Detection of lateral and longitudinal distances for driver assistant system

Author

Jiang, Gangyi ; Yu, Mei ; Yu, Bokang

Author_Institution

Coll. of Inf. Eng., Ningbo Univ., China

fYear

2000

fDate

2000

Firstpage

457

Lastpage

460

Abstract

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

Keywords

computer vision; driver information systems; feature extraction; image reconstruction; 3D road surface; adaptive modification; driver assistant; driver assistant system; flexibility; lane detection; lateral distances; longitudinal distances; obstacle detection; robustness; Cameras; Control systems; Gold; Image reconstruction; Layout; Road vehicles; Safety; Surface reconstruction; Vehicle detection; Vehicle driving;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 2000. IEEE APCCAS 2000. The 2000 IEEE Asia-Pacific Conference on

Conference_Location

Tianjin

Print_ISBN

0-7803-6253-5

Type

conf

DOI

10.1109/APCCAS.2000.913535

Filename

913535