Article3284
From Model-Based to Data-Driven Simulation: Challenges and Trends in Autonomous Driving
From Model-Based to Data-Driven Simulation: Challenges and Trends in Autonomous Driving
Veröffentlicht: 2023
Journal: -
Nicht-referierte Veröffentlichung
Kurzfassung
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.
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DOI Link: 10.48550/arXiv.2305.13960
Angewandte Technisch-Kognitive Systeme
Presented at IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshop on Vision-Centric Autonomous Driving (VCAD)