Proceedings ArticleDOI
Development of rear-end collision avoidance system
Hideo Araki,Kenichi Yamada,Yasuhisa Hiroshima,Toshio Ito +3 more
- pp 224-229
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TLDR
The outline of RCAS is described, techniques about the preceding vehicle recognition and collision potential hazard evaluation are described and experimental results about distance headway warning and collision avoidance by automatic braking are reported.Abstract:
RCAS (rear-end collision avoidance system) has been developed as a system of ASV (advanced safety vehicle). It is a driver assist system to avoid the rear-end collision by informing the distance headway. It also has automatic braking function in case of emergency and distance warning function to the trailing vehicle. This paper describes the outline of RCAS, techniques about the preceding vehicle recognition and collision potential hazard evaluation. And experimental results about distance headway warning and collision avoidance by automatic braking are reported.read more
Citations
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Journal ArticleDOI
Alarm mistrust in automobiles: how collision alarm reliability affects driving
James P. Bliss,Sarah A. Acton +1 more
TL;DR: Alarm and automobile swerving reactions were significantly better when alarms were more reliable; however, drivers still failed to avoid collisions following reliable alarms, emphasizing that alarm designers should maximize alarm reliability while minimizing alarm invasiveness.
Proceedings ArticleDOI
A historical review on lateral and longitudinal control of autonomous vehicle motions
TL;DR: In this paper, a brief survey of literature on current developments in the field of lateral and longitudinal control of autonomous vehicle motions is presented, categorizing the motions of vehicle to: car following, lane keeping, lane changing, subsequently, longitudinal control (brake and throttle), lateral control (steering) and integration of these controls for autonomous vehicles was investigated.
Journal ArticleDOI
A Forward Collision Warning Algorithm With Adaptation to Driver Behaviors
TL;DR: This adaptive FCW algorithm overcomes the limit of traditional FCW with fixed risk evaluation models and fixed triggering thresholds by continuously monitoring driver braking behaviors in multiple lanes by using the recursive least squares method.
Journal ArticleDOI
A Personalizable Driver Steering Model Capable of Predicting Driver Behaviors in Vehicle Collision Avoidance Maneuvers
TL;DR: A combined driver model is presented that is able to not only identify different individual driver behaviors, but also predict a driver's behavior in rare vehicle maneuvers such as collision avoidance (CA) based on his/her daily driving data.
Journal ArticleDOI
Hierarchical Longitudinal Controller for Rear-End Collision Avoidance
TL;DR: A longitudinal controller using terminal sliding mode (TSM) with hierarchical structure is proposed for rear-end collision avoidance, which is employed to achieve convergence in finite time and to accommodate the intelligence of the driver to handle various situations.
References
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Proceedings ArticleDOI
Understanding driving situations using a network model
Toshio Ito,K. Yamada,K. Nishioka +2 more
TL;DR: This paper proposes the uniting processing technique which uses the network as a trial, classify the recognition system into some modules from the software point of view, link these modules as the network and make the states of the network correspond to the driving environment.
Proceedings ArticleDOI
Preceding vehicle and road lanes recognition methods for RCAS using vision system
Toshio Ito,K. Yamada +1 more
TL;DR: This paper describes the preceding vehicle and road lanes recognition methods for the rear-end collision avoidance system (RCAS) using an edge histogram method based on the model based vision concept and shows the performance of these methods by experimental results.
Proceedings ArticleDOI
Preceding Vehicle Recognition Algorithm Using Fusion Of Laser Radar And Image Processing
Toshio Ito,K. Yamada,K. Nishioka +2 more
TL;DR: A fusion system combining the properties of laser radar and image processing recognizes preceding vehicle positions and measures distance data using the laser radar, and improves certainty of the recognition results.