3D Vision Sensing for Improved Pedestrian Safety
Date
2004
Authors
Grubb, Grant
Zelinsky, Alex
Nilsson, Lars
Rilbe, Magnus
Journal Title
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Publisher
Institute of Electrical and Electronics Engineers (IEEE Inc)
Abstract
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 pedestrian in 3D. Our system was implemented and tested on a Volvo test vehicle. Strong results for the system were obtained over a range of simple and complex environments, with average positive and false positive detection rates of 83.5% and 0.4% respectively.
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Keywords
Keywords: Automotive engineering; Highway accidents; Laser beam effects; Stereo vision; Tracking (position); Vision; Automotive applications; Pedestrian detection; Pedestrian protection systems (PPS); Pedestrian vehicle collisions; Pedestrian safety
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Source
Proceedings of the IEEE Intelligent Vehicles Symposium
Type
Conference paper
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Restricted until
2037-12-31
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