%0 Generic %1 rodegast2023simulation %A Rodegast, Philipp %A Maier, Steffen %A Kneifl, Jonas %A Fehr, Jörg Christoph %D 2023 %K EXC2075 PN6 darus %R 10.18419/darus-3301 %T Simulation Data from Motorcycle Sensors in Operational and Crash Scenarios %X 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)

@misc{rodegast2023simulation, abstract = {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) }, added-at = {2024-07-03T10:45:48.000+0200}, affiliation = {Rodegast, Philipp/ISG Industrielle Steuerungstechnik GmbH, Maier, Steffen/University of Stuttgart, Kneifl, Jonas/University of Stuttgart, Fehr, Jörg/University of Stuttgart}, author = {Rodegast, Philipp and Maier, Steffen and Kneifl, Jonas and Fehr, Jörg Christoph}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2720ea127cbe3463fb14f67d3cdf8c335/testusersimtech}, doi = {10.18419/darus-3301}, howpublished = {Software}, interhash = {33ee06d7ccbedcf9bb5efbd6fa153446}, intrahash = {720ea127cbe3463fb14f67d3cdf8c335}, keywords = {EXC2075 PN6 darus}, note = {Related to: Rodegast, P., Maier, S., Kneifl, J., Fehr, J.: On using Machine Learning Algorithms for Motorcycle Collision Detection, 2023. tbd}, orcid-numbers = {Rodegast, Philipp/0000-0002-9794-7852, Maier, Steffen/0000-0003-4569-722X, Kneifl, Jonas/0000-0003-3934-6968, Fehr, Jörg/0000-0003-2850-1440}, timestamp = {2024-07-03T10:45:48.000+0200}, title = {Simulation Data from Motorcycle Sensors in Operational and Crash Scenarios}, year = 2023 }