UAV collision avoidance based on geometric approach

Jung Woo Park, Hyon Dong Oh, Min Jea Tahk

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

148 Scopus citations

Abstract

A method of collision avoidance is described by using simple geometric approach. Two UAVs are dealt with and considered as point masses with constant velocity. This paper discusses en route aircraft which are assumed to be linked by real time data bases like ADS-B. With this data base, all UAVs share the information each other. Calculating PCA (Point of Closest Approach), we can evaluate the worst conflict condition between two UAVs. This paper proposes one resolution maneuvering logic, which can be called 'Vector Sharing Resolution'. In case of conflict, using miss distance vector in PCA, we can decide the directions for two UAVs to share the conflict region. With these directions, UAVs are going to maneuver cooperatively. First of all, this paper describes some '2-D' conflict scenarios and then extends to '3-D' conflict scenarios.

Original languageEnglish
Title of host publicationProceedings of SICE Annual Conference 2008 - International Conference on Instrumentation, Control and Information Technology
Pages2122-2126
Number of pages5
DOIs
StatePublished - 2008
EventSICE Annual Conference 2008 - International Conference on Instrumentation, Control and Information Technology - Tokyo, Japan
Duration: 20 Aug 200822 Aug 2008

Publication series

NameProceedings of the SICE Annual Conference

Conference

ConferenceSICE Annual Conference 2008 - International Conference on Instrumentation, Control and Information Technology
Country/TerritoryJapan
CityTokyo
Period20/08/0822/08/08

Keywords

  • Cooperative collision avoidance
  • Point of Closest Approach (PCA)
  • Sphere protected zone
  • Vector Sharing Resolution

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