Navigation System of Autonomous UAV

AI Thread Summary
Autonomous UAVs primarily rely on GPS for navigation, but its accuracy ranges from 1 to 10 meters, which is insufficient for applications requiring precision within 0.5 meters. To enhance navigation accuracy, options include using WAAS-capable GPS receivers, optical processing techniques such as LIDAR and cameras, and terrain recognition systems. Inertial navigation systems have also improved with advancements in motion sensors, offering more user-friendly and precise solutions. The choice of navigation assistance may depend on the operational terrain and environmental conditions. Effective implementation of these technologies can significantly enhance the positional accuracy of autonomous UAVs.
bhaazee
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Autonomous UAV usually employ GPS systems for navigation purpose. However, the accuracy of GPS systems lie between 1 to 10 m. If the autonomous UAV has to be employed in applications where the positional accuracy should not exceed 0.5 m, what are the best navigation assisting options available?

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What sort of terrain are you operating in? Optical processing may be an option but that depends on your environment. Also the accuracy of GPS increases with the use of a WAAS capable receiver. It is possible to augment your 3d position with optical processing. (LIDAR, camera, IR camera, etc...)
 
I see a lot of Xlint manufactured video processors in cruise missile guidance systems coupled to camera inputs so I would assume they are using some sort of terrain recognition system.

Of course, someone has to input the images so the system can compare.

Inertial navigation should have become more user friendly and precise with the recent gamut of new inertial and other motion sensors.
 
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