Vision-based driving environment identification for autonomous highway vehicles
Yao-Jan Wu
Chun-Po Huang
Feng-Li Lian
Tang-Hsien Chang
Dept. of Civil Eng., Nat. Taiwan Univ., Taipei, Taiwan;
This paper appears in: Networking, Sensing and Control, 2004 IEEE International Conference on
Publication Date: 2004
Volume: 2,
On page(s): 1323- 1328 Vol.2
ISSN: 1810-7869
ISBN: 0-7803-8193-9
INSPEC Accession Number: 8096536
Digital Object Identifier: 10.1109/ICNSC.2004.1297139
Current Version Published: 2004-09-27
Abstract
In this paper, we propose an approach to identify the driving environment for autonomous highway vehicles by means of image processing and computer vision techniques. The proposed approach is mainly composed of two consecutive computational steps. The first step is the lane markings detection, used to identify the location of host vehicle and road geometry. The second one is the vehicle detection that can provide relative position and speed between host vehicle and each preceding vehicle. The proposed approach has been validated in several real-world scenes. Herein, the experimental results indicate low false alarm and low false dismissal and have demonstrated the robustness of the proposed detection approach.
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