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Soft Computing

, Volume 22, Issue 8, pp 2619–2632 | Cite as

Sensor fusion of camera, GPS and IMU using fuzzy adaptive multiple motion models

  • Erkan Bostanci
  • Betul Bostanci
  • Nadia Kanwal
  • Adrian F. Clark
Methodologies and Application

Abstract

A tracking system that will be used for augmented reality applications has two main requirements: accuracy and frame rate. The first requirement is related to the performance of the pose estimation algorithm and how accurately the tracking system can find the position and orientation of the user in the environment. Accuracy problems of current tracking devices, considering that they are low-cost devices, cause static errors during this motion estimation process. The second requirement is related to dynamic errors (the end-to-end system delay, occurring because of the delay in estimating the motion of the user and displaying images based on this estimate). This paper investigates combining the vision-based estimates with measurements from other sensors, GPS and IMU, in order to improve the tracking accuracy in outdoor environments. The idea of using Fuzzy Adaptive Multiple Models was investigated using a novel fuzzy rule-based approach to decide on the model that results in improved accuracy and faster convergence for the fusion filter. Results show that the developed tracking system is more accurate than a conventional GPS–IMU fusion approach due to additional estimates from a camera and fuzzy motion models. The paper also presents an application in cultural heritage context running at modest frame rates due to the design of the fusion algorithm.

Keywords

Sensor fusion Fuzzy adaptive motion models Camera GPS IMU 

Notes

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2017

Authors and Affiliations

  • Erkan Bostanci
    • 1
  • Betul Bostanci
    • 2
  • Nadia Kanwal
    • 3
  • Adrian F. Clark
    • 4
  1. 1.Computer Engineering DepartmentAnkara UniversityGolbasiTurkey
  2. 2.HAVELSAN Inc.AnkaraTurkey
  3. 3.Lahore College for Women UniversityLahorePakistan
  4. 4.School of Computer Science and Electronic EngineeringUniversity of EssexEssexUK

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