This article discusses a graduate project at Virginia Tech where students worked on developing software to track threats and vulnerabilities in self-driving trucks. The project involved machine learning and cybersecurity, specifically focusing on the laser detection and ranging system (LiDAR) used by self-driving cars. The team’s goal was to prevent collisions and keep pedestrians safe by ensuring the proper functioning of these systems.
