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One of NanoMap’s key insights is a surprisingly simple one: The system considers the drone’s position in the world over time to be uncertain, and actually models and accounts for that uncertainty.⁠ ⁠ “Overly confident maps won’t help you if you want drones that can operate at higher speeds in human environments,” says graduate student Pete Florence, lead author on a new related paper. “An approach that is better aware of uncertainty gets us a much higher level of reliability in terms of being ab
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One of NanoMap’s key insights is a surprisingly simple one: The syste…
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