3D vision sensing for improved pedestrian safety

被引：0
|
作者：
Grubb, G [1 ]
Zelinsky, A [1 ]
Nilsson, L [1 ]
Rilbe, M [1 ]
机构：
[1] Australian Natl Univ, RSISE, Canberra, ACT 0200, Australia
来源：
2004 IEEE INTELLIGENT VEHICLES SYMPOSIUM | 2004年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：19 / 24
页数：6
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