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Robust design of a machine learning-based GNSS NLOS detector with multi-frequency features.

, , , and . Frontiers Robotics AI, (February 2023)

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A New Approach for Modeling Correlated Gaussian Errors using Frequency Domain Overbounding., , and . PLANS, page 868-876. IEEE, (2020)Tightly coupled GNSS/INS integration based on robust M-estimators., , , and . PLANS, page 1554-1561. IEEE, (2018)A Map Based Multipath Error Model for Safety Critical Navigation in Railway Environments., , , and . PLANS, page 446-457. IEEE, (2023)Local GNSS Threat Detection Methods for Virtual Balise Placement in Railway Applications., , , , , , , , , and 1 other author(s). ITST, page 1-7. IEEE, (2018)Overbounding GNSS/INS Integration with Uncertain GNSS Gauss-Markov Error Parameters., , and . PLANS, page 481-489. IEEE, (2020)Robust design of a machine learning-based GNSS NLOS detector with multi-frequency features., , , and . Frontiers Robotics AI, (February 2023)Editorial: Enhanced GNSS-based localization solutions with artificial intelligence., , and . Frontiers Robotics AI, (February 2023)Measurement Methods for Train Localization with Onboard Sensors., , , , and . ENC, page 1-10. IEEE, (2020)Tight Bounds for Uncertain Time-Correlated Errors With Gauss-Markov Structure in Kalman Filtering., , and . IEEE Trans. Aerosp. Electron. Syst., 59 (4): 4347-4362 (August 2023)Impact of Unknown Digital Map Errors on Satellite-based Navigation in Railway., and . ENC, page 1-12. IEEE, (2020)