Local GNSS Threat Detection Methods for Virtual Balise Placement in Railway Applications. - Omar García Crespillo; Andriy Konovaltsev; Juliette Marais; Salvatore Sabina; Alessia Vennarini; Andrea Coluccia; Alessandro Neri 001; Antonio Aguila; Elena Razzano; Francesco Ranauro; Massimiliano Ciaffi (ITST, 2018)

Tightly coupled GNSS/INS integration based on robust M-estimators. - Omar García Crespillo; Daniel Medina; Jan Skaloud; Michael Meurer (PLANS, 2018)

Detection of GNSS Multipath with Time-Differenced Code-Minus-Carrier for Land-Based Applications. - Maria Caamano; Omar García Crespillo; Daniel Gerbeth; Anja Grosch (ENC, 2020)

Framework to Classify Railway Track Areas According to Local GNSS Threats. - Daniel Gerbeth; Omar García Crespillo; Fabio Pognante; Alessia Vennarini; Andrea Coluccia (ENC, 2020)

Impact of Unknown Digital Map Errors on Satellite-based Navigation in Railway. - Anja Grosch; Omar García Crespillo (ENC, 2020)

Measurement Methods for Train Localization with Onboard Sensors. - Oliver Heirich; Benjamin Siebler; Stephan Sand; Andreas Lehner; Omar García Crespillo (ENC, 2020)

Overbounding GNSS/INS Integration with Uncertain GNSS Gauss-Markov Error Parameters. - Omar García Crespillo; Mathieu Joerger; Steve Langel (PLANS, 2020)

A New Approach for Modeling Correlated Gaussian Errors using Frequency Domain Overbounding. - Steven Langel; Omar García Crespillo; Mathieu Joerger (PLANS, 2020)

A Map Based Multipath Error Model for Safety Critical Navigation in Railway Environments. - Florian Rößl; Omar García Crespillo; Oliver Heirich; Ana Kliman (PLANS, 2023)

Vertiport Navigation Requirements and Multisensor Architecture Considerations for Urban Air Mobility. - Omar García Crespillo; Chen Zhu 002; Maximilian Simonetti; Daniel Gerbeth; Young-Hee Lee; Wenhan Hao (CoRR, 2023)

Robust design of a machine learning-based GNSS NLOS detector with multi-frequency features. - Omar García Crespillo; Juan Carlos Ruiz Sicilia; Ana Kliman; Juliette Marais (Frontiers Robotics AI, 2023)

Editorial: Enhanced GNSS-based localization solutions with artificial intelligence. - Juliette Marais; Omar García Crespillo; Li-Ta Hsu (Frontiers Robotics AI, 2023)

Tight Bounds for Uncertain Time-Correlated Errors With Gauss-Markov Structure in Kalman Filtering. - Omar García Crespillo; Steve Langel; Mathieu Joerger (IEEE Trans. Aerosp. Electron. Syst., 2023)

Frequency-Domain Modeling of Correlated Gaussian Noise in Kalman Filtering. - Steven Langel; Omar García Crespillo; Mathieu Joerger (IEEE Trans. Aerosp. Electron. Syst., 2024)

Robust Railway Ground Truth and Confidence Bounds Estimation based on RTK/INS Forward-Backward Smoothing. - Anja Grosch; Omar García Crespillo (PLANS, 2025)

Residual GNSS Ionospheric Error Analysis in Future Low Earth Orbit Applications. - Can Oezmaden; Sarah Pelzer; Omar García Crespillo; Marius Brachvogel; Michael Niestroj; Michael Meurer (PLANS, 2025)

Multi-Process Stochastic Multipath Model for Terrestrial Radionavigation Systems in Aviation. - Gianluca Zampieri; Gary A. McGraw; Omar García Crespillo; Michael Meurer (PLANS, 2025)