000 04989cam a2200457 i 4500
003 OCoLC
005 20221102191701.0
008 170208s2017 sz aod b 001 0 eng d
011 _aBIB MATCHES WORLDCAT
011 _aMARC Score : 10800(22400) : OK
011 _aDirect Search Result
011 _aHas 9 WorldCat Holdings
020 _a3319505491
_qprint
020 _a9783319505497
_qprint
035 _a(ATU)b1983004x
035 _a(OCoLC)976193462
040 _aN$T
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050 4 _aTL272.57
082 0 4 _a629.27
_223
100 1 _aRezaei, Mahdi,
_eauthor.
245 1 0 _aComputer vision for driver assistance :
_bsimultaneous traffic and driver monitoring /
_cMahdi Rezaei, Reinhard Klette.
246 3 0 _aSimultaneous traffic and driver monitoring
264 1 _aCham, Switzerland :
_bSpringer,
_c[2017]
264 4 _c©2017
300 _axiv, 224 pages :
_billustrations (chiefly colour), photographs, charts ;
_c25 cm
336 _atext
_btxt
_2rdacontent
337 _aunmediated
_bn
_2rdamedia
338 _avolume
_bnc
_2rdacarrier
490 1 _aComputational imaging and vision,
_x1381-6446 ;
_vvolume 45
504 _aIncludes bibliographical references and index.
505 0 0 _tPreface --
_g1.
_tVision-Based Driver-Assistance Systems --
_g1.1.
_tDriver-Assistance Towards Autonomous Driving --
_g1.2.
_tSensors --
_g1.3.
_tVision-Based Driver Assistance --
_g1.4.
_tSafety and Comfort Functionalities --
_g1.5.
_tVB-DAS Examples --
_g1.6.
_tCurrent Developments --
_g1.7.
_tScope of the Book --
_g2.
_tDriver-Environment Understanding --
_g2.1.
_tDriver and Environment --
_g2.2.
_tDriver Monitoring --
_g2.3.
_tBasic Environment Monitoring --
_g2.4.
_tMidlevel Environment Perception --
_g3.
_tComputer Vision Basics --
_g3.1.
_tImage Notations --
_g3.2.
_tThe Integral Image --
_g3.3.
_tRGB to HSV Conversion --
_g3.4.
_tLine Detection by Hough Transform --
_g3.5.
_tCameras --
_g3.6.
_tStereo Vision and Energy Optimization --
_g3.7.
_tStereo Matching --
_g4.
_tObject Detection, Classification, and Tracking --
_g4.1.
_tObject Detection and Classification --
_g4.2.
_tSupervised Classification Techniques --
_g4.3.
_tUnsupervised Classification Techniques --
_g4.4.
_tObject Tracking --
_g5.
_tDriver Drowsiness Detection --
_g5.1.
_tIntroduction --
_g5.2.
_tTraining Phase: The Dataset --
_g5.3.
_tBoosting Parameters --
_g5.4.
_tApplication Phase: Brief Ideas --
_g5.5.
_tAdaptive Classifier --
_g5.6.
_tTracking and Search Minimization --
_g5.7.
_tPhase-Preserving Denoising --
_g5.8.
_tGlobal Haar-Like Features --
_g5.9.
_tBoosting Cascades with Local and Global Features --
_g5.10.
_tExperimental Results --
_g5.11.
_tConcluding Remarks --
_g6.
_tDriver Inattention Detection --
_g6.1.
_tIntroduction --
_g6.2.
_tAsymmetric Appearance Models --
_g6.3.
_tDriver's Head-Pose and Gaze Estimation --
_g6.4.
_tExperimental Results --
_g6.5.
_tConcluding Remarks --
_g7.
_tVehicle Detection and Distance Estimation --
_g7.1.
_tIntroduction --
_g7.2.
_tOverview of Methodology --
_g7.3.
_tAdaptive Global Haar Classifier --
_g7.4.
_tLine and Corner Features --
_g7.5.
_tDetection Based on Taillights --
_g7.6.
_tData Fusion and Temporal Information --
_g7.7.
_tInter-vehicle Distance Estimation --
_g7.8.
_tExperimental Results --
_g8.
_tFuzzy Fusion for Collision Avoidance --
_g8.1.
_tIntroduction --
_g8.2.
_tSystem Components --
_g8.3.
_tFuzzifier and Membership Functions --
_g8.4.
_tFuzzy Interference and Fusion Engine --
_g8.5.
_tDefuzzification --
_g8.6.
_tExperimental Results --
_g8.7.
_tConcluding Remarks --
_tBibliography --
_tIndex.
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."--Publisher's website.
650 0 _aDriver assistance systems.
_9342761
650 0 _aComputer vision.
_9315915
700 1 _aKlette, Reinhard,
_eauthor.
_9286426
830 0 _aComputational imaging and vision ;
_vv. 45.
_91046302
907 _a.b1983004x
_b06-09-21
_c15-02-17
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