Autonomous aerial navigation in low-light and no-light conditions

Autonomous aerial navigation in low-light and no-light conditions includes using night mode obstacle avoidance intelligence, training, and mechanisms for vision-based unmanned aerial vehicle (UAV) navigation to enable autonomous flight operations of a UAV in low-light and no-light environments using...

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Bibliographic Details
Main Authors Nekrasov, Vladimir, Martirosyan, Hayk, Wang, Samuel Shenghung, Kennedy, Ryan David, Cross, Gareth Benoit, Bachrach, Abraham Galton, Bry, Adam Parker, Holtz, Kristen Marie, Henry, Peter Benjamin
Format Patent
LanguageEnglish
Published 02.01.2024
Subjects
AEROPLANES
AIRCRAFT
AVIATION
CALCULATING
COMPUTING
COSMONAUTICS
COUNTING
ELECTRIC COMMUNICATION TECHNIQUE
ELECTRICITY
HELICOPTERS
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PERFORMING OPERATIONS
PHYSICS
PICTORIAL COMMUNICATION, e.g. TELEVISION
TRANSPORTING
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Summary:Autonomous aerial navigation in low-light and no-light conditions includes using night mode obstacle avoidance intelligence, training, and mechanisms for vision-based unmanned aerial vehicle (UAV) navigation to enable autonomous flight operations of a UAV in low-light and no-light environments using infrared data.
Bibliography:Application Number: US202217707841