Accuracy Enhancement of GNSS/INS Positioning in Dense Urban Environments with NLOS Signal Rejection based on Geometric Model-Reference-Cited by-同舟云学术

Accuracy Enhancement of GNSS/INS Positioning in Dense Urban Environments with NLOS Signal Rejection based on Geometric Model

Published:2021-02-15 Issue:2 Volume:34 Page:37-46
ISSN:1342-5668
Container-title:Transactions of the Institute of Systems, Control and Information Engineers
language:en
Short-container-title:Transactions of ISCIE

Author:

Takayama Yoji¹²,Urakubo Takateru¹,Tominaga Takaki²,Tamaki Hisashi¹

Affiliation:

1. Graduate School of System Informatics, Kobe University

2. FURUNO ELECTRIC CO.,LTD.

Publisher

The Institute of Systems, Control and Information Engineers

Link

https://www.jstage.jst.go.jp/article/iscie/34/2/34_37/_pdf

Reference12 articles.

1. [2] S. Kato et al.: NLOS satellite detection using a fish-eye camera for improving GNSS positioning accuracy in urban area; Journal of Journal of Robotics and Mechatronics, Vol. 1, No. 28, pp. 31–39 (2016)

2. [4] T. Suzuki and N. Kubo: NLOS GNSS signal detection using fish-eye camera for vehicle navigation in urban environments; Proc. of ION GNSS+ 2014, pp.1897–1906 (2014)

3. [5] N. Kbayer, M. Sahmoudi and E. Chaumette: Robust GNSS navigation in urban environments by bounding NLOS bias of GNSS pseudoranges using a 3D city model; Proc. of ION GNSS+ 2015, pp. 2410–2420 (2015)

4. [6] T. Tominaga and N. Kubo: Adaptive estimation of measurement noise to improve the performance of GNSS single point positioning in dense urban environment; Journal of IPNT, Vol. 8, No. 1, pp. 001–008 (2017)

5. [7] Z. Berman: Outliers rejection in Kalman filtering-Some new observations; Proc. of IEEE/ION PLANS 2014, pp. 1008–1013 (2014)

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