1. A control system for a mission air vehicle, comprising: a scenario management module providing data representing a plurality of airborne objects including, for each of the plurality of airborne objects, a danger level of a conflict predicted in a previous cycle; an air vehicle data management module outputting data representing the mission air vehicle; a collision prediction module periodically acquiring the outputs of the scenario management module and the air vehicle data management module, the collision prediction module configured to periodically calculate collision prediction data and feedback the calculated collision prediction data to the scenario management module; the collision prediction module having a plurality of sub-modules, including: a first sub-module receiving the outputs of the scenario management module and the air vehicle data management module, and configured to manage the data exchange among the plurality of sub-modules, select a subset of the plurality of airborne objects to be monitored in a given cycle, and output conflict data; a second sub-module receiving the data representing the plurality of airborne objects from the first sub-module, the second sub-module configured to assign to each of the airborne objects a score based at least in part on the danger level of a conflict predicted in a previous cycle, and assign one of a deterministic mode of calculating a collision prediction and a probabilistic mode of calculating a collision prediction, the second sub-module outputting the assigned scores and assigned mode of collision prediction, wherein the first sub-module selects the subset of the plurality of airborne objects based on a predetermined surveillance table and the scores assigned to the airborne objects by the second sub-module; a third sub-module acquiring kinematic data output by the first sub-module for each of the airborne objects of the subset, and configured to extrapolate angular velocity data for each of the airborne objects of the subset and output the angular velocity data to the first sub-module; a fourth sub-module acquiring from the first sub-module a route of the unmanned vehicle and the routes of the airborne objects of the subset selected by the first sub-module and to which the second sub-module assigned the deterministic mode of calculating the collision prediction, the fourth sub-module configured to calculate equivalent routes for the mission vehicle and each of the selected airborne objects, and execute the deterministic mode of calculating a collision prediction for each of the airborne objects assigned the deterministic mode of calculating the collision prediction, the fourth sub-module outputting data representative of the deterministic collision prediction to the first sub-module such that the conflict data output by the first sub-module is based on the conflict prediction data output by the fourth sub-module; a fifth sub-module receiving the equivalent routes from the fourth sub-module, and configured to synchronize the equivalent routes by inserting virtual waypoints into the equivalent routes to identify points at which the airborne object and the unmanned air vehicle change a flight parameter and by modeling two consecutive waypoints with continuous-time functions that are also functions of the linear velocity and angular velocity, the fifth sub-module outputting the synchronized routes to the fourth sub-module for executing the deterministic mode of calculating a collision prediction; a sixth sub-module acquiring from the first sub-module the route of the unmanned vehicle and the routes of the airborne objects of the subset selected by the first sub-module and to which the second sub-module assigned the probabilistic mode of calculating the collision prediction, the sixth sub-module configured to calculate equivalent routes for the mission vehicle and each of the selected airborne objects, and execute the probabilistic mode of calculating a collision prediction for each of the airborne objects assigned the probabilistic mode of calculating the collision prediction, the sixth sub-module outputting data representative of the probabilistic collision prediction to the first sub-module such that the conflict data output by the first sub-module is based on the conflict prediction data output by the sixth sub-module; the fifth sub-module receiving the equivalent routes from the sixth sub-module, and configured to synchronize the equivalent routes by inserting virtual waypoints into the equivalent routes to identify points at which the airborne object and the unmanned air vehicle change a flight parameter and by modeling two consecutive waypoints with continuous-time functions that are also functions of the linear velocity and angular velocity, the fifth sub-module outputting the synchronized routes to the sixth sub-module for executing the probabilistic mode of calculating a collision prediction; a seventh sub-module receiving from the first sub-module the conflict data of the airborne objects for which a probability of conflict has been detected, and configured to generate for each of the conflicting airborne objects a danger level and an alarm message including the danger level and a modality with which the possible conflict will occur, the seventh sub-module sending the alarm message to the scenario management module; and wherein the scenario management module feeds back the danger level of a conflict to the collision prediction module.