Positional Accuracy Provided by State-of-the-Art Cooperative Awareness and Collective Perception

被引：0

作者：

Pilz, Christoph ^{[1
,2
]}

Steinberger, Alina ^{[1
,2
]}

Kuschnig, Lukas ^{[2
]}

Schratter, Markus ^{[1
,2
]}

Neumayr, Thomas ^{[2
]}

Steinbauer-Wagner, Gerald ^{[1
]}

机构：

[1] Graz Univ Technol, Graz, Austria

[2] Virtual Vehicle Res GmbH, Graz, Austria

来源：

2023 IEEE 26TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS, ITSC | 2023年

关键词：

D O I：

10.1109/ITSC57777.2023.10422653

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Cooperative awareness (CA) and collective perception (CP) deal with the exchange of perception data within vehicle-to-everything (V2X). The achievable and needed accuracy is not yet analyzed in detail. The baseline for accuracy is the data from simulations, recommendations provided by standards, or various perception datasets with a disconnect between localization accuracy and perception accuracy. We extended a state-of-the-art (SOTA) automated driving (AD) platform with CA/CP functionality in our work. We then deployed it on two street-legal AD demonstrators (ADDs) and did an extensive field test to acquire data. With the data, we show the achievable accuracy of SOTA systems and discuss the requirements for future implementations.

引用

页码：541 / 548

页数：8

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