A DFA Approach for Motion Model Selection in Sensor Fusion-Reference-Cited by-同舟云学术

A DFA Approach for Motion Model Selection in Sensor Fusion

Published:2022-03-13 Issue: Volume:9 Page:33-37
ISSN:2313-0512
Container-title:International Journal of Fuzzy Systems and Advanced Applications
language:en
Short-container-title:

Author:

Bostanci Erkan¹

Affiliation:

1. Computer Engineering Department, Ankara University, 50. Yil Campus, I Blok, Golbasi, Ankara, 06830, Turkey

Abstract

This paper investigates the use of different motion models in order to choose the most suitable one, and eventually reduce the Kalman filter errors in sensor fusion for user tracking applications. A Deterministic Finite Automaton (DFA) was employed using the innovation parameters of the filter. Results show that the approach presented here reduces the filter error compared to a static model and prevents filter divergence.

Publisher

North Atlantic University Union (NAUN)

Subject

Materials Chemistry

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