Changes in energy of an aerial vehicle that are unrelated to any operational changes in the aerial vehicle may be associated with energy sources or sinks naturally present at a location. Air flows generated due to contrasts in surface temperatures or terrain features at locations may cause energy levels of aerial vehicles to rise or fall. Locations of changes in energy may be recorded and used to generate a map or other representation of energy within an area. The map or other representation may be used in selecting optimal routes for aerial vehicles within the area. Additionally, a machine learning system may be trained using maps or representations of energy within areas and images of such areas. An image of an area may be provided to a trained machine learning system as an input, and a representation of energy within the area may be generated based on an output.
Efficient flight operations based on naturally present energy sources or sinks
12.01.2021
Patent
Elektronische Ressource
Englisch
Estimating Tracking Sources and Sinks
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