Multi UAV Target Tracking Based on the Vision and Communication Information

Chang Liu, Dongsheng Wang, Yong Tang, Bin Xu

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

Abstract

This paper investigates the multi Unmanned Aerial Vehicle (UAV) target tracking mission based on the vision and communication information. Firstly, the multiple UAV platform is established to achieve the target tracking mission. Furthermore, utilizing deep learning algorithm, target detection is accomplished based on UAV vision. Thirdly, each UAV could communicate with others to share target information and track it by maintaining the certain distance. Finally, the effectiveness of multi UAV target tracking system is verified on the actual test.

Original languageEnglish
Title of host publicationCognitive Systems and Signal Processing - 5th International Conference, ICCSIP 2020, Revised Selected Papers
EditorsFuchun Sun, Huaping Liu, Bin Fang
PublisherSpringer Science and Business Media Deutschland GmbH
Pages611-620
Number of pages10
ISBN (Print)9789811623356
DOIs
StatePublished - 2021
Event5th International Conference on Cognitive Systems and Signal Processing, ICCSIP 2020 - Zhuhai, China
Duration: 25 Dec 202027 Dec 2020

Publication series

NameCommunications in Computer and Information Science
Volume1397 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference5th International Conference on Cognitive Systems and Signal Processing, ICCSIP 2020
Country/TerritoryChina
CityZhuhai
Period25/12/2027/12/20

Keywords

  • Multi UAV
  • Target localization
  • Target tracking

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