Precision UAV collision avoidance using computationally efficient avoidance maps

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Authors
Tony, Lima A.
Ghose, Debasish
Chakravarthy, Animesh
Advisors
Issue Date
2018-01-08
Type
Conference paper
Keywords
Motion planning , Obstacle avoidance , Mobile robots , Airspace , Artificial potential fields , Formation flying , Factor of safety , Heading angle , Computing , RADAR
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Citation
Tony, 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 www.scopus.com
Abstract

This 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.

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Publisher
American Institute of Aeronautics and Astronautics
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AIAA Guidance, Navigation, and Control Conference
2018
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