Vehicle-Mounted Camera Optimal Setting and Lane Projective Model for Lane Detection System

Abstract:

Lane detection system is generally composed of three modules, lane image acquisition with camera, lane recognition, and lane parameters calculation. The camera setting in lane image acquisition module determines the lane information content in image. This paper proposes the camera extrinsic parameter optimal setting for lane detection, which is derived from the lane projective model in image. Firstly, the general lane projective model in image is introduced. Then the camera extrinsic parameters error influence on the lane parameters calculation is analyzed and the camera extrinsic parameters setting ranges are gotten. Finally, the optimal camera extrinsic parameters settings are derived based on the lane projective model and the compact lane projective model is given. By using the camera optimal setting, the lane information content in the images captured by the camera can be maximized and the lane projective model can be compacted.

• Periodical: Applied Mechanics and Materials (Volumes 220-223)
• Pages: 1362-1367
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.220-223.1362
• Online since: November 2012
• Authors: Yong Chen, M. Y. He
• Keywords: Camera Optimal Setting, Lane Parameters Calculation, Lane Projective Model

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