Isbn: 9783642079788 - fastslam: a scalable method for the simultaneous localization and mapping problem in robotics: 27 (11 risultati)

Condizione: New. pp. xv + 119.

Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This monograph describes a new family of algorithms for the simultaneous localization and mapping problem in robotics (SLAM). 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 and have been successfully applied in different dynamic environments, including the solution to the problem of people tracking.…

Taschenbuch. Condizione: Neu. FastSLAM | A Scalable Method for the Simultaneous Localization and Mapping Problem in Robotics | Michael Montemerlo (u. a.) | Taschenbuch | Springer Tracts in Advanced Robotics | xvi | Englisch | 2010 | Springer | EAN 9783642079788 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Paperback. Condizione: Brand New. reprint edition. 134 pages. 9.13x5.98x0.31 inches. In Stock.

Paperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Condizione: new. Questo è un articolo print on demand.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This monograph describes a new family of algorithms for the simultaneous localization and mapping (SLAM) problem in robotics, called FastSLAM. The FastSLAM-type algorithms have enabled robots to acquire maps of unprecedented size and accuracy, in a number of robot application domains and have been successfully applied in different dynamic environments, including a solution to the problem of people tracking. 136 pp. Englisch.…

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. From the winners of the DARPA Grand ChallengeFirst book on the market about FastSLAM, which is the most influential recent contributions to the SLAM (Simultaneous Localization and Mapping) problem for mobile robotsThis monograph describ.…

Condizione: New. Print on Demand pp. xv + 119 50 Illus. (41 Col.).

Condizione: New. PRINT ON DEMAND pp. xv + 119.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 136 pp. Englisch.…