Cognitive-Based Autonomous Orbit of Non-Cooperative Targets

Jianliang Ma, Lele Zhang*, Jian Yang, Fang Deng

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Unmanned aerial vehicle (UAV) has received extensive attention in recent years. It is significant to achieve proximal observation of non-cooperative, highly dynamic, and large solidity targets by using of UAV. In this paper, a three-stage control method is proposed to solve this problem, which includes bearing-only tracking, obstacle-avoidance tracking, and proximity-based observation. Specifically, radar and depth camera, are used for observation, and the three-stage control method is designed by refinement of the traditional path planning method Rapidly-exploring Random Tree (RRT) and Model Predictive Control (MPC) technologies. A quadcopter model was developed in Gazebo, where its feasibility in validating the control method was demonstrated, providing essential technical support for the approach and observation of non-cooperative targets.

Original languageEnglish
Title of host publicationCognitive Computation and Systems - 3rd International Conference, ICCCS 2024, Revised Selected Papers
EditorsBin Xu, Jianlong Qiu
PublisherSpringer Science and Business Media Deutschland GmbH
Pages222-234
Number of pages13
ISBN (Print)9789819674374
DOIs
Publication statusPublished - 2025
Event3rd International Conference on Cognitive Computation and Systems, ICCCS 2024 - Linyi, China
Duration: 20 Dec 202422 Dec 2024

Publication series

NameCommunications in Computer and Information Science
Volume2516 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference3rd International Conference on Cognitive Computation and Systems, ICCCS 2024
Country/TerritoryChina
CityLinyi
Period20/12/2422/12/24

Keywords

  • MPC
  • Obstacle avoidance
  • RRT
  • UAV

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