Autonomous Driving Perception (Record no. 1611367)

MARC details
000 -LEADER
fixed length control field 02702nam a22003135i 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 231006s2023 si | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789819942879
-- 978-981-99-4287-9
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 629,892
Edition number 23
245 10 - TITLE STATEMENT
Title Autonomous Driving Perception
Medium [electronic resource] :
Remainder of title Fundamentals and Applications /
Statement of responsibility, etc. edited by Rui Fan, Sicen Guo, Mohammud Junaid Bocus.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2023.
260 #1 - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Singapore :
Name of publisher, distributor, etc. Springer Nature Singapore :
-- Imprint: Springer,
Date of publication, distribution, etc. 2023.
300 ## - PHYSICAL DESCRIPTION
Extent X, 387 p. 173 illus., 161 illus. in color.
Other physical details online resource.
490 1# - SERIES STATEMENT
Series statement Advances in Computer Vision and Pattern Recognition,
International Standard Serial Number 2191-6594
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Chapter 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 ## - SUMMARY, ETC.
Summary, etc. 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.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Robotics.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Machine learning.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer vision.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Robotics.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Machine Learning.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer Vision.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Fan, Rui.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 1522387
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Guo, Sicen.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 1522388
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Bocus, Mohammud Junaid.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 1522389
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-981-99-4287-9">https://doi.org/10.1007/978-981-99-4287-9</a>
Materials specified Click Here
887 ## - NON-MARC INFORMATION FIELD
Content of non-MARC field Akhil Chandra Saren
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type E-Books
Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Shelving location Date acquired Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
        National Library of India National Library of India Online Resource 17/04/2024   629,892 EBK000046452ENG 17/04/2024 17/04/2024 E-Books
                                                                           
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