Computer Vision for Driver Assistance : Simultaneous Traffic and Driver Monitoring
Mentés helye:
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| Testületi szerző: | |
| Közreműködő(k): | |
| Különgyűjtemény: | e-book |
| Formátum: | könyv |
| Nyelv: | angol |
| Megjelenés: |
Cham : Springer International Publishing,
2017
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| Sorozat: | Computational Imaging and Vision, ISSN 1381-6446 ; 45. |
| Tárgyszavak: | |
| Online elérés: | https://doi.org/10.1007/978-3-319-50551-0 |
| Címkék: |
Új címke
A tételhez itt fűzhet saját címkét!
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| id |
opac-EUL01-000955609 |
|---|---|
| collection |
e-book |
| institution |
L_042 EUL01 |
| spelling |
Rezaei, Mahdi EUL10001012767 Y Computer Vision for Driver Assistance Simultaneous Traffic and Driver Monitoring by Mahdi Rezaei, Reinhard Klette Cham Springer International Publishing 2017 XVI, 224 p. ill. szöveg txt rdacontent számítógépes c rdamedia távoli hozzáférés cr rdacarrier szövegfájl PDF rda Computational Imaging and Vision 1381-6446 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. . Nyomtatott kiadás: ISBN 9783319505497 Nyomtatott kiadás: ISBN 9783319505503 Nyomtatott kiadás: ISBN 9783319844268 Az e-könyvek a teljes ELTE IP-tartományon belül online elérhetők. könyv e-book számítógépes látás informatika EUL10000467497 Y optikai alakfelismerés EUL10001010632 Y Computer vision. EUL10000467498 Y Optical pattern recognition. EUL10001087156 Y Mathematical Applications in Computer Science. http://scigraph.springernature.com/things/product-market-codes/M13110 Image Processing and Computer Vision. http://scigraph.springernature.com/things/product-market-codes/I22021 Pattern Recognition. http://scigraph.springernature.com/things/product-market-codes/I2203X elektronikus könyv Klette, Reinhard. author. aut http://id.loc.gov/vocabulary/relators/aut SpringerLink (Online service) közreadó testület Computational Imaging and Vision, 1381-6446 ; 45 Online változat https://doi.org/10.1007/978-3-319-50551-0 Cham Springer International Publishing Imprint: Springer 2017 EUL01 |
| language |
English |
| format |
Book |
| author |
Rezaei, Mahdi |
| spellingShingle |
Rezaei, Mahdi Computer Vision for Driver Assistance : Simultaneous Traffic and Driver Monitoring Computational Imaging and Vision, ISSN 1381-6446 ; 45. számítógépes látás -- informatika optikai alakfelismerés Computer vision. Optical pattern recognition. Mathematical Applications in Computer Science. Image Processing and Computer Vision. Pattern Recognition. elektronikus könyv |
| author_facet |
Rezaei, Mahdi Klette, Reinhard., author. SpringerLink (Online service), közreadó testület |
| author2 |
Klette, Reinhard., author. |
| author_corporate |
SpringerLink (Online service), közreadó testület |
| author_sort |
Rezaei, Mahdi |
| title |
Computer Vision for Driver Assistance : Simultaneous Traffic and Driver Monitoring |
| title_sub |
Simultaneous Traffic and Driver Monitoring |
| title_short |
Computer Vision for Driver Assistance |
| title_full |
Computer Vision for Driver Assistance Simultaneous Traffic and Driver Monitoring by Mahdi Rezaei, Reinhard Klette |
| title_fullStr |
Computer Vision for Driver Assistance Simultaneous Traffic and Driver Monitoring by Mahdi Rezaei, Reinhard Klette |
| title_full_unstemmed |
Computer Vision for Driver Assistance Simultaneous Traffic and Driver Monitoring by Mahdi Rezaei, Reinhard Klette |
| title_auth |
Computer Vision for Driver Assistance Simultaneous Traffic and Driver Monitoring |
| title_sort |
computer vision for driver assistance simultaneous traffic and driver monitoring |
| series |
Computational Imaging and Vision, ISSN 1381-6446 ; 45. |
| series2 |
Computational Imaging and Vision, |
| publishDate |
2017 |
| publishDateSort |
2017 |
| physical |
XVI, 224 p. : ill. |
| isbn |
978-3-319-50551-0 |
| issn |
1381-6446 |
| callnumber-raw |
13575 |
| callnumber-search |
13575 |
| topic |
számítógépes látás -- informatika optikai alakfelismerés Computer vision. Optical pattern recognition. Mathematical Applications in Computer Science. Image Processing and Computer Vision. Pattern Recognition. elektronikus könyv |
| topic_facet |
számítógépes látás -- informatika optikai alakfelismerés Computer vision. Optical pattern recognition. Mathematical Applications in Computer Science. Image Processing and Computer Vision. Pattern Recognition. elektronikus könyv számítógépes látás optikai alakfelismerés Computer vision. Optical pattern recognition. Mathematical Applications in Computer Science. Image Processing and Computer Vision. Pattern Recognition. informatika |
| url |
https://doi.org/10.1007/978-3-319-50551-0 |
| illustrated |
Illustrated |
| first_indexed |
2023-12-26T23:18:10Z |
| last_indexed |
2023-12-29T19:19:17Z |
| recordtype |
opac |
| publisher |
Cham : Springer International Publishing |
| _version_ |
1786641340441821185 |
| score |
13,368956 |
| generalnotes |
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. . |