The Obstacle Avoidance for UAV Based on Improved Frames Difference and Optical Flow

DOI

10.2991/caai-17.2017.72How to use a DOI?

Keywords

lucas-kanade method; obstacle avoidance; frame difference; UAV

Abstract

As to the outdoor real-time change has a bad influence on the obstacle detection and avoidance for UAV with monocular-version, this paper propose a moving obstacle detection algorithm based on three frames subtraction with adaptive iterative threshold and optical flow. Based on improved three frames subtraction, it can quickly separate the moving object from the UAV's forward version and simplify the complexity of the optical flow algorithm. By using optical flow method in the zone where moving obstacles detected, which effectively decreases the influence in brightness constant and calculates the closer obstacle to avoidance. Through the experiment, results show that this method can detect the moving object and calculate the obstacle need to avoidance in good real-time performance and robustness.

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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TY  - CONF
AU  - Zhao Jin
AU  - Bin Yan
AU  - Run Ye
PY  - 2017/06
DA  - 2017/06
TI  - The Obstacle Avoidance for UAV Based on Improved Frames Difference and Optical Flow
BT  - Proceedings of the 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017)
PB  - Atlantis Press
SP  - 318
EP  - 323
SN  - 1951-6851
UR  - https://doi.org/10.2991/caai-17.2017.72
DO  - 10.2991/caai-17.2017.72
ID  - Jin2017/06
ER  -