Integrating Local Collision Avoidance with Shortest Path Maps

dc.contributor.author	Sharma, Ritesh	en_US
dc.contributor.author	Farias, Renato	en_US
dc.contributor.author	Kallmann, Marcelo	en_US
dc.contributor.editor	Ritschel, Tobias and Eilertsen, Gabriel	en_US
dc.date.accessioned	2020-05-24T13:40:48Z
dc.date.available	2020-05-24T13:40:48Z
dc.date.issued	2020
dc.identifier.isbn	978-3-03868-104-5
dc.identifier.issn	1017-4656
dc.identifier.uri	https://doi.org/10.2312/egp.20201037
dc.identifier.uri	https://diglib.eg.org:443/handle/10.2312/egp20201037
dc.description.abstract	The effective integration of local collision avoidance with global path planning becomes a necessity when multi-agent systems need to be simulated in complex cluttered environments. This work presents our first results exploring the new approach of integrating Shortest Path Maps (SPMs) with local collision avoidance in order to provide optimal paths for agents to navigate around obstacles toward their goal locations. Our GPU-based SPM implementation is available.	en_US
dc.publisher	The Eurographics Association	en_US
dc.rights	Attribution 4.0 International License
dc.rights.uri	https://creativecommons.org/licenses/by/4.0/	]
dc.subject	Computing methodologies
dc.subject	Collision detection
dc.subject	Multi
dc.subject	agent planning
dc.title	Integrating Local Collision Avoidance with Shortest Path Maps	en_US
dc.description.seriesinformation	Eurographics 2020 - Posters
dc.description.sectionheaders	Posters
dc.identifier.doi	10.2312/egp.20201037
dc.identifier.pages	7-8

Except where otherwise noted, this item's license is described as Attribution 4.0 International License