Construction Methods for an Autonomous Driving Map in an Intelligent Network Environment / Zhijun Chen.

Format:

Book

Author/Creator:

Chen, Zhijun.

Contributor:

ScienceDirect (Online service)

Language:

English

Subjects (All):

Intelligent transportation systems.

Automated vehicles.

Physical Description:

1 online resource (197 p.)

Place of Publication:

Amsterdam, Netherlands ; Oxford, United Kingdom ; Cambridge MA : Elsevier, [2024]

Contents:

Front Cover

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

Copyright Page

Contents

About the author

Preface

1 Introduction

1.1 Intelligent networked environment and intelligent networked vehicles

1.1.1 History of intelligent connected environment

1.1.2 Composition and characteristics of intelligent network environment

1.1.3 Connotation of intelligent networked vehicles

1.1.4 Development status of intelligent connected vehicles

1.1.5 Development status of intelligent transportation system

1.1.6 Smart ethical norm challenges

1.2 Overview of target sensing technology based on road sensors

1.2.1 Perception technology based on in-vehicle perception devices

1.2.2 Perception technology based on roadside sensing devices

1.2.3 Development status and trend of collaborative sensing technology

1.2.3.1 Collaborative perception information sharing

1.2.3.2 Collaborative perception information fusion

1.3 Development of vehicle motion behavior recognition methods and prediction technology

1.3.1 Connotation and significance of vehicle motion behavior recognition

1.3.2 Development status of vehicle motion behavior recognition methods

1.3.3 Development status of vehicle motion behavior prediction methods

1.4 Overview of autonomous driving map

1.4.1 Concept and connotation of autonomous driving map

1.4.2 Composition and application of autonomous driving maps

1.4.2.1 Environment perception level

1.4.2.2 Decision planning level

1.4.2.3 Control execution level

1.4.3 Status and trends of autonomous driving map development

1.4.3.1 Enhancement of high-precision maps

1.4.3.2 Real-time update and dynamic maps

1.4.3.3 Multisource data fusion

1.4.3.4 Semantic understanding and contextual awareness

1.4.3.5 Cloud map service

1.4.3.6 Global standardization

1.4.4 Bottleneck problems and solutions

1.4.4.1 Lack of unified top-level standards and specifications

1.4.4.2 Lack of mature theory and technical support

1.4.5 Implementation path for the above problems

1.4.5.1 Building standards, specifications, and system frameworks related to intelligent connected environment and intellig...

1.4.6 Carrying out technical research on bottleneck problems

1.4.6.1 Strengthening multidisciplinary and cross-industry cooperation and giving full play to the advantages of industry, ...

1.4.6.2 Cross-industry and multiindustry collaborative research

2 Fusion target perception method based on vehicle vision and radar

2.1 Fusion theory of vehicle multisource perception information

2.1.1 Basis of vehicle multisource perception information fusion

2.1.2 Fusion method and application of vehicle multisource perception information

2.1.2.1 Fusion strategy based on distinguishable units

2.1.2.2 Fusion strategy based on complementary features

Notes:

Includes bibliographical references and index.

2.1.2.2.1 Target parameter extraction

Electronic reproduction. Amsterdam Available via World Wide Web.

Description based on online resource; title from digital title page (viewed on September 27, 2024).

Other Format:

Print version: Chen, Zhijun Construction Methods for an Autonomous Driving Map in an Intelligent Network Environment

ISBN:

9780443273179

0443273170

Publisher Number:

90100211240

Access Restriction:

Restricted for use by site license.