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Detection of Moving Objects by Spatio-Temporal Motion Analysis: Real-time Motion Estimation for Driver Assistance Systems - Brossura
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Driver assistance systems of the future require a thorough understanding of the car's environment. In this thesis, a novel principle (6D-Vision) is presented and investigated in detail, which allows the reconstruction of the 3D motion field from the image sequence obtained by a stereo camera system. Given correspondences of stereo measurements over time, this principle estimates the 3D position and the 3D motion vector of selected points using Kalman Filters, resulting in a real-time estimation of the observed motion field. To estimate the absolute motion field, the ego-motion of the moving observer must be known precisely. Thus, a novel algorithm to estimate the ego-motion from the image sequence is presented. As the 6D-Vision principle is not restricted to particular image processing algorithms, various optical flow and stereo algorithms are evaluated. In addition, two novel scene flow algorithms are introduced, measuring the optical flow and stereo information in a combined approach. This yields more precise and robust results. The application to real-world data, including a demonstrator vehicle for autonomous collision avoidance, is illustrated throughout the thesis.
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was born in 1979 in Gießen, Germany. He attained his diploma degree in computer engineering from the University of Applied Sciences Würzburg, Germany in 2005. In 2011, he was awarded his PhD in computer science from the University of Kiel, Germany. He works as a research engineer at the Daimler AG in Sindelfingen, Germany.
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Detection of Moving Objects by Spatio-Temporal Motion Analysis : Real-time Motion Estimation for Driver Assistance Systems
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Südwestdeutscher Verlag für Hochschulschriften AG Co. KG, 2015
ISBN 10: 383813219X
ISBN 13: 9783838132198
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Condizione: Sehr gut. Zustand: Sehr gut | Seiten: 168 | Sprache: Englisch | Produktart: Sonstiges. Codice articolo 12393678/2
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Detection of Moving Objects by Spatio-Temporal Motion Analysis
Editore:
Südwestdeutscher Verlag für Hochschulschriften, 2012
ISBN 10: 383813219X
ISBN 13: 9783838132198
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Da: moluna, Greven, Germania
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Rabe Clemenswas born in 1979 in Giessen, Germany. He attained his diploma degree in computer engineering from the University of Applied Sciences Wuerzburg, Germany in 2005. In 2011, he was awarded his PhD in computer science from the U. Codice articolo 5407502
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Detection of Moving Objects by Spatio-Temporal Motion Analysis
ISBN 10: 383813219X
ISBN 13: 9783838132198
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Driver assistance systems of the future require a thorough understanding of the car's environment. In this thesis, a novel principle (6D-Vision) is presented and investigated in detail, which allows the reconstruction of the 3D motion field from the image sequence obtained by a stereo camera system. Given correspondences of stereo measurements over time, this principle estimates the 3D position and the 3D motion vector of selected points using Kalman Filters, resulting in a real-time estimation of the observed motion field. To estimate the absolute motion field, the ego-motion of the moving observer must be known precisely. Thus, a novel algorithm to estimate the ego-motion from the image sequence is presented. As the 6D-Vision principle is not restricted to particular image processing algorithms, various optical ow and stereo algorithms are evaluated. In addition, two novel scene ow algorithms are introduced, measuring the optical ow and stereo information in a combined approach. This yields more precise and robust results. The application to real-world data, including a demonstrator vehicle for autonomous collision avoidance, is illustrated throughout the thesis. 168 pp. Englisch. Codice articolo 9783838132198
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Detection of Moving Objects by Spatio-Temporal Motion Analysis : Real-time Motion Estimation for Driver Assistance Systems
Editore:
Südwestdeutscher Verlag Für Hochschulschriften AG Co. KG, 2012
ISBN 10: 383813219X
ISBN 13: 9783838132198
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Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Driver assistance systems of the future require a thorough understanding of the car's environment. In this thesis, a novel principle (6D-Vision) is presented and investigated in detail, which allows the reconstruction of the 3D motion field from the image sequence obtained by a stereo camera system. Given correspondences of stereo measurements over time, this principle estimates the 3D position and the 3D motion vector of selected points using Kalman Filters, resulting in a real-time estimation of the observed motion field. To estimate the absolute motion field, the ego-motion of the moving observer must be known precisely. Thus, a novel algorithm to estimate the ego-motion from the image sequence is presented. As the 6D-Vision principle is not restricted to particular image processing algorithms, various optical ow and stereo algorithms are evaluated. In addition, two novel scene ow algorithms are introduced, measuring the optical ow and stereo information in a combined approach. This yields more precise and robust results. The application to real-world data, including a demonstrator vehicle for autonomous collision avoidance, is illustrated throughout the thesis. Codice articolo 9783838132198
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Detection of Moving Objects by Spatio-Temporal Motion Analysis
ISBN 10: 383813219X
ISBN 13: 9783838132198
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. Neuware -Driver assistance systems of the future require a thorough understanding of the car's environment. In this thesis, a novel principle (6D-Vision) is presented and investigated in detail, which allows the reconstruction of the 3D motion field from the image sequence obtained by a stereo camera system. Given correspondences of stereo measurements over time, this principle estimates the 3D position and the 3D motion vector of selected points using Kalman Filters, resulting in a real-time estimation of the observed motion field. To estimate the absolute motion ¿eld, the ego-motion of the moving observer must be known precisely. Thus, a novel algorithm to estimate the ego-motion from the image sequence is presented. As the 6D-Vision principle is not restricted to particular image processing algorithms, various optical ¿ow and stereo algorithms are evaluated. In addition, two novel scene ¿ow algorithms are introduced, measuring the optical ¿ow and stereo information in a combined approach. This yields more precise and robust results. The application to real-world data, including a demonstrator vehicle for autonomous collision avoidance, is illustrated throughout the thesis.Books on Demand GmbH, Überseering 33, 22297 Hamburg 168 pp. Englisch. Codice articolo 9783838132198
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