Indoor Wireless Positioning Utilizing WSN and Machine Vision-Reference-Cited by-同舟云学术

Indoor Wireless Positioning Utilizing WSN and Machine Vision

Published:2013-06 Issue: Volume:325-326 Page:1041-1044
ISSN:1662-7482
Container-title:Applied Mechanics and Materials
language:
Short-container-title:AMM

Author:

Wang Zeng Yu¹,Xu Yuan²,Li Qing Hua²

Affiliation:

1. Linyi University

2. Shandong Polytechnic University

Abstract

It is a challenging issue to develop optimal real-time target tracking methods for automobile in the small areas such as urban and indoor environments. In order to get comprehensive navigation information, a target tracking system utilizing ultrasound and machine vision is proposed. In this system, the position, velocity and the yaw in the relative coordinate are used as the state variables, the ultrasound is used to measure the distance between the reference node and the blind node, and the yaw of the automobile is measured by the machine vision. Then, the extended Kalman filter is used to fuse the information measured from local estimators in the proposed method. Simulations show that the position error of the proposed approach is about 0.2m and the velocity error of the proposed approach is about 0.1 m/s.

Publisher

Trans Tech Publications, Ltd.

Link

https://www.scientific.net/AMM.325-326.1041.pdf

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