Data fusion for automated driving: An introduction

被引：5

作者：

Schreier, Matthias ^{[1
]}

机构：

[1] Continental Teves AG & Co oHG, Guerickestr 7, D-60488 Frankfurt, Germany

来源：

AT-AUTOMATISIERUNGSTECHNIK | 2022年 / 70卷 / 03期

关键词：

data fusion; sensor fusion; environment representation; comprehensive environment model; automated driving; INFORMATION FUSION; ARCHITECTURES; MODELS;

D O I：

10.1515/auto-2021-0132

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Data fusion is one of the key ingredients of Advanced Driver Assistance Systems (ADAS) and Automated Driving Systems (ADS). The article provides an introduction into the field by highlighting different possible data fusion categorizations and architectures alongside pros and cons. Benefits, limitations, and pitfalls of exemplary data fusion systems are presented, and the consequences of specific design choices discussed.

引用

页码：221 / 236

页数：16

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