This thesis focuses on a complete color image processing sensor. Lane recognition and object detection are the main tasks to be accomplished by the sensor. It is integrated in a sensor fusion environment in use at Group Research, Volkswagen AG together with radar and lidar sensors. The hardware used is a color camcorder linked to a processing unit (PC) via firewire. The chosen approach is to create an internal representation of the environment which is updated between aquired images. Based on this representation the required 3D output is generated, taking into consideration the camera calibration data. I have tried to approach the subject of image processing in automotive applications using two new directions. One is real time color image processing, where a new segmentation method was introduced. The other is a cognitive approach, in which knowledge over the current situation is used to merge the results of more relatively simple algorithms. The new methods introduced in this work put a basis for a large development direction that should contribute to establishing color image processing in the automotive field.
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Dr. Calin Rotaru received his PhD. from the Department ofComputer Science, University of Hamburg in 2008. His thesis wassupported by Group Research Electronics, Volkswagen. In 2005 hejoined Robert Bosch GmbH. Since then, he worked on multipledriver assistance projects. He is author and coauthor of severalpublications and patents.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This thesis focuses on a complete color image processing sensor. Lane recognition and object detection are the main tasks to be accomplished by the sensor. It is integrated in a sensor fusion environment in use at Group Research, Volkswagen AG together with radar and lidar sensors. The hardware used is a color camcorder linked to a processing unit (PC) via firewire. The chosen approach is to create an internal representation of the environment which is updated between aquired images. Based on this representation the required 3D output is generated, taking into consideration the camera calibration data. I have tried to approach the subject of image processing in automotive applications using two new directions. One is real time color image processing, where a new segmentation method was introduced. The other is a cognitive approach, in which knowledge over the current situation is used to merge the results of more relatively simple algorithms. The new methods introduced in this work put a basis for a large development direction that should contribute to establishing color image processing in the automotive field. 168 pp. Deutsch. Seller Inventory # 9783838107141
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This thesis focuses on a complete color image processing sensor. Lane recognition and object detection are the main tasks to be accomplished by the sensor. It is integrated in a sensor fusion environment in use at Group Research, Volkswagen AG together with. Seller Inventory # 5405101
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This thesis focuses on a complete color image processing sensor. Lane recognition and object detection are the main tasks to be accomplished by the sensor. It is integrated in a sensor fusion environment in use at Group Research, Volkswagen AG together with radar and lidar sensors. The hardware used is a color camcorder linked to a processing unit (PC) via firewire. The chosen approach is to create an internal representation of the environment which is updated between aquired images. Based on this representation the required 3D output is generated, taking into consideration the camera calibration data. I have tried to approach the subject of image processing in automotive applications using two new directions. One is real time color image processing, where a new segmentation method was introduced. The other is a cognitive approach, in which knowledge over the current situation is used to merge the results of more relatively simple algorithms. The new methods introduced in this work put a basis for a large development direction that should contribute to establishing color image processing in the automotive field.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 168 pp. Deutsch. Seller Inventory # 9783838107141
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This thesis focuses on a complete color image processing sensor. Lane recognition and object detection are the main tasks to be accomplished by the sensor. It is integrated in a sensor fusion environment in use at Group Research, Volkswagen AG together with radar and lidar sensors. The hardware used is a color camcorder linked to a processing unit (PC) via firewire. The chosen approach is to create an internal representation of the environment which is updated between aquired images. Based on this representation the required 3D output is generated, taking into consideration the camera calibration data. I have tried to approach the subject of image processing in automotive applications using two new directions. One is real time color image processing, where a new segmentation method was introduced. The other is a cognitive approach, in which knowledge over the current situation is used to merge the results of more relatively simple algorithms. The new methods introduced in this work put a basis for a large development direction that should contribute to establishing color image processing in the automotive field. Seller Inventory # 9783838107141
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Taschenbuch. Condition: Neu. Color Image Processing for Advanced Driver Assistance Systems | Dissertation | Calin Rotaru | Taschenbuch | 168 S. | Deutsch | 2009 | Südwestdeutscher Verlag für Hochschulschriften | EAN 9783838107141 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 101546977
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