Proceedings of the 5th International Conference on Advanced Design and Manufacturing Engineering

Research on obstacle recognition and distance calculation based on the structure of the road

Authors
Zi-Ming Zou, Hai-Rong Li, Xiao-Yang Liu
Corresponding Author
Zi-Ming Zou
Available Online October 2015.
DOI
10.2991/icadme-15.2015.114How to use a DOI?
Keywords
obstacle recognition; distance calculation; the structure of road.
Abstract

Based on Machine Vision, the paper research a method to detect obstacles and calculate the distance between the obstacle and moving vehicles. First it uses the shadow detection method to determine approximate location of the obstacle and adopt corner detection method to detect the obstacle contour information. Then, the minimum bounding rectangle method is used to accurately framed obstacles vehicles. Finally, based on the principle of the distance in the camera, the obstacle distance measurement formula is built. Experimental results show that the algorithm can accurately locate obstacles and measure the actual distance between the moving vehicle and the obstacles.

Copyright
© 2015, 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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Volume Title
Proceedings of the 5th International Conference on Advanced Design and Manufacturing Engineering
Series
Advances in Engineering Research
Publication Date
October 2015
ISBN
978-94-6252-113-1
ISSN
2352-5401
DOI
10.2991/icadme-15.2015.114How to use a DOI?
Copyright
© 2015, 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/).

Cite this article

TY  - CONF
AU  - Zi-Ming Zou
AU  - Hai-Rong Li
AU  - Xiao-Yang Liu
PY  - 2015/10
DA  - 2015/10
TI  - Research on obstacle recognition and distance calculation based on the structure of the road
BT  - Proceedings of the 5th International Conference on Advanced Design and Manufacturing Engineering
PB  - Atlantis Press
SP  - 563
EP  - 567
SN  - 2352-5401
UR  - https://doi.org/10.2991/icadme-15.2015.114
DO  - 10.2991/icadme-15.2015.114
ID  - Zou2015/10
ER  -