1 to 10 of 116 Results
application/x-iwork-keynote-sffkey - 4.6 KB -
MD5: 3f107bf70339ebfc21884ffc9873b127
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application/x-iwork-keynote-sffkey - 7.9 KB -
MD5: f979074b87ada928701a1585341ef88d
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Tabular Data - 440.0 MB - 66 Variables, 451286 Observations - UNF:6:mvb2uMSyLvCaGYzxXdCSfQ==
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Tabular Data - 59.0 MB - 66 Variables, 60520 Observations - UNF:6:1HPoAEcon31ZNFCMl2XPcA==
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Aug 5, 2022 -
Human Occupant Motion in Pre-Crash Scenario
Python Source Code - 8.4 KB -
MD5: fbb60b9266d73a04eb8603eb6713232f
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Tabular Data - 3.8 MB - 66 Variables, 3901 Observations - UNF:6:Sk+xA42f33HBA7XHhDk4mg==
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Aug 5, 2022 -
Human Occupant Motion in Pre-Crash Scenario
Hierarchical Data Format - 7.3 GB -
MD5: 123b61a23d5fb606dba5dd66f4bd8a48
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Mar 28, 2024 - PN 7-6
Bechler, Florian, 2024, "Simulation Results from the Descriptive Graph-based Model of two Example Driving Scenarios", https://doi.org/10.18419/darus-4116, DaRUS, V1
Video of the interior and exterior information of a driving scenario, with the resulting graph-based description. The video shows a combination of exterior data of a driving scenario in combination with information about the drivers eyegaze. On the right side a resulting graph-ba... |
Jan 17, 2023 - PN 7-6
Rodegast, Philipp; Maier, Steffen; Kneifl, Jonas; Fehr, Jörg, 2023, "Simulation Data from Motorcycle Sensors in Operational and Crash Scenarios", https://doi.org/10.18419/darus-3301, DaRUS, V1, UNF:6:rnJlYpzgwi2nYAtNG7jBtA== [fileUNF]
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... |
Mar 28, 2024 -
Simulation Results from the Descriptive Graph-based Model of two Example Driving Scenarios
MPEG-4 Video - 3.9 MB -
MD5: ad4881df3054e52ce4665a3bcd4c5c11
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