Road Obstacle Detection Based on Randomized Hough Transform

DOI

10.2991/ictcs-14.2014.18How to use a DOI?

Keywords

hough transform; randomized hough transform; road obstacle detection

Abstract

Road obstacle detection is the core of pedestrian safety. As an effective image object detection method, Hough transform can detect straight lines, circles, ellipses, parabolas, and many other analytical graphics. This paper mainly detects bar deceleration strips and round well covers, owing to obvious linear features. Therefore, randomized Hough transform is applied to detect roadblocks to ensure pedestrian safety, improving the detection efficiency compared to the classical Hough transform in this article.

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  - Jing Lv
AU  - Yuanyuan Shang
AU  - Hui Ding
PY  - 2014/05
DA  - 2014/05
TI  - Road Obstacle Detection Based on Randomized Hough Transform
BT  - Proceedings of the 2nd International Conference on Teaching and Computational Science
PB  - Atlantis Press
SP  - 72
EP  - 74
SN  - 1951-6851
UR  - https://doi.org/10.2991/ictcs-14.2014.18
DO  - 10.2991/ictcs-14.2014.18
ID  - Lv2014/05
ER  -