2019 IEEE 2nd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE) 2019
DOI: 10.1109/auteee48671.2019.9033423
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Research on indoor/outdoor state switching based on smart phone and GNSS satellite status information

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Cited by 2 publications
(2 citation statements)
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“…Then, they proposed a method for detecting entry into a building by selecting satellites with high-elevation angles among available satellites and tracking the change in the SNR value. A method for detecting outdoor-to-indoor entry has also been proposed using three parameters: the number of satellites that can be acquired, Dilution of Precision (DOP), and SNR [20]. Both methods are effective for movement between outdoor and indoor spaces, but their effectiveness for areas such as TBSs is unclear.…”
Section: Io Detection Methodsmentioning
confidence: 99%
“…Then, they proposed a method for detecting entry into a building by selecting satellites with high-elevation angles among available satellites and tracking the change in the SNR value. A method for detecting outdoor-to-indoor entry has also been proposed using three parameters: the number of satellites that can be acquired, Dilution of Precision (DOP), and SNR [20]. Both methods are effective for movement between outdoor and indoor spaces, but their effectiveness for areas such as TBSs is unclear.…”
Section: Io Detection Methodsmentioning
confidence: 99%
“…In this research, first of all, this paper combines the outdoor World Geodetic System-1984 Coordinate (WGS-84) geographic coordinate system of the GNSS with the indoor relative coordinate system of the LIDAR to complement the lack of vehicle positioning signals in the garage. Second, the indoor and outdoor navigation switching algorithm is used to solve the problem of GNSS positioning error increased at the entrance of the garage, so that the vehicular navigation and positioning trajectory smoothly transitions [18]. Finally, this paper compares the Hector SLAM/INS navigation algorithm based on Kalman filtering with the inertial navigation Dead Reckoning (DR) algorithm to verify the accuracy and robustness of the proposed system.…”
Section: Introductionmentioning
confidence: 99%