CommonRoad-CriMe: A Toolbox for Criticality Measures of Autonomous Vehicles

Yuanfei Lin; Matthias Althoff

doi:10.1109/IV55152.2023.10186673

CommonRoad-CriMe: A Toolbox for Criticality Measures of Autonomous Vehicles

Yuanfei Lin
, Matthias Althoff

Informatics 6 - Associate Professorship of Cyber Physical Systems

Technical University of Munich

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

29 Scopus citations

Abstract

Criticality measures are essential for autonomous vehicles to capture the complexity of the surrounding environment, trigger emergency maneuvers, and verify safety. However, there is currently no publicly available toolbox that allows researchers to use or evaluate a large number of criticality measures on arbitrary traffic scenarios. To address this issue, we present CommonRoad-CriMe, an open-source toolbox for measuring the criticality of autonomous vehicles in a unified framework. Our toolbox covers a wide range of state-of-the-art criticality measures and provides visualized information to facilitate debugging and showcasing. Numerical experiments demonstrate how our toolbox facilitates the comparison of different criticality measures and the analysis of traffic conflicts. Our toolbox is available at commonroad.in.tum.de.

Original language	English
Title of host publication	IV 2023 - IEEE Intelligent Vehicles Symposium, Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350346916
DOIs	https://doi.org/10.1109/IV55152.2023.10186673
State	Published - 2023
Event	34th IEEE Intelligent Vehicles Symposium, IV 2023 - Anchorage, United States Duration: 4 Jun 2023 → 7 Jun 2023

Publication series

Name	IEEE Intelligent Vehicles Symposium, Proceedings
Volume	2023-June

Conference

Conference	34th IEEE Intelligent Vehicles Symposium, IV 2023
Country/Territory	United States
City	Anchorage
Period	4/06/23 → 7/06/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 16 Peace, Justice and Strong Institutions

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10.1109/IV55152.2023.10186673

Cite this

@inproceedings{9f6ad285dee04cd9922196e84f223c1f,

title = "CommonRoad-CriMe: A Toolbox for Criticality Measures of Autonomous Vehicles",

abstract = "Criticality measures are essential for autonomous vehicles to capture the complexity of the surrounding environment, trigger emergency maneuvers, and verify safety. However, there is currently no publicly available toolbox that allows researchers to use or evaluate a large number of criticality measures on arbitrary traffic scenarios. To address this issue, we present CommonRoad-CriMe, an open-source toolbox for measuring the criticality of autonomous vehicles in a unified framework. Our toolbox covers a wide range of state-of-the-art criticality measures and provides visualized information to facilitate debugging and showcasing. Numerical experiments demonstrate how our toolbox facilitates the comparison of different criticality measures and the analysis of traffic conflicts. Our toolbox is available at commonroad.in.tum.de.",

author = "Yuanfei Lin and Matthias Althoff",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 34th IEEE Intelligent Vehicles Symposium, IV 2023 ; Conference date: 04-06-2023 Through 07-06-2023",

year = "2023",

doi = "10.1109/IV55152.2023.10186673",

language = "English",

series = "IEEE Intelligent Vehicles Symposium, Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "IV 2023 - IEEE Intelligent Vehicles Symposium, Proceedings",

}

Lin, Y & Althoff, M 2023, CommonRoad-CriMe: A Toolbox for Criticality Measures of Autonomous Vehicles. in IV 2023 - IEEE Intelligent Vehicles Symposium, Proceedings. IEEE Intelligent Vehicles Symposium, Proceedings, vol. 2023-June, Institute of Electrical and Electronics Engineers Inc., 34th IEEE Intelligent Vehicles Symposium, IV 2023, Anchorage, United States, 4/06/23. https://doi.org/10.1109/IV55152.2023.10186673

CommonRoad-CriMe: A Toolbox for Criticality Measures of Autonomous Vehicles. / Lin, Yuanfei; Althoff, Matthias.
IV 2023 - IEEE Intelligent Vehicles Symposium, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2023. (IEEE Intelligent Vehicles Symposium, Proceedings; Vol. 2023-June).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - CommonRoad-CriMe

T2 - 34th IEEE Intelligent Vehicles Symposium, IV 2023

AU - Lin, Yuanfei

AU - Althoff, Matthias

PY - 2023

Y1 - 2023

N2 - Criticality measures are essential for autonomous vehicles to capture the complexity of the surrounding environment, trigger emergency maneuvers, and verify safety. However, there is currently no publicly available toolbox that allows researchers to use or evaluate a large number of criticality measures on arbitrary traffic scenarios. To address this issue, we present CommonRoad-CriMe, an open-source toolbox for measuring the criticality of autonomous vehicles in a unified framework. Our toolbox covers a wide range of state-of-the-art criticality measures and provides visualized information to facilitate debugging and showcasing. Numerical experiments demonstrate how our toolbox facilitates the comparison of different criticality measures and the analysis of traffic conflicts. Our toolbox is available at commonroad.in.tum.de.

AB - Criticality measures are essential for autonomous vehicles to capture the complexity of the surrounding environment, trigger emergency maneuvers, and verify safety. However, there is currently no publicly available toolbox that allows researchers to use or evaluate a large number of criticality measures on arbitrary traffic scenarios. To address this issue, we present CommonRoad-CriMe, an open-source toolbox for measuring the criticality of autonomous vehicles in a unified framework. Our toolbox covers a wide range of state-of-the-art criticality measures and provides visualized information to facilitate debugging and showcasing. Numerical experiments demonstrate how our toolbox facilitates the comparison of different criticality measures and the analysis of traffic conflicts. Our toolbox is available at commonroad.in.tum.de.

UR - https://www.scopus.com/pages/publications/85167959343

U2 - 10.1109/IV55152.2023.10186673

DO - 10.1109/IV55152.2023.10186673

M3 - Conference contribution

AN - SCOPUS:85167959343

T3 - IEEE Intelligent Vehicles Symposium, Proceedings

BT - IV 2023 - IEEE Intelligent Vehicles Symposium, Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 4 June 2023 through 7 June 2023

ER -

CommonRoad-CriMe: A Toolbox for Criticality Measures of Autonomous Vehicles

Abstract

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UN SDGs

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