Autonomous Identification and Planning System for Quadrotor UAV Based on Vision

DOI

10.2991/mme-16.2017.97How to use a DOI?

Keywords

Quadrotor UAV, Monocular vision, Route planning, Embedded control.

Abstract

An autonomous identification and planning system is proposed and a flight platform based on Linux embedded control system is developed for a quadrotor unmanned aerial vehicle (UAV) based on vision. In the process of control, through the Zenmuse X3 camera and the Open CV library for real-time image processing, to achieve the UAV target identification and localization. By improved genetic algorithm to plan a reasonable path for the UAV, make its complete the mission from the starting point to the end point. The ultrasonic data from the Guidance is acquired, and the UAV accurate position can be realized by the acquired near-ground height information. The proposed approach is verified by experiments.

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  - Xuan Du
AU  - Kang Zhu
AU  - Bo Qin
PY  - 2016/12
DA  - 2016/12
TI  - Autonomous Identification and Planning System for Quadrotor UAV Based on Vision
BT  - Proceedings of the 3rd Annual International Conference on Mechanics and Mechanical Engineering (MME 2016)
PB  - Atlantis Press
SP  - 700
EP  - 707
SN  - 2352-5401
UR  - https://doi.org/10.2991/mme-16.2017.97
DO  - 10.2991/mme-16.2017.97
ID  - Du2016/12
ER  -