Computer Vision for Driver Assistance

Computer Vision for Driver Assistance

EnglishHardbackPrint on demand
Rezaei, Mahdi
Springer, Berlin
EAN: 9783319505497
Print on demand
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Detailed information

This book summarises the state of the art in computer vision-based driver and road monitoring, focussing on monocular vision technology in particular, with the aim to address challenges of driver assistance and autonomous driving systems.

While the systems designed for the assistance of drivers of on-road vehicles are currently converging to the design of autonomous vehicles, the research presented here focuses on scenarios where a driver is still assumed to pay attention to the traffic while operating a partially automated vehicle. Proposing various computer vision algorithms, techniques and methodologies, the authors also provide a general review of computer vision technologies that are relevant for driver assistance and fully autonomous vehicles.

Computer Vision for Driver Assistance is the first book of its kind and will appeal to undergraduate and graduate students, researchers, engineers and those generally interested in computer vision-related topics inmodern vehicle design. 

EAN 9783319505497
ISBN 3319505491
Binding Hardback
Publisher Springer, Berlin
Publication date February 15, 2017
Pages 224
Language English
Dimensions 235 x 155
Country Switzerland
Readership Professional & Scholarly
Authors Klette Reinhard; Rezaei, Mahdi
Illustrations 137 Illustrations, color; 2 Illustrations, black and white
Edition 1st ed. 2017
Series Computational Imaging and Vision
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