Proceedings of the 3rd Workshop on Advanced Research and Technology in Industry (WARTIA 2017)

Research of Image Acquisition and Processing Based on Visual Guiding Intelligent Vehicle

Authors
Yunhua Gao
Corresponding Author
Yunhua Gao
Available Online November 2017.
DOI
10.2991/wartia-17.2017.19How to use a DOI?
Keywords
Visual guide, Intelligent transportation systems, Digital image processing, Image acquisition.
Abstract

Accurate traffic information collection and identification is a basic work for the intelligent vehicle autonomous driving, is the important premise to decide whether it stable high-speed vehicles. Road recognition technology and digital image processing techniques play a very important role. On the one hand can really simulate human vision, on the other hand also can get large amount of information, in this paper the research content of intelligent transportation system, image acquisition device and digital image processing technology in the application of intelligent transportation system and so on has made the detailed analysis and research.

Copyright
© 2017, 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 3rd Workshop on Advanced Research and Technology in Industry (WARTIA 2017)
Series
Advances in Engineering Research
Publication Date
November 2017
ISBN
978-94-6252-409-5
ISSN
2352-5401
DOI
10.2991/wartia-17.2017.19How to use a DOI?
Copyright
© 2017, 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  - Yunhua Gao
PY  - 2017/11
DA  - 2017/11
TI  - Research of Image Acquisition and Processing Based on Visual Guiding Intelligent Vehicle
BT  - Proceedings of the 3rd Workshop on Advanced Research and Technology in Industry (WARTIA 2017)
PB  - Atlantis Press
SP  - 96
EP  - 100
SN  - 2352-5401
UR  - https://doi.org/10.2991/wartia-17.2017.19
DO  - 10.2991/wartia-17.2017.19
ID  - Gao2017/11
ER  -