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Philipp Rodegast; Steffen Maier; Jonas Kneifl; Jörg Fehr (2023). Simulation Data from Motorcycle Sensors in Operational and Crash Scenarios [Dataset]. http://doi.org/10.18419/DARUS-3301

Data from: Simulation Data from Motorcycle Sensors in Operational and Crash Scenarios

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4 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jan 17, 2023
Dataset provided by
DaRUS
Authors
Philipp Rodegast; Steffen Maier; Jonas Kneifl; Jörg Fehr
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Dataset funded by
DFG
Baden-Württemberg Ministry of Science, Research and the Arts
Description

This dataset provides time-dependent simulation results from high-fidelity motorcycle body crash scenarios. The set contains the angular as well as linear positions, velocities, and accelerations of different parts of the motorcycle. In addition, force and contact sensor signals are also part of the dataset. The driving scenarios include critical, i.e., crash scenarios, as well as non-critical ones. They simulations result from a parametrized scenario description and from scenarios which follow ISO 13232. Content Time trajectories of sensor signals for operational and crash scenarios (*.csv files): time-dependent sensor measurements resulting from a variety of simulated scenarios TrainingData.csv (~40.000 Samples): Scenarios used for training TestData.csv (~9000 Samples): Scenarios used for testing ControlScenarios (including 39 .csv files): Scenarios used for validation (including ISO 13232 scenarios) Script to load the data with data description (LoadData.py)

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