Research graph
References from Robust inertial navigation via deep learning-aided perception and uncertainty-driven fusion. Local targets link to admitted publications; unresolved targets remain external evidence.
A GNSS/INS integrated navigation compensation method based on CNN-GRU + IRAKF hybrid model during GNSS outages
2024 · External reference
Deep-learning-assisted inertial dead reckoning and fusion
10.1109/tim.2024.3502825 · 2025 · External reference
Multipath inflation factor for robust GNSS/IMU/VO fusion-based navigation in urban areas
10.1109/jiot.2025.3535819 · 2025 · External reference
A seamless pedestrian localization system based on GNSS/IMU/UWB/MAP integration
10.1109/jiot.2025.3534190 · 2025 · External reference
An inertial-based integrated navigation robust filtering algorithm based on vehicle model for GNSS failure
10.1109/tim.2024.3484536 · 2024 · External reference
Dynamic process noise covariance adjustment in GNSS/INS integrated navigation using GRU-SAC for enhanced positioning accuracy
10.1109/tits.2025.3540205 · 2025 · External reference
Non-holonomic constraint (NHC)-assisted GNSS/SINS positioning using a vehicle motion state classification (VMSC)-based convolution neural network
10.1007/s10291-023-01483-9 · 2023 · External reference
Residual attention network-based confidence estimation algorithm for non-holonomic constraint in GNSS/INS integrated navigation system
10.1109/tvt.2021.3113500 · 2021 · External reference
An enhanced GNSS/MINS integrated navigation system with a wheel velocity predictor based on vehicle dynamics model
10.1109/tits.2024.3363488 · 2024 · External reference
Mahalanobis distance-based fading cubature Kalman filter with augmented mechanism for hypersonic vehicle INS/CNS autonomous integration
10.1016/j.cja.2021.08.035 · 2022 · External reference
Modified strong tracking unscented Kalman filter for nonlinear state estimation with process model uncertainty
10.1002/acs.2572 · 2015 · External reference
Model predictive based unscented kalman filter for hypersonic vehicle navigation with INS/GNSS integration
10.1109/access.2019.2962832 · 2020 · External reference
A new direct filtering approach to INS/GNSS integration
10.1016/j.ast.2018.03.040 · 2018 · External reference
Covariance matching based adaptive unscented Kalman filter for direct filtering in INS/GNSS integration
10.1016/j.actaastro.2015.12.014 · 2016 · External reference
Random weighting estimation for systematic error of observation model in dynamic vehicle navigation
10.1007/s12555-014-0333-8 · 2016 · External reference
Random weighting method for estimation of error characteristics in SINS/GPS/SAR integrated navigation system
10.1016/j.ast.2015.06.029 · 2015 · External reference
Random weighting estimation of kinematic model error for dynamic navigation
10.1109/taes.2015.100438 · 2015 · External reference
Sage windowing and random weighting adaptive filtering method for kinematic model error
10.1109/taes.2015.130656 · 2015 · External reference
Windowing-based random weighting fitting of systematic model errors for dynamic vehicle navigation
10.1016/j.ins.2014.06.016 · 2014 · External reference
Set-membership based hybrid kalman filter for nonlinear state estimation under systematic uncertainty
10.3390/s20030627 · 2020 · External reference
A novel fitting h-infinity kalman filter for nonlinear uncertain discrete-time systems based on fitting transformation
10.1109/access.2019.2960410 · 2020 · External reference
A derivative UKF for tightly coupled INS/GPS integrated navigation
10.1016/j.isatra.2014.10.006 · 2015 · External reference
Stochastic stability of the derivative unscented Kalman filter
10.1088/1674-1056/24/7/070202 · 2015 · External reference
Constrained cubature particle filter for vehicle navigation
10.3390/s24041228 · 2024 · External reference
Constrained unscented particle filter for SINS/GNSS/ADS integrated airship navigation in the presence of wind field disturbance
10.3390/s19030471 · 2019 · External reference
AI-IMU dead-reckoning
10.1109/tiv.2020.2980758 · 2020 · External reference
SdoNet: speed odometry network and noise adapter for vehicle integrated navigation
10.1109/jiot.2023.3294947 · 2023 · External reference
A lightweight odometry network for GNSS/INS integration during GNSS outages
10.1016/j.asoc.2023.111143 · 2024 · External reference
VANE-IN: velocity auto-encoder for inertial navigation
10.1109/jiot.2024.3486547 · 2025 · External reference
10.1109/case56687.2023.10260407
10.1109/case56687.2023.10260407 · External reference
Adaptive kalman-informed transformer
10.1016/j.engappai.2025.110221 · 2025 · External reference
TL-ESKF: an information fusion method for INS/GPS integrated navigation considering driving state deviation
10.1016/j.eswa.2025.128168 · 2025 · External reference
UVIO: adaptive kalman filtering UWB-aided visual-inertial slam system for complex indoor environments
10.3390/rs16173245 · 2024 · External reference
Robust IMU/GPS/VO integration for vehicle navigation in GNSS degraded urban areas
10.1109/jsen.2020.2989332 · 2020 · External reference
Pole-like object extraction and pole-aided GNSS/IMU/LiDAR-SLAM system in Urban Area
10.3390/s20247145 · 2020 · External reference
Integration of GNSS/INS/OD with PPP-RTK scheme and self-adaptive OD/NHC noise adjustment for vehicle navigation
10.1007/s00190-025-01975-1 · 2025 · External reference
Model-based deep learning for low-cost IMU dead reckoning of wheeled mobile robot
10.1109/tie.2023.3301531 · 2024 · External reference
A robust adaptive error state Kalman filter for MEMS IMU attitude estimation under dynamic acceleration
10.1016/j.measurement.2024.116097 · 2025 · External reference
Contact-aided invariant extended Kalman filtering for robot state estimation
10.1177/0278364919894385 · 2020 · External reference
IMUNet: efficient regression architecture for inertial IMU navigation and positioning
10.1109/tim.2024.3381717 · 2024 · External reference
Transformer IMU calibrator: dynamic on-body IMU calibration for inertial motion capture
10.1145/3730937 · 2025 · External reference
Modified strong tracking unscented Kalman filter for nonlinear state estimation with process model uncertainty
10.1002/acs.2572 · ExternalCitation · doi-reference
Integration of GNSS/INS/OD with PPP-RTK scheme and self-adaptive OD/NHC noise adjustment for vehicle navigation
10.1007/s00190-025-01975-1 · ExternalCitation · doi-reference
Non-holonomic constraint (NHC)-assisted GNSS/SINS positioning using a vehicle motion state classification (VMSC)-based convolution neural network
10.1007/s10291-023-01483-9 · ExternalCitation · doi-reference
Random weighting estimation for systematic error of observation model in dynamic vehicle navigation
10.1007/s12555-014-0333-8 · ExternalCitation · doi-reference
Covariance matching based adaptive unscented Kalman filter for direct filtering in INS/GNSS integration
10.1016/j.actaastro.2015.12.014 · ExternalCitation · doi-reference
A lightweight odometry network for GNSS/INS integration during GNSS outages
10.1016/j.asoc.2023.111143 · ExternalCitation · doi-reference
Random weighting method for estimation of error characteristics in SINS/GPS/SAR integrated navigation system
10.1016/j.ast.2015.06.029 · ExternalCitation · doi-reference
A new direct filtering approach to INS/GNSS integration
10.1016/j.ast.2018.03.040 · ExternalCitation · doi-reference
Mahalanobis distance-based fading cubature Kalman filter with augmented mechanism for hypersonic vehicle INS/CNS autonomous integration
10.1016/j.cja.2021.08.035 · ExternalCitation · doi-reference
Adaptive kalman-informed transformer
10.1016/j.engappai.2025.110221 · ExternalCitation · doi-reference
TL-ESKF: an information fusion method for INS/GPS integrated navigation considering driving state deviation
10.1016/j.eswa.2025.128168 · ExternalCitation · doi-reference
Windowing-based random weighting fitting of systematic model errors for dynamic vehicle navigation
10.1016/j.ins.2014.06.016 · ExternalCitation · doi-reference
A derivative UKF for tightly coupled INS/GPS integrated navigation
10.1016/j.isatra.2014.10.006 · ExternalCitation · doi-reference
A robust adaptive error state Kalman filter for MEMS IMU attitude estimation under dynamic acceleration
10.1016/j.measurement.2024.116097 · ExternalCitation · doi-reference
Stochastic stability of the derivative unscented Kalman filter
10.1088/1674-1056/24/7/070202 · ExternalCitation · doi-reference
A novel fitting h-infinity kalman filter for nonlinear uncertain discrete-time systems based on fitting transformation
10.1109/access.2019.2960410 · ExternalCitation · doi-reference
Model predictive based unscented kalman filter for hypersonic vehicle navigation with INS/GNSS integration
10.1109/access.2019.2962832 · ExternalCitation · doi-reference
10.1109/case56687.2023.10260407
10.1109/case56687.2023.10260407 · ExternalCitation · doi-reference
SdoNet: speed odometry network and noise adapter for vehicle integrated navigation
10.1109/jiot.2023.3294947 · ExternalCitation · doi-reference
VANE-IN: velocity auto-encoder for inertial navigation
10.1109/jiot.2024.3486547 · ExternalCitation · doi-reference
A seamless pedestrian localization system based on GNSS/IMU/UWB/MAP integration
10.1109/jiot.2025.3534190 · ExternalCitation · doi-reference
Multipath inflation factor for robust GNSS/IMU/VO fusion-based navigation in urban areas
10.1109/jiot.2025.3535819 · ExternalCitation · doi-reference
Robust IMU/GPS/VO integration for vehicle navigation in GNSS degraded urban areas
10.1109/jsen.2020.2989332 · ExternalCitation · doi-reference
Random weighting estimation of kinematic model error for dynamic navigation
10.1109/taes.2015.100438 · ExternalCitation · doi-reference
Sage windowing and random weighting adaptive filtering method for kinematic model error
10.1109/taes.2015.130656 · ExternalCitation · doi-reference
Model-based deep learning for low-cost IMU dead reckoning of wheeled mobile robot
10.1109/tie.2023.3301531 · ExternalCitation · doi-reference
IMUNet: efficient regression architecture for inertial IMU navigation and positioning
10.1109/tim.2024.3381717 · ExternalCitation · doi-reference
An inertial-based integrated navigation robust filtering algorithm based on vehicle model for GNSS failure
10.1109/tim.2024.3484536 · ExternalCitation · doi-reference
Deep-learning-assisted inertial dead reckoning and fusion
10.1109/tim.2024.3502825 · ExternalCitation · doi-reference
An enhanced GNSS/MINS integrated navigation system with a wheel velocity predictor based on vehicle dynamics model
10.1109/tits.2024.3363488 · ExternalCitation · doi-reference
Dynamic process noise covariance adjustment in GNSS/INS integrated navigation using GRU-SAC for enhanced positioning accuracy
10.1109/tits.2025.3540205 · ExternalCitation · doi-reference
AI-IMU dead-reckoning
10.1109/tiv.2020.2980758 · ExternalCitation · doi-reference
Residual attention network-based confidence estimation algorithm for non-holonomic constraint in GNSS/INS integrated navigation system
10.1109/tvt.2021.3113500 · ExternalCitation · doi-reference
Transformer IMU calibrator: dynamic on-body IMU calibration for inertial motion capture
10.1145/3730937 · ExternalCitation · doi-reference
Contact-aided invariant extended Kalman filtering for robot state estimation
10.1177/0278364919894385 · ExternalCitation · doi-reference
UVIO: adaptive kalman filtering UWB-aided visual-inertial slam system for complex indoor environments
10.3390/rs16173245 · ExternalCitation · doi-reference
Constrained unscented particle filter for SINS/GNSS/ADS integrated airship navigation in the presence of wind field disturbance
10.3390/s19030471 · ExternalCitation · doi-reference
Set-membership based hybrid kalman filter for nonlinear state estimation under systematic uncertainty
10.3390/s20030627 · ExternalCitation · doi-reference
Pole-like object extraction and pole-aided GNSS/IMU/LiDAR-SLAM system in Urban Area
10.3390/s20247145 · ExternalCitation · doi-reference
Constrained cubature particle filter for vehicle navigation
10.3390/s24041228 · ExternalCitation · doi-reference
