A novel, modular validation framework for collision avoidance of automated vehicles at road junctions


METADATA ONLY

Date

2018

Publication Type

Conference Paper

ETH Bibliography

no

Citations

Altmetric
METADATA ONLY

Data

Rights / License

Abstract

This paper presents a new validation method for automated driving systems at road junctions. The method comprises the clustering of critical traffic scenarios at junctions as well as a simulation and evaluation framework to validate those scenarios. The safety performance indicators selected and implemented in the framework can be seen as a new reference for conducting virtual tests at junctions. The applicability of the framework is demonstrated by an experiment based on a selected car-to-car collision scenario. Considering the current progression of automated transport, this work is highly relevant for virtual testing procedures and is an important step towards approval and certification of automated vehicles.

Permanent link

Publication status

published

Editor

Book title

2018 21st International Conference on Intelligent Transportation Systems (ITSC)

Journal / series

Volume

Pages / Article No.

90 - 97

Publisher

IEEE

Event

21st IEEE International Conference on Intelligent Transportation Systems (ITSC 2018)

Edition / version

Methods

Software

Geographic location

Date collected

Date created

Subject

Junctions; Roads; Safety; Accidents; Computer crashes; Testing; Data models

Organisational unit

08686 - Gruppe Strassenverkehrstechnik check_circle
02655 - Netzwerk Stadt u. Landschaft ARCH u BAUG / Network City and Landscape ARCH and BAUG

Notes

Funding

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