SCTrans: Constructing a Large Public Scenario Dataset for Simulation Testing of Autonomous Driving Systems-Reference-Cited by-同舟云学术

SCTrans: Constructing a Large Public Scenario Dataset for Simulation Testing of Autonomous Driving Systems

Published:2024-02-06 Issue: Volume: Page:1-13
ISSN:
Container-title:Proceedings of the IEEE/ACM 46th International Conference on Software Engineering
language:
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Author:

Dai Jiarun¹^ORCID,Gao Bufan¹^ORCID,Luo Mingyuan¹^ORCID,Huang Zongan¹^ORCID,Li Zhongrui¹^ORCID,Zhang Yuan¹^ORCID,Yang Min¹^ORCID

Affiliation:

1. Fudan University, Shanghai, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Shanghai Rising-Star Program

Shanghai Pilot Program for Basic Research

Ministry of Industry and Information Technology of the People's Republic of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3597503.3623350

Reference95 articles.

1. ASAM OpenDRIVE. https://www.asam.net/standards/detail/opendrive, 2023.

2. ASAM OpenSCENARIO. https://www.asam.net/standards/detail/openscenario, 2023.

3. Autonomous Vehicle Collision Reports. https://www.dmv.ca.gov/portal/vehicle-industry-services/autonomous-vehicles/autonomous-vehicle-collision-reports/, 2023.

4. Autoware-AI. https://github.com/autowarefoundation/autoware, 2023.

5. Autoware Vector Map. https://github.com/autowarefoundation/autoware_common/blob/main/tmp/lanelet2_extension/docs/lanelet2_format_extension.md, 2023.

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