Construction Methods for an Autonomous Driving Map in an Intelligent Network Environment /
This book, authored by Zhijun Chen, delves into the construction of autonomous driving maps within an intelligent and connected environment. It explores the integration of modern high technology with the automotive and information industries, focusing on key technologies that enhance the stability a...
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| Autore principale: | |
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| Natura: | Elettronico eBook |
| Lingua: | inglese |
| Pubblicazione: |
Amsterdam, Netherlands ; Oxford, United Kingdom ; Cambridge MA :
Elsevier,
[2024]
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| Soggetti: | |
| Accesso online: | ScienceDirect |
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| Riassunto: | This book, authored by Zhijun Chen, delves into the construction of autonomous driving maps within an intelligent and connected environment. It explores the integration of modern high technology with the automotive and information industries, focusing on key technologies that enhance the stability and development of autonomous vehicles. The book covers topics such as vehicle-road perception, vehicle motion recognition, and trajectory prediction using advanced neural networks. It aims to optimize traffic systems and promote the application of autonomous driving technology on a large scale. Intended for researchers, students, and professionals in traffic engineering and management, it provides a comprehensive knowledge system for constructing autonomous driving maps, contributing to safer and more efficient travel services. |
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| Descrizione del documento: | 2.1.2.2.1 Target parameter extraction |
| Descrizione fisica: | 1 online resource (197 p.) |
| Bibliografia: | Includes bibliographical references and index. |
| ISBN: | 9780443273179 0443273170 |