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.

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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
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article

Retraction Notice: Sora for Intelligent Vehicles: A Step From Constraint-Based Simulation to Artificiofactual Experiments Through Dynamic Visualization

Xumeng Wang, Xiao Xue, Yining Di, Xingxia Wang et al.
IEEE Transactions on Intelligent Vehicles
Human-Automation Interaction and Safety
article

Retraction Notice: Sora for Intelligent Vehicles: A Step From Constraint-Based Simulation to Artificiofactual Experiments Through Dynamic Visualization

Xumeng Wang, Xiao Xue, Yining Di, Xingxia Wang, Ran Yan, Wei Chen, Fei‐Yue Wang
article en

Abstract

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.

IEEE Transactions on Intelligent Vehicles
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)
Openalex Percentile: Top 73%
Human-Automation Interaction and Safety
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Retraction Notice: Sora for Intelligent Vehicles: A Step From Constraint-Based Simulation to Artificiofactual Experiments Through Dynamic Visualization — Xumeng Wang, Xiao Xue, et al. · IEEE Transactions on Intelligent Vehicles (2024) | TGRS Research Map | TGRS