Designing a real-time visual tracking system to perform control is a complex task because of a large amount of streaming video data must be transmitted and processed immediately when tracing the target. Usually, building such visual servoing systems requires the application of high-cost specialized hardware and the development of complicated visual control software. In this book, a novel real-time visual servo control system is presented. The system uses the stereo vision consisting of two calibrated cameras to acquire images of the target, and applies the continuously adaptive vision tracking algorithm to provide feedbacks of the object's real-time position at a high frame rate; and then employs a robot manipulator controlled by a fuzzy reasoning system to acquire the target. The collision avoidance method is also presented in this book for wheeled mobile robot navigation in indoors environments using feature extracting and matching algorithm. The mobile robot?s direction is dynamically adjusted according to its distance from the target and obstacles. The proposed real-time 3D visual servoing framework can be applied to the unmanned vehicle, robotics control and surveillance.
"Sinopsis" puede pertenecer a otra edición de este libro.
Designing a real-time visual tracking system to perform control is a complex task because of a large amount of streaming video data must be transmitted and processed immediately when tracing the target. Usually, building such visual servoing systems requires the application of high-cost specialized hardware and the development of complicated visual control software. In this book, a novel real-time visual servo control system is presented. The system uses the stereo vision consisting of two calibrated cameras to acquire images of the target, and applies the continuously adaptive vision tracking algorithm to provide feedbacks of the object's real-time position at a high frame rate; and then employs a robot manipulator controlled by a fuzzy reasoning system to acquire the target. The collision avoidance method is also presented in this book for wheeled mobile robot navigation in indoors environments using feature extracting and matching algorithm. The mobile robot?s direction is dynamically adjusted according to its distance from the target and obstacles. The proposed real-time 3D visual servoing framework can be applied to the unmanned vehicle, robotics control and surveillance.
Chao-Ching (Burt) Ho received his B.S. and M.S. from National Taiwan University, in 1995 and 1997, respectively, and his Ph.D in electrical engineering from the National Taiwan University of Science and Technology, 2008. Since 2009, he has been with the Department of Mechanical Engineering, National Yunlin University of Science and Technology.
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Designing a real-time visual tracking system to perform control is a complex task because of a large amount of streaming video data must be transmitted and processed immediately when tracing the target. Usually, building such visual servoing systems requires the application of high-cost specialized hardware and the development of complicated visual control software. In this book, a novel real-time visual servo control system is presented. The system uses the stereo vision consisting of two calibrated cameras to acquire images of the target, and applies the continuously adaptive vision tracking algorithm to provide feedbacks of the object's real-time position at a high frame rate; and then employs a robot manipulator controlled by a fuzzy reasoning system to acquire the target. The collision avoidance method is also presented in this book for wheeled mobile robot navigation in indoors environments using feature extracting and matching algorithm. The mobile robot s direction is dynamically adjusted according to its distance from the target and obstacles. The proposed real-time 3D visual servoing framework can be applied to the unmanned vehicle, robotics control and surveillance. 100 pp. Englisch. Nº de ref. del artículo: 9783838305356
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Librería: moluna, Greven, Alemania
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ho Chao-ChingChao-Ching (Burt) Ho received his B.S. and M.S. from National Taiwan University, in 1995 and 1997, respectively, and his Ph.D in electrical engineering from the National Taiwan University of Science and Technology, 2008. Nº de ref. del artículo: 5411261
Cantidad disponible: Más de 20 disponibles
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Designing a real-time visual tracking system to perform control is a complex task because of a large amount of streaming video data must be transmitted and processed immediately when tracing the target. Usually, building such visual servoing systems requires the application of high-cost specialized hardware and the development of complicated visual control software. In this book, a novel real-time visual servo control system is presented. The system uses the stereo vision consisting of two calibrated cameras to acquire images of the target, and applies the continuously adaptive vision tracking algorithm to provide feedbacks of the object''s real-time position at a high frame rate; and then employs a robot manipulator controlled by a fuzzy reasoning system to acquire the target. The collision avoidance method is also presented in this book for wheeled mobile robot navigation in indoors environments using feature extracting and matching algorithm. The mobile robot's direction is dynamically adjusted according to its distance from the target and obstacles. The proposed real-time 3D visual servoing framework can be applied to the unmanned vehicle, robotics control and surveillance.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 100 pp. Englisch. Nº de ref. del artículo: 9783838305356
Cantidad disponible: 1 disponibles
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Designing a real-time visual tracking system to perform control is a complex task because of a large amount of streaming video data must be transmitted and processed immediately when tracing the target. Usually, building such visual servoing systems requires the application of high-cost specialized hardware and the development of complicated visual control software. In this book, a novel real-time visual servo control system is presented. The system uses the stereo vision consisting of two calibrated cameras to acquire images of the target, and applies the continuously adaptive vision tracking algorithm to provide feedbacks of the object's real-time position at a high frame rate; and then employs a robot manipulator controlled by a fuzzy reasoning system to acquire the target. The collision avoidance method is also presented in this book for wheeled mobile robot navigation in indoors environments using feature extracting and matching algorithm. The mobile robot s direction is dynamically adjusted according to its distance from the target and obstacles. The proposed real-time 3D visual servoing framework can be applied to the unmanned vehicle, robotics control and surveillance. Nº de ref. del artículo: 9783838305356
Cantidad disponible: 1 disponibles
Librería: preigu, Osnabrück, Alemania
Taschenbuch. Condición: Neu. Visual Servoing Control Based Three-Dimensional Tracking | Theory, Algorithms, Practicalities | Chao-Ching Ho | Taschenbuch | 100 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783838305356 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Nº de ref. del artículo: 101455919
Cantidad disponible: 5 disponibles
Librería: Revaluation Books, Exeter, Reino Unido
Paperback. Condición: Brand New. 100 pages. 8.66x5.91x0.23 inches. In Stock. Nº de ref. del artículo: 3838305353
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