CommonRoad-CARLA Interface: Bridging the Gap between Motion Planning and 3D Simulation

Sebastian Maierhofer, Matthias Althoff

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Motion planning algorithms should be tested on a large, diverse, and realistic set of scenarios before deploying them in real vehicles. However, existing 3D simulators usually focus on perception and end-to-end learning, lacking specific interfaces for motion planning. We present an interface for the CARLA simulator focusing on motion planning, e.g., to create configurable test scenarios and execute motion planners in interactive environments. Additionally, we introduce a converter from lanelet-based maps to OpenDRIVE, making it possible to use CommonRoad and Lanelet2 maps in CARLA. Our evaluation shows that our interface is easy to use, creates new scenarios efficiently, and can successfully integrate motion planners to solve CommonRoad scenarios. Our tool is published as an open-source toolbox at commonroad.in.tum.de.

Original languageEnglish
Title of host publication35th IEEE Intelligent Vehicles Symposium, IV 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2702-2708
Number of pages7
ISBN (Electronic)9798350348811
DOIs
StatePublished - 2024
Event35th IEEE Intelligent Vehicles Symposium, IV 2024 - Jeju Island, Korea, Republic of
Duration: 2 Jun 20245 Jun 2024

Publication series

NameIEEE Intelligent Vehicles Symposium, Proceedings
ISSN (Print)1931-0587
ISSN (Electronic)2642-7214

Conference

Conference35th IEEE Intelligent Vehicles Symposium, IV 2024
Country/TerritoryKorea, Republic of
CityJeju Island
Period2/06/245/06/24

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