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Manalikandy, Mithun
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Secure vehicular communication using blockchain technology

Tata Elxsi, Ltd.-Vidya Krishnan M, Rajesh Koduri, Sivaprasad Nandyala, Mithun Manalikandy
  • Technical Paper
  • 2020-01-0722
To be published on 2020-04-14 by SAE International in United States
The cars we drive are rapidly transforming. Connected vehicles in the context of the Advanced Driver Assistance System or Autonomous Vehicles are about to change the way we drive cars. Connected Vehicles are futuristic vehicles that can interact with other vehicles for passing on information such as, mapping and localization, information about road traffic and driving behaviour. However, such vehicles, particularly the autonomous ones, are prone to a variety of attacks including cyber-attacks. These malicious attacks can intrude a vehicle that not only endangers the vehicles safety, but also the life of passengers and the nearby environment. Thus, identifying and eliminating these attacks for providing a secure communication environment is of great need. Also, all the existing methods for vehicular communication rely on a centralized server which itself invite massive cyber-security threats. These threats and challenges can be addressed by using the Blockchain (BC) technology, where each transaction is logged in a decentralized immutable BC ledger. In this work, we show how BC can facilitate communication between connected vehicles to send and receive information while…
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Scalable decentralized solution for secure Vehicle-to-Vehicle communication

Tata Elxsi, Ltd.-Sreelakshmi S. Vattaparambil, Rajesh Koduri, Sivaprasad Nandyala, Mithun Manalikandy
  • Technical Paper
  • 2020-01-0724
To be published on 2020-04-14 by SAE International in United States
The automotive industry is set for a rapid transformation in the next few years in terms of communication. The kind of growth the automotive industry is poised for in fields of connected cars is both fascinating and alarming at the same time. The communication devices equipped to the cars and the data exchanges done between vehicle to a vehicle are prone to a lot of cyber-related attacks. The signals that are sent using Vehicular Adhoc Network (VANET) between vehicles can be eavesdropped by the attackers and it may be used for various attacks such as the man in the middle attack, DOS attack and Sybil attack. These attacks can be prevented using the Blockchain technology, where each transaction are logged in a decentralized immutable Blockchain ledger. This provides authenticity and integrity to the signals. But the use of Blockchain Platforms such as Ethereum has various drawbacks like scalability which makes it infeasible for connected car system. In this paper, we propose a solution to address various drawbacks of VANET such as privacy issues and, security…
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Wireless Charging for EV/HEV with Prescriptive Analytics, Machine Learning, Cybersecurity and Blockchain Technology: Ongoing and Future Trends

Vikas Mishra
Tata Elxsi Ltd-Abid Rahman Kodakkadan, Rajesh Koduri, Sivaprasad Nandyala, Mithun Manalikandy
Published 2019-04-02 by SAE International in United States
Due to the rapid development in the technological aspect of the autonomous vehicle (AV), there is a compelling need for research in the field vehicle efficiency and emission reduction without affecting the performance, safety and reliability of the vehicle. Electric vehicle (EV) with rechargeable battery has been proved to be a practical solution for the above problem. In order to utilize the maximum capacity of the battery, a proper power management and control mechanism need to be developed such that it does not affect the performance, reliability and safety of vehicle. Different optimization techniques along with deterministic dynamic programming (DDP) approach are used for the power distribution and management control. The battery-operated electric vehicle can be recharged either by plug-in a wired connection or by the inductive mean (i.e. wirelessly) with the help of the electromagnetic field energy. These inductive and wireless charging techniques utilize the principle of electromagnetic induction for transferring the power. The design of the wireless charging system, can be divided into three primary stage such as coil design, compensation topology and…
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Emotion Analytics for Advanced Driver Monitoring System

Tata Elxsi Ltd-Sivaprasad Nandyala, Gayathri K, Chandra Bhushan, Varaprasad Gandi, Mithun Manalikandy
Published 2019-01-09 by SAE International in United States
From the recent advances in Driver Monitoring Systems (DMS) from automotive domain, research on Human Computer Interaction (HCI) based on emotion analytics has gained good interest from the research circles. Distraction and drowsiness will be causing more percentage of traffic accidents, but with the use of advanced DMS technology, we can significantly reduce these distractions and can make the driving a safer activity. Our proposed solution/approach with disguised emotion detection with analytics is enabled by machine learning and image processing algorithms to ensure that the detection of drowsiness or distraction is very accurate. The proposed method will inform the HMI system to provide an alert to wake up the driver if he or she is in drowsy state or take the proactive/necessary actions with the help of active safety systems. Emotion analytics is a technique which is used to analyze the emotion of an individual. It is used to recognize the change in the emotion. Deep Learning is used for the implementation of computer vision techniques which is implemented with the help of Convolutional Neural…
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Human Emotion Based Interior Lighting Control

Tata Elxsi, Ltd.-Sivaprasad Nandyala, Gayathri K, Sharath D H, Mithun Manalikandy
Published 2018-04-03 by SAE International in United States
In recent years, research on Human Computer Interaction (HCI) based on emotion recognition using behavioral and physiological signals have attracted immense interest in research circles. Lighting inside the automotive make us feel differently about our driving and how we feel or behave. From the literature, it is observed that ambient lighting makes an impact on the driving experience and it delivers an emotional atmosphere inside the automotive. Driving fatigue can be reduced if the lighting is controlled properly. These days, ambient interior lighting can be considered to be the point of fashion for high end automotive and also impact driver’s mood and comfort. There are different types of automotive based lighting automation systems available but emotion based control is in early or nascent stages of research. Speech controlled light control systems, control the light by the recognition of speech of the user and by using facial expressions lighting can be controlled. Facial/speech signals consist of both outward physical expression and the inborn emotions. These emotional signals thus exhibited vary from situation to situation and are mostly…
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Controlling LED Based Adaptive Front-Lighting System Using Machine Learning

Tata Elxsi, Ltd.-Sivaprasad Nandyala, Sriharsha Santhapur, Kshitij Kumar, Mithun Manalikandy
Published 2018-04-03 by SAE International in United States
Accidents in nights have a major share in all automotive accidents. Even though, the average distance driven in dark is 75% less as compared to the average distance driven during the day, the fatalities in nights due to road accidents are 300% of the day time. Again, the statistical studies from the National Safety Council disclose the fact that 55% of all road accidents in nights occur at the curved roads due to insufficient illumination and poor judgment of curves. The paper proposes a control algorithm with machine learning that controls LED matrix headlamp to provide precise beam pattern shaping and beam intensity (i.e. high and low beam). The system is designed to give the driver improved visibility under varying driving conditions. Adaptive Front Lighting System is an intelligent system, designed in MATLAB\Simulink environment that optimizes the illumination of roads during the night, on the basis of inputs from different sensors in the vehicle.
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A Novel Method for Estimation of State of Charge of Lithium-ion Battery using Extended Kalman Filter

Tata Elxsi, Ltd.-Padmanaban Dheenadhayalan, Anush Nair, Mithun Manalikandy, Anurag Reghu, Jacob John, V S Rani
Published 2015-04-14 by SAE International in United States
Hybrid and electric vehicles are becoming increasingly popular these days owing to concerns over exhaustion of conventional fuel sources, pollution from combustion, as well as high carbon foot print of these fuels. Lithium-ion batteries are widely preferred as the source of power for hybrid and electric vehicles because of their high monomer voltage and high energy density. Accurate estimation of the State of Charge (SoC) of battery is crucial in the electric vehicle. It provides the information on the range of operation of the vehicle. It also ensures the safety and reliability of the battery unit. Accurate State of Charge estimation also enables more optimized battery pack design for the electric vehicle. Conventional methods for State of Charge estimation such as Coulomb counting and Open Circuit Voltage (OCV) measurement suffer from inaccuracies and is affected by noise during the vehicle operation. This paper proposes a novel approach to accurately estimate State of Charge of Lithium-ion batteries based on Extended Kalman Filter. This method uses equivalent circuit of the Lithium-ion battery for the purpose of developing…
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