A real time power line detect system based on stereo vision

DOI

10.2991/icmia-16.2016.75How to use a DOI?

Keywords

power line, FPGA, real time, stereo vision, 3d reconstruction

Abstract

In recent years, Unmanned Aerial Vehicle(UAV) is widely used for power lines patrol. While it's more efficient than manually patrolling, the UAV may easily collide with power lines. So measures must be taken to detect the distance between UAV and power lines. This paper presents a real time power line detect system based on binocular vision techniques, which contains a hardware platform based on FPGA and DSP to calculate real time disparity map and extract power lines. We adopt a robust stereo matching algorithm based on cross-based arbitrary shape support region and Hough transfer to extract lines from the depth image. Our experiment results show that our system can correctly detect the distance between the UAV and power lines in real time.

Copyright

© 2016, 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  - Xingang Mou
AU  - Wei Luo
AU  - Xiaoliang Zheng
AU  - Xiao Zhou
PY  - 2016/11
DA  - 2016/11
TI  - A real time power line detect system based on stereo vision
BT  - Proceedings of the 2016 5th International Conference on Measurement, Instrumentation and Automation (ICMIA 2016)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmia-16.2016.75
DO  - 10.2991/icmia-16.2016.75
ID  - Mou2016/11
ER  -