Method and device for point of interest (POI) detection clustering using image embeddings

A method for point of interest (POI) detection clustering using image embeddings, the method comprising:

• obtaining, using a neural network, the image embeddings from filtered POI detections, the filtered POI detections comprising portions of one or more images that are captured in an area of a map, in which POIs are detected, wherein the filtered POI detections are obtained by calculating a coordinate distance between geographic coordinate pairs of each pair of the POI detections and removing, based on the coordinate distance, a respective pair of the POI detections from the POI detections;
• calculating an embedding distance between the obtained image embeddings;
• recognizing texts included in the filtered POI detections;
• calculating an optical character recognition (OCR) distance between the recognized texts;
• calculating a final distance between the POI detections, based on the calculated embedding distance and the calculated OCR distance;
• and
• clustering the POI detections, based on the calculated final distance;
• updating the map to comprise a POI corresponding to the clustered POI detections;
• and
• providing the updated map for generating control signals for a vehicle based on the updated map.