Fan / Guo / Bocus

Autonomous Driving Perception

Fundamentals and Applications

Springer

ISBN 9789819942893

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Bibliografische Daten

Fachbuch

Buch. Softcover

2024

12 s/w-Abbildungen, 161 Farbabbildungen.

In englischer Sprache

Umfang: x, 387 S.

Format (B x L): 15,5 x 23,5 cm

Verlag: Springer

ISBN: 9789819942893

Weiterführende bibliografische Daten

Produktbeschreibung

Discover 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.

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Kundeninformationen

Discover the ultimate guide that takes you through the most recent breakthroughs in computer vision This comprehensive book goes beyond the basics, immersing you in the world of machine vision and intelligence Delve into the depths of cutting-edge perception algorithms, as we provide in-depth and state-of-the-art reviews

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