Project Details
Description
This two-year VeVuSafety project demonstrates that deep learning-based artificial intelligence methodologies are highly beneficial for understanding road users' behavior in diverse mixed traffic situations, enhancing the safety of vehicles and vulnerable road users (VRUs).
| Acronym | VeVuSafety |
|---|---|
| Status | Finished |
| Effective start/end date | 1/10/22 → 30/09/24 |
Collaborative partners
- University of Bath (lead)
- University of Twente
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