Corner Detection for Intelligent Vehicles Based on a Four-Layer Radar

DOI

10.2991/emeit.2012.379How to use a DOI?

Keywords

intelligent vehicle, corner detection, road edge.

Abstract

Intelligent vehicle is thought to be an ideal way to deal with transportation problems. Corner detection is an important yet tough problem for intelligent vehicle because more complicated pictures may be generated by visions or radars from corners than from straight roads. Four-Layer radar was selected for this task for its ability in detecting roads in more abominable natural conditions than machine vision. Radar mapping feature was firstly analyzed, and road corner trait was described based on the radar map. Road edge points as well as smoothness of road surface were the two selected characteristics to find out the road scope, and road width varying extent was the primary benchmark for corners judging. Radar data from all the four layers were combined to overcome problems possibly occur with a fast vehicle or a narrow corner. Experimental results verified a high accuracy rate of the promoted method in corner recognizing.

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  - Hongquan Liu
AU  - Mingyue Feng
AU  - Mingxi Li
AU  - Zhichao Zhang
PY  - 2012/09
DA  - 2012/09
TI  - Corner Detection for Intelligent Vehicles Based on a Four-Layer Radar
BT  - Proceedings of the 2nd International Conference on Electronic & Mechanical Engineering and Information Technology (EMEIT 2012)
PB  - Atlantis Press
SP  - 1706
EP  - 1710
SN  - 1951-6851
UR  - https://doi.org/10.2991/emeit.2012.379
DO  - 10.2991/emeit.2012.379
ID  - Liu2012/09
ER  -