LEADER 03684nam 22006135 450 001 9910163995003321 005 20200630134142.0 010 $a3-319-50551-3 024 7 $a10.1007/978-3-319-50551-0 035 $a(CKB)3710000001051385 035 $a(DE-He213)978-3-319-50551-0 035 $a(MiAaPQ)EBC4800440 035 $a(PPN)198868979 035 $a(EXLCZ)993710000001051385 100 $a20170206d2017 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aComputer Vision for Driver Assistance $eSimultaneous Traffic and Driver Monitoring /$fby Mahdi Rezaei, Reinhard Klette 205 $a1st ed. 2017. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017. 215 $a1 online resource (XIV, 224 p. 139 illus., 137 illus. in color.) 225 1 $aComputational Imaging and Vision,$x1381-6446 ;$v45 311 $a3-319-50549-1 320 $aIncludes bibliographical references and index. 327 $aVision-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. 330 $aThis book summarises the state of the art in computer vision-based driver and road monitoring, focussing on monocular vision technology in particular, with the aim to address challenges of driver assistance and autonomous driving systems. While the systems designed for the assistance of drivers of on-road vehicles are currently converging to the design of autonomous vehicles, the research presented here focuses on scenarios where a driver is still assumed to pay attention to the traffic while operating a partially automated vehicle. Proposing various computer vision algorithms, techniques and methodologies, the authors also provide a general review of computer vision technologies that are relevant for driver assistance and fully autonomous vehicles. Computer Vision for Driver Assistance is the first book of its kind and will appeal to undergraduate and graduate students, researchers, engineers and those generally interested in computer vision-related topics in modern vehicle design. . 410 0$aComputational Imaging and Vision,$x1381-6446 ;$v45 606 $aComputer science?Mathematics 606 $aComputer mathematics 606 $aOptical data processing 606 $aPattern recognition 606 $aMathematical Applications in Computer Science$3https://scigraph.springernature.com/ontologies/product-market-codes/M13110 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 606 $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 615 0$aComputer science?Mathematics. 615 0$aComputer mathematics. 615 0$aOptical data processing. 615 0$aPattern recognition. 615 14$aMathematical Applications in Computer Science. 615 24$aImage Processing and Computer Vision. 615 24$aPattern Recognition. 676 $a510 700 $aRezaei$b Mahdi$4aut$4http://id.loc.gov/vocabulary/relators/aut$01060339 702 $aKlette$b Reinhard$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910163995003321 996 $aComputer Vision for Driver Assistance$92512550 997 $aUNINA