Enhancing Indoor Position Estimation Accuracy: Integration of Accelerometer, Raw Distance Data, and Extended Kalman Filter in Comparison to Vicon Motion Capture Data-Reference-Cited by-同舟云学术

Enhancing Indoor Position Estimation Accuracy: Integration of Accelerometer, Raw Distance Data, and Extended Kalman Filter in Comparison to Vicon Motion Capture Data

Published:2023-11-15 Issue: Volume: Page:
ISSN:
Container-title:ECSA 2023
language:
Short-container-title:

Author:

Bodrumlu Tolga¹^ORCID,Çalışkan Fikret²^ORCID

Affiliation:

1. Mechatronics Engineering Department, Istanbul Technical University, Istanbul 34025, Turkey

2. Control and Automation Engineering Department, Istanbul Technical University, Istanbul 34025, Turkey

Publisher

MDPI

Link

https://www.mdpi.com/2673-4591/58/1/40/pdf

Reference10 articles.

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5. Heimovirta, E., Salantera, S., and Röning, J. (2014, January 2–5). Real-Time Indoor Localization Using Ultra-Wideband Technology. Proceedings of the 11th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, London, UK.

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