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UAVs can be very effective search and rescue tool, but not in dense forests where the wood cover can block GPS signals. Fortunately, MIT developed the clever decision: to use the same technology which drives the autonomous cars. Scientists developed UAVs which use LIDAR for drawing up the map of forests without GPS use. Each drone creates the two-dimensional card which includes the provision of trees that considerably simplifies storing of places which the robot already visited during search.

Such UAVs will also be more effective and in that, how exactly they look for. Instead of sending drones to explore novel areas, the MIT method keeps a drone impulse as much as possible. Usually it leads to creation of a spiral pattern which covers area much quicker - it is very important for a saving mission when every minute on the account.

It, in turn, will also allow to combine cards from all fleet of UAVs and to comb big sites of the forest with the minimum expenses of efforts.

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However, there are also restrictions. The present system lacks the external earth-based station for combination of cards, and identification of people will require the system of recognition of objects. MIT assumes that future versions will share cards, coming into contact, and recognition of objects will be realized fully. If everything rises on the places, the benefit will be obvious. Rescue teams will be able to find and pull out much more wounded and the lost tourists in the forest, relying on the fleet of drones, than on big groups of people, and will make it much quicker.