Design and implementation of indoor positioning system based on computer vision
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School of Communication and Information Engineering, Shanghai University, Shang hai 200444, China

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TP391.7

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    Abstract:

    Now the traditional indoor positioning technology mostly needs to install labels or terminal equipment on the located object, which has great limitations in some specific occasions. Therefore, an indoor positioning system based on computer vision is proposed. The system detects a specific object and obtains its image coordinates through the target detection algorithm, judges whether the object is in the area to be located through the target point determination algorithm, and finally obtains the map coordinates corresponding to the object through the projection transformation algorithm. When the object to be located has no perception, the positioning is completed and the positioning error is within 1m. In order to facilitate users' intuitive observation, the actual map and object position are displayed on the terminal device in the form of web page.

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History
  • Received:
  • Revised:
  • Adopted:
  • Online: June 17,2024
  • Published: