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 in modern vehicle designVision-Based Driver-Assistance Systems -- Driver-Environment Understanding -- Computer Vision Basics -- Object Detection, Classification, and Tracking -- Driver Drowsiness Detection -- Driver Inattention Detection -- Vehicle Detection and Distance Estimation -- Fuzzy Fusion for Collision Avoidance
Computer Vision for Driver Assistance : Simultaneous Traffic and Driver Monitoring
2017
Online-Ressource (XIV, 224 p. 139 illus., 137 illus. in color, online resource)
Book
Electronic Resource
English
Erratum to: Computer Vision for Driver Assistance: Simultaneous Traffic and Driver Monitoring
Springer Verlag | 2017
|Vision Based Driver Assistance in Urban Traffic
British Library Conference Proceedings | 2000
|Computer vision for driver assistance systems
SPIE | 1998
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