Vehicle crash simulation models for reinforcement learning driven crash-detection algorithm calibration
Abstract The development of finite element vehicle models for crash simulations is a highly complex task. The main aim of these models is to simulate a variety of crash scenarios and assess all the safety systems for their respective performances. These vehicle models possess a substantial amount of...
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| Main Authors: | Shahabaz Afraj, Ondřej Vaculín, Dennis Böhmländer, Luděk Hynčík |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2025-07-01
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| Series: | Advanced Modeling and Simulation in Engineering Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s40323-025-00288-4 |
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