INDOOR POSITIONING SYSTEM AND INDOOR POSITIONING METHOD

An indoor positioning system and method are provided. The indoor positioning method includes: establishing an image database through a BIM model of a target area, and using a trained deep learning model to extract features of a virtual image; after obtaining a captured image in the target area, using the trained deep learning model to extract features thereof, and performing similarity matching with the image database to calculate a spatial position of a most similar image; calculating the most similar image and its essential matrix through multiple sets of feature points, and obtaining capturing positions and capturing pose parameters as positioning results; projecting the BIM model to a tracking captured image, and updating the positioning results and the capturing pose parameters with a visual inertial odometer; and continuously correcting the positioning results and the capturing pose parameters by detecting horizontal and vertical planes from the tracking captured image.