Collision avoidance for UAVs using reachable sets Conference Paper uri icon

abstract

  • 2015 IEEE. This paper presents a real-time path planning algorithm for UAVs to avoid collision with other aircraft. Reachable sets are used to represent the collection of possible trajectories of obstacle aircraft. It is used in collision prediction for UAVs in path planning. Once a collision is detected, a sampling-based method is used to generate a collision avoidance path. A second collision check is performed on the generated path with the updated UAV and aircraft' states. The path is re-planned if it leads to another collision. The algorithm is validated in Software-In-the-Loop simulation. ADS-B (Automatic Dependent Surveillance - Broadcast) data logged from commercial aircraft are used as the obstacle aircraft. The experiments show that reachable set improves the success rate for collision avoidance compared to the linear motion assumption for the obstacle aircraft.

name of conference

  • 2015 International Conference on Unmanned Aircraft Systems (ICUAS)

published proceedings

  • 2015 International Conference on Unmanned Aircraft Systems (ICUAS)

author list (cited authors)

  • Lin, Y., & Saripalli, S.

citation count

  • 38

complete list of authors

  • Lin, Yucong||Saripalli, Srikanth

publication date

  • June 2015

publisher