A vehicle detection algorithm based on the multi-sensors fusion and multi-vision-features

DOI

10.2991/icmemtc-16.2016.309How to use a DOI?

Keywords

intelligent vehicle; vehicle detection; multi-vision features; space alignment

Abstract

With the importance of drive assistant system in intelligent vehicle, the vehicle detection fusing multi-sensors and multi-vision features is provided. The vehicle detection algorithm is composed of two steps. Firstly, the vision sensor and millimeter wave radar sensor are used, and with space transform between image coordinate and radar coordinate, the space alignment between two sensors is realized. Then, the vehicle is detected by fusing the different vision features including bottom shadow, symmetry, left and right edges. The performance of the detection algorithm is verified under simple and complex environment, and the results show the vehicle detection algorithm is valid and feasible.

Copyright

© 2016, 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  - Lu Jin
AU  - Xiao Kang
AU  - Yue Wu
PY  - 2016/04
DA  - 2016/04
TI  - A vehicle detection algorithm based on the multi-sensors fusion and multi-vision-features
BT  - Proceedings of the 2016 3rd International Conference on Materials Engineering, Manufacturing Technology and Control
PB  - Atlantis Press
SP  - 1621
EP  - 1626
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmemtc-16.2016.309
DO  - 10.2991/icmemtc-16.2016.309
ID  - Jin2016/04
ER  -