Inertial navigation-fingerprint location-combined positioning error correction method

Abstract

The invention discloses an inertial navigation-fingerprint location-combined positioning error correction method. The method comprises A, determining a reference position, B, in movement, building positioning road signs at intervals by an inertial navigation method and recording the information of the positioning road signs, wherein the information comprises space coordinates, a wireless signal set and inertial navigation errors of a travel distance relative to the reference position, and C, according to the wireless signal set measured in real time, determining if the wireless signal matches with the recorded positioning road sign, and when the recorded positioning road sign is matched, based on coordinates of the matched positioning road sign, calibrating and correcting coordinates determined by the current inertial navigation technology. When the on-site positioning error is small, fingerprint is acquired and is used as a road sign, and through fingerprint coupling, when a user passes through the road sign again, the current position coordinates are calibrated by the small-error position coordinates so that an error estimation range is reduced and positioning precision is improved.

Description

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AI Technical Summary

Benefits of technology

The invention helps locate people accurately by collectively identifying their location from multiple sources such as images or videos captured during an event. By comparing these locations against known ones for better precision, it can help identify any errors that may occur over time.

Problems solved by technology

This patented problem addressed in this patents relates to improving accurate indoor localization systems through satellite navigational technologies called radio frequency identification (RI). However, these methods have their drawbacks: they cannot accurately determine when there'revanes outdoors caused by factors like obstructions within walls, flooring, furniture, and wall corners. These issues limit how effective indoor locating techniques may work because traditional radar tracking requires multiple receivers and reference sensors, making updoor measurements impractical without interfering with surrounding areas.

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