机读格式显示(MARC)
- 000 02469cam a2200397 i 4500
- 008 230608t20232023si a b 000 0 eng d
- 020 __ |a 9789819942862 |q (hardcover)
- 020 __ |a 9819942861 |q (hardcover)
- 020 __ |a 9789819942893 |q (paperback)
- 020 __ |a 9819942896 |q (paperback)
- 020 __ |z 9789819942879 |q (eBook)
- 020 __ |z 981994287X |q (eBook)
- 040 __ |a YDX |b eng |e rda |c YDX |d BDX |d UKMGB |d OCLCF |d OCLCO |d OCLCQ |d INU
- 050 _4 |a TL152.8 |b .A869 2023
- 082 04 |a 629.0460285637 |2 23
- 245 00 |a Autonomous driving perception : |b fundamentals and applications / |c Rui Fan, Sicen Guo, Mohammud Junaid Bocus, editors.
- 260 __ |a Singapore : |b Springer, |c [2023]
- 300 __ |a x, 387 pages : |b illustrations (chiefly colour) ; |c 24 cm.
- 336 __ |a text |b txt |2 rdacontent
- 336 __ |a still image |b sti |2 rdacontent
- 337 __ |a unmediated |b n |2 rdamedia
- 338 __ |a volume |b nc |2 rdacarrier
- 490 1_ |a Advances in computer vision and pattern recognition, |x 2191-6586
- 504 __ |a Includes bibliographical references.
- 520 __ |a "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."-- |c Back cover.
- 650 _0 |a Automated vehicles |x Technological innovations.
- 650 _0 |a Computer vision.
- 700 1_ |a Fan, Rui |c (College teacher), |e editor.
- 700 1_ |a Guo, Sicen, |d active 2023, |e editor.
- 700 1_ |a Bocus, Mohammud Junaid, |e editor.
- 830 _0 |a Advances in computer vision and pattern recognition.