Vehicles are becoming smarter and “greener” through connectivity and artificial intelligence, and cybersecurity is emerging as a new concern able to stop such huge potential for more sustainable safer roads with zero fatality.
CARAMEL’s goal is to proactively address modern vehicle cybersecurity challenges applying advanced Artificial Intelligence (AI) and Machine Learning (ML) techniques and also to continuously seek methods to mitigate associated safety risks.
Traffic sign anomaly detection and mitigation pipeline
Detecting possible attacks on the camera sensor using a deep learning approach
In-vehicle Location Spoofing Attack Detection
Holistic Situational Awareness with ML Application
Collaborating mitigation mechanism against GPS spoofing