Multi-dimension operation of autonomous vehicles

A system for automatically operating autonomous vehicles to accomplish a coverage task, comprising:

• at least one input interface;
• at least one output interface;
• and
• at least one processor coupled to the at least one input interface and to the at least one output interface, the at least one processor executing a code comprising:
• code instructions to receive, via the at least one input interface, a plurality of task parameters defining a coverage task in a certain geographical area;
• code instructions to calculate a first movement path for at least one first autonomous vehicle selected to cover at least partially the certain geographical area, the first movement path is computed according to at least one operational parameter of the first autonomous vehicle with respect to at least one of the plurality of task parameters;
• code instructions to operate, via the at least one output interface, the at least one first autonomous vehicle according to the first movement path;
• code instructions to identify at least one uncovered segment of a plurality of segments constituting the certain geographical area by analyzing coverage of the certain geographical area by the at least one first autonomous vehicle operated according to the first movement path;
• code instructions to calculate a second movement path for at least one second autonomous vehicle selected to cover the at least one uncovered segment according to a second movement path computed according to at least one operational parameter of the second autonomous vehicle;
• and
• code instructions to operate, via the at least one output interface, the at least one second autonomous vehicle according to the second movement path;
• wherein the at least one first autonomous vehicle and the at least one second autonomous vehicle are selected to optimally accomplish the coverage task, the second autonomous vehicle having increased coverage precision and reduced coverage rate compared to the first autonomous vehicle.