Hypotheses based multi-object tracking in the RoboCup MidSize league

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

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One of the main challenges in the RoboCupMidSize league is to create a global view, or world model, of peer and opponent players in the game environment. This view is essential for strategic gameplay and global path planning. In this paper the team of TechUnited Eindhoven describes their solution to this issue. Ego and omnivision object measurements are shared amongst peer players. Each peer individually processes the measurements according to an hypotheses based sequential clustering algorithm. For each cluster Kalman observers are initiated from which an estimated position and velocity can be derived. This paper describes the first world model design known in the MidSize league that includes dynamics and labeling of peer and opponent players.
Originele taal-2Engels
TitelProceedings of the Internal Conference on Autonomous Agents And MultiAgent Systems (AAMAS2010) : Workshop on Agents in Real-time and Dynamic Environments, May 10-14, 2010, Toronto, Canada
RedacteurenU. Visser, S. Asadi, T. Laue, M. Mayer
StatusGepubliceerd - 2010
Evenement9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), May 10-14, 2010, Toronto, Canada - Sheraton Centre Toronto Hotel, Toronto, Canada
Duur: 10 mei 201014 mei 2010
http://www.cse.yorku.ca/AAMAS2010/

Congres

Congres9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), May 10-14, 2010, Toronto, Canada
Verkorte titelAAMAS 2010
Land/RegioCanada
StadToronto
Periode10/05/1014/05/10
AnderInternal Conference on Autonomous Agents And MultiAgent Systems
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