Object localization in images via fusion of SFM and YOLO
Researchers have developed a new framework that combines Structure from Motion (SfM) algorithms with an improved YOLOv8 object detection model. This method allows for high-precision geospatial localization of objects in images captured by UAVs.
Why it matters
This technology improves the accuracy of autonomous systems and drone-based mapping, which is critical for fields like autonomous driving and geospatial analysis.
Scientific Reports ( 2026 ) Cite this article
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