An Indoor Positioning Approach based on Vision and INS
Pages 135 - 140
Abstract
Aiming at the problems of poor real-time performance of indoor visual positioning and low positioning accuracy caused by mismatching, an indoor combined positioning method based on vision and INS (Inertial navigation system) was proposed. The method uses the position information calculated by the INS solution to establish an offline search list, and narrows the search range while suppressing mismatch. Image acceleration points are quickly extracted using accelerated robust features to obtain visual positioning positions. The INS position information and the visual position information are fused by the Kalman filter, and the feedback correction of the INS position information is realized. The experimental results show that the combined positioning method can effectively improve the visual positioning calculation efficiency and indoor positioning accuracy.
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Index Terms
- An Indoor Positioning Approach based on Vision and INS
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Published In
December 2022
365 pages
ISBN:9781450398039
DOI:10.1145/3579895
Copyright © 2022 ACM.
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Association for Computing Machinery
New York, NY, United States
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Published: 04 April 2023
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ICNCC 2022
ICNCC 2022: 2022 The 11th International Conference on Networks, Communication and Computing
December 9 - 11, 2022
Beijing, China
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