Pedestrian track generation method and device, electronic equipment and storage medium

Abstract

The invention discloses a pedestrian track generation method, which comprises the following steps of: if detecting that a step is ended, acquiring a determined historical output course of a previous step end point, a magnetometer output course of the step end point at the moment and a gyroscope output course of the step end point at the moment; determining the current output course of the step end point at the moment by using the historical output course, the magnetometer output course and the gyroscope output course; generating a pedestrian track by using the current output course and the stride distance; according to the method, the current output course of the stride end point at the moment is jointly determined by using the historical output course, and the magnetometer output course and the gyroscope output course of the stride end point at the moment, so that the problem of course output error caused by time or external interference on a single sensor can be effectively avoided; the reliability of pedestrian positioning by using an internal sensor of the electronic equipment is obviously improved; the invention also discloses a pedestrian track generation device, electronic equipment and a storage medium, which have the above beneficial effects.

Description

technical field [0001] The invention relates to the field of trajectory generation, in particular to a pedestrian trajectory generation method, device, electronic device and storage medium. Background technique [0002] In recent years, with the rapid construction of video surveillance cameras in urban streets and the development of base station positioning technology, the target positioning and tracking of pedestrians has become very common. However, for some places with blind monitoring areas and weak GPS signals, such as remote places such as back streets, underground passages, and forest canyons, it becomes extremely difficult to quickly and accurately locate pedestrians, and better methods are needed to supplement them. As a necessities of people's life, mobile phones can use built-in sensors to reproduce pedestrian trajectories to supplement the generation of pedestrian trajectories. [0003] In the related art, the data of the three-axis acceleration sensor is used t...

AI Technical Summary

Problems solved by technology

Since the maximum acceleration eigenvalue is used as the basis for judging the heading, the output of the three-axis acceleration sensor does not change significantly when pedestrians walk slowly or in place, so the three-axis acceleration sensor cannot output reliable pedestrian directions at any time

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