The problem of building statistical models for multi-sensor perception in unstructured outdoor environments is addressed in this book. The perception problem is divided into three distinct tasks: recognition, representation and association. Recognition is cast as a statistical classification problem where inputs are images or a combination of images and ranging information. Given the complexity and variability of natural environments, the use of Bayesian statistics and supervised dimensionality reduction to incorporate prior information and to fuse sensory data are investigated. This book presents techniques for combining non- linear dimensionality reduction with parametric learning through Expectation Maximisation to build general and compact representations of natural features. The robustness of localisation and mapping algorithms is directly related to reliable data association. A new data association algorithm incorporating visual and geometric information is proposed to improve the reliability of this task. The method uses a compact probabilistic representation of objects to fuse visual and geometric information for the association decision.
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Kartoniert / Broschiert. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ramos FabioFabio Tozeto Ramos received the B.Sc. and the M.Sc. degrees innMechatronics nEngineering at University of Sao Paulo, Brazil, in 2001 and 2003nrespectively, and the nPh.D. degree at University of Sydney, Australia, in 2007. Bestandsnummer des Verkäufers 4960845
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Taschenbuch. Zustand: Neu. Recognising, Representing and Mapping in Field Robotics | A Statistical View to Perception in Unstructured Environments | Fabio Ramos | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639137590 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 101575473
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The problem of building statistical models formulti-sensor perception in unstructured outdoor environments isaddressed in this book. The perception problem is divided intothree distinct tasks: recognition, representation and association.Recognition is cast as a statistical classification problem whereinputs are images or a combination of images and ranging information.Given the complexity and variability of natural environments,the use of Bayesian statistics and supervised dimensionalityreduction to incorporate prior information and to fuse sensorydata are investigated. This book presents techniques forcombining non-linear dimensionality reduction with parametriclearning through Expectation Maximisation to build general and compact representations of natural features. The robustnessof localisation and mapping algorithms is directly related toreliable data association. A new data association algorithmincorporating visual and geometric information is proposed to improve thereliability of this task. The method uses a compact probabilisticrepresentation of objects to fuse visual and geometric information forthe association decision. Bestandsnummer des Verkäufers 9783639137590
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Paperback. Zustand: Brand New. 212 pages. 8.60x5.80x0.60 inches. In Stock. This item is printed on demand. Bestandsnummer des Verkäufers 3639137590
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