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Machine Vision, Pattern Recognition

Vision-based vehicle detection and tracking algorithm design

[+] Author Affiliations
Junyeon Hwang

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

Kunsoo Huh

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

Donghwi Lee

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

Opt. Eng. 48(12), 127201 (December 11, 2009). doi:10.1117/1.3269685
History: Received June 11, 2009; Revised September 16, 2009; Accepted October 08, 2009; Published December 11, 2009; Online December 11, 2009
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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.

© 2009 Society of Photo-Optical Instrumentation Engineers

Citation

Junyeon Hwang ; Kunsoo Huh and Donghwi Lee
"Vision-based vehicle detection and tracking algorithm design", Opt. Eng. 48(12), 127201 (December 11, 2009). ; http://dx.doi.org/10.1117/1.3269685


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