Viewing 1 to 30 of 516
Technical Paper
Joshua L. Every, M. Kamel Salaani, Frank S. Barickman, Devin H. Elsasser, Dennis A. Guenther, Gary J. Heydinger, Sughosh J. Rao
Dynamic Brake Support (DBS) is a safety system that has been applied to various passenger cars and has been shown to be effective at assisting drivers in avoiding or mitigating rear-end collisions. The objective of a DBS system is to ensure that the brake system is applied quickly and at sufficient pressure when a driver responds to a collision imminent situation. DBS is capable of improving braking response due to a passenger car driver's tendency to utilize multi-stage braking. Interest is developing in using DBS on commercial vehicles. In order to evaluate the possible improvement in safety that could be realized through the use of DBS, driver braking behavior must first be analyzed to confirm that improvement is possible and necessary. To determine if this is the case, a study of the response of truck drivers' braking behavior in collision imminent situations is conducted. This paper presents the method of evaluation and results. Data was drawn from a prior NHTSA simulator study and showed that many drivers exhibited multi-stage braking during four different imminent crash scenarios.
The scope of this SAE Standard is the definition of the functional, environmental, and life cycle test requirements for electrically operated backup alarm devices primarily intended for use on off-road, self propelled work machines as defined by SAE J1116 (limited to categories of 1) construction, and 2) general purpose industrial). This purpose of this document is to define a set of performance requirements for backup alarms, independent of machine usage. The laboratory tests defined in this document are intended to provide a uniform and repeatable means of verifying whether or nor a test alarm meets the stated requirements. For on-machine requirements and test procedures, refer to SAE J 1446.
DuPont: from art to part DuPont's newly appointed global automotive technology director Jeffrey Sternberg, in conversation with Ian Adcock. Igniting the creative spark Ryan Gehm and Lindsay Brooke report on breakthrough technologies at the SAE Congress. Winning ways Ian Adcock exclusively reveals the newly formed Williams Advanced Engineering facility. Driverless future: steering a safe course Google unleashing 100 driverless, motorised pods on to the road has put the need for rigorous safety standards centre stage, as Ian Adcock reports
Active Safety & Advanced Driver Assistance Systems help prevent accidents or mitigate accident severity. Some of these safety systems provide alerts to the driver in critical situations, while others respond to threats by automatically braking and steering the vehicle to avoid crashes. This technical paper collection covers the latest technologies in active safety and driver assistance systems.
Technical Paper
Chi-Chun Yao, Jin-Yan Hsu, Yu-Sheng Liao, Ming Hung Li
Abstract Vehicle Rollover Prevention/Warning Systems have recently been an important topic in Advanced Driver Assistance Systems (ADAS) of automotive electronics field. This paper will propose a rollover-prevention system implementation with vehicle dynamic model, video-detection technique and rollover index to help the driver avoid accidents as driving into a curve. Due to the reason that vehicle rollover motion analysis needs complicated computation and accurate parameters of vehicle stability in real time, in the first stage a vehicle dynamic model based on Extended Kalman Filter (EKF) algorithm is built, which can estimate vehicle roll/yaw motion in the curve by vehicle sensors. And then the image-based technique will be employed in detecting the front road curvature, and combined in the system to predict vehicle steering status. The final stage is to apply the vehicle rollover index with estimated vehicle motion to predict the dangerous level to drivers for warning. In the system validation, a Digital Signal Processor (DSP) with Microcontroller Unit (MCU) hardware structure is equipped and implemented in our vehicle experimental platform.
Technical Paper
Stanley Chien, Qiang Yi, David Good, Ali Gholamjafari, Yaobin Chen, Rini Sherony
Abstract While the number of traffic fatalities as a whole continues to decline steadily over time, the number of pedestrian fatalities continues to rise (up 8% since 2009) and comprises a larger fraction of these fatalities. In 2011 there were 4,432 pedestrians killed and an estimated 69,000 pedestrian injuries [1]. A new generation of Pedestrian Pre-Collision Systems (PCS) is being introduced by car manufactures to mitigate pedestrian injuries and fatalities. In order to evaluate the performance of pedestrian PCS, The Transportation Active Safety Institute (TASI) at Indiana University-Purdue University Indianapolis is developing a set of test scenarios and procedures for evaluating the performance of pedestrian PCS with the support of the Collaborative Safety Research Center of Toyota. Pedestrian crashes are complex in that there are many aspects about location, driver behavior, and pedestrian behaviors that may have implications for the performance of the PCS. This complexity will generate far more scenarios than can be reasonably tested.
Technical Paper
Cheng-Lung Lee, Hongyi Zhang, Hong Nguyen, Yu-Ting Wu, Christopher Smalley, Utayba Mohammad, Mark J. Paulik
Abstract A novel multi-modal scene segmentation algorithm for obstacle identification and masking is presented in this work. A co-registered data set is generated from monocular camera and light detection and ranging (LIDAR) sensors. This calibrated data enables 3D scene information to be mapped to time-synchronized 2D camera images, where discontinuities in the ranging data indicate the increased likelihood of obstacle edges. Applications include Advanced Driver Assistance Systems (ADAS) which address lane-departure, pedestrian protection and collision avoidance and require both high-quality image segmentation and computational efficiency. Simulated and experimental results that demonstrate system performance are presented.
Technical Paper
David LeBlanc, Mark Gilbert, Stephen Stachowski, Rini Sherony
Pre-collision systems (PCS) use forward-looking sensors to detect the location and motion of vehicles ahead and provide a sequence of actions to help the driver either avoid striking the rear-end of another vehicle or mitigate the severity of the crash. The actions include driver alerts, amplification of driver braking as distance decreases (dynamic brake support, DBS), and automatic braking if the driver has not acted or has not acted sufficiently (crash imminent braking, CIB). Recent efforts by various organizations have sought to define PCS objective test procedures and test equipment in support of consumer information programs and potential certification. This paper presents results and insights from conducting DBS and CIB tests on two production vehicles sold in the US. Eleven scenarios are used to assess the systems' performance. The two systems' performance shows that commercial systems can be quite different. Also demonstrated is the experience with test equipment, including a towable target that has been designed for resiliency and radar signature, a braking robot, and bumper guard.
Technical Paper
Mengmeng Yu, Guanglin Ma
In this paper, we present a real-time 360 degree surround system with parking aid feature, which is a very convenient parking and blind spot aid system. In the proposed system, there are four fisheye cameras mounted around a vehicle to cover the whole surrounding area. After correcting the distortion of four fisheye images and registering all images on a planar surface, a flexible stitching method was developed to smooth the seam of adjacent images away to generate a high-quality result. In the post-process step, a unique brightness balance algorithm was proposed to compensate the exposure difference as the images are not captured with the same exposure condition. In addition, a unique parking guidance feature is applied on the surround view scene by utilizing steering wheel angle information as well as vehicle speed information.
Technical Paper
Lotta Jakobsson, Magdalena Lindman, Anders Axelson, Bengt Lokensgard, Mats Petersson, Bo Svanberg, Jordanka Kovaceva
Run off road events are frequent and can result in severe consequences. The reasons for leaving the road are numerous and the sequence the car is exerted to differs in most events. The objective of this study is to identify different situations and mechanisms both in respect to accident avoidance and occupant protection and to present test methods addressing the different identified mechanisms of run off road occupant safety. Mechanisms and influencing factors are identified using statistical and in-depth crash data as well as driving data. There are a number of reasons for leaving the road; driver fatigue, driver distraction and inadequate speed in relation to the traffic situation to mention a few. An outline of principle test methods for evaluating technology assisting the driver to stay on the road is presented in relation to the identified situations and mechanisms. Crash test methods for some typical run off road scenarios are suggested. Important occupant protection aspects concern mainly occupant retention as well as vertical loading through the seat.
Downsizing: the heat is off Ian Adcock discovers why a material developed in the nuclear industry could prove a real boon for OEMs as they look to downsize engines. Lightweight champions Could an alloy with the strength of steel, but as light as aluminium, prove to be a game changer for the automotive industry? Ian Adcock investigates. Road fatalities: eliminating the human factor In a new series on vehicle safety, Ian Adcock looks at the need for more driver intervention systems.
Lingxi Li, Yaobin Chen
Advances in Intelligent Vehicles presents recent advances in intelligent vehicle technologies that enhance the safety, reliability, and performance of vehicles and vehicular networks and systems. This book provides readers with up-to-date research results and cutting-edge technologies in the area of intelligent vehicles and transportation systems. Topics covered include virtual and staged testing scenarios, collision avoidance, human factors, and modeling techniques.
This title carries the papers developed for the 2013 Stapp Car Crash Conference, the premier forum for the presentation of research in impact biomechanics, human injury tolerance, and related fields, advancing the knowledge of land-vehicle crash injury protection. The conference provides an opportunity to participate in open discussion the causes and mechanisms of injury, experimental methods and tools for use in impact biomechanics research, and the development of new concepts for reducing injuries and fatalities in automobile crashes. The topics covered this year include: • Thoracic biomechanics • Neck injury biomechanics • Computational injury biomechanics • Biomechanical injury data analysis • Restraint and protective system injury assessment and evaluation • Development of future vehicle safety features
WIP Standard
The Road/Lane Departure Warning System is a crash-avoidance technology which warns drivers if they are drifting (or have drifted) out of their lane or from the road. This warning system is designed to help prevent the possibility of a run-off-road crash. This system will not take control of the vehicle; it will only let the driver know that he/she needs to steer back into the lane. This warning system is not designed as a lane-change monitor, or a merging system which warns of other vehicles. This informational report applies to OEM and after-market Road/Lane Departure warning systems for light-duty vehicles on relatively straight roads with a radius of curvature of 500m or more, and under good weather conditions. Future revisions should consider the implications of newer variations on the user experience.
Technical Paper
Alessandro Cezar Pinto, Cleber Willian Gomes, Daiane de Lima Dantas de Souza, Diogo Pereira da Silva, Geovanni Vezzaro Mattioli
From simple collisions to major tragedies, car accidents happen every day. Automobile industry has been investing a lot in security systems (e.g., airbags, ABS brakes, vehicle proximity warning systems). However, drivers are still the ones who have to act in order to avoid collisions, by using the brakes or maneuvering the car. The purpose of this project is to develop an anti-collision logic that can be used on automobile vehicles to avoid collisions with both static and moving objects by interfering on the vehicle behavior. The control system is based on a fuzzy modeled controller using the MATLAB and Simulink tools from Math Works. The prototype chosen to test the logic was the Robotino, a mobile robot system made by Festo Didactic, and used for educational, training and research purposes. Robotino is able to integrate to Simulink tool natively, and provides out-of-the-box sensors and actuators, so the developers are able to focus the efforts on the software itself. Integrated simulations were done using FESTO Robotino Simulator to validate whether the proposed system meets the objectives or not.
Technical Paper
John Woodrooffe, Daniel Blower, Carol A. C. Flannagan, Scott E. Bogard, Paul A. Green, Shan Bao
This paper explores the potential safety performance of “Future Generation” automated speed control crash avoidance systems for Commercial Vehicles. The technologies discussed in this paper include Adaptive Cruise Control (ACC), second and third generation Forward Collision Avoidance and Mitigation Systems (F-CAM) comprised of Forward Collision Warning (FCW) with Collision Mitigation Braking (CMB) technology as applied to heavy trucks, including single unit and tractor semitrailers. The research [1[ discussed in this paper is from a study conducted by UMTRI which estimated the safety benefits of current and future F-CAM systems and the comparative efficacy of adaptive cruise control. The future generation systems which are the focus of this paper were evaluated at two separate levels of product refinement, “second generation” and “third generation” systems. Second generation systems have the capability of reacting to fixed vehicles which were not moving prior to the engagement of the radar and include CMB nominal brake deceleration of 0.35g.
Technical Paper
John Woodrooffe, Daniel Blower, Carol A. C. Flannagan, Scott E. Bogard, Shan Bao
This paper focuses on the safety performance of Commercial Vehicle Forward Collision Avoidance and Mitigation Systems (F-CAM) that include Forward Collision Warning (FCW) with Collision Mitigation Braking (CMB) technology as applied to heavy trucks, including single unit and tractor semitrailers. The study estimated the safety benefits of a commercially available F-CAM system considered to be representative of products currently in service. The functional characteristics were evaluated and its performance generically modeled to estimate safety benefits. This was accomplished through the following steps: (1) first characterize the actual performance of these systems in various pre-crash scenarios under controlled test track conditions, and then reverse engineering the algorithms that control warnings and automatic braking actions; (2) developing a comprehensive set of simulated crash events representative of actual truck striking rear-end crashes. This virtual, “reference” crash database was developed by analyzing vehicle interactions (or conflicts) from naturalistic studies to create thousands of crashes in a computer simulation environment; (3) overlaying the F-CAM generic algorithms into the simulations of each crash event and observe the kinematic impacts (i.e., benefits) from having initiated warnings and/or automatic braking (including reduction in impact speed, or crash elimination of the crash).
WIP Standard
This document specifies the minimum recommendations for Blind Spot Monitoring System (BSMS) operational characteristics and elements of the user interface. A visual BSMS indicator is recommended. BSMS detects and conveys to the driver via a visual indicator the presence of a target (e.g., a vehicle), adjacent to the subject vehicle in the “traditional” Adjacent Blind Spot Zone (ABSZ). The BSMS is not intended to replace the need for interior and exterior rear-view mirrors or to reduce mirror size. BSMS is only intended as a supplement to these mirrors and will not take any automatic vehicle control action to prevent possible collisions. While the BSMS will assist drivers in detecting the presence of vehicles in their ABSZ, the absence of a visual indicator will not guarantee that the driver can safely make a lane change maneuver (e.g., vehicles may be approaching rapidly outside the ABSZ area). This document applies to original equipment and aftermarket BSMS systems for passenger vehicles.
Ronald K. Jurgen
Self-driving cars are no longer in the realm of science fiction, thanks to the integration of numerous automotive technologies that have matured over many years. Technologies such as adaptive cruise control, forward collision warning, lane departure warning, and V2V/V2I communications are being merged into one complex system. The papers in this compendium were carefully selected to bring the reader up to date on successful demonstrations of autonomous vehicles, ongoing projects, and what the future may hold for this technology. It is divided into three sections: overview, major design and test collaborations, and a sampling of autonomous vehicle research projects. The comprehensive overview paper covers the current state of autonomous vehicle research and development as well as obstacles to overcome and a possible roadmap for major new technology developments and collaborative relationships. The section on major design and test collaborations covers Sartre, DARPA contests, and the USDOT and the Crash Avoidance Metrics Partnership-Vehicle Safety Communications (CAMP-VSC2) Consortium.
Technical Paper
Yoshihiko Takahashi, Tetsuya Komoguchi, Masato Seki, Nimesh Patel, David Auner, Bruce Campbell
In recent years, a number of different Blind Spot Monitor (BSM) systems have become more and more popular in North American automotive market. The BSM system advises the driver of vehicles travelling in adjacent lanes when these vehicles are also in the driver's outside rearview mirror blind spots. Similarly, when the vehicle is backing up from a parking spot, cross-traffic vehicles can be in the driver's outside mirror blind spots. In this situation, the Rear Cross Traffic Alert (RCTA) system alerts the driver when the driver shifts the vehicle in the reverse gear and there are approaching cross-traffic vehicles. The benefits of RCTA system was presented by [1]. The RCTA alert studied in this paper is given by playing an audible sound and by flashing the outside mirror indicators. The RCTA and BSM systems share the same vehicle sensors and most of their vehicle components. The work presented in this paper researches a new method to properly identify the RCTA alert timing in North America where the rate of front-in parking is higher than other regions and the parking lots are larger than in other regions allowing for larger cross-traffic speeds (typically from 5mph to 18mph).
Technical Paper
Stefan Bernsteiner, Daniel Lindvai-Soos, Reinhard Holl, Arno Eichberger
Advanced Driver Assistance Systems (ADAS) for collision avoidance/mitigation have already demonstrated their benefit on vehicle safety. Often those systems have an additional functionality for comfort to assist the driver in non-critical driving. The verification of ADAS functionality using different test scenarios is currently investigated in many different projects worldwide. A harmonization of test scenarios and evaluation criteria is not yet accomplished. Often, these test scenarios focus on objective collision avoidance and not on the subjective interaction between driver and vehicle. The present study deals with the development of an experimental validation plan for the systems Automatic Cruise Control (ACC), Lane Departure Warning (LDW) and Lane Keeping Assist (LKA). Standardized driving maneuvers with two or more vehicles equipped with synchronized measurement are performed by professional test drivers. For this purpose selected public roads are used, and the different maneuvers are conducted avoiding critical situations.
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