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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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Bibliographic Details
Main Author: Chen, Zhijun
Corporate Author: ScienceDirect (Online service)
Format: eBook
Language:English
Published: Amsterdam, Netherlands ; Oxford, United Kingdom ; Cambridge MA : Elsevier, [2024]
Subjects:
Intelligent transportation systems.
Automated vehicles.
Systèmes de transport intelligents.
Véhicules autonomes.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of 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