The new algorithms and sensors fly drones faster than human pilots.

The new algorithms are making drones fly faster and more accurately than human pilots. If the drones are equipped with sensors like laser-rangers that are around them, those systems can fly very accurately with high speed. A system that measures the range to the walls can be the laser LEDs and CCD cameras. Those systems are surrounding the entire structure of the drone.

The system has GPS, which is telling the position, and the other system is measuring the range to the barrier, and that thing is used for making the extremely high-accurate maneuvers with high speed. The idea is that the system is taking data all around it from the entire structure.

The same thing can create by using the radar, what is around the drone. The laser systems are more diverse than radars because they are seeing the soft surfaces. And both of those systems can also be used as microphones. The system can search the oscillation of the glass when people are staying inside the room and discussing. Also, highly accurate systems can search for things like the movement of air molecules.

And artificial intelligence can read from lips and that makes those drones extremely good spying tools. If those systems have IR sensors they can see are people carrying guns under their clothes. Those systems can stay in cover between buildings. They can record discussions and then send that recorded data to the satellites by using lasers.

Because those systems are operating without data transmissions, they are hard to detect. If they use inertial navigation, they need only the point, where the operation is started. And then those systems can fly without GPS to the target and start their missions.

Drones can drop from satellites or recon aircraft. They can locate their landing point or the beginning point for the mission by using GPS, but they can also use TERCOM systems for that operation. The TERCOM is created for missiles, but it can also be used in drones or regular aircraft.

For successful operations, the AI-based system requires only the map of the operational area, and then it can create its route to target independently. The high accurate scanners are allowing that those drones can travel through the corridors as storm drains. Or they can stay in other covered positions. And that makes them hard to detect.

The fact is that the drone is always winning manned aircraft in the turning because the computers are not so sensitive for the G-forces. Also, the computers are not thinking. They just are making things without any kind of excuses. The interactive drones that are sending feedback to controllers allow creating the new type of algorithms, which are making those systems more independent than ever before.

The fact is that this is the reason why the things like BCI (Brain-Computer Interfaces) are under development. The BCI allows controlling aircraft by using virtual interfaces, and that is one of the biggest advances in the history of control systems.

The idea is that the system uses the interactive BCI system. That is sending data straight to the brain, and the system is controlled by the EEG curves that are used to move the virtual joystick and other controllers. The system can use by the pilot, who is in the aircraft. Or it can use in remote-controlled drones.

()https://scitechdaily.com/new-algorithm-flies-drones-faster-than-world-class-human-racing-pilots/

()https://en.wikipedia.org/wiki/Brain%E2%80%93computer_interface

()https://en.wikipedia.org/wiki/TERCOM

Image:()https://scitechdaily.com/new-algorithm-flies-drones-faster-than-world-class-human-racing-pilots/

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