東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Computer vision for driver assistanc...

Rezaei, Mahdi.

Linked to FindBook

Google Book

Amazon

博客來

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

Record Type:	Electronic resources : 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.
[NT 15003449]:	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.
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.45..

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:

1569172
Driver assistance systems.

LC Class. No.: TL272.57

Dewey Class. No.: 629.27

Computer vision for driver assistance = simultaneous traffic and driver monitoring /
LDR:02337nmm a2200325 a 4500 001 2090106
003 DE-He213
005 20170206112307.0
006 m d
007 cr nn 008maaau
008 171013s2017 gw s 0 eng d
020 $a 9783319505510 $q (electronic bk.)
020 $a 9783319505497 $q (paper)
024 7 $a 10.1007/978-3-319-50551-0 $2 doi
035 $a 978-3-319-50551-0
040 $a GP $c GP
041 0 $a eng
050 4 $a TL272.57
072 7 $a PBWH $2 bicssc
072 7 $a MAT003000 $2 bisacsh
082 0 4 $a 629.27 $2 23
090 $a TL272.57 $b .R467 2017
100 1 $a Rezaei, Mahdi. $3 3221305
245 1 0 $a Computer vision for driver assistance $h [electronic resource] : $b simultaneous traffic and driver monitoring / $c by Mahdi Rezaei, Reinhard Klette.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2017.
300 $a xiv, 224 p. : $b ill., digital ; $c 24 cm.
490 1 $a Computational imaging and vision, $x 1381-6446 ; $v v.45
505 0 $a 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.
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.
650 0 $a Driver assistance systems. $3 1569172
650 0 $a Computer vision. $3 540671
650 1 4 $a Mathematics. $3 515831
650 2 4 $a Mathematical Applications in Computer Science. $3 1567978
650 2 4 $a Image Processing and Computer Vision. $3 891070
650 2 4 $a Pattern Recognition. $3 891045
700 1 $a Klette, Reinhard. $3 698784
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Computational imaging and vision ; $v v.45. $3 3221306
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-50551-0
950 $a Computer Science (Springer-11645)