FastSLAM: A Scalable Method For The Simultaneous Localization and Mapping Problem In Robotics - Couverture rigide

Montemerlo, Michael; Thrun, Sebastian

Couverture rigide

ISBN 10 : 3540463992 ISBN 13 : 9783540463993

Editeur : Springer-Verlag Berlin and Heidelberg GmbH & Co. K, 2007

Synopsis

This monograph, from the winners of the DARPA Grand Challenge, describes a new family of algorithms for the simultaneous localization and mapping problem in robotics (SLAM). It is the first book on the market about FastSLAM which is the most influential of recent contributions to the SLAM problem for mobile robots. SLAM addresses the problem of acquiring an environment map with a roving robot, while simultaneously localizing the robot relative to this map. This problem has received enormous attention in the robotics community in the past few years, reaching a peak of popularity on the occasion of the DARPA Grand Challenge in October 2005, which was won by the team headed by the authors. The FastSLAM family of algorithms applies particle filters to the SLAM Problem, which provides new insights into the data association problem that is paramount in SLAM. The FastSLAM-type algorithms have enabled robots to acquire maps of unprecedented size and accuracy in a number of robot application domains.

Détails de l'édition

• Éditeur: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
• Date d'édition: 2007
• Langue: anglais
• ISBN 10: 3540463992
• ISBN 13: 9783540463993
• Reliure: Relié
• Nombre de pages: 120
• Coordonnées du fabricant: non disponible
• Personne responsable: CMN Printpool Inh. Mathis Neumann; https://www.also.com/ec/cms5/en_6000/6000/index.jsp; ; Friedrich-Karl-Str. 9; Hamburg; Allemagne