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Construction Methods for an Autonomous Driving Map in an Intelligent Network Environment

$10.00
Construction Methods for an Autonomous Driving Map in an Intelligent Network Environment
Full access account to all ebooks! Click for details.

Construction Methods for an Autonomous Driving Map in an Intelligent Network Environment

$10.00

by Zhijun Chen (Author) 

Construction Methods for an Autonomous Driving Map in an Intelligent Network Environment not only supports the development of Intelligent & Connected Transportation, but also promotes the landing application of autonomous driving. Areas covered include the fusion target perception method based on vehicle vision and millimeter wave radar, cross-field of view object perception method, vehicle motion recognition method based on vehicle road fusion information, vehicle trajectory prediction method based on improved hybrid neural network and driving map construction driven by road perception fusion are introduced in this book. Benefiting from the development of computer technique, the advanced machine learning and artificial intelligence theories are used by this book to show readers the construction process of the Autonomous Driving Map.

An Autonomous Driving Map is used for optimization of not only for a single vehicle, but also for the entire traffic system.

Year:
2024
Pages:
188
Language:
English
Format:
PDF
Size:
11 MB
ASIN:
B0CW18VN7X
ISBN-10:
0443273162, 0443273170
ISBN-13:
9780443273162, 9780443273162, 978-0-443-27316-2, 9780443273179, 978-0443273179