A Location Cloud for Highly Automated Driving

被引：3

作者：

Redzic, Ogi ^{[1
]}

Rabel, Dietmar ^{[2
]}

机构：

[1] HERE, 500 W Madison St 32, Chicago, IL 60661 USA

[2] HERE, D-65824 Schwalbach, Germany

来源：

Road Vehicle Automation 2 | 2015年

关键词：

Highly automated driving; Autonomous driving; High definition maps; Location; Vehicle localization; Cloud;

D O I：

10.1007/978-3-319-19078-5_5

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

For highly and, ultimately, fully automated driving to become a reality and gain broad market acceptance, industry participants must resolve three critical technological problems. The first concerns the car's ability to localize itself to centimeter-level precision: 'where exactly am I?' The second relates to the car's ability to recognize and react to events occurring on the road beyond the reach of its onboard sensors: 'what lies ahead?' And the third concerns the car's ability to drive in a way that is acceptable to the car's occupants and other road users: 'how can I get there comfortably?' In this paper, the authors outline the work of their organization, HERE, in developing a location cloud for highly automated driving that offers resolutions to each of these problems.

引用

页码：49 / 60

页数：12

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