The Proceedings of the Symposium on the Motion and Vibration Control
Online ISSN : 2424-3000
2013.13
Session ID : B16
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B16 Study on Driving Intelligence Model of Autonomous Vehicle Based on Risk Potential Estimation
Ryosuke MATSUMIRAKSINCHAROENSAK PongsathornMasao NAGAI
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Abstract
Pedestrian collision avoidance in urban environments is an important active safety technology to protect vulnerable road users and realize zero-traffic-accident society. Especially, reduction of vehicle-pedestrian collision accidents by using active vehicle control technology is a promising approach. This paper focuses on the driving situation which drivers need to negotiate pedestrians. This paper describes an autonomous pedestrian collision avoidance system by automatic braking. The intensity of braking maneuver is determined by the application of Potential Fields theory with considering occlusions. Finally, the effectiveness of the autonomous collision avoidance system is verified by computer simulation which employs driving scenario from a near-miss incident database.
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© 2013 The Japan Society of Mechanical Engineers
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