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Construction method of autonomous driving map in intelligent network environment智能网联环境下自动驾驶地图构建方法


Construction method of autonomous driving map in intelligent network environment智能网联环境下自动驾驶地图构建方法

作  者:陈志军

出 版 社:西南交通大学出版社

出版时间:2024年05月

定  价:68.00

I S B N :9787564394783

所属分类: 专业科技  >  工业技术  >  汽车与交通运输    

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智能网联环境作为智能网联交通系统的基础支撑,已成为交通运输领域高等院校、科研院所、企事业单位及政府共同关注的研究热点。自动驾驶地图是智能网联环境下现代高新技术与交通运输行业、汽车行业、信息行业深度融合的产物,也是智能网联汽车发展与应用推广的核心技术。虽然近些年智能网联交通系统的研究已经很多,但是对于自动驾驶地图构建尚处于起步阶段。本书以智能网联环境下自动驾驶地图构建的关键技术为主线,旨在提升智能网联汽车自动驾驶的稳定性,推动智能网联交通系统的发展,从车载感知融合、跨路侧视野、运动识别、轨迹预测与地图构建五个层次展开叙述,重点向读者诠释智能网联环境下自动驾驶地图构建过程,从介绍各层次之间共性的、基础的知识到呈现各层次最新理论研究与关键技术发展,为读者提供智能网联环境下自动驾驶地图构建技术的知识体系。

TOP目录

About the author

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

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装  帧:平装-胶订

开  本:16开

纸  张:胶版纸

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