Proceedings of the 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017)

Research on the Improved Method of Monocular Distance Measurement in Forest Fire Prevention

Authors
Shaoqing Tian
Corresponding Author
Shaoqing Tian
Available Online June 2017.
DOI
10.2991/caai-17.2017.102How to use a DOI?
Keywords
monocular; gray projection; positioning; distance measurement
Abstract

In the context of the research of fire location of forest fire, based on the existing two-dimensional data of the camera, a new method is proposed. This method improves the accuracy of the monocular distance measurement system by adding a dimension of information. Through the gray scale projection electronic image stabilization method, it achieves the automation of monocular distance measurement. Simulation experiment shows that it can better measure the distance between the camera and the target with the proposed method.

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 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017)
Series
Advances in Intelligent Systems Research
Publication Date
June 2017
ISBN
10.2991/caai-17.2017.102
ISSN
1951-6851
DOI
10.2991/caai-17.2017.102How 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  - Shaoqing Tian
PY  - 2017/06
DA  - 2017/06
TI  - Research on the Improved Method of Monocular Distance Measurement in Forest Fire Prevention
BT  - Proceedings of the 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017)
PB  - Atlantis Press
SP  - 451
EP  - 454
SN  - 1951-6851
UR  - https://doi.org/10.2991/caai-17.2017.102
DO  - 10.2991/caai-17.2017.102
ID  - Tian2017/06
ER  -