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Pedestrian Collision Avoidance by Automatic Braking in Intersection Based on Potential Fields
FAST11/TS1-7-3-2

Authors

Ryosuke Matsumi, Pongsathorn Raksincharoensak and Masao Nagai - Tokyo University of Agriculture and Technology

Abstract

Pedestrian collision avoidance in urban environments is an important active safety technology to protect vulnerable road users and realize zero-traffic-accident society. This paper focuses on the intersection right turn driving situation which drivers need to negotiate pedestrians or bicycles near the crosswalk region. This paper describes an autonomous collision avoidance system by using electric braking torque control of electric vehicle. The intensity of braking maneuver is determined by the application of Potential Fields theory with considering occlusions in intersection . Finally, the effectiveness of the autonomous collision avoidance system is verified by the computer simulation.

Keywords: Autonomous Driving, Intersection, Collision Avoidance, Pedestrian, Situational Risk Assessment

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