Osense Technology Co., Ltd.

Hung-Ya Tsai

You-Kwang Wang

Chao-Chuan Lu

A distributed indoor positioning system and a method thereof are disclosed. In the method, indoor map data corresponding to a place where a user is located is loaded first, and an indoor image of the place where the user is located is captured to generate an image stream. Next, the image stream is compressed to reduce dimensionality thereof, so as to generate a dimensionality-reduced image. The indoor map data corresponding to the dimensionality-reduced image is obtained from the loaded indoor map data, and a position of the user is determined according to the obtained indoor map data.

Distributed indoor positioning system and method thereof

A positioning system and a positioning method based on magnetic field intensity are provided. The positioning method includes: storing a magnetic fingerprint of a first place; sensing, by a mobile terminal, a magnetic field of the first place to generate sensed data; determining whether the mobile terminal is located inside or outside a vehicle according to the sensed data and the magnetic fingerprint; determining that the mobile terminal is located at a first location of the first place according to the sensed data and the magnetic fingerprint.

Positioning system and positioning method based on magnetic field intensity

Provided are an indoor positioning system and method based on geomagnetic signals in combination with computer vision, including: a computer vision positioning module for acquiring a spatial image of a surrounding environment to create computer vision coordinates; a geomagnetic signal positioning module for detecting trajectories of the geomagnetic signals for creating geomagnetic signal coordinates; a map generating module including a database for storing the created computer vision coordinates and the created geomagnetic signal coordinates, and an inertial measurement unit for detecting a current position and a traveling trajectory, to generate a computer vision map and a geomagnetic data map; and a weighting module for calculating a computer vision weight and a geomagnetic signal weight based on the created computer vision coordinates and the created geomagnetic signal coordinates, and inputting the computer vision weight and the geomagnetic signal weight in a weight equation to estimate a present location.

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Taipei, Taiwan

Hung-Ya Tsai