Mujumdar, Anusha and Padhi, Radhakant (2011) Evolving Philosophies on Autonomous Obstacle/Collision Avoidance of Unmanned Aerial Vehicles. In: Journal of Aerospace Computing, Information, and Communication, 8 (2). pp. 17-41.
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Abstract
Much of the benefits of deploying unmanned aerial vehicles can be derived from autonomous missions. For such missions, however, sense-and-avoid capability (i.e., the ability to detect potential collisions and avoid them) is a critical requirement. Collision avoidance can be broadly classified into global and local path-planning algorithms, both of which need to be addressed in a successful mission. Whereas global path planning (which is mainly done offline) broadly lays out a path that reaches the goal point, local collision-avoidance algorithms, which are usually fast, reactive, and carried out online, ensure safety of the vehicle from unexpected and unforeseen obstacles/collisions. Even though many techniques for both global and local collision avoidance have been proposed in the recent literature, there is a great interest around the globe to solve this important problem comprehensively and efficiently and such techniques are still evolving. This paper presents a brief overview of a few promising and evolving ideas on collision avoidance for unmanned aerial vehicles, with a preferential bias toward local collision avoidance.
Item Type: | Journal Article |
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Publication: | Journal of Aerospace Computing, Information, and Communication |
Publisher: | American Institute of Aeronautics and Astronautics |
Additional Information: | Copyright of this article belongs to American Institute of Aeronautics and Astronautics. |
Department/Centre: | Division of Mechanical Sciences > Aerospace Engineering(Formerly Aeronautical Engineering) |
Date Deposited: | 24 Mar 2011 06:17 |
Last Modified: | 29 Mar 2011 09:49 |
URI: | http://eprints.iisc.ac.in/id/eprint/36198 |
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