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Optimal bearing-only-information strategy for unmanned aircraft collision avoidance

dc.contributor.authorMolloy, Timothy L.en
dc.contributor.authorPerez, Tristanen
dc.contributor.authorWilliams, Brendan P.en
dc.date.accessioned2025-12-16T01:37:17Z
dc.date.available2025-12-16T01:37:17Z
dc.date.issued2020en
dc.description.abstractThis paper presents a novel collision-avoidance strategy for unmanned aircraft detect and avoid that requires only information about the relative bearing angle between an aircraft and hazard. It is shown that this bearing-only strategy can be conceived as the solution to a novel differential-game formulation of collision avoidance, and has several intuitive properties, including maximizing the instantaneous range acceleration in situations where the hazard is stationary or has a finite turn rate. The performance of the bearing-only strategy is illustrated in simulations based on test cases drawn from draft minimum operating performance standards for unmanned aircraft detect-and-avoid systems.en
dc.description.sponsorshipThis work was supported by the Queensland Government Department of Science, Information Technology and Innovation and Boeing Research & Technology—Australia through an Advance Queensland Research Fellowship (AQRF07616-12RD2) to Timothy L. Molloy. The authors gratefully acknowledge Grace Garden, Neale Fulton, and Jason Ford for fruitful discussions on collision avoidance that helped to set the context of this paper.en
dc.description.statusPeer-revieweden
dc.format.extent15en
dc.identifier.issn0731-5090en
dc.identifier.scopus85090885038en
dc.identifier.urihttps://hdl.handle.net/1885/733795268
dc.language.isoenen
dc.rightsPublisher Copyright: © 2020 by the American Institute of Aeronautics and Astronautics, Inc.en
dc.sourceJournal of Guidance, Control, and Dynamicsen
dc.titleOptimal bearing-only-information strategy for unmanned aircraft collision avoidanceen
dc.typeJournal articleen
dspace.entity.typePublicationen
local.bibliographicCitation.lastpage1836en
local.bibliographicCitation.startpage1822en
local.contributor.affiliationMolloy, Timothy L.; Queensland University of Technologyen
local.contributor.affiliationPerez, Tristan; Boeing Research and Technology Australiaen
local.contributor.affiliationWilliams, Brendan P.; Boeing Research and Technology Australiaen
local.identifier.citationvolume43en
local.identifier.doi10.2514/1.G004896en
local.identifier.purefa82c6b8-4882-4983-90cc-787897982607en
local.identifier.urlhttps://www.scopus.com/pages/publications/85090885038en
local.type.statusPublisheden

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