Gaoge Hu

Orcid: 0000-0002-6173-8426

According to our database1, Gaoge Hu authored at least 12 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Indirect Fuzzy Robust Cubature-Kalman Filter With Normalized Input Parameters.
IEEE Trans. Aerosp. Electron. Syst., October, 2024

Windowing-Based Factor Graph Optimization With Anomaly Detection Using Mahalanobis Distance for Underwater INS/DVL/USBL Integration.
IEEE Trans. Instrum. Meas., 2024

2023
SINS/DVL Linear Initial Alignment Based on Lie Group SE<sub>3</sub>(3).
IEEE Trans. Aerosp. Electron. Syst., October, 2023

A Hypothesis Test-Constrained Robust Kalman Filter for INS/GNSS Integration With Abnormal Measurement.
IEEE Trans. Veh. Technol., February, 2023

Robust Unscented Kalman Filter-Based Decentralized Multisensor Information Fusion for INS/GNSS/CNS Integration in Hypersonic Vehicle Navigation.
IEEE Trans. Instrum. Meas., 2023

2020
Set-Membership Based Hybrid Kalman Filter for Nonlinear State Estimation under Systematic Uncertainty.
Sensors, 2020

Unscented kalman filter with process noise covariance estimation for vehicular ins/gps integration system.
Inf. Fusion, 2020

Model Predictive Based Unscented Kalman Filter for Hypersonic Vehicle Navigation With INS/GNSS Integration.
IEEE Access, 2020

2019
A Robust Cubature Kalman Filter with Abnormal Observations Identification Using the Mahalanobis Distance Criterion for Vehicular INS/GNSS Integration.
Sensors, 2019

Robust Unscented Kalman Filtering With Measurement Error Detection for Tightly Coupled INS/GNSS Integration in Hypersonic Vehicle Navigation.
IEEE Access, 2019

2018
Adaptive Square-Root Unscented Particle Filtering Algorithm for Dynamic Navigation.
Sensors, 2018

Multi-Sensor Optimal Data Fusion Based on the Adaptive Fading Unscented Kalman Filter.
Sensors, 2018


  Loading...