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Autonomous Driving Perception

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Autonomous Driving Perception Synopsis

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.

About This Edition

ISBN: 9789819942893
Publication date:
Author: Rui Fan, Sicen Guo, Mohammud Junaid Bocus
Publisher: Springer an imprint of Springer Nature Singapore
Format: Paperback
Pagination: 387 pages
Series: Advances in Computer Vision and Pattern Recognition
Genres: Robotics
Machine learning
Computer vision
Artificial intelligence

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