FastSLAM A Scalable Method for the Simultaneous Localization and Mapping Problem in Robotics /

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 enor...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Montemerlo, Michael (Autor), Thrun, Sebastian (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2007.
Edición:1st ed. 2007.
Colección:Springer Tracts in Advanced Robotics, 27
Temas:
Control engineering.
Robotics.
Automation.
Mathematical optimization.
Engineering mathematics.
Engineering-Data processing.
Artificial intelligence.
Image processing-Digital techniques.
Computer vision.
Control, Robotics, Automation.
Optimization.
Mathematical and Computational Engineering Applications.
Artificial Intelligence.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Acceso en línea:Texto Completo
Descripción
Sumario: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.
Descripción Física:XVI, 120 p. 50 illus., 41 illus. in color. online resource.
ISBN:9783540464020
ISSN:1610-742X ;

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