Adaptive Unscented Kalman Filter for Robot Navigation Problem (Adaptive Unscented Kalman Filter Using Incorporating Intuitionistic Fuzzy Logic for Concurrent Localization and Mapping)-Reference-Cited by-同舟云学术

Adaptive Unscented Kalman Filter for Robot Navigation Problem (Adaptive Unscented Kalman Filter Using Incorporating Intuitionistic Fuzzy Logic for Concurrent Localization and Mapping)

Published:2022 Issue: Volume:10 Page:101869-101879
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Fang Yong¹,Panah Amir²,Masoudi Javad³,Barzegar Behnam²^ORCID,Fatehi Saeed⁴

Affiliation:

1. Department of Traffic and Transportation, Chongqing Jiaotong University, Chongqing, China

2. Department of Computer Engineering, Babol Branch, Islamic Azad University, Babol, Iran

3. Department of Computer Engineering, Sari Branch, Islamic Azad University, Sari, Iran

4. Department of Computer Engineering, University College of Allameh Helli Chalus, Chalus, Iran

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09895223.pdf?arnumber=9895223

Reference28 articles.

1. A mutated FastSLAM using soft computing

2. Actuator Fluid Control Using Fuzzy Feedback for Soft Robotics Activities

3. Nonlinear system identification based on Takagi-Sugeno fuzzy modeling and unscented Kalman filter

4. Endoscope navigation with SLAM-based registration to computed tomography for transoral surgery

5. Implementation of Fuzzy Aided Kalman Filter for Tracking a Moving Object in Two-Dimensional Space

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