Detection of lateral and longitudinal distances for driver assistant system

In this paper, a new approach to lane and obstacle detection is proposed, using reconstruction of 3D road surface. Based on it, a new method for detecting lateral and longitudinal distances of vehicle is developed. A fast reconstruction of 3D road surface, adaptive modification of parameters, from a...

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Published inIEEE APCCAS 2000. 2000 IEEE Asia-Pacific Conference on Circuits and Systems. Electronic Communication Systems. (Cat. No.00EX394) pp. 457 - 460
Main Authors Gangyi Jiang, Mei Yu, Bokang Yu
Format Conference Proceeding
LanguageEnglish
Published IEEE 2000
Subjects
Cameras
Control systems
Gold
Image reconstruction
Layout
Road vehicles
Safety
Surface reconstruction
Vehicle detection
Vehicle driving
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Summary:In this paper, a new approach to lane and obstacle detection is proposed, using reconstruction of 3D road surface. Based on it, a new method for detecting lateral and longitudinal distances of vehicle is developed. A fast reconstruction of 3D road surface, adaptive modification of parameters, from an input road scene image is presented, which can simplify the design of system without any lose of robustness and flexibility. Lane structure is extracted and obstacles are detected from a road image for determining lateral and longitudinal distances of vehicle, which is used for lateral and longitudinal control of driver assistant system.
ISBN:9780780362536
0780362535
DOI:10.1109/APCCAS.2000.913535