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DARTER: Digital twins for Accessible Real Testing grounds for automotive Engineers and Researchers

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NIAID Data Ecosystem2026-05-01 收录
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https://zenodo.org/record/8409624
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The DARTER dataset contains a sample (for now) of driving data (camera, LiDAR, IMU, steering wheel angle, etc.) without labels gathered at AstaZero's test track using the Chalmers ReVeRe lab's SnowFox test vehicle. DARTER stands for Digital twins for Accessible Real Testing grounds for automotive Engineers and Researchers. This research was possible thanks to the funds of a SAFER pre-study grant.   About DARTER: Verification and validation (V&V) of Intelligent Transport Solutions and their components in real traffic is difficult (costs, passers-by, etc.) and running tests under all possible conditions (weather, traffic, etc.) is impossible. For these reasons, controlled proving grounds and simulations are being used to safely increase the coverage of V&V.  The DARTER project, a SAFER pre-study, addresses two issues connected to these alternatives. On the one hand, the limited access to real proving grounds and their corresponding high-fidelity simulations of academic researchers, key in evaluating the benefits and social and environmental harms that technological advances can pose. On the other hand, the fidelity gap between the virtual and the real world, that prevents the usage of simulations at vehicle integration test level and needs to be understood and measured.  SAFER pre-studies https://www.saferresearch.com/content/safer-pre-studies
创建时间:
2023-10-20
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