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 …

EM-IMM based land-vehicle navigation with GPS/INS

D Huang, H Leung - … The 7th International IEEE Conference on …, 2004 - ieeexplore.ieee.org
Integration of the global positioning system (GPS) with the inertial navigation system (INS) is
favorable since it provides enhanced positioning accuracy. Its implementation is essentially …

Kalman filter-based integration of DGPS and vehicle sensors for localization

S Rezaei, R Sengupta - IEEE transactions on control systems …, 2007 - ieeexplore.ieee.org
We present a position estimation scheme for cars based on the integration of global
positioning system (GPS) with vehicle sensors. The aim is to achieve enough accuracy to …

Kinematic and dynamic vehicle model-assisted global positioning method for autonomous vehicles with low-cost GPS/camera/in-vehicle sensors

H Min, X Wu, C Cheng, X Zhao - Sensors, 2019 - mdpi.com
Real-time, precise and low-cost vehicular positioning systems associated with global
continuous coordinates are needed for path planning and motion control in autonomous …

A consumer tracking estimator for vehicles in GPS-free environments

E Choi, S Chang - IEEE Transactions on Consumer Electronics, 2017 - ieeexplore.ieee.org
The global positioning system (GPS) is a crucial component in navigation systems.
Therefore, navigation systems usually malfunction in the outage cases of GPS signals. This …

Optimal vehicle position estimation using adaptive unscented Kalman filter based on sensor fusion

G Park - Mechatronics, 2024 - Elsevier
Precise position recognition systems are actively used in various automotive technology
fields such as autonomous vehicles, intelligent transportation systems, and vehicle driving …

A data fusion system of GNSS data and on-vehicle sensors data for improving car positioning precision in urban environments

C Melendez-Pastor, R Ruiz-Gonzalez… - Expert systems with …, 2017 - Elsevier
Accurate car positioning on the Earth's surface is a requirement for many state-of-the-art
automotive applications, but current low-cost Global Navigation Satellite System (GNSS) …

Multiple model framework of adaptive extended Kalman filtering for predicting vehicle location

C Barrios, H Himberg, Y Motai… - 2006 IEEE Intelligent …, 2006 - ieeexplore.ieee.org
A multiple-model framework of adaptive extended Kalman filters (EKF) for predicting vehicle
position with the aid of Global Positioning System (GPS) data is proposed to improve …

Enhancement of global vehicle localization using navigable road maps and dead-reckoning

C Fouque, P Bonnifait, D Bétaille - 2008 IEEE/ION Position …, 2008 - ieeexplore.ieee.org
This paper presents a data fusion strategy for the global localization of car-like vehicles. The
system uses raw GNSS measurements, dead-reckoning sensors and road map data. We …

Constrained unscented Kalman filter based fusion of GPS/INS/digital map for vehicle localization

W Li, H Leung - Proceedings of the 2003 IEEE International …, 2003 - ieeexplore.ieee.org
Accurate vehicle localization is very important for various applications of intelligent
transportation systems (ITS) including cooperative driving, collision avoidance, and vehicle …