An Open-Source Test Environment for Effective Development of MARG-Based Algorithms
This paper presents an open-source environment for development, tuning, and performance evaluation of magnetic, angular rate, and gravity-based (MARG-based) filters, such as pose estimators and classification algorithms. The environment is available in both ROS/Gazebo and MATLAB/Simulink, and it con...
Main Author: | Ákos Odry |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-02-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/21/4/1183 |
Similar Items
-
Research on Gradient-Descent Extended Kalman Attitude Estimation Method for Low-Cost MARG
by: Ning Liu, et al.
Published: (2022-08-01) -
A Novel Fuzzy-Adaptive Extended Kalman Filter for Real-Time Attitude Estimation of Mobile Robots
by: Ákos Odry, et al.
Published: (2020-02-01) -
An Improved Yaw Estimation Algorithm for Land Vehicles Using MARG Sensors
by: Gang Shi, et al.
Published: (2018-09-01) -
Quaternion-Based Robust Attitude Estimation Using an Adaptive Unscented Kalman Filter
by: Antônio C. B. Chiella, et al.
Published: (2019-05-01) -
Development of a Small-sized and Low-cost Attitude Measurement Unit for Agricultural Robot Application
by: Kazunobu Ishıı, et al.
Published: (2018-03-01)