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

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This approach improves obstacle detection and evasion in UAVs using YOLO, suggesting better autonomy and precision in navigation.

The proposed method enhances UAV navigation by improving obstacle detection and evasion capabilities.
Results indicate that YOLOv8 significantly outperforms earlier models in terms of detection accuracy and speed.
Integration of convolutional neural networks with YOLOv8 provides a low-cost solution and reduces dependency on hardware like LiDAR.
Challenges remain in applying this approach to complex outdoor scenarios, highlighting areas for future work.

Vohra et al. (2025) studied this question.

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