Evaluation of UWB Indoor Intelligent Systems Location Algorithm Based on 6G Edge Cloud and Computer Vision

Authors

  • Wei Zhang School of Urban Construction Engineering, Chongqing Technology and Business Institute, Chongqing Open University, Chongqing 401520, Chongqing, China
  • Xiaolong He

Abstract

In the field of interior design, precise spatial positioning technology is essential for the creation of spaces that are both functional and aesthetically pleasing. Given the difficulty of positioning signal propagation in the indoor environment, it is particularly critical to study an ultra-wideband (UWB) indoor positioning algorithm that combines 6G edge cloud and computer vision technology. In this article, an indoor visual positioning technology for 2D-3Dfeature point matching is proposed. Through the binocular visual information obtained by the depth camera, the indoor image submitted by the user is accurately matched with the feature points stored in the database, thereby determining the coordinate position of the image in three-dimensional space. To improve the operating efficiency of the ultra-wideband system, 6G edge cloud technology is used in this study. When the ultra-wideband
ranging module deviates greatly, the positioning accuracy is guaranteed by switching to the vision subsystem. The federal Kalman filtering program applied in the study enables the root mean square deviation between the estimated coordinates and the actual coordinates to be controlled within 0.3 meters, which significantly improves the reliability of the positioning system. The ultra-wideband indoor positioning algorithm developed in this study is not only suitable for a variety of indoor environments, but also provides important technical support for interior design, helping designers to more accurately grasp the spatial layout and improve the overall quality of design works.

Keywords: ultra-wideband indoor positioning algorithm, computer vision, 6g edge cloud, 2d-3d feature point matching, interior design

Cite As

W. Zhang, X. He, "Evaluation of UWB Indoor Intelligent Systems Location Algorithm Based on 6G Edge Cloud and Computer Vision", Engineering Intelligent Systems, vol. 33 no. 3, pp. 285-294, 2025.




Downloads

Published

2025-05-01

Issue

Vol. 33 No. 3 (2025): International Journal of Engineering Intelligent Systems

Section

Article

License

The submission of a paper implies that, if accepted for publication, it will not be published elsewhere in the same form, in any language, without the prior consent of the publisher. Before publication, authors are requested to assign copyright to CRL Publishing Ltd. This allows CRL to sanction photocopying, and to authorize the reprinting of issues or volumes according to demand. Authors' traditional rights will not be jeopardized by assigning Copyright in this way, as they retain the right to reuse the material following publication, and to veto third-party publication.