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Optical Engineering

Vision-based vehicle detection and tracking algorithm design
Author(s): Junyeon Hwang; Kunsoo Huh; Donghwi Lee
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Paper Abstract

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.

Paper Details

Date Published: 1 December 2009
PDF: 10 pages
Opt. Eng. 48(12) 127201 doi: 10.1117/1.3269685
Published in: Optical Engineering Volume 48, Issue 12
Show Author Affiliations
Junyeon Hwang
Kunsoo Huh, Hanyang Univ. (Korea, Republic of)
Donghwi Lee, Hanyang Univ. (Korea, Republic of)

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