CarCrashNet in FiftyOne: Exploring Crash Simulation Data

CarCrashNet, a collaboration between MIT and the Toyota Research Institute, is an open-source benchmark featuring over 15,000 structural crash simulations, making it the first large-scale dataset of its kind for data-driven crash simulations. This extensive dataset includes simulations for three vehicle models—Dodge Neon, Toyota Yaris, and Chevrolet Silverado—using the open-source solver OpenRadioss and validated against Ansys LS-DYNA and physical crash tests. FiftyOne, an open-source visual AI tool, has been employed to handle the dataset, enabling the exploration and curation of crash videos, static figures, tabular metrics, and learned embeddings. With its ability to create multi-camera group slices and a live benchmark leaderboard, FiftyOne demonstrates its versatility in handling scientific simulation data, even though it was originally designed for visual datasets. While the raw 6.65 TB of per-case field data is not yet publicly available, the demo notebook provides a framework for ingestion, poised for when the data is released post-peer review.

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