A YOLO-style detection-plus-segmentation network warns of UAV landing deviations with 98.6% accuracy on a new 9,142-image dataset.
Estimation techniques in robust vision-based landing of aerial vehicles,
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AeroLite-MDNet: Lightweight Multi-task Deviation Detection Network for UAV Landing
A YOLO-style detection-plus-segmentation network warns of UAV landing deviations with 98.6% accuracy on a new 9,142-image dataset.