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Found 4 papers, 2 papers with code
OS-FPI: A Coarse-to-Fine One-Stream Network for UAV Geo-Localization
Furthermore, its performance in meter-level localization accuracy is impressive, with 182. 62% improvement in 3-meter accuracy, 164. 17% improvement in 5-meter accuracy, and 137. 43% improvement in 10-meter accuracy.
Finding Point with Image: A Simple and Efficient Method for UAV Self-Localization
To validate the practicality of our framework, we construct a paired dataset, namely UL14, that consists of UAV and satellite views.
A Transformer-Based Feature Segmentation and Region Alignment Method For UAV-View Geo-Localization
However it still has some limitations, e. g., it can only extract part of the information in the neighborhood and some scale reduction operations will make some fine-grained information lost.
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Vision-Based UAV Self-Positioning in Low-Altitude Urban Environments
Last, we enhance the Recall@K metric and introduce a new measurement, SDM@K, to evaluate the performance of a trained model from both the retrieval and localization perspectives simultaneously.
