INS Aided GNSS Pseudo-range Error Prediction Using Machine Learning for Urban Vehicle Navigation

T Zhang, L Zhou, X Feng, J Shi, Q Zhang… - IEEE Sensors …, 2024 - ieeexplore.ieee.org
Global navigation satellite system (GNSS) is being extensively applied in different
navigation applications. However, GNSS direct signals are easily affected by multipath and …

GNSS Pseudorange Correction Using Machine Learning in Urban Areas

Q Cheng, R Sun - Positioning and Navigation Using Machine Learning …, 2024 - Springer
GNSS signals are easily blocked and reflected by high buildings in urban areas, causing
non-line-of-sight (NLOS) and multipath errors. These errors deteriorate the accuracy of …

A Long Short-Term Memory-Based INS Error Modeling Algorithm for GNSS/INS Integrated Navigation in Urban Environments

L Jiang, R Sun - China Satellite Navigation Conference, 2022 - Springer
Without the assistance of GNSS, errors in low-cost INS will spread rapidly resulting in a
steady decline in accuracy. Yet, GNSS signals are easily blocked by various obstacles in …

IP3/DR-A low-cost precise and robust GNSS/INS integrated navigation system for land vehicles

H Yang, H Lan, F Liu, Y Gao… - 2020 IEEE 91st …, 2020 - ieeexplore.ieee.org
As an advanced and efficient high-precision positioning technology, Precise Point
Positioning (PPP) is capable of providing precise navigation solutions globally with the …

GNSS/IMU/map-matching feedback integration with adaptive GNSS accuracy estimation by using low-quality sensors for vehicle localization in urban canyon

J Wang, W Chen, D Weng - Measurement, 2025 - Elsevier
In urban canyons, the performance of vehicle navigation systems based on Global
Navigation Satellite System (GNSS) and Inertial Measurement Unit (IMU) is notably …

MT-e&R: NMEA Protocol-Assisted High-Accuracy Navigation Algorithm Based on GNSS Error Estimation Using Multitask Learning

L Bao, H Luo, X Gao, B Ning, F Zhao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Accurate location data of ground vehicles is very important for various intelligent
transportation applications. As one of the most commonly-used navigation solutions at …

A GRU and AKF-based hybrid algorithm for improving INS/GNSS navigation accuracy during GNSS outage

Y Tang, J Jiang, J Liu, P Yan, Y Tao, J Liu - Remote Sensing, 2022 - mdpi.com
The integrated navigation system consisting of an inertial navigation system (INS) and
Global Navigation Satellite System (GNSS) provides continuous high-accuracy positioning …

A LSTM algorithm estimating pseudo measurements for aiding INS during GNSS signal outages

W Fang, J Jiang, S Lu, Y Gong, Y Tao, Y Tang, P Yan… - Remote sensing, 2020 - mdpi.com
Aiming to improve the navigation accuracy during global navigation satellite system (GNSS)
outages, an algorithm based on long short-term memory (LSTM) is proposed for aiding …

A method for estimating the positioning accuracy of vehicles in urban environments

D Gao, HB Zhao, C Zhuang - … of the 35th International Technical Meeting of …, 2022 - ion.org
GNSS-based positioning system could provide accurate and real-time positioning
information. It is necessary to meet the requirements of GNSS positioning performance in …

An SVM based weight scheme for improving kinematic GNSS positioning accuracy with low-cost GNSS receiver in urban environments

Z Lyu, Y Gao - Sensors, 2020 - mdpi.com
High-precision positioning with low-cost global navigation satellite systems (GNSS) in urban
environments remains a significant challenge due to the significant multipath effects, non …