GPS Spoofing Resilience in Autonomous Vehicles
Investigates adversarial attacks on sensor fusion systems in autonomous vehicles — specifically GPS spoofing, frame injection, and cyber-physical risks in real-world operating conditions. Developed a PID navigation system with GPS-based localization in the CARLA simulator and evaluated attack detection pipelines against realistic threat models.
DoD-contracted research through Tennessee Tech University and Vanderbilt University