mlsanityData to 14 Oct 2026

From Model-Based to Data-Driven Simulation: Challenges and Trends in Autonomous Driving

arXiv 2305.13960 ↗First posted 23 May 2023cs.CVcited by 6

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Abstract (arXiv)

Simulation is an integral part in the process of developing autonomous vehicles and advantageous for training, validation, and verification of driving functions. Even though simulations come with a series of benefits compared to real-world experiments, various challenges still prevent virtual testing from entirely replacing physical test-drives. Our work provides an overview of these challenges with regard to different aspects and types of simulation and subsumes current trends to overcome them. We cover aspects around perception-, behavior- and content-realism as well as general hurdles in the domain of simulation. Among others, we observe a trend of data-driven, generative approaches and high-fidelity data synthesis to increasingly replace model-based simulation.

Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). Builds on 37 of its 69 references that are in the map. First posted on arXiv 23 May 2023.

Builds on

37 of 69 references.

References · 37

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25 more
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Citing papers per year: 2023: 1; 2024: 3; 2025: 2.

6 papers.