2026-06-07T22:54:18Zhttps://docta.ucm.es/rest/oai/request

oai:docta.ucm.es:20.500.14352/533132024-08-21T14:35:34Zcom_20.500.14352_14col_20.500.14352_21

Ruz Ortiz, José Jaime Arévalo, Orlando Cruz García, Jesús Manuel de la Pajares Martínsanz, Gonzalo 2023-06-20T13:40:17Z 2023-06-20T13:40:17Z 2006 978-0-7803-9758-3 https://hdl.handle.net/20.500.14352/53313 http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4178340&tag=1 http://ieeexplore.ieee.org/ This paper presents an approach to trajectories optimization for Unmanned Aerial Vehicle (UAV) in presence of obstacles, waypoints, and threat zones such as radar detection regions, using Mixed Integer Linear Programming (MILP). The main result is the linear approximation of a nonlinear radar detection risk function with integer constraints and indicator 0-1 variables. Several results are presented to show that the approach can yields trajectories depending on the acceptable risk of detection. eng open access Using MILP for UAVs trajectory optimization under radar detection risk book part