Application of the unscented Kalman filter in position estimation a case study on a robot for precise positioning-Reference-Cited by-同舟云学术

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Application of the unscented Kalman filter in position estimation a case study on a robot for precise positioning

Published:2022-01 Issue: Volume:147 Page:103904
ISSN:0921-8890
Container-title:Robotics and Autonomous Systems
language:en
Short-container-title:Robotics and Autonomous Systems

Author:

Naab Christoph,Zheng Zhuoxun^ORCID

Publisher

Elsevier BV

Subject

Computer Science Applications,General Mathematics,Software,Control and Systems Engineering

Reference19 articles.

1. Multiple sensor fusion for detection, classification and tracking of moving objects in driving environments;Chavez-Garcia,2014

2. New extension of the Kalman filter to nonlinear systems;Julier,1997

3. Sensor fusion based model for collision free mobile robot navigation;Almasri;Sensors,2016

4. The unscented Kalman filter for nonlinear estimation;Wan,2000

5. Trimble S9/S9 HP,2018

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