An LSTM Approach for Modelling Error of Smartphone-reported GNSS Location Under Mixed LOS/NLOS Environments-Reference-Cited by-同舟云学术

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An LSTM Approach for Modelling Error of Smartphone-reported GNSS Location Under Mixed LOS/NLOS Environments

Published:2023-09-25 Issue: Volume: Page:
ISSN:
Container-title:2023 13th International Conference on Indoor Positioning and Indoor Navigation (IPIN)
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Author:

Yu Yue¹,Shi Wenzhong¹,Liu Zhewei¹,Bai Shiyu²,Chen Liang³,Chen Ruizhi³

Affiliation:

1. The Hong Kong Polytechnic University,Department of Land Surveying and Geo-Informatics,Hong Kong,China

2. The Hong Kong Polytechnic University,Department of Aeronautical and Aviation Engineering,Hong Kong,China

3. Wuhan University,State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing,Wuhan,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10332456/10332213/10332544.pdf?arnumber=10332544

Reference21 articles.

1. Dynamic displacements from high-rate GNSS: Error modeling and vibration detection

2. Developments in Modern GNSS and Its Impact on Autonomous Vehicle Architectures

3. A Novel Deep Odometry Network for Vehicle Positioning Based on Smartphone

4. Pedestrian Smartphone Navigation Based on Weighted Graph Factor Optimization Utilizing GPS/BDS Multi-Constellation

5. Probabilistic approach to detect and correct GNSS NLOS signals using an augmented state vector in the extended Kalman filter

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