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3D Vision Sensing for Improved Pedestrian Safety

Grubb, Grant; Zelinsky, Alex; Nilsson, Lars; Rilbe, Magnus


Pedestrian-vehicle accidents account for the second largest source of automotive related fatality and injury worldwide. This paper presents a system which detects and tracks pedestrians in realtime for use with automotive Pedestrian Protection Systems (PPS) aimed at reducing such pedestrian-vehicle related injury. The system is based on a passive stereo vision configuration which segments a scene into 3D objects, classifies each object as pedestrian/non-pedestrian and finally tracks the...[Show more]

CollectionsANU Research Publications
Date published: 2004
Type: Conference paper
Source: Proceedings of the IEEE Intelligent Vehicles Symposium


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