Optical flow based step length estimation for indoor pedestrian navigation on a smartphone

In this paper, an optical flow based step length estimation algorithm for indoor pedestrian navigation is proposed. To address the challenge of interferences arising from hands shaking during walking, the pose of a smartphone is computed by attitude and heading reference system (AHRS) algorithm and...

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Bibliographic Details
Published in2014 IEEE/ION Position, Location and Navigation Symposium - PLANS 2014 pp. 205 - 211
Main Authors Jiuchao Qian, Ling Pei, Danping Zou, Kai Qian, Peilin Liu
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2014
Subjects
AHRS algorithm
Cameras
Computer vision
Estimation
Image motion analysis
indoor pedestrian navigation
optical flow
Optical imaging
Optical sensors
PDR
step length estimation
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Summary:In this paper, an optical flow based step length estimation algorithm for indoor pedestrian navigation is proposed. To address the challenge of interferences arising from hands shaking during walking, the pose of a smartphone is computed by attitude and heading reference system (AHRS) algorithm and used to improve the performance of optical flow algorithm. Moreover, the motion information of pedestrians can be captured by calculating the alteration and relevance between sequential pixels and frames of camera snapshots when steps are detected. Accordingly, online training and calibration of step length estimation in pedestrian dead-reckoning system (PDR) are accomplished. To verify the performance of proposed step length estimation algorithm, several field tests with a smartphone were conducted in various environments. Experimental results show that the proposed algorithm achieves accurate performance in terms of step length estimation.
ISSN:2153-358X
2153-3598
DOI:10.1109/PLANS.2014.6851377