UAV collision avoidance exploitation for noncooperative trajectory modification

作者：Pierpaoli Pietro^*; Rahmani Amir

来源：Aerospace Science and Technology, 2018, 73: 173-183.

DOI：10.1016/j.ast.2017.12.008

• Next-gen trustworthiness
• Autonomous flight
• ADS-B
• Collision avoidance
• Model predictive control
• Autonomous system vulnerability

Distributed collision-free trajectories are generally obtained through a continuous sharing of information between vehicles. With the intent of investigating possible sources of vulnerability in autonomous frameworks, we formalize a procedure malicious players can follow to influence other. In this paper we propose a strategy for steering a UAV towards predetermined targets. The strategy described here relies on the existence of a flight information sharing protocol (i.e. ADS-B) and predictable collision avoidance algorithms. A model predictive controller is applied to the switching system representing a pair of UAVs coupled by the presence of an imminent collision. As showed by means of numerical simulations and robot experiments, the result is a loss of autonomy on the UAV. Our results suggest the need to include the subject of our study in the discussion on safe automated airspace.

• 出版日期2018-2