Trajectory reconstruction method, device, computer equipment and storage medium

Abstract

The present application relates to a trajectory reconstruction method and apparatus, a computer device and a storage medium. The method comprises: acquiring inertial sensor data of a terminal device at a plurality of time points and signal strength data of a wireless fidelity network; generating, according to the signal strength data of the wireless fidelity network at each time point, initial positioning coordinates corresponding to each time point; generating, according to the inertial sensor data at each time point, a displacement vector corresponding to each time point; inputting the initial positioning coordinates and displacement vectors corresponding to the time points into a global positioning model, so as to obtain final positioning coordinates of the time points; and performing trajectory reconstruction according to the final positioning coordinates. By means of the method, a more accurate position estimation can be obtained in a complex object motion mode and a wireless propagation environment, thereby improving the accuracy of trajectory reconstruction.

Description

technical field [0001] The present application relates to the technical field of data processing, in particular to a trajectory reconstruction method, device, computer equipment and storage medium. Background technique [0002] With the rapid development of wireless communication network technology, mobile smart terminals are gradually penetrating into all aspects of life, and navigation and mobile smart terminals are also being closely integrated. Global Positioning System (Global Positioning System, GPS) satellite positioning is the key to obtain location information. The most commonly used method, but because satellite signals are easily blocked by various buildings or other factors, GPS positioning technology is not suitable for indoor occasions or complex environments with tall buildings. With the development of wireless electronic mobile communication technology, indoor positioning technology has become a hot research field that researchers pay more and more attention ...

AI Technical Summary

Problems solved by technology

[0003] Traditional indoor navigation technologies collect single data information for indoor positioning and trajectory reconstruction. For example, traditional Bluetooth indoor positioning, WiFi positioning, and ZigBee positioning technologies all use a single measurement data. When a single measurement data has large interference, it will directly lead to large deviations in positioning results, which in turn will affect the reconstructed movement trajectory

[0004] Therefore, it is difficult for traditional indoor navigation technology to effectively represent the observation data collected in a complex wireless propagation environment, so it cannot achieve higher positioning accuracy, and thus cannot restore a more accurate indoor trajectory.

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