An Automatic Evaluation System for the Photometric Performance of Vehicle Headlamps Using Image Processing Algorithms

DOI

10.2991/mce-14.2014.131How to use a DOI?

Keywords

illuminance distribution measurement; passing beam assessment; image processing; cut-off line aiming; edge detection

Abstract

Global report reveals that about 1.24 million road traffic deaths occur annually on the world’s roads. The beam pattern is an important characteristic of the headlamp for road safety. Measurement by traditional testing methods using a CIE A- type goniophotometer cost enormous amount of time and money. In this study, an automatic evaluation method based on image processing is proposed for saving testing time and space. The novel concept of I-matrix is applied in the evaluation algorithm. Comparison of six different algorithms for edge detection of the cut-off line is shown in this study and the Canny algorithm stands out with an expected result. Experiment results show that the proposed method can export a reliable report with a tolerant error. The automatic alignment procedure based on edge detection algorithms can not only serve this evaluation system, but also be used to replace the visual task for cut-off line aiming in traditional methods.

Copyright

© 2014, 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  - Yandan Lin
AU  - Yuan Gao
AU  - Yaojie Sun
AU  - Shijun Zhang
AU  - Wei Wang
PY  - 2014/03
DA  - 2014/03
TI  - An Automatic Evaluation System for the Photometric Performance of Vehicle Headlamps Using Image Processing Algorithms
BT  - Proceedings of the 2014 International Conference on Mechatronics, Control and Electronic Engineering
PB  - Atlantis Press
SP  - 588
EP  - 593
SN  - 1951-6851
UR  - https://doi.org/10.2991/mce-14.2014.131
DO  - 10.2991/mce-14.2014.131
ID  - Lin2014/03
ER  -