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Proceedings ArticleDOI

Rear-End Collision Velocity Reduction System

Kenji Kodaka, +3 more
- 03 Mar 2003 - 
- Vol. 112, Iss: 6, pp 502-510
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TLDR
In this article, a system was developed that is effective in reducing the collision velocity during rear-end collisions by making up for driver delays in recognition, judgment and operation by means of brake control and external sensing technology using millmeter wave radar sensor.
Abstract
Japan has a higher rate of rear-end collisions than any other kind of traffic accident and the causes of rear-end collisions were investigated. Accident statistics were used to conduct a statistical traffic accident analysis while a questionnaire was used to conduct a detailed traffic accident analysis and simulation was then used to perform traffic accident analysis. The results of the traffic accident analysis suggested that many of these accidents were caused by lack of attention during daily driving. Research was conducted to determine what kind of collision avoidance systems would be effective. A system was developed that is effective in reducing the collision velocity during rear-end collisions by making up for driver delays in recognition, judgment and operation by means of brake control and external sensing technology using millmeter wave radar sensor. This paper will discuss the testing and development of this new system.

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Citations
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Three Decades of Driver Assistance Systems: Review and Future Perspectives

TL;DR: This contribution provides a review of fundamental goals, development and future perspectives of driver assistance systems, and examines the progress incented by the use of exteroceptive sensors such as radar, video, or lidar in automated driving in urban traffic and in cooperative driving.
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Progress and future direction of Chassis control technology

TL;DR: In this paper, the authors focus on the future tasks and direction of Chassis control technologies that mainly control cornering performance including 4WS, with three generations of chassis control system development.
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Take-over performance in evasive manoeuvres.

TL;DR: After effects of automation in take-over scenarios in a high-end moving-base driving simulator investigated, effects of cognitive distraction were similar to visual distraction for the intervention time with effects on the surrogate safety metric TTC being larger with visual distraction.
Proceedings ArticleDOI

Towards a human-like vision system for Driver Assistance

TL;DR: This work presents the first instantiation of a vision architecture for driver assistance systems inspired by the human visual system that is based on task-dependent perception, a state of the art attention system integrating bottom-up and top-down visual saliency.
References
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Journal Article

Break reaction times of unalerted drivers

TL;DR: In this paper, the authors discussed the statistical distribution of driver reaction times, and the results of four published investigations are analyzed and their parametric values are tabulated, and a fitting of the lognormal model to experimental data is described.
Journal ArticleDOI

Braking Response Times for 100 Drivers in the Avoidance of an Unexpected Obstacle as Measured in a Driving Simulator

TL;DR: In this article, the authors examined the effect of brake and accelerator pedal configuration on braking response time to an unexpected obstacle in the DRI Interactive Driving Simulator and found that there was no significant effect of pedal configuration.
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