Simulation Data from Motorcycle Sensors in Operational and Crash Scenarios
收藏Mendeley Data2024-03-27 更新2024-06-27 收录
下载链接:
https://darus.uni-stuttgart.de/citation?persistentId=doi:10.18419/darus-3301
下载链接
链接失效反馈官方服务:
资源简介:
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)
创建时间:
2023-06-28



