scalability, increased efforts, and difficulty in maintaining consistency across vehicle platforms. The proposed method in this research overcomes
Goyal, Yogendra, Sinha, Swati, Sutar, Swapnil, Jaisingh, Sanjay
Enhancing Pedestrian Safety: LIDAR-Based Deployment of Front LID/Bonnet and Airbag Systems in Heavy Commercial Vehicles During Low-Speed collisions.2026-26-0006To be published on 01/16/2026
As urban populations continue to grow, the safety of Vulnerable Road Users (VRUs) particularly in the presence of Heavy Good Vehicles (HGVs) has emerged as a critical concern. Research indicates that VRUs are at a 50% higher risk of fatal injury in collisions involving HGVs compared to passenger cars [1] [2]. To address this issue, this study proposes a novel pedestrian protection system that integrates LiDAR (Light Detection and Ranging) technology with a reusable airbag system to mitigate the severity of collisions. The proposed solution adopts a twofold approach for enhancing VRU protection in scenarios involving HGVs. In both approaches, LiDAR sensors are used to generate a real-time 3D model of the vehicle’s surroundings, enabling accurate VRU detection and predictive collision analysis. • Scenario 1: When vehicle speed exceeds the first threshold and a collision is unavoidable, the onboard ECU activates front lid actuators, extending the vehicle's front lid which can be retracted
Patil, Uday, Sriharsha, Viswanath, Pillai, Rajiv
Accelerating engine auxiliaries’ development by deploying ML techniques in CFD virtual verification2026-26-0374To be published on 01/16/2026
The automotive and off-road industries are heavily investing in research and development (R&D) to improve both physical and virtual verification and validation techniques. Recent software and hardware advancements have extended these techniques from simple component evaluations to complex system assessments such as involving multi-physics scenarios. Despite the benefits of virtual validation tools like structural analysis and computational fluid dynamics (CFD), they often come with high development costs, particularly in CFD applications. Virtual verification methodology, especially when combined with data science, offer significant advantages over traditional physical methods by enhancing computer-aided engineering (CAE) efficiency and reducing resource consumption which can greatly improve product design and validation efficiency across many industries. The success of machine learning applications depends on effective data processing, adequate computational resources, and the right
Jadhav, Mitali, Kumbhar, Appaso, Tirumala, Bhaskar, Nisha, Kumari
Predictive Simulation Framework for Tyre Curb Impact Durability Assessment and Design Optimization2026-26-0396To be published on 01/16/2026
Tyre structural durability validation is a critical aspect of automotive design, considering the worsening road conditions. One of the key validation tests for assessing structural integrity is the curb impact test, which evaluates the tyre's ability to withstand sudden and concentrated impacts. Typically, this process involves physical testing of preliminary tyre samples, followed by iterative modifications to the tyre's construction to meet durability requirements. However, this approach often compromises ride performance, necessitating a more efficient and predictive methodology. To address this challenge, a frugal simulation-based prediction methodology has been developed to evaluate tyre curb impact durability before vehicle-level testing. This allows for the optimization of tyre design parameters early in the development process, ensuring structural performance while minimizing ride and handling (R&H) tuning iterations. By reducing the number of iterations, the methodology
Sundaramoorthy, Ragasruoban, LENKA., VISWESWARA
ALLOY WHEEL RIM LINEAR CRASH VALIDATION WITH BENCH LEVEL TEST PROCEDURE2026-26-0574To be published on 01/16/2026
Crash test plays a very crucial role in determining the passenger safety along with driver safety in most modern vehicles. This has become a prominent factor for many buyers to choose a safe car. During crash test, many components tend to fail. Amongst them, the major safety critical component which hampers the drivability of a vehicle is Wheel and Tyre Assembly. With the introduction of low aspect tyres, the failure rate of these assemblies has increased. A very high importance is given to ensure these parts withstand the subjection load as it is directly related to function of vehicle. Many methods are available to test the Wheel and Tyre assembly to ensure they pass the crash criteria. We have developed a novel test method which can simulate the crash pattern in the rig/bench level. The method employs a mechanical actuator which can be operated at designated load application to ensure the assembly undergoes the anticipated failure. The process is repeated with different types of
Medaboyina, HarshaVardhan, Singh, Ram Krishnan, SUNDARAM, RAGHUPATHI, Jithendhar, Ashokan
GEOMETRICAL ASSESSMENT OF THE CURTAIN AIRBAG COVERAGE IN INDIAN PASSENGER VEHICLES2026-26-0021To be published on 01/16/2026
Worldwide accident statistics for passenger vehicles indicate that the number of pole side impacts usually constitute a small percentage of total accident numbers. However, the rate of fatalities in narrow object side impacts is usually the highest due to direct exposure of head with the pole/narrow objects. Curtain airbags are the most effective protective systems to prevent severe/fatal head injuries in side collisions with narrow objects such as poles or trees. One of the important parameter of curtain airbags is the inflated zone of the airbag, which decides the possibility of head exposure for occupants with different anthropometries with narrow objects. To address this issue, EuroNCAP first introduced the concept of Head Protection Device Assessment (HPDA) in 2015, which in addition to the performance requirements in dynamic test, assesses the deployed curtain airbag for its area coverage and inflated zones for various anthropometries over occupant rows. With introduction of
Jaju, Divyan, Kulkarni, Dileep, Mahajan, Rahul
Investigating Pelvic Locking and Torso Kinematics using Human Body Models in Frontal Impact Scenarios2026-26-0002To be published on 01/16/2026
Occupant Safety systems are usually developed using anthropomorphic test devices (ATDs), such as the Hybrid III, THOR-50M, ES-2, and WorldSID. However, in compliance with NCAP and regulatory guidelines, these ATDs are designed for specific crash scenarios, typically frontal and side impacts involving upright occupants. As vehicles evolve (e.g., autonomous layouts, diverse occupant populations), ATDs are proving increasingly inadequate for capturing real-world injury mechanisms. This has led to the adoption of computational Human Body Models (HBMs), such as the Global Human Body Models Consortium (GHBMC) and Total Human Model for Safety (THUMS), which offer superior anatomical fidelity, variable anthropometry, active muscle behaviour modelling, and improved postural flexibility. HBMs can predict internal injuries that ATDs cannot, making them valuable tools for future vehicle safety development. This study uses a sled CAE simulation environment to analyze the kinematics of the HBMs
Raj, Pavan, Rao, Guruprakash, Pendurthi, Chaitanya Sagar, Nehe, Vaibhav, Chavan, Avinash
Side Crash Pressure Sensor response Prediction: CPM approach2026-26-0413To be published on 01/16/2026
Side crashes are generally hazardous because there is no room for large deformation to protect an occupant from the crash forces. A crucial point in side impacts is the rapid intrusion of the side structure into the passenger compartment which need sufficient space between occupants and door trim to enable a proper unfolding of the side airbag. This problem can be alleviated by using the rising air pressure inside the door as an additional input for crash sensing. With improvements in the crash sensor technology, pressure sensors that detect pressure changes in door cavities have been developed recently for vehicle crash safety applications. The crash pulses recorded by the acceleration based crash sensors usually exhibit high frequency and noisy responses. The data obtained from the pressure sensors exhibit lower frequency and less noisy responses. Due to its ability to discriminate crash severities and allow the restraint devices to deploy earlier, the pressure sensor technology has
Bhagat, Milind, Narale, Naganath, MAHAJAN, Ashutosh, wayal, Virendra, Jadhav, Swapnil
Characterization and material card calibration of PU foam under various strain rates for crash Simulation2026-26-0464To be published on 01/16/2026
Polyurethane (PU) foams are extensively utilized in automotive crash structures, seats, and interior components due to their exceptional capacity for energy absorption and dissipation during impact events. Specifically, PU foams in vehicle seats play a critical role in protecting occupants during crash scenarios by absorbing energy, distributing forces, and enhancing seatbelt performance, as well as providing countermeasures for head impact protection. The movement of the seat and the direction of the force during crash testing are inherently unpredictable. The material behavior of PU foam is captured using an isotropic, hyper-elasticity-based constitutive model available in LS-DYNA through *MAT_083. This model is designed to take into account the foam's compressibility, sensitivity to strain rates, low Poisson's ratio, and hysteresis. The characterization of a PU foam with a nominal density of 65 kg/m3 was performed using quasi-static compressive testing of 0.01/s and dynamic
Gaurav, Ashish Kumar, Krishnamoorthy, Kunju, Varatharajan, Senthilkumaran
Next-Gen Driver Health and Wellness Platform for Fatigue Detection and Emotional Wellbeing Monitoring2026-26-0639To be published on 01/16/2026
Driver fatigue and emotional distress are major contributors to traffic accidents, especially among long-haul and professional drivers, making their detection a critical area in road safety and public health. While existing research has explored various sensor-based and wearable solutions to monitor driver states, these approaches often suffer from high cost, intrusiveness, or limited scalability. Camera-based systems have recently gained attention for being less invasive and more practical for real-world deployment; however, many still depend on multiple sensors or cloud-based processing, which raise concerns around energy consumption, privacy, and integration complexity. To address these gaps, we present a sustainable, camera-only Driver Health and Wellness Platform for real-time fatigue detection and emotional wellbeing monitoring. The system leverages a single in-cabin camera and applies lightweight, edge-optimized computer vision models to analyze facial features, eye dynamics
Iqbal, Shoaib, Imteyaz, Shahma
Enhancing EV Battery Safety: Progressive Crushing and Energy Absorption Techniques2026-26-0189To be published on 01/16/2026
• The paper presents and provides a crash energy absorption assembly and method for enhancing the safety and structural integrity of battery packs in electric vehicles during collision events adhering to global regulations. • One of our novel analyses is described here, in which the assembly comprises a battery housing designed to mount one or more battery cells, at least one crash member coupled to the side surface of the battery housing, flexural members coupled to the crash member. The flexural members are designed to absorb impact forces, deform, and store potential energy during sudden impacts. This innovative approach ensures that the energy is stored within the flexural elements rather than being transferred to the battery cells, thereby reducing almost cell intrusion for example by 50% under a 100kN which is EC100R requirement. The design effectively delays intrusion, enhances battery safety and minimizes cell-level damage. • Also, the strategic placement of flexural members
Amberkar S, Sunil, Lakshman singh, Meenakumari, Bodaindala, Anil Kumar
Intelligent Child-Safety Inhibition framework for preventing accidental vehicle activation2026-26-0013To be published on 01/16/2026
Modern vehicle technologies such as keyless entry, push-button start, digital switches have made it easier and more convenient to operate cars. However, this ease of operation has also introduced new safety concerns, particularly the increased risk of accidental operations by children. This can lead to unintentional vehicle movement, injuries, and even fatalities. Existing safety features (e.g., unattended child presence alarms) mitigate entrapment risks but do not prevent children from unintentionally starting or shifting while inside. This paper proposes implementation of a solution for child-safety system which inhibits certain functionalities to prevent accidental operations by underage occupants. The proposed system combines multiple existing technologies like weight sensors, seat position detection, facial recognition, in vehicle camera tracking to determine the child presence. With this, certain operations can be temporarily inhibited, or the vehicle can ask for secondary
MOTE, VAISHALI, Garg, Mudit, Pasupuleti, Raju
Enhancing Factory Modelling: Integrating Drone Technology and Automated Post Processing Systems2026-26-0307To be published on 01/16/2026
The growing environmental, economic, and social challenges have spurred a demand for cleaner mobility solutions. In response to the transformative changes in the automotive sector, manufacturers must prioritize digital validation of products, manufacturing processes, and tools prior to mass production. This ensures efficiency, accuracy, and cost-effectiveness. By utilizing 3D modeling of factory layouts, factory planners can digitally validate production line changes, substantially reducing costs when introducing new products. One key innovation involves creating 3D models using point cloud data from factory scans. Traditional factory scanning processes face limitations like blind spots and periodic scanning intervals. This research proposes using drones equipped with LiDAR (Light Detection and Ranging) technology for 3D scanning, enabling real-time mapping, autonomous operation, and efficient data collection. Drones can navigate complex areas, access small spaces, and optimize factory
Narad, Akshay Maruti, C H, Ajheyasimha, Vijayasekaran, Vinothkumar, FASGE, ABHISHEK
Static Rollover Stability Analysis of Heavy Tipper vehicle2026-26-0090To be published on 01/16/2026
Heavy tipper vehicles are primarily utilized for transporting ores and construction materials. These vehicles often operate in challenging locations, such as mining sites, riverbeds, and stone quarries, where the roads are unpaved and characterized by highly uneven elevations in both the longitudinal and lateral directions of vehicle travel. During the unloading process, the tipper bodies are raised to significant heights, which increases the vehicle's centre of gravity, particularly if the payload material does not discharge quickly. Such conditions can lead to tipper rollover accidents, causing severe damage to life and substantial vehicle breakdowns. To analyse this issue, a study is conducted on the vehicle design parameters affecting the rollover stability of a 35-ton GVW tipper using multi-body simulations in ADAMS software. The tilt table test was simulated to determine the table angle at which wheel lift occurs. Initially, simulations are performed with the rigid body model
Vichare, Chaitanya Ashok, Patil, Sudhir, Gupta, Amit
Electroluminescent Coating Systems for Heavy-Duty Trucks: Advancing Safety and Sustainability through Smart Surface Technology2026-26-0275To be published on 01/16/2026
As the transportation industry pivots towards safer and more sustainable mobility solutions, the role of advanced surface technologies is becoming increasingly critical. This paper presents a novel application of electroluminescent (EL) coating systems in heavy-duty trucks, exploring to enhance safety and environmental impact through lightweight, energy-efficient lighting integration. EL coatings, capable of emitting light uniformly across painted surfaces when electrically activated, offer a transformative alternative to conventional lighting systems and reflective materials. In the context of heavy-duty trucks, these systems can significantly improve visibility under low-light and adverse weather conditions, thereby reducing the risk of road accidents. Furthermore, illumination achieved without bulky fixtures and without interface gaps contributes to aerodynamic efficiency, fuel economy and reducing carbon emissions. use of this coating system, can optimize tooled up plastic part and
Harel, Samarth Dattatraya, Borse, Manoj, L, Kavya
A Model Based Framework for Safety Risk Assessment using Systems Theoretic Process Analysis for ASIL Justification According to ISO 262622026-26-0022To be published on 01/16/2026
With advancements in automotive systems, particularly in autonomous and electric vehicles, the increasing complexity of modern vehicular systems is challenging the traditional safety analysis methods prescribed by ISO 26262. Failure-based safety analysis techniques often struggle to identify systematic risks arising from software interactions, human factors, and emergent behaviors. This paper addresses this gap by providing a framework that utilizes Systems-Theoretic Process Analysis (STPA) to complement ISO 26262’s hazard analysis methods by considering emergent hazards during the justification of Automotive Safety Integrity Levels (ASIL). The aim of this paper is to present a model-driven hybrid methodology that combines traditional fault-based approaches with STPA for traceable ASIL justification, thereby enhancing ISO 26262’s Hazard Analysis and Risk Assessment (HARA) process. This approach allows for the integration of contemporary safety analysis techniques like STPA into
NAG, PRAMIT, Ali, Sam, Roy Choudhury, Diyanjan
Single Radar: A Robust and Cost-Effective Solution for ADAS and Parking functionality2026-26-0049To be published on 01/16/2026
With rapid advancements in Autonomous Driving (AD) & Advanced Driver Assistance Systems (ADAS), numerous sensors are integrated in vehicles to achieve higher and reliable level of autonomy. Due to the growing number of sensors and its fusion creates complex architecture which causes challenges in calibration, cost, and system reliability. Considering the need for further ADAS advancements and addressing the challenges, this paper evaluates a novel solution called One Radar - a single radar system with a wide field of view enabled by advanced antenna design. Placing the One Radar at the rear of the vehicle eliminates the need for corner radars and ultrasonic sensors used for parking assistance. With rigorous real-world testing in different urban and low-speed scenarios, the One Radar solution showed comparable accuracy in object detection with warning and parking assistance to the conventional combination of corner radars and ultrasonic sensors. The simple single sensor-based
Anandan, Ram, Sharma, Akash
Packaging the HPTS Airbag in a Second-row bench seat2026-26-0033To be published on 01/16/2026
Seats of modern cars should necessarily meet the regulatory safety norms along with aesthetics and comfort. In the existing passenger cars prevailing across the Indian subcontinent, the measure of safety has been a challenging one. The stringent regulatory norms thereby make the Airbag very promising. In the domain of automotive safety, certain features hold exceptional importance, with airbags taking a forefront position. Their fundamental objective is to provide an advanced level of safety for both the driver and passengers in the unfortunate event of a collision. This is accomplished through the automatic deployment of an inflatable airbag, engineered to swiftly respond during a crash and furnish the necessary sophisticated cushioning to enhance overall passenger safety. The technology has been practiced widely upon a many vehicles seat. However, the present work highlights a novel approach of packaging the HPTS air bag in second row seat. This Air bag unit is fitted in the seat
Buradkar, Rajat, BOSE, KARTHIK, JADHAV, DEEPIKA, Balakrishnan, Gangadharan
Risk Based Security Monitoring Framework for CAN network2026-26-0616To be published on 01/16/2026
There is rapidly increasing advancement in Connectivity, Autonomous, Subscription and Electrification features in vehicles which are being developed. These trends have resulted in an increase in attack surface and security risks on vehicles. To handle these growing risks, it has become important to include passive security systems such as Intrusion detection systems (IDS) which can detect successful or possible attempts of intrusion into vehicle systems compromising their security. In vehicles based on Zonal Architecture, two types of IDS can be implemented, Network based IDS (NIDS) and Host Based IDS (HIDS). The NIDS is implemented in Gateway Electronic Control Unit (ECU) and can monitor multiple networks connected to Gateway, whereas the HIDS usually monitors one single host ECU. Extensive research material is available on NIDS for CAN Networks. For example, the CAN Network in a vehicle is monitored for various abnormal behaviours such as increased busload and invalid signal values
E L, Nanda Kumar, Mutagi, Megha, Sonnad, Preeti, Sharma, Dhiraj
Integrated Quality Assurance Frameworks for Testing Advanced Automotive Systems in the Era of ADAS and E-Mobility2026-26-0568To be published on 01/16/2026
As the automotive industry rapidly transitions toward intelligent, electrified, and connected mobility, ensuring the safety and performance of advanced vehicle systems has become increasingly complex. Technologies such as Advanced Driver Assistance Systems (ADAS), electric powertrains, and software-defined architectures demand robust quality assurance (QA) frameworks capable of addressing the multi-domain nature of modern vehicle platforms. This paper presents an integrated QA methodology that combines traditional testing protocols with model-based validation, digital twin environments, and real-time system monitoring to comprehensively evaluate the reliability and functionality of next-generation automotive systems. The proposed framework focuses on end-to-end traceability from requirements to validation, encompassing hardware-in-the-loop (HIL), software-in-the-loop (SIL), and over-the-air (OTA) testing strategies. Emphasis is placed on simulating complex scenarios for ADAS, battery
KOMANDURI, ARUN SRINIVAS, Srivastava, Anuj
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