A Comparison of Obstacle Dependent Gaussian and Hybrid Potential Field Methods for Collision Avoidance in Multi-Agent Systems. Issue 1 (26th April 2021)

Record Type:: Journal Article
Title:: A Comparison of Obstacle Dependent Gaussian and Hybrid Potential Field Methods for Collision Avoidance in Multi-Agent Systems. Issue 1 (26th April 2021)
Main Title:: A Comparison of Obstacle Dependent Gaussian and Hybrid Potential Field Methods for Collision Avoidance in Multi-Agent Systems
Authors:: Candan, Fethi
Peng, Yusheng
Mihaylova, Lyudmila
Is Part Of:: Manchester journal of artificial intelligence & applied sciences. Volume 2:Issue 1(2021)
Journal:: Manchester journal of artificial intelligence & applied sciences
Issue:: Volume 2:Issue 1(2021)
Issue Display:: Volume 2, Issue 1 (2021)
Year:: 2021
Volume:: 2
Issue:: 1
Issue Sort Value:: 2021-0002-0001-0000
Page Start:
Page End:
Publication Date:: 2021-04-26
Subjects:: Artificial intelligence -- Periodicals
Computer vision -- Periodicals
Image processing -- Periodicals
Big data -- Periodicals
006.3
Journal URLs:: https://mjaias.co.uk/ ↗
Languages:: English
ISSNs:: 2634-1034
Deposit Type:: Legaldeposit
View Content:: Available online (eLD content is only available in our Reading Rooms) ↗
Physical Locations:: British Library HMNTS - ELD Digital store
Ingest File:: 15735.xml