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Omar García Crespillo
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2020 – today
- 2023
- [j3]Omar García Crespillo
, Juan Carlos Ruiz Sicilia, Ana Kliman
Robust design of a machine learning-based GNSS NLOS detector with multi-frequency features. Frontiers Robotics AI 10 (2023) - [j2]Juliette Marais, Omar García Crespillo
Editorial: Enhanced GNSS-based localization solutions with artificial intelligence. Frontiers Robotics AI 10 (2023) - [j1]Omar García Crespillo
Tight Bounds for Uncertain Time-Correlated Errors With Gauss-Markov Structure in Kalman Filtering. IEEE Trans. Aerosp. Electron. Syst. 59(4): 4347-4362 (2023) - [c9]Florian Rößl
A Map Based Multipath Error Model for Safety Critical Navigation in Railway Environments. PLANS 2023: 446-457 - [i1]Omar García Crespillo
Vertiport Navigation Requirements and Multisensor Architecture Considerations for Urban Air Mobility. CoRR abs/2311.07487 (2023) - 2020
- [c8]Maria Caamano, Omar García Crespillo
Detection of GNSS Multipath with Time-Differenced Code-Minus-Carrier for Land-Based Applications. ENC 2020: 1-12 - [c7]Daniel Gerbeth, Omar García Crespillo
Framework to Classify Railway Track Areas According to Local GNSS Threats. ENC 2020: 1-11 - [c6]Anja Grosch, Omar García Crespillo
Impact of Unknown Digital Map Errors on Satellite-based Navigation in Railway. ENC 2020: 1-12 - [c5]Oliver Heirich, Benjamin Siebler, Stephan Sand, Andreas Lehner, Omar García Crespillo
Measurement Methods for Train Localization with Onboard Sensors. ENC 2020: 1-10 - [c4]Omar García Crespillo
Overbounding GNSS/INS Integration with Uncertain GNSS Gauss-Markov Error Parameters. PLANS 2020: 481-489 - [c3]Steven Langel, Omar García Crespillo
A New Approach for Modeling Correlated Gaussian Errors using Frequency Domain Overbounding. PLANS 2020: 868-876
2010 – 2019
- 2018
- [c2]Omar García Crespillo
Local GNSS Threat Detection Methods for Virtual Balise Placement in Railway Applications. ITST 2018: 1-7 - [c1]Omar García Crespillo
Tightly coupled GNSS/INS integration based on robust M-estimators. PLANS 2018: 1554-1561
Coauthor Index
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