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The student José Antonio Rubio Lopez-Atalaya, the Degree in Computer Engineering UCAM has obtained mention honors in the final project with which it has developed software that would allow, through artificial intelligence techniques, help the "drones" both takeoff and landing and detection of obstacles during flight.
Artificial neural networks that is designed this research, led by Dr. Andrés Bueno Crespo, professor of the subject Intelligent Systems Degree in Computer Engineering UCAM learning allows these machines similar to that of a human brain .
In this way, the machine is achieved autonomously learn by observation of images that provides a flight simulator, combining different parameters of telemetry.
In recent years there has been a great revolution in the market of so-called "drones".
These vehicles are being used for both civilian and military tasks.
Artificial intelligence has great utility in this second area since it would provide the pilot autonomously, without a remote control.
This revolutionary technology, which results in a doctoral thesis, which so far is only beginning to be used by the United States Army and Stanford University by helicopters, can be applied to other aerial devices as civilian aircraft, dodging obstacles in flight.
Even "could assist in emergency situations fading pilot, returning and landing completely autonomously," says the student of the UCAM.
Source: UCAM
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