Abstract
Tao Zheng, Shuangchao Ge
Abstract
Authors
Institutions
No ROR-resolved institution is linked to this work yet.
Provenance
crossref
Confidence 100%
openalex
Confidence 95%
datacite
Confidence 0%
No local reference links have been materialized yet.
No local citing links have been materialized yet.
A GNSS/INS integrated navigation compensation method based on CNN-GRU + IRAKF hybrid model during GNSS outages
2024
Deep-learning-assisted inertial dead reckoning and fusion
10.1109/tim.2024.3502825 · 2025
Multipath inflation factor for robust GNSS/IMU/VO fusion-based navigation in urban areas
10.1109/jiot.2025.3535819 · 2025
A seamless pedestrian localization system based on GNSS/IMU/UWB/MAP integration
10.1109/jiot.2025.3534190 · 2025
An inertial-based integrated navigation robust filtering algorithm based on vehicle model for GNSS failure
10.1109/tim.2024.3484536 · 2024
Dynamic process noise covariance adjustment in GNSS/INS integrated navigation using GRU-SAC for enhanced positioning accuracy
10.1109/tits.2025.3540205 · 2025
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
Residual attention network-based confidence estimation algorithm for non-holonomic constraint in GNSS/INS integrated navigation system
10.1109/tvt.2021.3113500 · 2021
An enhanced GNSS/MINS integrated navigation system with a wheel velocity predictor based on vehicle dynamics model
10.1109/tits.2024.3363488 · 2024
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
Modified strong tracking unscented Kalman filter for nonlinear state estimation with process model uncertainty
10.1002/acs.2572 · 2015
Model predictive based unscented kalman filter for hypersonic vehicle navigation with INS/GNSS integration
10.1109/access.2019.2962832 · 2020
A new direct filtering approach to INS/GNSS integration
10.1016/j.ast.2018.03.040 · 2018
Covariance matching based adaptive unscented Kalman filter for direct filtering in INS/GNSS integration
10.1016/j.actaastro.2015.12.014 · 2016
Random weighting estimation for systematic error of observation model in dynamic vehicle navigation
10.1007/s12555-014-0333-8 · 2016
Random weighting method for estimation of error characteristics in SINS/GPS/SAR integrated navigation system
10.1016/j.ast.2015.06.029 · 2015
Random weighting estimation of kinematic model error for dynamic navigation
10.1109/taes.2015.100438 · 2015
Sage windowing and random weighting adaptive filtering method for kinematic model error
10.1109/taes.2015.130656 · 2015
Windowing-based random weighting fitting of systematic model errors for dynamic vehicle navigation
10.1016/j.ins.2014.06.016 · 2014
Set-membership based hybrid kalman filter for nonlinear state estimation under systematic uncertainty
10.3390/s20030627 · 2020
A novel fitting h-infinity kalman filter for nonlinear uncertain discrete-time systems based on fitting transformation
10.1109/access.2019.2960410 · 2020
A derivative UKF for tightly coupled INS/GPS integrated navigation
10.1016/j.isatra.2014.10.006 · 2015
Stochastic stability of the derivative unscented Kalman filter
10.1088/1674-1056/24/7/070202 · 2015
Constrained cubature particle filter for vehicle navigation
10.3390/s24041228 · 2024
Constrained unscented particle filter for SINS/GNSS/ADS integrated airship navigation in the presence of wind field disturbance
10.3390/s19030471 · 2019
AI-IMU dead-reckoning
10.1109/tiv.2020.2980758 · 2020
SdoNet: speed odometry network and noise adapter for vehicle integrated navigation
10.1109/jiot.2023.3294947 · 2023
A lightweight odometry network for GNSS/INS integration during GNSS outages
10.1016/j.asoc.2023.111143 · 2024
VANE-IN: velocity auto-encoder for inertial navigation
10.1109/jiot.2024.3486547 · 2025
10.1109/case56687.2023.10260407
10.1109/case56687.2023.10260407
Adaptive kalman-informed transformer
10.1016/j.engappai.2025.110221 · 2025
TL-ESKF: an information fusion method for INS/GPS integrated navigation considering driving state deviation
10.1016/j.eswa.2025.128168 · 2025
UVIO: adaptive kalman filtering UWB-aided visual-inertial slam system for complex indoor environments
10.3390/rs16173245 · 2024
Robust IMU/GPS/VO integration for vehicle navigation in GNSS degraded urban areas
10.1109/jsen.2020.2989332 · 2020
Pole-like object extraction and pole-aided GNSS/IMU/LiDAR-SLAM system in Urban Area
10.3390/s20247145 · 2020
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
Model-based deep learning for low-cost IMU dead reckoning of wheeled mobile robot
10.1109/tie.2023.3301531 · 2024
A robust adaptive error state Kalman filter for MEMS IMU attitude estimation under dynamic acceleration
10.1016/j.measurement.2024.116097 · 2025
Contact-aided invariant extended Kalman filtering for robot state estimation
10.1177/0278364919894385 · 2020
IMUNet: efficient regression architecture for inertial IMU navigation and positioning
10.1109/tim.2024.3381717 · 2024
Transformer IMU calibrator: dynamic on-body IMU calibration for inertial motion capture
10.1145/3730937 · doi-reference
IMUNet: efficient regression architecture for inertial IMU navigation and positioning
10.1109/tim.2024.3381717 · doi-reference
Contact-aided invariant extended Kalman filtering for robot state estimation
10.1177/0278364919894385 · doi-reference
A robust adaptive error state Kalman filter for MEMS IMU attitude estimation under dynamic acceleration
10.1016/j.measurement.2024.116097 · doi-reference
Model-based deep learning for low-cost IMU dead reckoning of wheeled mobile robot
10.1109/tie.2023.3301531 · 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 · doi-reference
Pole-like object extraction and pole-aided GNSS/IMU/LiDAR-SLAM system in Urban Area
10.3390/s20247145 · doi-reference
Robust IMU/GPS/VO integration for vehicle navigation in GNSS degraded urban areas
10.1109/jsen.2020.2989332 · doi-reference
UVIO: adaptive kalman filtering UWB-aided visual-inertial slam system for complex indoor environments
10.3390/rs16173245 · doi-reference
TL-ESKF: an information fusion method for INS/GPS integrated navigation considering driving state deviation
10.1016/j.eswa.2025.128168 · doi-reference
Adaptive kalman-informed transformer
10.1016/j.engappai.2025.110221 · doi-reference
10.1109/case56687.2023.10260407
10.1109/case56687.2023.10260407 · doi-reference
VANE-IN: velocity auto-encoder for inertial navigation
10.1109/jiot.2024.3486547 · doi-reference
A lightweight odometry network for GNSS/INS integration during GNSS outages
10.1016/j.asoc.2023.111143 · doi-reference
SdoNet: speed odometry network and noise adapter for vehicle integrated navigation
10.1109/jiot.2023.3294947 · doi-reference
AI-IMU dead-reckoning
10.1109/tiv.2020.2980758 · doi-reference
Constrained unscented particle filter for SINS/GNSS/ADS integrated airship navigation in the presence of wind field disturbance
10.3390/s19030471 · doi-reference
Constrained cubature particle filter for vehicle navigation
10.3390/s24041228 · doi-reference
Stochastic stability of the derivative unscented Kalman filter
10.1088/1674-1056/24/7/070202 · doi-reference
A derivative UKF for tightly coupled INS/GPS integrated navigation
10.1016/j.isatra.2014.10.006 · doi-reference
A novel fitting h-infinity kalman filter for nonlinear uncertain discrete-time systems based on fitting transformation
10.1109/access.2019.2960410 · doi-reference
Set-membership based hybrid kalman filter for nonlinear state estimation under systematic uncertainty
10.3390/s20030627 · doi-reference
Windowing-based random weighting fitting of systematic model errors for dynamic vehicle navigation
10.1016/j.ins.2014.06.016 · doi-reference
Sage windowing and random weighting adaptive filtering method for kinematic model error
10.1109/taes.2015.130656 · doi-reference
Random weighting estimation of kinematic model error for dynamic navigation
10.1109/taes.2015.100438 · doi-reference
Random weighting method for estimation of error characteristics in SINS/GPS/SAR integrated navigation system
10.1016/j.ast.2015.06.029 · doi-reference
Random weighting estimation for systematic error of observation model in dynamic vehicle navigation
10.1007/s12555-014-0333-8 · doi-reference
Covariance matching based adaptive unscented Kalman filter for direct filtering in INS/GNSS integration
10.1016/j.actaastro.2015.12.014 · doi-reference
A new direct filtering approach to INS/GNSS integration
10.1016/j.ast.2018.03.040 · doi-reference
Model predictive based unscented kalman filter for hypersonic vehicle navigation with INS/GNSS integration
10.1109/access.2019.2962832 · doi-reference
Modified strong tracking unscented Kalman filter for nonlinear state estimation with process model uncertainty
10.1002/acs.2572 · 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 · doi-reference
An enhanced GNSS/MINS integrated navigation system with a wheel velocity predictor based on vehicle dynamics model
10.1109/tits.2024.3363488 · doi-reference
Residual attention network-based confidence estimation algorithm for non-holonomic constraint in GNSS/INS integrated navigation system
10.1109/tvt.2021.3113500 · 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 · doi-reference
Dynamic process noise covariance adjustment in GNSS/INS integrated navigation using GRU-SAC for enhanced positioning accuracy
10.1109/tits.2025.3540205 · doi-reference
An inertial-based integrated navigation robust filtering algorithm based on vehicle model for GNSS failure
10.1109/tim.2024.3484536 · doi-reference
A seamless pedestrian localization system based on GNSS/IMU/UWB/MAP integration
10.1109/jiot.2025.3534190 · doi-reference
Multipath inflation factor for robust GNSS/IMU/VO fusion-based navigation in urban areas
10.1109/jiot.2025.3535819 · doi-reference
Deep-learning-assisted inertial dead reckoning and fusion
10.1109/tim.2024.3502825 · doi-reference