Quote:
Originally Posted by Skarphol
Weeelll, there isn't too much to talk about on this site anyway, reading the same repeated questions over and over again is boring and futile, and besides; there is a lot of people with insight into aviation hanging around here, so I gave it a go.l
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dont pay any attention to the moaners, its an interesting topic
afaik the artificial intelligence routines used in autonomous unmanned vehicles are based on neural networks first studied in simple biological organisms/creatures, and trying to get an engineered robot to even replicate some of those basic behaviors is extremely complex
if you simply need a drone like that to map a certain area, it is not to difficult. the same principle is already used in agriculture where you can have farm equipment (like tractors, harvesters etc..) cover a particular field while guided by gps, and the equipment is fully controlled by an onboard computer, it is being used like that and does work well
the problem that arises with a drone having to move in 3 dimensional space (not that much harder) and that it has to analyse and "understand" what it sees and then respond to unpredictable events is the hard bit. to determine what events are a trigger is part of the problem, but the processes involved in the human brain assessing what it sees in similar situations is incredibly complex, and hard to copy effectively with artificial intelligence routines so far