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Positioning method and positioning system based on vision aid

A positioning method and visual technology, applied in surveying and mapping, navigation, measuring devices, instruments, etc., can solve the problems of reduced positioning accuracy and large errors of PDR

Active Publication Date: 2018-06-01
SHANGHAI JIAO TONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the drift in the inertial sensor data, this error will become larger and larger over time, causing the accuracy of the PDR positioning to decrease over time

Method used

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  • Positioning method and positioning system based on vision aid
  • Positioning method and positioning system based on vision aid
  • Positioning method and positioning system based on vision aid

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Embodiment Construction

[0132] The present invention will be described in detail below in conjunction with specific embodiments. The following examples will help those skilled in the art to further understand the present invention, but do not limit the present invention in any form. It should be noted that those skilled in the art can make several modifications and improvements without departing from the concept of the present invention. These all belong to protection domain of the present invention.

[0133] In describing the present invention, it is to be understood that the terms "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", The orientation or positional relationship indicated by "bottom", "inner", "outer", etc. is based on the orientation or positional relationship shown in the drawings, and is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying the referred device Or elements mus...

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PUM

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Abstract

The invention provides a positioning method based on vision aid, which comprises the following steps: 1) a data collection and determination step, in which inertial sensor data from an inertial sensoris acquired, and occurrence of gait motion is determined according to the inertial sensor data; 2) a step size estimation step, when the gait motion occurs, the step size is estimated according to the inertial sensor data; 3) a yaw angle calculation step, wherein vision data from a vision gyroscope is obtained, and Kalman filtering is carried out to the vision data and the inertial sensor data toobtain yaw angle; 4) a position calculation step, wherein according to the step size and the yaw angle, position information is obtained through calculation. Correspondingly, the invention provides apositioning system based on vision aid. The method not only fuses moving direction of pedestrians but also performs a large quantity of offline measurement on the step size estimation in order to find optimum step size factor, thus supplying reliable guarantee for indoor positioning of the pedestrians.

Description

technical field [0001] The present invention relates to indoor positioning technology, in particular to a visual aid-based positioning method and system. Background technique [0002] Location-based services have important applications in the military, first aid, and commercial fields. However, GNSS (Global Navigation Satellite System), which is dominant outdoors, cannot provide positioning services indoors. The increasing popularity of smart phones is undoubtedly the main carrier of location-based services in personal applications, and the rich environmental perception capabilities of smart phones make them capable of locating users indoors. [0003] With the popularity of cheap IMU sensors based on Micro-Electro-Mechanical Systems (MEMS), pedestrian dead reckoning (Pedestrian Dead Reckoning, PDR) has become a research hotspot in the field of indoor positioning in the past 10 years. The traditional PDR positioning method is to gradually and iteratively obtain the indoor p...

Claims

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Application Information

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IPC IPC(8): G01C21/16G01C21/20
CPCG01C21/165G01C21/206
Inventor 裴凌刘坤邹丹平郁文贤
Owner SHANGHAI JIAO TONG UNIV
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