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ISBN 10: 3838364384 ISBN 13: 9783838364384
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Visual Odometry for Mobile Robots | Motion Estimation from Imagery | Hatem Alismail | Taschenbuch | 68 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783838364384 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu.
Lingua: Inglese
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Visual odometry makes use of an image sequence to estimate the motion of a robot and optionally the structure of the world. The low-cost and small-size of cameras, combined with the high-information content of the images they capture make them ideal for robot platforms. The output of the algorithm is a 3D map of the environment as well as camera/robot trajectory suitable for mobile robots localization and navigation tasks. In this manuscript we explain visual odometry in all of its details, starting with the basic camera projection and ending with non-linear motion and structure refinement. We compare different approaches within this framework and show that relative orientation is superior to using absolute orientation for the pose estimation problem. Secondly, we introduce a novel track selection process that improves the fault tolerance of SBA to short baseline feature tracks. 68 pp. Englisch.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838364384 ISBN 13: 9783838364384
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Alismail HatemHatem Alismail graduated from Carnegie Mellon Qatar with Bachelor of Science degree in Computer Science. Alismail is pursing his graduate degree in Robotics at the Robotics Institute in Carnegie Mellon in Pittsburgh, US.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Jun 2010, 2010
ISBN 10: 3838364384 ISBN 13: 9783838364384
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Visual odometry makes use of an image sequence to estimate the motion of a robot and optionally the structure of the world. The low-cost and small-size of cameras, combined with the high-information content of the images they capture make them ideal for robot platforms. The output of the algorithm is a 3D map of the environment as well as camera/robot trajectory suitable for mobile robots localization and navigation tasks. In this manuscript we explain visual odometry in all of its details, starting with the basic camera projection and ending with non-linear motion and structure refinement. We compare different approaches within this framework and show that relative orientation is superior to using absolute orientation for the pose estimation problem. Secondly, we introduce a novel track selection process that improves the fault tolerance of SBA to short baseline feature tracks.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 68 pp. Englisch.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838364384 ISBN 13: 9783838364384
Da: AHA-BUCH GmbH, Einbeck, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Visual odometry makes use of an image sequence to estimate the motion of a robot and optionally the structure of the world. The low-cost and small-size of cameras, combined with the high-information content of the images they capture make them ideal for robot platforms. The output of the algorithm is a 3D map of the environment as well as camera/robot trajectory suitable for mobile robots localization and navigation tasks. In this manuscript we explain visual odometry in all of its details, starting with the basic camera projection and ending with non-linear motion and structure refinement. We compare different approaches within this framework and show that relative orientation is superior to using absolute orientation for the pose estimation problem. Secondly, we introduce a novel track selection process that improves the fault tolerance of SBA to short baseline feature tracks.