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| 001 | 978-981-99-4287-9 | ||
| 003 | DE-He213 | ||
| 005 | 20240423130143.0 | ||
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| 008 | 231006s2023 si | s |||| 0|eng d | ||
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_a10.1007/978-981-99-4287-9 _2doi |
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_a629.892 _223 |
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_aAutonomous Driving Perception _h[electronic resource] : _bFundamentals and Applications / _cedited by Rui Fan, Sicen Guo, Mohammud Junaid Bocus. |
| 250 | _a1st ed. 2023. | ||
| 264 | 1 |
_aSingapore : _bSpringer Nature Singapore : _bImprint: Springer, _c2023. |
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| 300 |
_aX, 387 p. 173 illus., 161 illus. in color. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 490 | 1 |
_aAdvances in Computer Vision and Pattern Recognition, _x2191-6594 |
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| 505 | 0 | _aChapter 1: Key Ingredients of Self-Driving Cars -- Chapter 2: Advanced Sensors for Next-Generation Autonomous Vehicles -- Chapter 3: Recent Advances in Multi-Camera and Camera-LIDAR Calibration -- Chapter 4: Deep Optical Flow for Autonomous Driving: A Review -- Chapter 5: Computer Stereo Vision for Autonomous Driving Perpection: From Explicit Programming to Deep Learning -- Chapter 6: Deep Monocular Depth Estimation for Autonomous Driving -- . | |
| 520 | _aDiscover the captivating world of computer vision and deep learning for autonomous driving with our comprehensive and in-depth guide. Immerse yourself in an in-depth exploration of cutting-edge topics, carefully crafted to engage tertiary students and ignite the curiosity of researchers and professionals in the field. From fundamental principles to practical applications, this comprehensive guide offers a gentle introduction, expert evaluations of state-of-the-art methods, and inspiring research directions. With a broad range of topics covered, it is also an invaluable resource for university programs offering computer vision and deep learning courses. This book provides clear and simplified algorithm descriptions, making it easy for beginners to understand the complex concepts. We also include carefully selected problems and examples to help reinforce your learning. Don't miss out on this essential guide to computer vision and deep learning for autonomous driving. | ||
| 650 | 0 | _aRobotics. | |
| 650 | 0 | _aMachine learning. | |
| 650 | 0 | _aComputer vision. | |
| 650 | 1 | 4 | _aRobotics. |
| 650 | 2 | 4 | _aMachine Learning. |
| 650 | 2 | 4 | _aComputer Vision. |
| 700 | 1 |
_aFan, Rui. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aGuo, Sicen. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 700 | 1 |
_aBocus, Mohammud Junaid. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9789819942862 |
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_iPrinted edition: _z9789819942886 |
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_iPrinted edition: _z9789819942893 |
| 830 | 0 |
_aAdvances in Computer Vision and Pattern Recognition, _x2191-6594 |
|
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-981-99-4287-9 |
| 912 | _aZDB-2-SCS | ||
| 912 | _aZDB-2-SXCS | ||
| 942 | _cSPRINGER | ||
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