Vision-based 3D scene analysis for driver assistance

被引：0
|
作者：
Burschka, D [1 ]
Hager, GD [1 ]
机构：
[1] Johns Hopkins Univ, Computat Interact & Robot Lab, Baltimore, MD 21218 USA
来源：
2005 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), VOLS 1-4 | 2005年
关键词：
D O I：
暂无
中图分类号：
TP24 [机器人技术];
学科分类号：
080202 ; 1405 ;
摘要：
We present a vision-based system for traffic sign detection and ego-motion estimation in road scenarios. The system is capable of autonomous scene reconstruction and classification. It is used to pre-select candidate surfaces in the vicinity of the road that should be inspected more closely by a sign recognition system. We compare two approaches based on a binocular and a monocular camera system, respectively. We discuss their advantages and disadvantages for applications in driver assistance systems.
引用
收藏
页码：812 / 818
页数：7
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