A GRU and AKF-Based Hybrid Algorithm for Improving INS/GNSS Navigation Accuracy during GNSS Outage [PDF]
Remote Sensing, 2022 The integrated navigation system consisting of an inertial navigation system (INS) and Global Navigation Satellite System (GNSS) provides continuous high-accuracy positioning whereas the navigation accuracy during a GNSS outage inevitably degrades owing to INS error divergence.
Yanan Tang +5 more
openaire +3 more sources
Numerical Analysis of GNSS Signal Outage Effect on EOPs Solutions Using Tightly Coupled GNSS/IMU Integration: A Simulated Case Study in Sweden. [PDF]
Sensors (Basel), 2023 The absence of a reliable Global Navigation Satellite System (GNSS) signal leads to degraded position robustness in standalone receivers. To address this issue, integrating GNSS with inertial measurement units (IMUs) can improve positioning accuracy ...
Jouybari A +2 more
europepmc +2 more sources
A Hybrid Data Fusion Approach to AI-Assisted Indirect Centralized Integrated SINS/GNSS Navigation System During GNSS Outage [PDF]
IEEE Access, 2021 The main challenges for integration between low-cost strap-down inertial navigation system (SINS) and global navigation satellite system (GNSS) are to manage the non-Gaussian measurement noises and to access the reliable measurements during GNSS outages.
Elahe Sadat Abdolkarimi +3 more
openaire +3 more sources
Remote Sensing, 2022 In the fields of positioning and navigation, the integrated inertial navigation system (INS)/global navigation satellite systems (GNSS) are frequently employed. Currently, high-precision INS typically utilizes fiber optic gyroscopes (FOGs) and quartz flexural accelerometers (QFAs) rather than MEMS sensors.
Shuai Zhao, Yilan Zhou, Tengchao Huang
openaire +3 more sources
Artificial neural network based on strong track and square root UKF for INS/GNSS intelligence integrated system during GPS outage. [PDF]
Sci RepWhen INS/GNSS (inertial navigation system/global navigation satellite system) integrated system is applied, it will be affected by the insufficient number of visible satellites, and even the satellite signal will be lost completely.
Yang Y, Wang X, Zhang N, Gao Z, Li Y.
europepmc +2 more sources
Robust Multi-Sensor Fusion for Localization in Hazardous Environments Using Thermal, LiDAR, and GNSS Data. [PDF]
Sensors (Basel)Navigation for autonomous robots in hazardous environments demands robust localization solutions. In challenging environments such as tunnels and urban disaster areas, autonomous robots and vehicles are particularly important for search and rescue ...
Schichler L, Festl K, Solmaz S.
europepmc +2 more sources
Position and Attitude Determination in Urban Canyon with Tightly Coupled Sensor Fusion and a Prediction-Based GNSS Cycle Slip Detection Using Low-Cost Instruments. [PDF]
Sensors (Basel), 2023 We present a position and attitude estimation algorithm of moving platforms based on the tightly coupled sensor fusion of low-cost multi baseline GNSS, inertial, magnetic and barometric observations obtained by low-cost sensors and affordable dual ...
Vanek B, Farkas M, Rózsa S.
europepmc +2 more sources
IMPACT OF GNSS SIGNAL OUTAGE ON EOPS USING FORWARD KALMAN FILTER AND SMOOTHING ALGORITHM
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 Abstract. The global navigation satellite system (GNSS) has been playing the principal role in positioning applications in past decades. Position robustness degrades with a standalone receiver due to GNSS signal outage in mobile mapping systems. The GNSS and inertial measurement unit (IMU) integration is used to solve positioning degradation.
A. Jouybari +4 more
openaire +5 more sources
An Integrated INS/LiDAR SLAM Navigation System for GNSS-Challenging Environments. [PDF]
Sensors (Basel), 2022 Traditional navigation systems rely on GNSS/inertial navigation system (INS) integration, in which the INS can provide reliable positioning during short GNSS outages.
Abdelaziz N, El-Rabbany A.
europepmc +2 more sources
Bridging GNSS Outages with IMU and Odometry: A Case Study for Agricultural Vehicles. [PDF]
Sensors (Basel), 2021 Nowadays, many precision farming applications rely on the use of GNSS-RTK. However, when it comes to autonomous agricultural vehicles, GNSS cannot be used as a stand-alone system for positioning. To ensure high availability and robustness of the positioning solution, GNSS-RTK must be fused with additional sensors.
Reitbauer E, Schmied C.
europepmc +5 more sources