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Antonio M. L Pez - Computer Vision in Vehicle Technology: Land, Sea, and Air - 9781118868072 - V9781118868072
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Computer Vision in Vehicle Technology: Land, Sea, and Air

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Description for Computer Vision in Vehicle Technology: Land, Sea, and Air Hardback. Computer Vision in Vehicle Technology: Land, Sea & Air Antonio M. Lopez, Universitat Autonoma de Barcelona, Spain Atsushi Imiya, Chiba University, Japan Tomas Pajdla, Czech Technical University, Prague Jose M. Editor(s): Lopez, Antonio M.; Imiya, Atsushi; Pajdla, Tomas; Alvarez, Jose M. Num Pages: 216 pages. BIC Classification: TJ; TR; UYQV. Category: (P) Professional & Vocational. Dimension: 244 x 170. .
A unified view of the use of computer vision technology for different types of vehicles Computer Vision in Vehicle Technology focuses on computer vision as on-board technology, bringing together fields of research where computer vision is progressively penetrating: the automotive sector, unmanned aerial and underwater vehicles. It also serves as a reference for researchers of current developments and challenges in areas of the application of computer vision, involving vehicles such as advanced driver assistance (pedestrian detection, lane departure warning, traffic sign recognition), autonomous driving and robot navigation (with visual simultaneous localization and mapping) or unmanned aerial vehicles (obstacle avoidance, landscape ... Read more

Product Details

Publisher
John Wiley & Sons Inc
Format
Hardback
Publication date
2017
Condition
New
Number of Pages
216
Place of Publication
New York, United States
ISBN
9781118868072
SKU
V9781118868072
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50

About Antonio M. L Pez
Dr. Antonio M. Lopez is the head of the Advanced Driver Assistance Systems (ADAS) Group of the Computer Vision Center (CVC), and Associate Professor of the Computer Science Department, both from the Universitat Autonoma de Barcelona (UAB). Antonio received a BSc degree in Computer Science from the Universitat Politecnica de Catalunya (UPC) and a PhD degree in Computer Vision ... Read more

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