Retraction Notice: Sora for Intelligent Vehicles: A Step From Constraint-Based Simulation to Artificiofactual Experiments Through Dynamic Visualization
Scenario simulation plays an integral role in the development, application, and management of intelligent vehicles. However, planning agents and customizing scenarios for complex systems are laborious, making it challenging to implement high-performance simulations. The striking progress made by Sora, a large-scale text-to-video model, suggests a research opportunity for high-performance simulation through dynamic visualizations. This paper reports the prospective effects of Sora on the scenario simulation of intelligent vehicles. Specifically, we review the achievements of Sora, picture the perspectives of artificiofactual experiments on intelligent vehicles based on the performance of Sora-type techniques, and discuss how far are we now.
Authors
- Xumeng Wang (ORCID: https://orcid.org/0000-0002-9525-9298)
- Xiao Xue (ORCID: https://orcid.org/0000-0001-5396-3909)
- Yining Di (ORCID: https://orcid.org/0000-0001-5763-9006)
- Xingxia Wang (ORCID: https://orcid.org/0000-0003-2271-156X)
- Ran Yan (ORCID: https://orcid.org/0000-0002-3021-9543)
- Wei Chen (ORCID: https://orcid.org/0000-0002-8365-4741)
- Fei‐Yue Wang (ORCID: https://orcid.org/0000-0001-9185-3989)
Institutions
- Tianjin University (CN)
- Nanyang Technological University (SG)
- Hong Kong University of Science and Technology (HK)
- Nankai University (CN)
- Beijing Academy of Artificial Intelligence (CN)
- University of Chinese Academy of Sciences (CN)
- Zhejiang University (CN)
Publication Details
- Journal
- IEEE Transactions on Intelligent Vehicles
- Published
- 2024-11-20
- DOI
- https://doi.org/10.1109/tiv.2024.3502596
- Primary Topic
- Human-Automation Interaction and Safety
- Type
- article
- Field-Weighted Citation Impact
- 0.00