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This is a Experimental Study study.

Development of a YOLOv5-Based Real-Time Obstacle Detection System for UAV Applications

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This system demonstrates high detection accuracy in unmanned aerial vehicles, indicating advancements in real-time obstacle detection technology.

Detection accuracy reached 81.4% with a frame rate over 24 FPS using digital cameras.
Evaluation involved assessing obstacle recognition under varying lighting conditions and video qualities.
Applications for unmanned aerial vehicles in indoor environments rely on robust obstacle detection methods.
Highlights the need for better hardware and video quality in obstacle detection systems.

Park et al. (2025) studied this question.

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This system demonstrates high detection accuracy in unmanned aerial vehicles, indicating advancements in real-time obstacle detection technology.