Vehicle localization during GPS outages with extended Kalman filter and deep learning

J Liu, G Guo - IEEE Transactions on Instrumentation and …, 2021 - ieeexplore.ieee.org
Integration of microelectromechanical system-based inertial navigation system (MEMS-INS)
and global positioning system (GPS) is a promising approach to vehicle localization …

Enhancing localization accuracy of MEMS-INS/GPS/in-vehicle sensors integration during GPS outages

Q Xu, X Li, CY Chan - IEEE Transactions on Instrumentation …, 2018 - ieeexplore.ieee.org
In this paper, we propose a novel localization methodology to enhance the accuracy from
two aspects, ie, adapting to the uncertain noise of microelectromechanical system-based …

Increasing GPS localization accuracy with reinforcement learning

E Zhang, N Masoud - IEEE Transactions on Intelligent …, 2020 - ieeexplore.ieee.org
Automated vehicles are envisioned to be an integral part of the next generation of
transportation systems. Whether it is striving for full autonomy or incorporating more …

Integration of GPS, monocular vision, and high definition (HD) map for accurate vehicle localization

H Cai, Z Hu, G Huang, D Zhu, X Su - Sensors, 2018 - mdpi.com
Self-localization is a crucial task for intelligent vehicles. Existing localization methods usually
require high-cost IMU (Inertial Measurement Unit) or expensive LiDAR sensors (eg …

GOI: A novel design for vehicle positioning and trajectory prediction under urban environments

Z Xiao, P Li, V Havyarimana, GM Hassana… - IEEE Sensors …, 2018 - ieeexplore.ieee.org
In this paper, we propose a new paradigm of GPS and OBD Integration (GOI) based on GPS
receiver and on-board diagnostics (OBD) reader, which offers a feasible way for large-scale …

Performance enhancement of MEMS-based INS/GPS integration for low-cost navigation applications

A Noureldin, TB Karamat, MD Eberts… - IEEE Transactions on …, 2008 - ieeexplore.ieee.org
The relatively high cost of inertial navigation systems (INSs) has been preventing their
integration with global positioning systems (GPSs) for land-vehicle applications. Inertial …

Predicting the noise covariance with a multitask learning model for Kalman filter-based GNSS/INS integrated navigation

F Wu, H Luo, H Jia, F Zhao, Y Xiao… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In the recent years, the availability of accurate vehicle position becomes more urgent. The
global navigation satellite systems/inertial navigation system (GNSS/INS) is the most used …

Interacting multiple model filter-based sensor fusion of GPS with in-vehicle sensors for real-time vehicle positioning

K Jo, K Chu, M Sunwoo - IEEE Transactions on Intelligent …, 2011 - ieeexplore.ieee.org
Vehicle position estimation for intelligent vehicles requires not only highly accurate position
information but reliable and continuous information provision as well. A low-cost Global …

A reliable fusion positioning strategy for land vehicles in GPS-denied environments based on low-cost sensors

X Li, Q Xu - IEEE Transactions on Industrial Electronics, 2016 - ieeexplore.ieee.org
How to achieve reliable and accurate positioning performance using low-cost sensors is one
of the main challenges for land vehicles. This paper proposes a novel fusion positioning …

Improving estimation of vehicle's trajectory using the latest global positioning system with Kalman filtering

C Barrios, Y Motai - IEEE Transactions on Instrumentation and …, 2011 - ieeexplore.ieee.org
This paper proposes several extensive methods to predict the future location of an
automobile. The goals of this paper are to find a more accurate way to predict the future …