User profiles for Omar García Crespillo
Omar García CrespilloResearch Engineer, German Aerospace Center (DLR) Verified email at dlr.de Cited by 496 |
A new approach for modeling correlated Gaussian errors using frequency domain overbounding
S Langel, OG Crespillo… - 2020 IEEE/ION Position …, 2020 - ieeexplore.ieee.org
This paper presents a new method to overbound Kalman filter (KF) based estimate error
distributions in the presence of uncertain, time-correlated noise. Each noise component is a zero…
distributions in the presence of uncertain, time-correlated noise. Each noise component is a zero…
Overbounding the effect of uncertain Gauss‐Markov noise in Kalman filtering
S Langel, O Garcia Crespillo, M Joerger - Navigation, 2021 - Wiley Online Library
Prior work established a model for uncertain Gauss‐Markov (GM) noise that is guaranteed
to produce a Kalman filter (KF) covariance matrix that overbounds the estimate error …
to produce a Kalman filter (KF) covariance matrix that overbounds the estimate error …
Snapshot residual and Kalman filter based fault detection and exclusion schemes for robust railway navigation
Integrating satellite based navigation into the railway standard can enable reliable and cost-efficient
railway navigation everywhere. This makes is very attractive for railway. Thus its …
railway navigation everywhere. This makes is very attractive for railway. Thus its …
Avionics systems panel research and innovation perspectives
…, G Fasano, I Majid, OG Crespillo… - IEEE Aerospace and …, 2020 - ieeexplore.ieee.org
As current, large-scale research and development initiatives are reshaping the future of aviation
and space operations, avionics systems are becoming cyber-physical and progressively …
and space operations, avionics systems are becoming cyber-physical and progressively …
Overbounding GNSS/INS integration with uncertain GNSS Gauss-Markov error parameters
OG Crespillo, M Joerger… - 2020 IEEE/ION Position …, 2020 - ieeexplore.ieee.org
The integration of GNSS with Inertial Navigation Systems (INS) has the potential to achieve
high levels of continuity and availability as compared to standalone GNSS and therefore to …
high levels of continuity and availability as compared to standalone GNSS and therefore to …
Detection of GNSS multipath with time-differenced code-minus-carrier for land-based applications
Ground transportation systems demand accurate and robust localization functions. Satellite
navigation is considered a key element in those systems, but its position determination can …
navigation is considered a key element in those systems, but its position determination can …
Innovation vs residual KF based GNSS/INS autonomous integrity monitoring in single fault scenario
We perform a comparison between an innovation and a residual based integrity monitoring
in Extended Kalman Filters for the GNSS/INS hybridization. In this paper, we restrict the study …
in Extended Kalman Filters for the GNSS/INS hybridization. In this paper, we restrict the study …
Tightly coupled GNSS/INS integration based on robust M-estimators
The combination of Global Navigation Satellite Systems (GNSS) and Inertial Navigation System
(INS) has become the baseline of many vehicular applications. However, in challenging …
(INS) has become the baseline of many vehicular applications. However, in challenging …
HorizonUAM: Safety and security considerations for urban air mobility
…, D Gerbeth, L Schalk, O Garcia Crespillo… - AIAA Aviation 2021 …, 2021 - arc.aiaa.org
View Video Presentation: https://doi.org/10.2514/6.2021-3199.vid HorizonUAM is a DLR
project to research the vision of urban air mobility. One important topic is the safety and security …
project to research the vision of urban air mobility. One important topic is the safety and security …
Tight bounds for uncertain time-correlated errors with gauss-markov structure in kalman filtering
OG Crespillo, S Langel… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Safety-critical navigation applications require that estimation errors be reliably quantified
and bounded. This can be challenging for linear dynamic systems if the process noise or …
and bounded. This can be challenging for linear dynamic systems if the process noise or …