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dc.contributor.authorTony, Lima A.
dc.contributor.authorGhose, Debasish
dc.contributor.authorChakravarthy, Animesh
dc.identifier.citationTony, L. A., Ghose, D., & Chakravarthy, A. (2018). Precision UAV collision avoidance using computationally efficient avoidance maps. Paper presented at the AIAA Guidance, Navigation, and Control Conference, 2018, (210039) doi:10.2514/6.2018-0875 Retrieved from
dc.descriptionClick on the DOI to access this article (may not be free).
dc.description.abstractThis paper combines the notion of avoidance maps for collision avoidance between UAVs, proposed earlier in the literature, with requirement of the UAVs returning to their originally planned path. As the return path may give rise to further possibilities of collision avoidance, the avoidance map technique needs to be applied several times during the whole process. This paper addresses these issues by designing computationally efficient and energy efficient precision collision avoidance methods. Several simulation results are presented.
dc.description.sponsorshipThe third author would like to acknowledge support from the National Science Foundation grants IIS1351677 and CNS-1446557.
dc.publisherAmerican Institute of Aeronautics and Astronautics
dc.relation.ispartofseriesAIAA Guidance, Navigation, and Control Conference
dc.subjectMotion planning
dc.subjectObstacle avoidance
dc.subjectMobile robots
dc.subjectArtificial potential fields
dc.subjectFormation flying
dc.subjectFactor of safety
dc.subjectHeading angle
dc.titlePrecision UAV collision avoidance using computationally efficient avoidance maps
dc.typeConference paper
dc.rights.holder© 2018 by Lima Agnel Tony, Debasish Ghose, Animesh Chakravarthy.

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  • AE Research Publications
    Research publications authored by the Department of Aerospace Engineering faculty and graduate students.

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