Nonlinear Regression-Based GNSS Multipath Dynamic Map Construction and Its Application in Deep Urban Areas-Reference-Cited by-同舟云学术

Nonlinear Regression-Based GNSS Multipath Dynamic Map Construction and Its Application in Deep Urban Areas

Published:2023-05 Issue:5 Volume:24 Page:5082-5093
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Lee Yongjun¹^ORCID,Wang Pai²^ORCID,Park Byungwoon¹^ORCID

Affiliation:

1. Department of Aerospace Engineering and the Department of Convergence Engineering for Intelligent Drone, Sejong University, Seoul, South Korea

2. School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China

Funder

Ministry of Science and ICT (MSIT), South Korea

High-Potential Individuals Global Training Program, supervised by the Institute for Information and Communications Technology Planning and Evaluation

Unmanned Vehicles Core Technology Research and Development Program through the National Research Foundation of Korea (NRF) and the Unmanned Vehicle Advanced Research Center (UVARC) funded by MSIT

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/10121021/10056407.pdf?arnumber=10056407

Reference35 articles.

1. NLOS Multipath Classification of GNSS Signal Correlation Output Using Machine Learning

2. Position Accuracy Improvement by Implementing the DGNSS-CP Algorithm in Smartphones

3. DGPS Enhancement to GPS NMEA Output Data: DGPS by Correction Projection to Position-Domain

4. GNSS multipath detection using a machine learning approach

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