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001482291 001__ 1482291
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001482291 019__ $$a1402200097
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001482291 020__ $$a981994287X$$q(electronic bk.)
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001482291 0247_ $$a10.1007/978-981-99-4287-9$$2doi
001482291 035__ $$aSP(OCoLC)1402041977
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001482291 050_4 $$aTL152.8
001482291 08204 $$a629.04/60285637$$223/eng/20231010
001482291 24500 $$aAutonomous driving perception :$$bfundamentals and applications /$$cRui Fan, Sicen Guo, Mohammud Junaid Bocus, editors.
001482291 264_1 $$aSingapore :$$bSpringer,$$c[2023]
001482291 264_4 $$c©2023
001482291 300__ $$a1 online resource (x, 387 pages) :$$billustrations (chiefly color).
001482291 336__ $$atext$$btxt$$2rdacontent
001482291 337__ $$acomputer$$bc$$2rdamedia
001482291 338__ $$aonline resource$$bcr$$2rdacarrier
001482291 4901_ $$aAdvances in computer vision and pattern recognition
001482291 5050_ $$aChapter 1: Key Ingredients of Self-Driving Cars -- Chapter 2: Advanced Sensors for Next-Generation Autonomous Vehicles -- Chapter 3: Recent Advances in Multi-Camera and Camera-LIDAR Calibration -- Chapter 4: Deep Optical Flow for Autonomous Driving: A Review -- Chapter 5: Computer Stereo Vision for Autonomous Driving Perpection: From Explicit Programming to Deep Learning -- Chapter 6: Deep Monocular Depth Estimation for Autonomous Driving -- .
001482291 506__ $$aAccess limited to authorized users.
001482291 520__ $$aDiscover the captivating world of computer vision and deep learning for autonomous driving with our comprehensive and in-depth guide. Immerse yourself in an in-depth exploration of cutting-edge topics, carefully crafted to engage tertiary students and ignite the curiosity of researchers and professionals in the field. From fundamental principles to practical applications, this comprehensive guide offers a gentle introduction, expert evaluations of state-of-the-art methods, and inspiring research directions. With a broad range of topics covered, it is also an invaluable resource for university programs offering computer vision and deep learning courses. This book provides clear and simplified algorithm descriptions, making it easy for beginners to understand the complex concepts. We also include carefully selected problems and examples to help reinforce your learning. Don't miss out on this essential guide to computer vision and deep learning for autonomous driving.
001482291 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed October 10, 2023).
001482291 650_6 $$aVéhicules autonomes$$xInnovations.
001482291 650_6 $$aVision par ordinateur.
001482291 650_0 $$aAutomated vehicles$$xTechnological innovations.$$0(DLC)sh2014001434
001482291 650_0 $$aComputer vision.$$vCongresses$$0(DLC)sh2008101162
001482291 655_0 $$aElectronic books.
001482291 7001_ $$aFan, Rui,$$eeditor.
001482291 7001_ $$aGuo, Sicen,$$eeditor.
001482291 7001_ $$aBocus, Mohammud Junaid,$$eeditor.
001482291 77608 $$iPrint version: $$z9819942861$$z9789819942862$$w(OCoLC)1381295891
001482291 830_0 $$aAdvances in computer vision and pattern recognition.
001482291 852__ $$bebk
001482291 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-99-4287-9$$zOnline Access$$91397441.1
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