A Robust Hybrid Multisource Data Fusion Approach for Vehicle Localization

ISSN Print: 2150-850X
ISSN Online: 2150-8526
www.scirp.net/journal/pos
E-mail: [email protected]

Citations

"A Robust Hybrid Multisource Data Fusion Approach for Vehicle Localization"
written by Adda Redouane Ahmed Bacha, Dominique Gruyer, Alain Lambert,
published by Positioning, Vol.4 No.4, 2013

has been cited by the following article(s):

[1]	Real-Time Performance-Focused Localization Techniques for Autonomous Vehicle: A Review
	2021

[2]	Toward Accurate Vehicle State Estimation Under Non-Gaussian Noises
	2019

[3]	OKPS: a reactive/cooperative multi-sensors data fusion approach designed for robust vehicle localization
	Positioning, 2016

[4]	基于光电瞄准/SINS 组合的在线修正方法
	系统工程与电子技术, 2015

[5]	A Two-Task Hierarchical Constrained Tri-objective Optimization approach for Vehicle State Estimation under non-Gaussian Environment
	Journal of Computational and Theoretical Nanoscience, 2015

[6]	A performance test for a new reactive-cooperative filter in an ego-vehicle localization application
	Intelligent Vehicles Symposium Proceedings, 2014 IEEE. IEEE, 2014

[7]	Single camera vehicle localization using SURF scale and dynamic time warping
	Intelligent Vehicles Symposium Proceedings, 2014 IEEE. IEEE, 2014

[1]	Real-Time Performance-Focused Localization Techniques for Autonomous Vehicle: A Review IEEE Transactions on Intelligent Transportation Systems, 2022 DOI:10.1109/TITS.2021.3077800

[2]	Toward Accurate Vehicle State Estimation Under Non-Gaussian Noises IEEE Internet of Things Journal, 2019 DOI:10.1109/JIOT.2019.2940412

[3]	OKPS: A Reactive/Cooperative Multi-Sensors Data Fusion Approach Designed for Robust Vehicle Localization Positioning, 2016 DOI:10.4236/pos.2016.71001

[4]	A performance test for a new reactive-cooperative filter in an ego-vehicle localization application 2014 IEEE Intelligent Vehicles Symposium Proceedings, 2014 DOI:10.1109/IVS.2014.6856472

[5]	Single camera vehicle localization using SURF scale and dynamic time warping 2014 IEEE Intelligent Vehicles Symposium Proceedings, 2014 DOI:10.1109/IVS.2014.6856545