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A Study of Autonomous Landing of UAV for Mobile Platform

Haojie Xiang, Jianjun Yi, Bo Zhou, Haili Wu, Jinzheng Mou

Year
2021
Citations
4

Abstract

Robot cooperation is the key to search and rescue (SAR) missions, which usually occur in complex situations affected by different types of disasters, and such situations usually require UAVs to cooperate with ground unmanned vehicles (UGVs) to provide valuable information, but achieving autonomous landing when return is urgently needed has been a research hotspot and difficulty in the field of mobile robotics. In this paper, an autonomous landing strategy for UAVs on mobile platforms is proposed to solve the above problems, and the specific research includes: (1) the construction of an autonomous landing platform and the design of cooperative target are completed considering the rapidity and stability of landing; (2) a method that can detect and track moving targets in real-time is proposed for the problem of moving target position movement; (3) the simulation scene and the actual scene of target identification is conducted accordingly. The experimental results show that the recognition of the target in both the simulation scene and the real scene is rapid and accurate.

Keywords

Computer scienceMobile robotSearch and rescueArtificial intelligenceRoboticsReal-time computingKey (lock)DroneComputer visionRobot

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