Research on Automobile Distance Measurement System on Highway Based on Vehicle-mounted Camera

DOI

10.2991/iccasm.2012.269How to use a DOI?

Keywords

Camera calibration, Corner extraction, Line detection, Distance measurement, Matlab simulation

Abstract

Poor visibility brings the safety issues to the automobile running on highway in fog weather. The research of vehicle distance measurement system can help driver better estimate the distance between the car and the car in front and make opportune anti-collision action even in poor visibility. Firstly, the related intrinsic parameters are obtained through camera calibration based on checkerboard image; Secondly, the geometric information of road markings and the position relationship between the car and the car in front are extracted from the images obtained by camera; Finally, the real distance is obtained by the transforms from image coordinate to camera coordinate and then to world coordinate with the camera intrinsic parameters. It is proved that the experimental result is similar to the real value and meets the requirement. Furthermore, the camera self-calibration method which can reduce the impact of human action and make the foundation for the further study on camera calibration, is proposed.

Copyright

© 2012, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Zhiying Lu
AU  - Chunyan Han
AU  - Lichen Lin
PY  - 2012/08
DA  - 2012/08
TI  - Research on Automobile Distance Measurement System on Highway Based on Vehicle-mounted Camera
BT  - Proceedings of the 2012 International Conference on Computer Application and System Modeling (ICCASM 2012)
PB  - Atlantis Press
SP  - 1060
EP  - 1064
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccasm.2012.269
DO  - 10.2991/iccasm.2012.269
ID  - Lu2012/08
ER  -