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DOE OSTI · 1812760

Obstacle Detection for Drones Using Machine Learning

Cecil, Blake Robert·Boza, Roger·Al Rashdan, Ahmad Y
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Abstract

Using machine learning, drones are able to detect obstacles in real time utilizing only a camera. Obstacle detection is done with a depth estimation model. The model produces an estimate of the distance of all the objects within the drones line of sight. From this estimate we can then detect if we are close to an obstacle. The method has been applied to a variety of real world videos and achieves 92% accuracy.

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47 OTHER INSTRUMENTATIONDroneMachine LearningObstacle Avoidance

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BibTeXRIS

Cecil, Blake Robert, Boza, Roger, Al Rashdan, Ahmad Y. 2021-08-03. Obstacle Detection for Drones Using Machine Learning. https://www.osti.gov/biblio/1812760

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