Hybrid obstacle avoidance system with vision and ultrasonic sensors for multi-rotor MAVs
ISSN: 0143-991x
Article publication date: 9 February 2018
Issue publication date: 9 April 2018
Abstract
Purpose
This paper aims to develop an obstacle avoidance system for a multi-rotor micro aerial vehicle (MAV) that flies in indoor environments which usually contain transparent, texture-less or moving objects.
Design/methodology/approach
The system adopts a combination of a stereo camera and an ultrasonic sensor to detect obstacles and extracts three-dimensional (3D) point clouds. The obstacle map is built on a coarse global map and updated by local maps generated by the recent 3D point clouds. An efficient layered A* path planning algorithm is also proposed to address the path planning in 3D space for MAVs.
Findings
The authors conducted a lot of experiments in both static and dynamic scenes. The results show that the obstacle avoidance system works reliably even when transparent or texture-less obstacles are present. The layered A* path planning algorithm is much faster than the traditional 3D algorithm and makes the system response quickly when the obstacle map has been changed because of the moving objects.
Research limitations/implications
The limited field of view of both stereo camera and ultrasonic sensor makes the system need to change heading first before moving side to side or moving backward. But this problem could be addressed when multiple systems are mounted toward different directions on the MAV.
Practical implications
The developed approach could be valuable to applications in indoors.
Originality/value
This paper presents a robust obstacle avoidance system and a fast layered path planning algorithm that are easy to be implemented for practical systems.
Keywords
Acknowledgements
This work is supported by Natural Science Foundation of China (Grant No. 61402283).
Citation
Zhou, Q., Zou, D. and Liu, P. (2018), "Hybrid obstacle avoidance system with vision and ultrasonic sensors for multi-rotor MAVs", Industrial Robot, Vol. 45 No. 2, pp. 227-236. https://doi.org/10.1108/IR-07-2017-0126
Publisher
:Emerald Publishing Limited
Copyright © 2018, Emerald Publishing Limited