Driver prediction model for autonomous vehicle within a virtual testing platform tailored to Malaysia driving scenarios
Virtual simulation is a vital tool for testing autonomous vehicle (AV) systems in hazardous scenarios due to its cost-effectiveness, reproducibility, and safety. The reliability of such simulations depends on the accuracy of vehicle dynamics, environmental models, and, critically, driver models, whi...
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| Format: | Thesis (University of Nottingham only) |
| Language: | English |
| Published: |
2025
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| Online Access: | https://eprints.nottingham.ac.uk/81189/ |