作者：陈志军 著
页数：392
出版社：西南交通大学出版社
出版日期：2023
ISBN：9787564394783
电子书格式：pdf/epub/txt
网盘下载地址：下载智能网联环境下自动驾驶地图构建方法
内容简介
This book focuses on the key technology of automatic driving map construction in an intelligent and connected environment. It aims to improve the stability of autonomous driving of connected and automated vehicles, promote the development of ICTSs, and provide readers with a knowledge system of autonomous driving map construction technologies in an intelligent and connected environment.
This book can be used by teachers and students of colleges and universities,researchers of scientific research institutes, technical personnel of enterprises and institutions, and government administrators engaged in traffic planning, traffic engi-neering, traffic control, and traffic management.
目录
Preface
1 Introduction
1.1 Intelligent networked environment and intelligent networked vehicles
1.2 Overview of target sensing technology based on road sensors
1.3 Development of vehicle motion behavior recognition methods and prediction technology
1.4 Overview of autonomous driving map
2 Fusion target perception method based on vehicle vision and radar
2.1 Fusion theory of vehicle multisource perception information
2.2 Overview of object perception methods based on vehicle perception equipment
2.3 Target perception technology integrating vehicle vision and millimeter-wave radar information
2.4 Chapter summary
3 Crossfield of view object perception method
3.1 Basics of crossfield target perception
3.2 Vehicle target association matching method based on road perception information
3.3 Crossfield of view target re-identification method
4 Vehicle motion recognition method based on vehicle road fusion information
4.1 Theory and method of vehicle road information fusion
4.2 Representation and analysis of vehicle motion state
4.3 Vehicle movement behavior recognition method
4.4 Chapter summary
5 Vehicle trajectory prediction method based on improved hybrid neural network
5.1 Basic theory and characterization methods of vehicle trajectory prediction
5.2 Analysis of spatiotemporal relationship of vehicle trajectory
5.3 Vehicle trajectory prediction model based on improved hybrid neural network
5.4 Chapter summary
6 Driving map construction based on road perception fusion
6.1 Introduction to the theory and method of vehicle road target perception
6.2 Concept and connotation of driving map
6.3 Intelligent vehicle driving map construction based on vehicle-road perception information
6.4 Chapter summary
7 Conclusion
References
Index
