Predicting and avoiding road crashes based on Artificial Intelligence (AI) and big data
Project Proposal
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Seeking Consortium for HORIZON-CL5-2026-01-D6-14: Expertise in Drone-based Data Acquisition and ML
Can act as:
Seeking expertise:
Our research group at University of Perugia in collaboration with University of Padova is seeking to join a consortium for the HORIZON-CL5-2026-01-D6-14 call on "Predicting and avoiding road crashes based on Artificial Intelligence (AI) and big data."
We bring extensive expertise in the deployment of unmanned aerial vehicles (UAVs/drones) for high-resolution data acquisition and the development of advanced machine learning algorithms for image and sensor data analysis.
Our capabilities directly align with the call's objective to develop an AI-enabled digital twin of traffic and infrastructure. We can contribute by:
- Acquiring novel datasets of traffic flow, infrastructure conditions, and near-miss events using drones.
- Developing and training ML models to identify high-risk behaviors and pre-crash indicators from aerial imagery.
- Integrating drone-derived data with other sources (roadside sensors, vehicle data) to enhance the predictive accuracy of the digital twin.