國立虎尾科技大學 |

Computer vision for driver assistance = simultaneous traffic and driver monitoring /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Computer vision for driver assistance/ by Mahdi Rezaei, Reinhard Klette.
Reminder of title:	simultaneous traffic and driver monitoring /
Author:	Rezaei, Mahdi.
other author:	Klette, Reinhard.
Published:	Cham :Springer International Publishing : : 2017.,
Description:	xiv, 224 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
Subject:	Driver assistance systems. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-50551-0
ISBN:	9783319505510

Computer vision for driver assistance = simultaneous traffic and driver monitoring /
Rezaei, Mahdi.

Computer vision for driver assistancesimultaneous traffic and driver monitoring /[electronic resource] :by Mahdi Rezaei, Reinhard Klette. - Cham :Springer International Publishing :2017. - xiv, 224 p. :ill., digital ;24 cm. - Computational imaging and vision,v.451381-6446 ;. - Computational imaging and vision ;v.41..

Vision-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.

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 design.

ISBN: 9783319505510

Standard No.: 10.1007/978-3-319-50551-0doiSubjects--Topical Terms:

891353
Driver assistance systems.

LC Class. No.: TL272.57

Dewey Class. No.: 629.27

Computer vision for driver assistance = simultaneous traffic and driver monitoring /
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520 $a 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 design.
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