Risk Mitigation for Unmanned Air Vehicles Mission Planning

Giulio Avanzini, David S. Martínez (University of Salento), Vito Primavera, Francesco Micchetti (EnginSoft), Silvano Pagone (Aeroporti di Puglia)

CHALLENGE - The present work (developed into the co-funded project “TAKE-OFF - Test and Knowledge-based Environment for Operations, Flight and Facility”, whose frame is the “Cluster Tecnologici Regionali - SmartPuglia 2020, Regione Puglia”) introduces a path planning methodology where the risk related to UAV operation is reduced by estimating the probability of hitting a person on the ground, assuming a map of the population density in the area interested by the flight is available. 

SOLUTION - The impact area on the ground is evaluated both in a deterministic way –which depends on vehicle dimensions and kinetic energy– and in a statistical way –where uncertainties of the navigation parameters (position and velocity) are introduced. ​n. Once the relation between the nominal vehicle trajectory and corresponding risk level is defined, a suitable multi-objective optimization process implemented  in modeFRONTIER is developed, searching for the optimum solutions that minimize​ path length and risk, the latter being constrained below a prescribed maximum admissible value​.











BENEFITS - The approach lends itself to the possibility of optimizing the trajectory, in order to minimize the total risk, mitigate it in those parts of the trajectory where it is higher or reduce it below a prescribed threshold.