Browse Topic: Human Factors and Ergonomics

Items (19,857)
ABSTRACT BAE Systems Combat Simulation and Integration Labs (CSIL) are a culmination of more than 14 years of operational experience at our SIL facility in Santa Clara. The SIL provides primary integration and test functions over the entire life cycle of a combat vehicle’s development. The backbone of the SIL operation is the Simulation-Emulation-Stimulation (SES) process. The SES process has successfully supported BAE Systems US Combat Systems (USCS) SIL activities for many government vehicle development programs. The process enables SIL activities in vehicle design review, 3D virtual prototyping, human factor engineering, and system & subsystem integration and test. This paper describes how CSIL applies the models, software, and hardware components in a hardware-in-the-loop environment to support USCS combat vehicle development in the system integration lab
Lin, TCChang, KevinJohnson, ChristopherNaghshineh, KasraKwon, SungLi, Hsi Shang
ABSTRACT To support customers during product development, General Dynamics Land Systems (GDLS) utilizes a set of Operations Research/Decision Support processes and tools to facilitate all levels of decision-making aimed at achieving a balanced system design. GDLS employs a rigorous Structured Decision (SD) process that allows for large, highly complex or strategic decisions to be made at the system-of-systems, system, and/or subsystem level. Powerful, robust tools -the Advanced Collaborative System Optimization Modeler (ACSOM) and Logical Decisions for Windows (LDW) - are used to make relatively quick assessments and provide recommendations. The latest ACSOM algorithms have increased the response time for trade study analysis by over 2,000 times and future versions will incorporate logistics analysis helping to reduce vehicle Life Cycle Cost
Gerlach, JamesHartman, GregoryWilliams, DarrellParent, Jeffery
ABSTRACT This paper describes work to develop a hands-free, heads-up control system for Unmanned Ground Vehicles (UGVs) under an SBIR Phase I contract. Industry is building upon pioneering work that it has done in creating a speech recognition system that works well in noisy environments, by developing a robust key word spotting algorithm enabling UGV Operators to give speech commands to the UGV completely hands-free. Industry will also research and develop two sub-vocal control modes: whisper speech and teeth clicks. Industry is also developing a system that will enable the Operator to drive a UGV, with a high level of fidelity, to a location selected by the Operator using hands-free commands in conjunction with image segmentation and video overlays. This Phase I effort will culminate in a proof-of-concept demonstration of a hands-free, heads-up system, implemented on a small UGV, that will enable the Operator have a high level of fidelity for control of the system
Brown, JonathanGray, Jeremy P.Blanco, ChrisJuneja, AmitAlberts, JoelReinerman, Lauren
ABSTRACT Research is currently underway to improve controllability of high degree-of-freedom manipulators under a Phase II SBIR contract sponsored by the U.S. Army Tank Automotive Research, Development, and Engineering Center (TARDEC). As part of this program, the authors have created new control methods as well as adapting tool changing technology onto a dexterous arm to look at controllability of various manipulator functions. In this paper, the authors describe the work completed under this program and describe the findings of this work in terms of how these technologies can be used to extend the capabilities of existing and newly developed robotic manipulators
Peters, DouglasGunnett, KeithGray, Jeremy
ABSTRACT Military vehicle electrical power systems require quickly responding fault protection to prevent mission failure, vehicle damage, or personnel injury. The electromechanical contactors commonly used for HEV protection have slow response and limited cycle life, factors which could result in fuse activation and disabling of the vehicle, presenting a dangerous situation for the soldier. A protection technology not often considered is Solid State Circuit Breakers (SSCB), which have fast response and good reliability. Challenges of extremely high currents and voltages, high temperatures, and harsh conditions have prevented SSCBs from being effective in high power military vehicle electrical systems. Development of an SSCB for military vehicle power systems would increase electrical power system capacity and expand mission capability. The development of a 1.2 kV/200A Silicon-Carbide MOSFET based SSCB for combat HEVs is presented. The key innovation is packaging that minimizes losses
Pilvelait, BruceGold, CalmanMarcel, Mike
ABSTRACT The concept of handheld control systems with modular and/or integrated display provides the flexibility of operator use that supports the needs of today’s warfighters. A human machine interface control system that easily integrates with vehicle systems through common architecture and can transition to support dismounted operations provides warfighters with functional mobility they do not have today. With Size, Weight and Power along with reliability, maintainability and availability driving the needs of most platforms for both upgrade and development, moving to convertible (mounted to handheld) and transferrable control systems supports these needs as well as the need for the warfighter to maintain continuous control and command connectivity in uncertain mission conditions
Roy, Monica V.
ABSTRACT As the number of robotic systems on the battlefield increases, the number of operators grows with it, leading to significant cost burden. Autonomous robots are already capable of task execution with limited supervision, and the capabilities of autonomous robots continue to advance rapidly. Because these autonomous systems have the ability to assist and augment human soldiers, commanders need advanced methods for assigning tasks to the systems, monitoring their status and using them to achieve desirable results. Mission Command for Autonomous Systems (MCAS) aims to enable natural interaction between commanders and their autonomous assets without requiring dedicated operators or significantly increasing the commanders’ cognitive burden. This paper discusses the approach, design and challenges of MCAS and present opportunities for future collaboration with industry and academia
Martin, JeremyKorfiatis, PeterSilva, Udam
ABSTRACT The concept of handheld control systems with modular and/or integrated display provides the flexibility of operator use that supports the needs of today’s warfighters. A human machine interface control system that easily integrates with vehicle systems through common architecture and can transition to support dismounted operations provides warfighters with functional mobility they do not have today. With Size, Weight and Power along with reliability, maintainability and availability driving the needs of most platforms for both upgrade and development, moving to convertible (mounted to handheld) and transferrable control systems supports these needs as well as the need for the warfighter to maintain continuous control and command connectivity in uncertain mission conditions
Roy, Monica V.
ABSTRACT The goal of the human factors engineer is to work within the systems engineering process to ensure that a Crew Centric Design approach is utilized throughout system design, development, fielding, sustainment, and retirement. To evaluate the human interface, human factors engineers must often start with a low fidelity mockup, or virtual model, of the intended design until a higher fidelity physical representation or the working hardware is available. Testing the Warrior-Machine Interface needs to begin early and continue throughout the Crew Centric Design process to ensure optimal soldier performance. This paper describes a Four Step Process to achieve this goal and how it has been applied to the ground combat vehicle programs. Using these four steps in the ground combat vehicle design process improved design decisions by including the user throughout the process either in virtual or real form, and applying the user’s operational requirements to drive the design
Vala, MarilynNavarre, RussellKempf, PeterSmist, Thomas
ABSTRACT Maintenance of local security is essential for the lethality and survivability in modern urban conflicts. Among solutions the Army is developing is an indirect-vision display (IVD) based sensor system supporting full-spectrum, 360°local area awareness. Unfortunately, such display solutions only address part of the challenge, with remaining issues spawned by the properties of human perceptual-cognitive function. The current study examined the influence of threat properties (e.g. threat type, distance, etc.) on detection performance while participants conducted a patrol through a simulated urban area. Participants scanned a virtual environment comprised of static and dynamic entities and reported those that were deemed potential threats. Results showed that the most influential variables were the characteristics of the targets; threats that appeared far away, behind the vehicle, and for short periods of time were most likely missed. Thus, if an IVD system is to be effective, it
Metcalfe, Jason S.Cosenzo, Keryl A.Johnson, TonyBrumm, BradleyManteuffel, ChristopherEvans, A. WilliamTierney, Terrance
ABSTRACT Autonomous robots can maneuver into dangerous situations without endangering Soldiers. The Soldier tasked with the supervision of a route clearing robot vehicle must be located beyond the physical effect of an exploding IED but close enough to understand the environment in which the robot is operating. Additionally, mission duration requirements discourage the use of low level, fatigue inducing, teleoperation. Techniques are needed to reduce the Soldier’s mental stress in this demanding situation, as well as to blend the high level reasoning of a remote human supervisor with the local autonomous capability of a robot to provide effective, long term mission performance. GDRS has developed an advanced supervised autonomy version of its Robotics Kit (GDRK) under the Robotic Mounted Detection System (RMDS) program that provides a cost effective, high-utility automation solution that overcomes the limitations and burden of a purely teleoperated system. GDRK is a modular robotic
Frederick, BrianRodgers, DanielMartin, JohnHutchison, John
ABSTRACT The United States military stands to greatly benefit from perpetual advances in vehicle-borne 360-degree Situational Awareness (SA) systems. However, in recent years, a gap has emerged that hinders development of vehicle-borne 360 SA. At a fundamental level, military ground vehicle designers require unambiguous requirements to build effective 360-degree SA systems; and, critical decision-makers must define requirements that offer substantial operational value. To ensure that 360-degree SA systems effectively address Warfighter requirements, the military ground vehicle research and development communities must better understand vehicle-borne 360 SA evaluation parameters and their relevance to current military operations. This paper will therefore describe a set of evaluation parameters across five broad categories that are vital to effective 360-degree SA: namely, vehicle-mounted visual sensors, data transmission systems, in-vehicle displays, intelligent cuing technologies, and
Mikulski, ThomasBerman, David
ABSTRACT This presentation will review the ongoing lessons learned from a joint Industry/DoD collaborative program to explore this area over the past 5 years. The discussion will review the effectiveness of integrating multiple new technologies (combined with select COTS elements) to provide a complete solution designed to reduce spares stockpiles, maximize available manpower, reduce maintenance downtime and reduce vehicle lifecycle costs. A number of new and emerging technology case studies involving diagnostic sensors (such as battery health monitors), knowledge management data accessibility, remote support-based Telematics, secure communication, condition-based software algorithms, browser-based user interfaces and web portal data delivery will be presented
Fortson, RickJohnson, Ken
ABSTRACT Over the last several years all branches of the United States military have experienced an increased number of orthopedic and internal injuries to knees lower back, neck, and digestive system. Additionally the level of severity has also been increasing. Primary cause factors contributing to the overall increase in injuries to US military personnel include the increase in overall individual loads being carried by the individual soldier which at times can approach 150 pounds, higher operations tempo which results in greater exposure to higher levels of impact forces and for a greater duration. The greater impact forces are a result of the poor design of the current bench deployed on United States tactical vehicles, and the brutal nature of the third world transportation networks in Afghanistan and Iraq. This paper documents the engineering approach utilized by AOM Engineering Solutions to achieve the following primary design objectives; improved ergonomic design for injury
Micheli, JohnDonovan, LTC Ken
ABSTRACT In this paper, we discuss a neuroimaging experiment that employed a mission-based scenario (MBS) design, a new approach for designing experiments in simulated environments for human subjects [1]. This approach aims to enhance the realism of the Soldier-task-environment interaction by eliminating many of the tightly-scripted elements of a typical laboratory experiment; however, the absence of these elements introduces several challenges for both the experimental design and statistical analysis of the experimental data. Here, we describe an MBS experiment using a simulated, closed-hatch crewstation environment. For each experimental session, two Soldiers participated as a Commander-Driver team to perform six simulated low-threat security patrol missions. We discuss challenges faced while designing and implementing the experiment before addressing analysis approaches appropriate for this type of experimentation. We conclude by highlighting three example transition pathways from
Vettel, Jean M.Lance, Brent J.Manteuffel, ChrisJaswa, MatthewCannon, MarcelJohnson, TonyPaul, VictorOie, Kelvin S.
ABSTRACT One of the main thrusts in current Army Science & Technology (S&T) activities is the development of occupant-centric vehicle structures that make the operation of the vehicle both comfortable and safe for the soldiers. Furthermore, a lighter weight vehicle structure is an enabling factor for faster transport, higher mobility, greater fuel conservation, higher payload, and a reduced ground footprint of supporting forces. Therefore, a key design challenge is to develop lightweight occupant-centric vehicle structures that can provide high levels of protection against explosive threats. In this paper, concepts for using materials, damping and other mechanisms to design structures with unique dynamic characteristics for mitigating blast loads are investigated. The Dynamic Response Index (DRI) metric [1] is employed as an occupant injury measure for determining the effectiveness of the each blast mitigation configuration that is considered. A model of the TARDEC Generic V-Hull
Jiang, WeiranVlahopoulos, NickolasCastanier, Matthew P.Thyagarajan, RaviMohammad, Syed
ABSTRACT The use and operation of unmanned systems are becoming more commonplace and as missions gain complexity, our warfighters are demanding increasing levels of system functionality. At the same time, decision making is becoming increasingly data driven and operators must process large amounts of data while also controlling unmanned assets. Factors impacting robotic/unmanned asset control include mission task complexity, line-of-sight/non-line-of-sight operations, simultaneous UxV control, and communication bandwidth availability. It is critical that any unmanned system requiring human interaction, is designed as a “human-in-the-loop” system from the beginning to ensure that operator cognitive load is minimized and operator effectiveness is optimized. Best practice human factors engineering in the form of human machine interfaces and user-centered design for robotic/unmanned control systems integrated early in platform concept and design phases can significantly impact platform
MacDonald, Brian
ABSTRACT Recent advances in neuroscience, signal processing, machine learning, and related technologies have made it possible to reliably detect brain signatures specific to visual target recognition in real time. Utilizing these technologies together has shown an increase in the speed and accuracy of visual target identification over traditional visual scanning techniques. Images containing a target of interest elicit a unique neural signature in the brain (e.g. P300 event-related potential) when detected by the human observer. Computer vision exploits the P300-based signal to identify specific features in the target image that are different from other non-target images. Coupling the brain and computer in this way along with using rapid serial visual presentation (RSVP) of the images enables large image datasets to be accurately interrogated in a short amount of time. Together this technology allows for potential military applications ranging from image triaging for the image analyst
Ries, Anthony J.Lance, BrentSajda, Paul
Abstract On the Mobile Detection Assessment Response System (MDARS) production program, General Dynamics Robotics Systems (GDRS) and International Logistics Systems (ILS), are working with the US Army’s Product Manager – Force Protection Systems (PM-FPS) to reduce system costs throughout the production lifecycle. Under this process, GDRS works through an Engineering Change Proposal (ECP) process to improve the reliability and maintainability of subsystem designs with the goal of making the entire system more producible at a lower cost. In addition, GDRS recommends substitutions of Government requirements that are cost drivers with those that reduce cost impact but do not result in reduced capability for the end user. This paper describes the production lifecycle process for the MDARS system and recommends future considerations for fielding of complex autonomous robotic systems
Frederick, BrianVirtz, PaulGrinnell, Michal
In recent years, battery electric vehicles (BEVs) have experienced significant sales growth, marked by advancements in features and market delivery. This evolution intersects with innovative software-defined vehicles, which have transformed automotive supply chains, introducing new BEV brands from both emerging and mature markets. The critical role of software in software-defined battery electric vehicles (SD-BEVs) is pivotal for enhancing user experience and ensuring adherence to rigorous safety, performance, and quality standards. Effective governance and management are crucial, as failures can mar corporate reputations and jeopardize safety-critical systems like advanced driver assistance systems. Product Governance and Management for Software-defined Battery Electric Vehicles addresses the complexities of SD-BEV product governance and management to facilitate safer vehicle deployments. By exploring these challenges, it aims to enhance internal processes and foster cross
Abdul Hamid, Umar Zakir
Road safety remains a critical concern globally, with millions of lives lost annually due to road accidents. In India alone, the year 2021 witnessed over 4,12,432 road accidents resulting in 1,53,972 fatalities and 3,84,448 injuries. The age group most affected by these accidents is 18-45 years, constituting approximately 67% of total deaths. Factors such as speeding, distracted driving, and neglect to use safety gear increases the severity of these incidents. This paper presents a novel approach to address these challenges by introducing a driver safety system aimed at promoting good driving etiquette and mitigating distractions and fatigue. Leveraging Raspberry Pi and computer vision techniques, the system monitors driver behavior in real-time, including head position, eye blinks, mouth opening and closing, hand position, and internal audio levels to detect signs of distraction and drowsiness. The system operates in both passive and active modes, providing alerts and alarms to the
Ganesh, KattaPrasad, Gvl
The integration of Vehicle-to-Everything (V2X) communication technologies holds immense potential to revolutionize the automotive industry by enabling vehicles to communicate with each other (V2V) and with infrastructure (V2I). This paper investigates the feasibility of V2X and V2I communication, exploring available communication methods for vehicles to communicate. Many a times people like to travel together and it involves more than one vehicle travelling together, in such cases they often get lost the information about fellow vehicles due to the traffic condition and different driving behaviors of the individual driver. In such cases they communicate over phones to get to know the location of fellow vehicle or keep sharing their live locations. In such cases they don’t just follow the destination in maps also they should be continuously monitoring their fellow vehicles position. It is important for vehicles travelling in group to have communication and be connected so that they know
Barre, Deva Harshitha
Airflow directionality in a vehicle cabin is one of the concerns of car owners, researchers, and vehicle manufacturers. After exposed/parked in hot ambient condition for a long time, HVAC system normally takes few minutes to cool down and reach an acceptable cabin temperature for the passenger comfort. To ensure proper airflow distribution inside the cabin, the AC duct & vanes ability to direct airflow must be evaluated. Objective of this work is to propose a methodology for developing the vane design of AC system duct using CFD approach. Two different goals are attempted. Firstly, the effect of horizontal and vertical vane angle on airflow directionality is investigated with DoE approach. Then factors influencing the airflow directionality are investigated using factorial study approach. CFD based factorial analysis (L9 orthogonal array) was conducted using three components at three levels. The impact of number of horizontal vanes, number of vertical vanes and distance between them on
Mahesh, ABaskar, SubramaniyanRaju, KumarGopinathan, Nagarajan
The advancements towards autonomous driving have propelled the need for reference/ground truth data for development and validation of various functionalities. Traditional data labelling methods are time consuming, skills intensive and have many drawbacks. These challenges are addressed through ALiVA (automatic lidar, image & video annotator), a semi-automated framework assisting for event detection and generation of reference data through annotation/labelling of video & point-cloud data. ALiVA is capable of processing large volumes of camera & lidar sensor data. Main pillars of framework are object detection-classification models, object tracking algorithms, cognitive algorithms and annotation results review functionality. Automatic object detection functionality creates a precise bounding box around the area of interest and assigns class labels to annotated objects. Object tracking algorithms tracks detected objects in video frames, provides a unique object id for each object and
Mardhekar, AmoghPawar, RushikeshMohod, RuchaShirudkar, RohitHivarkar, Umesh N.
Forward-facing child restraint systems (FF CRS) and high-back boosters often contact the vehicle seat head restraint (HR) when installed, creating a gap between the back surface of the CRS and the vehicle seat. The effects of HR interference on dynamic CRS performance are not well documented. The objective of this study is to quantify the effects of HR interference for FF CRS and high-back boosters in frontal and far-side impacts. Production vehicle seats with prominent, removeable HRs were attached to a sled buck. One FF CRS and two booster models were tested with the HR in place (causing interference) and with the HR removed (no interference). A variety of installation methods were examined for the FF CRS. A total of twenty-four tests were run. In frontal impacts, HR interference produced small but consistent increases in frontal head excursion and HIC36. Head excursions were more directly related to the more forward initial position rather than kinematic differences caused by HR
Mansfield, Julie A.
Three dynamic models of a passenger car including the one-dimensional dynamic model, two-dimensional dynamic model, and three-dimensional dynamic model are built to evaluate the ride quality of the passenger car as well as the isolating performance of the SNS (structure of negative stiffness). The decrease of the root-mean-square (RMS) accelerations in the seat and car’s body shaking is the research goal. The investigation results indicate that under all working conditions including the various excitations of the road surface and various velocities of the passenger car, the seat’s acceleration with SNS is strongly ameliorated in comparison without SNS in all three models of the passenger car. Particularly, the RMS seat acceleration with SNS in one-, two-, and three-dimensional models is strongly reduced in comparison without SNS by 76.87%, 66.15%, and 70.59%, respectively. Thus, the seat’s SNS has a good effect in isolating the vertical vibration of the passenger car’s seat. However
Zhang, LeiLi, TaoYang, Guixing
Transportation contributes 27% of the greenhouse gas emissions in the US. Governments worldwide are developing new programs to hasten the adoption of electric vehicles (EVs) in the transition to zero-emission vehicles. However, the success of EV adoption generally depends on user preferences. This study explores what we can find out about consumer preferences while accounting for unobserved heterogeneity. Consumer choices for EVs, including plug-in EVs (PEVs) and fuel-cell EVs (FCEVs), are analyzed using the California Vehicle Survey (2019) data. Several factors are examined, including the availability of clean source energy (installed solar panels) at home, preferable location for recharging PEVs, past driving experience with EVs, availability of public charging infrastructure, and sociodemographic factors. A mixed multinomial (random parameter) logit model is estimated, exploring the associations between the selected variables and EV consumer preferences while accounting for
Moradloo, NastaranMahdinia, ImanKhattak, Asad
In recent times, indoor air quality has become an important concern as it affects people’s health and comfort. According to WHO report, air pollution causes 7 million deaths every year. PM2.5 has been identified as a key pollutant which impacts human health causing diseases like stroke, heart diseases, breathing issues, cancer and so on [1]. In today's time, we travel by personal vehicle every day, commuting for hours. It is an extension to our homes. Unfortunately, due to frequent door and windows opening, the cabin air gets exposed to outside pollution, and we end up breathing pollutants. To mitigate the problem, air purifiers are added in the automobile. As people are becoming more aware and conscious about good air quality, there is a growing demand for cabin interior air quality solutions for automobiles. A popular approach is to add an air purifier inside cars like ones being used in our homes to bring down the PM2.5 levels. The air purifier consists of a filter, blower system
Pimpalkar, AnkitPatel, AbhishekSonkar, SurabhiRajaur, DeepakJoshi, Rishi
Today, almost all passenger vehicles are equipped with Mobile Air Conditioning (MAC) systems to provide thermal comfort to occupants. To enhance cabin cooling down rate, two approaches are possible viz. increasing the MAC system capacity or reducing heat ingress into the vehicle cabin. The first approach is likely to have a negative impact on energy efficiency. The latter approach considers the deployment of alternate passive cabin cooling technologies. Among these, the deployment of uniquely developed coatings on metal, plastic and glass surfaces of the cabin is one option. The assessment of such coatings is usually done only at severe ambient conditions (>40°C), which may not be sufficient. These coatings need to be validated across all climatic seasons of the year, for assessing their effectiveness on passenger thermal comfort. The current work along with simulation studies, takes into account additional parameters such as the ‘feeling of hotness’ when one enters a hot-soaked cabin
Deshmukh, GaneshKulkarni, Shridhar DilipraoVarma, MohitJaybhay, SambhajiKapoor, SangeetTilekar, Pravin
Since signing the legally binding Paris agreement, fighting climate change has been an increasingly important task worldwide. One of the key energy sectors to emit greenhouse gases is transportation. Therefore, long term strategies all over the world have been set up to reduce on-road combustion emissions. One of the emerging alternative technologies to decarbonize the transportation sector is Mobile Carbon Capture (MCC). MCC refers to the on-board separation of CO2 from vehicle exhaust. To accurately assess this technology, a techno-economic analysis is essential to compare MCC abatement cost to alternative decarbonization technologies such as electric trucks. Adding to the system capital and operational costs, our study includes mass penalty costs, CO2 offloading and transport costs for different transport scenarios. To better relate to a single consumer (driver), the cost can be converted from euro per-tCO2 to euro per-trip or euro per-mile. A sensitivity analysis is then conducted
SAAFI, Mohamed AliHamad, Esam
Most military wheeled vehicles operate with a simplistic table-based transmission shift strategy. However, Allison Transmission Inc has created an innovative algorithm-based transmission shift strategy known as FuelSense®2.0 with DynActive® Shifting which optimizes gear selection by accounting for driver demand and vehicle load. This method of shifting has the potential to significantly improve fuel economy while only minimally degrading vehicle performance. In this study, FuelSense®2.0 with DynActive® Shifting was evaluated across three platforms which included the Family of Medium Tactical Vehicles (FMTV), and the Heavy Tactical Vehicles (HTV) Heavy Expanded Mobility Tactical Truck (HEMTT) and Palletized Loading System (PLS). The trucks were drive-cycle tested using both an environmentally controlled dynamometer laboratory and a real-world proving ground user trial
Zielinski, StevenBeiter, StevenMach, Newly
Recent years have demonstrated the fragility of both military and nonmilitary supply chains. Through biotechnology and biomanufacturing, the Department of Defense (DoD) can use readily available feedstocks to onshore manufacturing of chemicals and materials critical to defense needs and to create advanced materials with enhanced capabilities. Development of DoD’s biotechnology and biomanufacturing capabilities will help secure the defense supply chain and contribute to a force that is sustainable, resilient, survivable, agile, and responsive. To accelerate the advancement of biotechnology and biomanufactured products, the Department launched the Tri-Service Biotechnology for a Resilient Supply Chain (T-BRSC) program in Fiscal Year 2022. T-BRSC is creating a pipeline for advanced development and transition of biomanufactured materials to support defense supply chain resilience. The effort brings together Joint Service partners to leverage significant advances made over the last decade
Wolfson, Benjamin R.Knott, Steve K.Maul, Steve J.Pietsch, Hollie A.Podolan, Kyle S.Thomas, Nick H.Hung, Chia-SueiGupta, Maneesh K.Kelley-Loughnane, NancyMalanoski, Anthony P.Glaven, Sarah M.Gibbons, Henry S.
Crew Station design in the physical realm is complex and expensive due to the cost of fabrication and the time required to reconfigure necessary hardware to conduct studies for human factors and optimization of space claim. However, recent advances in Virtual Reality (VR) and hand tracking technologies have enabled a paradigm shift to the process. The Ground Vehicle System Center has developed an innovative approach using VR technologies to enable a trade space exploration capability which provides crews the ability to place touchscreens and switch panels as desired, then lock them into place to perform a fully recorded simulation of operating the vehicle through a virtual terrain, maneuvering through firing points and engaging moving and static targets during virtual night and day missions with simulated sensor effects for infrared and night vision. Human factors are explored and studied using hand tracking which enables operators to check reach by interacting with virtual components
Agusti, Rachel S.Brown, DavidKovacin, KyleSmith, AaronHackenbruch, Rachel N.Hess, DavidSimmons, Caleb B.Stewart, Colin
In order to meet the driving characteristics and needs of different types of drivers and to improve driving comfort and safety, this article designs personalized variable transmission ratio schemes based on the classification results of drivers’ steering characteristics and proposes a switching strategy for selecting variable transmission ratio schemes in response to changes in driver types. First, data collected from driving simulator experiments are used to classify drivers into three categories using the fuzzy C-means clustering algorithm, and the steering characteristics of each category are analyzed. Subsequently, based on the steering characteristics of each type of driver, suitable speed ranges, steering wheel travel, and yaw rate gain values are selected to design the variable transmission ratio, forming personalized variable transmission ratio schemes. Then, a switching strategy for variable transmission ratio schemes is designed, using a support vector machine to build a
Chen, ChenZheng, HongyuZong, Changfu
Vibration comfort is a critical factor in assessing the overall performance of engineering machinery, with significant implications for operator health and safety. However, current evaluation methods lack specificity for construction machinery, impeding accurate prediction of vibration comfort and hindering the optimization of noise, vibration, and harshness (NVH) performance. To address this challenge, this article proposes a model that combines a random forest with a genetic algorithm (GA-RF) to enable rapid and accurate prediction of vibration comfort in construction machinery cabins. The approach begins with an improved objective evaluation methodology for extracting key features from vibration signals at five measurement points: seat, floor, back, and left and right armrests. Additionally, subjective evaluation technology, combining semantic differential and rating scales, is employed to capture operators’ personal comfort perceptions. The implementation of the GA-RF model
Zhao, JianYin, YingqiChen, JiangfeiZhao, WeidongDing, WeipingHuang, Haibo
India is a diverse country in terms of road conditions, road maintenance, traffic conditions, traffic density, quality of traffic which implies presence of agricultural tractors, bullock carts, autos, motor bikes, oncoming traffic in same lane, vulnerable road users (VRU) walking in the same lanes as vehicles, VRU’s crossing roads without using zebra crossings etc. as additional traffic quality deterrents in comparison to developed countries. The braking capacity of such vivid road users may not be at par with global standards due to their maintenance, loading beyond specifications, driver behavior which includes the tendency to maintain a close gap between the preceding vehicle etc. which may lead to incidents specifically of rear collisions due to the front vehicle going through an emergency braking event. The following paper provides a comprehensive study of the special considerations or intricacies in implementation of Autonomous Emergency Braking (AEBS) feature into Indian traffic
Kartheek, NedunuriKhare, RashmitaSathyamurthy, SainathanManickam, PraveenkumarKuchipudi, Venkata Sai Pavan
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