Research on cooperative sense and avoid approaches based on ADS-B for unmanned aerial vehicle

Chunhui Zhao, Jiade Gu, Jinwen Hu, Yang Lyu, Dong Wang

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

4 Scopus citations

Abstract

ADS-B is regarded as a promising fashion on UAV SAA application. With the advantages of small size, low power consumption and low cost, ADS-B is easy to be integrated and applied on small UAVs, providing precise cooperative information for UAVs to perform sense and avoid tasks. In this paper, the program of cooperative sense and avoid system based on ADS-B is proposed and an experimental platform is set up. Moreover, the closed-loop rapid-exploring random tree (CL-RRT) algorithm is applied in this system. Both the experiment and simulation results show that by the CL-RRT algorithm UAVs can effectively avoid the intruder with real ADS-B data. The feasibility and superiority of the ADS-B for small UAVs are verified in performing the sense and avoid task.

Original languageEnglish
Title of host publicationCGNCC 2016 - 2016 IEEE Chinese Guidance, Navigation and Control Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1541-1546
Number of pages6
ISBN (Electronic)9781467383189
DOIs
StatePublished - 20 Jan 2017
Event7th IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2016 - Nanjing, Jiangsu, China
Duration: 12 Aug 201614 Aug 2016

Publication series

NameCGNCC 2016 - 2016 IEEE Chinese Guidance, Navigation and Control Conference

Conference

Conference7th IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2016
Country/TerritoryChina
CityNanjing, Jiangsu
Period12/08/1614/08/16

Keywords

  • ADS-B
  • Sense And Avoid
  • UAV

Fingerprint

Dive into the research topics of 'Research on cooperative sense and avoid approaches based on ADS-B for unmanned aerial vehicle'. Together they form a unique fingerprint.

Cite this