Boosting Unmanned Aerial Vehicle (UAV) Navigation Capabilities: Improving Obstacle Detection and Evasion using the You Only Look Once (YOLO) Algorithm

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Demonstrates improved obstacle detection in unmanned aerial vehicles using YOLO algorithm, suggesting greater autonomy.

YOLOv8 significantly improves detection accuracy and processing speed in UAV navigation.
The system achieved real-time obstacle detection leveraging deep learning and CNNs for efficiency.
A novel weight-based decision framework was integrated into YOLOv8 to enhance evasive maneuvers in dynamic environments.
Future implementations may face challenges in adapting to complex outdoor scenarios despite promising results.

Vohra et al. (2025) studied this question.

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