Vision-based vehicle detection and tracking algorithm design

Junyeon Hwang; Kunsoo Huh; Donghwi Lee

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Vision-based vehicle detection and tracking algorithm design

机译：Vision-based vehicle detection and tracking algorithm design

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摘要

The vision-based vehicle detection in front of an ego-vehicle is regarded as promising for driver assistance as well as for autonomous vehicle guidance. The feasibility of vehicle detection in a passenger car requires accurate and robust sensing performance. A multivehicle detection system based on stereo vision has been developed for better accuracy and robustness. This system utilizes morphological filter, feature detector, template matching, and epipolar constraint techniques in order to detect the corresponding pairs of vehicles. After the initial detection, the system executes the tracking algorithm for the vehicles. The proposed system can detect front vehicles such as the leading vehicle and side-lane vehicles. The position parameters of the vehicles located in front are obtained based on the detection information. The proposed vehicle detection system is implemented on a passenger car, and its performance is verified experimentally.

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来源
《Optical Engineering》 |2009年第12期|127201-1-127201-10|共10页
作者
Junyeon Hwang; Kunsoo Huh; Donghwi Lee;
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作者单位

Hanyang University, Department of Automotive Engineering, 17 Haengdang-Dong, Sungdong-Ku, Seoul 133-791 Korea;

Hanyang University, School of Mechanical Engineering, 17 Haengdang-Dong, Sungdong-Ku, Seoul 133-791 Korea;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种英语
中图分类计量学;
关键词
stereo vision; vehicle detection; vehicle tracking; multivehicle;

Vision-based vehicle detection and tracking algorithm design

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