Altering UAV Flight Path by Threatening Collision
Egerstedt, Magnus B.
MetadataShow full item record
The ongoing transformation of air traffic control towards decentralized decision making based on ADS-B information shared by neighboring traffic will allow all aircraft and UAS in particular, to automatically detect and resolve collisions. In this work we highlight the importance of trustworthiness in such distributed systems, showing that autonomous aircraft can be forced into predetermined trajectories when their precise position and velocity are available to a potentially malicious craft. In other words, malicious pursuer players (real or hoaxed) taking advantage of shared data and collision avoidance properties, can dictate evader agent trajectory, which might not realize the threat at all. As shown by numerical simulations and ground robot experiments, combination of arcs and straight paths can be achieved and be used to arbitrarily control the evader.