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

页码：19 / 24

页数：6

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