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New AI-based operating systems revolutionize drone technology.


"University of Missouri researchers are advancing drone autonomy using AI, focusing on navigation and environmental interaction without GPS reliance. Credit: SciTechDaily.com" (ScitechDaily, AI Unleashed: Revolutionizing Autonomous Drone Navigation)

The GPS is an effective navigation system. But the problem is, how to operate that system when somebody jams it? The GPS is a problematic system. Its signal is quite easy to cut. And otherwise, if the enemy gets the GPS systems in their hands, they can get GPS frequencies. That helps to make the jammer algorithms against those drones. The simple GPS is a very vulnerable thing. 

Done swarms are effective tools when researchers want to control large areas. The drone swarm's power base is in a non-centralized calculation methodology. In that model, drones share their CPU power with other swarm members. This structure allows us to drive complicated AI-based solutions. And in drone swarms, the swarm operates as an entirety. That can deliver information to controllers in seconds. The problem is that the communication inside the drone swarms can be jammed. 

Modern computer technology allows researchers to create new independently operating drones. Modern lightweight computer technology makes it possible for independent drones. Make complicated missions alone or as members of the swarms. 

When single drones can operate independently it makes the system more flexible than pure drone swarms. If drones also operate independently, that denies the ability to jam those drone swarms. When a drone swarms communication is jammed. 

That requires counter-actions.  Some of those drones can go search for the jammer and attack against it. 

Hybride drone swarm's idea is simple. Drones operate as part of their entirety, but the system can give individual missions to individual drones. The drone technology is becoming more advanced today. Also, small-size drones can involve intelligent systems. 

The problem is, how to deny information or computer code to slip into hostile hands. The target recognition and attack algorithms are the most wanted systems in the world. One of the things that can deny the enemy is that complicated code in their hands are so-called RAM-hard disks. 

The drone's algorithms can stored in the virtual hard disks that are created in the read-access memory (RAM). When the system cuts electricity, the RAM disks are whipped out. 

The AI-based navigation systems can use the magnetic- and gyrocompass with the digital image comparison systems. That are used in cruise missiles. The terrain-contour matching TERCOM system bases technology, where the digital camera takes images of the route, that it travels. And when the drone must return to the base. It just follows those images. 

The kamikaze drone can use this image-matching technology to find suitable targets. AI-driven kamikaze drones can wait until somebody opens some hatch. And flies into those hatches. The drone can use the same image recognition technology as the Javelin. 


https://scitechdaily.com/ai-unleashed-revolutionizing-autonomous-drone-navigation/

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