Area of research
Aerospace Engineering · Artificial Intelligence
Research interest
Research interests include Computer science, Kalman filter, GNSS applications, Extended Kalman filter, Bayesian probability, and Robustness (evolution).
An Improved YOLOP Lane-Line Detection Utilizing Feature Shift Aggregation for Intelligent Agricultural Machinery
Advanced Fiber Optic Sensing Technology in Aerospace: Packaging, Bonding, and Calibration Review
Missile-Borne Infrared Attitude Measurement, Interference Compensation, and Fusion Estimation Method: A Review
Analysis and Prediction of Spatiotemporal Distribution of Accidents at Highway-rail Grade Crossings Caused by Different Causes
On autonomous transportation systems
A Novel Calibration Method for Tri-axial Magnetometers Based on an Expanded Error Model and a Two-step Total Least Square Algorithm
Improved high-degree cubature Kalman filter based on resampling-free sigma-point update framework and its application for inertial navigation system-based integrated navigation
Blind Robust Multi-Horizon EFIR Filter for Tightly Integrating INS and UWB
Spatiotemporal prediction of air quality based on LSTM neural network
On Sigma-Point Update of Cubature Kalman Filter for GNSS/INS Under GNSS-Challenged Environment
Indoor INS/LiDAR-Based Robot Localization With Improved Robustness Using Cascaded FIR Filter
Robust cubature Kalman filter based on variational Bayesian and transformed posterior sigma points error
Robust cubature Kalman filter for GNSS/INS with missing observations and colored measurement noise
Performance analysis of improved iterated cubature Kalman filter and its application to GNSS/INS
Improving ultrasonic-based seamless navigation for indoor mobile robots utilizing EKF and LS-SVM