CPC G06V 20/17 (2022.01) [B64C 39/024 (2013.01); G05D 1/101 (2013.01); G06T 3/4038 (2013.01); G06T 5/94 (2024.01); G06V 10/30 (2022.01); G06V 10/60 (2022.01); G06V 10/82 (2022.01); H04N 5/33 (2013.01); B64U 2101/30 (2023.01); B64U 2201/10 (2023.01); G06T 2207/10024 (2013.01); G06T 2207/10032 (2013.01); G06T 2207/20024 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20182 (2013.01); G06T 2207/30252 (2013.01)] | 20 Claims |
1. A method, comprising:
training a learning model based on a training image produced by combining darkened RGB color data and simulated infrared illumination range data associated with an input image captured using a camera and an infrared light of an unmanned aerial vehicle;
providing the learning model for use by the unmanned aerial vehicle; and
navigating the unmanned aerial vehicle using the learning model to detect one or more objects while the unmanned aerial vehicle is in a night mode configuration.
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