A robust low cost approach for real time car positioning in a smart city using Extended Kalman Filter and evolutionary machine learning

I Belhajem, YB Maissa… - 2016 4th IEEE International …, 2016 - ieeexplore.ieee.org
A smart city is emerging as an application of information and communication technologies to
mitigate the problems generated by the urban population growth. One of the smart city …
被引用次数：17 相关文章
[PDF] researchgate.net

A hybrid machine learning based low cost approach for real time vehicle position estimation in a smart city

I Belhajem, Y Ben Maissa, A Tamtaoui - … 2: Proceedings of the UNet'16 2, 2017 - Springer
Abstract The Global Positioning System (GPS) enhanced with low cost Dead Reckoning
(DR) sensors allows to estimate in real time a vehicle position with more accuracy while …
被引用次数：7 相关文章 所有 3 个版本
[PDF] eudl.eu

An improved robust low cost approach for real time vehicle positioning in a smart city

I Belhajem, Y Ben Maissa, A Tamtaoui - Industrial Networks and Intelligent …, 2017 - Springer
Abstract The Global Positioning System (GPS) aided low cost Dead Reckoning (DR) system
can provide without interruption the vehicle position for efficient fleet management solutions …
被引用次数：8 相关文章 所有 4 个版本
[PDF] researchgate.net

Accurate vehicle position estimation using a Kalman filter and neural network-based approach

S Baek, C Liu, P Watta… - 2017 IEEE Symposium …, 2017 - ieeexplore.ieee.org
Accurate detection of vehicle position plays an important role in many intelligent
transportation systems, especially vehicle-to-vehicle applications. In this paper, we propose …
被引用次数：22 相关文章 所有 2 个版本
[PDF] academia.edu

Improving vehicle localization in a smart city with low cost sensor networks and support vector machines

I Belhajem, YB Maissa, A Tamtaoui - Mobile Networks and Applications, 2018 - Springer
A smart city's main purpose is to provide intelligent responses to different problems of the
rapid urban population growth. For instance, integrating fleet management solutions into …
被引用次数：30 相关文章 所有 5 个版本

A hybrid low cost approach using extended Kalman filter and neural networks for real time positioning

I Belhajem, YB Maissa… - … Conference on Information …, 2016 - ieeexplore.ieee.org
Global Positioning System (GPS) and Inertial Navigation Systems (INS) are usually used for
real time vehicle positioning. Unfortunately, this high cost solution still suffers from GPS …
被引用次数：12 相关文章 所有 2 个版本
[PDF] academia.edu

Improving low cost sensor based vehicle positioning with Machine Learning

I Belhajem, YB Maissa, A Tamtaoui - Control Engineering Practice, 2018 - Elsevier
Current fleet management solutions rely on real time vehicle information to efficiently resolve
transportation problems. In this study, a novel robust approach based on combining the …
被引用次数：20 相关文章 所有 3 个版本

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 …
被引用次数：118 相关文章 所有 3 个版本
[PDF] softcomputing.net

Improved vehicle positioning algorithm using enhanced innovation-based adaptive Kalman filter

FA Ghaleb, A Zainal, MA Rassam… - Pervasive and Mobile …, 2017 - Elsevier
Accurate positioning is a key factor for enabling innovative applications to properly perform
their tasks in various areas including: Intelligent Transportation Systems (ITS) and Vehicular …
被引用次数：62 相关文章 所有 6 个版本

Low-cost sensors aided vehicular position prediction with partial least squares regression during GPS outage

Y Li, X Li, V Havyarimana, D Wang… - International Journal of …, 2016 - inderscienceonline.com
Vehicular position prediction is very important in intelligent transport systems (ITS), and the
requirements of accuracy for position prediction have been significantly increasing in recent …
被引用次数：10 相关文章 所有 2 个版本