UAV collision avoidance using sector recognition in cooperative mission to helicopters

Chin-E. Lin, Ya Hsien Lai, Fang Ju Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

The development of unmanned aerial aircrafts (UAVs) has made great progress recently for its broad uses in disaster rescue missions or civilian applications. UAV may be operating in joint missions with manned aircraft, mostly by helicopter. Traffic alert and collision avoidance system (TCAS) plays an important role to manned aircraft. This paper uses the concept of automatic dependent surveillance-broadcast (ADS-B) to collect aircraft data to establish collision avoidance. Based on the flight maneuvering, the proposed detection algorithm creates a sector range to cover the possible flight direction changes for UAVs and helicopters. Sector radius is calculated by speed in time. A cheese cake model is used to check the horizontal and vertical plane to conflict. Traffic advisory (TA) and resolution advisory (RA) are generated based on the overlapping area by sector recognition. In this paper, a Quasi-ADS-B flight data transceiver hardware is introduced in flight tests. The real flight experiment uses ultra-light aircrafts (ULA) to simulate helicopter and UAV in low altitude operation. From the flight experiment, the proposed TCAS for UAV and helicopter in mission airspace is verified with feasible function capability.

Original languageEnglish
Title of host publicationICNS 2014 Conference - Blocks and Builds
Subtitle of host publicationAir and Ground Convergence
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781479948918
DOIs
Publication statusPublished - 2014 Jan 1
Event14th Integrated Communications, Navigation and Surveillance Conference, ICNS 2014 - Herndon, VA, United States
Duration: 2014 Apr 82014 Apr 10

Publication series

NameIntegrated Communications, Navigation and Surveillance Conference, ICNS
ISSN (Print)2155-4943
ISSN (Electronic)2155-4951

Other

Other14th Integrated Communications, Navigation and Surveillance Conference, ICNS 2014
CountryUnited States
CityHerndon, VA
Period14-04-0814-04-10

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction

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