000 | 04989cam a2200457 i 4500 | ||
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003 | OCoLC | ||
005 | 20221102191701.0 | ||
008 | 170208s2017 sz aod b 001 0 eng d | ||
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011 | _aMARC Score : 10800(22400) : OK | ||
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_a3319505491 _qprint |
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_a9783319505497 _qprint |
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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] |
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264 | 4 | _c©2017 | |
300 |
_axiv, 224 pages : _billustrations (chiefly colour), photographs, charts ; _c25 cm |
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336 |
_atext _btxt _2rdacontent |
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337 |
_aunmediated _bn _2rdamedia |
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338 |
_avolume _bnc _2rdacarrier |
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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 |
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650 | 0 |
_aComputer vision. _9315915 |
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830 | 0 |
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