The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Maklumat lokasi ialah maklumat yang bermakna untuk dunia ITS (Sistem Pengangkutan Pintar) masa hadapan. Terutamanya, ketepatan maklumat diperlukan kerana ketepatan menentukan kualiti perkhidmatan ITS. Untuk merealisasikan kedudukan ketepatan tinggi, teknik kedudukan kinematik telah menarik perhatian. Kedudukan Kinematik memerlukan konfigurasi banyak parameter kedudukan. Walau bagaimanapun, konfigurasi adalah sukar kerana parameter optimum berbeza mengikut persekitaran pengguna. Dalam kertas kerja ini, kami akan mencadangkan kaedah anggaran parameter optimum mengikut persekitaran. Selanjutnya, kami akan mencadangkan kaedah penghapusan keputusan kedudukan yang tidak boleh dipercayai. Dengan ini, kita boleh memperoleh secara meluas hanya keputusan kedudukan yang boleh dipercayai. Dengan menggunakan data perjalanan kenderaan sebenar, keupayaan dan julat kaedah yang dicadangkan akan ditunjukkan. Hasilnya akan menunjukkan bahawa kaedah cadangan kami meningkatkan kadar pemerolehan keputusan kedudukan yang boleh dipercayai dan mengurangkan kadar pemerolehan keputusan kedudukan yang tidak boleh dipercayai.
Hiromi IN
Utsunomiya University
Hiroyuki HATANO
Utsunomiya University
Masahiro FUJII
Utsunomiya University
Atsushi ITO
Utsunomiya University
Yu WATANABE
Utsunomiya University
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Salinan
Hiromi IN, Hiroyuki HATANO, Masahiro FUJII, Atsushi ITO, Yu WATANABE, "Reliable Position Estimation by Parallelized Processing in Kinematic Positioning for Single Frequency GNSS Receiver" in IEICE TRANSACTIONS on Fundamentals,
vol. E101-A, no. 7, pp. 1083-1091, July 2018, doi: 10.1587/transfun.E101.A.1083.
Abstract: Location information is meaningful information for future ITS (Intelligent Transport Systems) world. Especially, the accuracy of the information is required because the accuracy decides the quality of ITS services. For realization of high precision positioning, Kinematic positioning technique has been attracting attention. The Kinematic positioning requires the configuration of many positioning parameters. However, the configuration is difficult because optimal parameter differs according to user's environment. In this paper, we will propose an estimation method of optimal parameter according to the environment. Further, we will propose an elimination method of unreliable positioning results. Hereby, we can acquire extensively only the reliable positioning results. By using the actual vehicle traveling data, the ability and the applicable range of the proposed method will be shown. The result will show that our proposed method improves the acquision rate of reliable positioning results and mitigates the acquision rate of the unreliable positioning results.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E101.A.1083/_p
Salinan
@ARTICLE{e101-a_7_1083,
author={Hiromi IN, Hiroyuki HATANO, Masahiro FUJII, Atsushi ITO, Yu WATANABE, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Reliable Position Estimation by Parallelized Processing in Kinematic Positioning for Single Frequency GNSS Receiver},
year={2018},
volume={E101-A},
number={7},
pages={1083-1091},
abstract={Location information is meaningful information for future ITS (Intelligent Transport Systems) world. Especially, the accuracy of the information is required because the accuracy decides the quality of ITS services. For realization of high precision positioning, Kinematic positioning technique has been attracting attention. The Kinematic positioning requires the configuration of many positioning parameters. However, the configuration is difficult because optimal parameter differs according to user's environment. In this paper, we will propose an estimation method of optimal parameter according to the environment. Further, we will propose an elimination method of unreliable positioning results. Hereby, we can acquire extensively only the reliable positioning results. By using the actual vehicle traveling data, the ability and the applicable range of the proposed method will be shown. The result will show that our proposed method improves the acquision rate of reliable positioning results and mitigates the acquision rate of the unreliable positioning results.},
keywords={},
doi={10.1587/transfun.E101.A.1083},
ISSN={1745-1337},
month={July},}
Salinan
TY - JOUR
TI - Reliable Position Estimation by Parallelized Processing in Kinematic Positioning for Single Frequency GNSS Receiver
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1083
EP - 1091
AU - Hiromi IN
AU - Hiroyuki HATANO
AU - Masahiro FUJII
AU - Atsushi ITO
AU - Yu WATANABE
PY - 2018
DO - 10.1587/transfun.E101.A.1083
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E101-A
IS - 7
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - July 2018
AB - Location information is meaningful information for future ITS (Intelligent Transport Systems) world. Especially, the accuracy of the information is required because the accuracy decides the quality of ITS services. For realization of high precision positioning, Kinematic positioning technique has been attracting attention. The Kinematic positioning requires the configuration of many positioning parameters. However, the configuration is difficult because optimal parameter differs according to user's environment. In this paper, we will propose an estimation method of optimal parameter according to the environment. Further, we will propose an elimination method of unreliable positioning results. Hereby, we can acquire extensively only the reliable positioning results. By using the actual vehicle traveling data, the ability and the applicable range of the proposed method will be shown. The result will show that our proposed method improves the acquision rate of reliable positioning results and mitigates the acquision rate of the unreliable positioning results.
ER -