66 citations · 132 across the 15 of their papers we have counts for
16 papers
AIRHILT: A Human-in-the-Loop Testbed for Multimodal Conflict Detection in Aviation
Omar Garib, Jayaprakash D. Kambhampaty, Olivia J. Pinon Fischer +1
We introduce AIRHILT (Aviation Integrated Reasoning, Human-in-the-Loop Testbed), a modular and lightweight simulation environment designed to evaluate multimodal pilot and air traf…
Predictive calibration for digital sun sensors using sparse submanifold convolutional neural networks
Michael Herman, Olivia J. Pinon Fischer, Dimitri N. Mavris
Recent developments in AI techniques for space applications mirror the success achieved in terrestrial applications. Machine learning, which excels in data rich environments, is pa…
Sun sensor calibration algorithms: A systematic mapping and survey
Michael Herman, Olivia J. Pinon Fischer, Dimitri N. Mavris
Attitude sensors determine the spacecraft attitude through the sensing of an astronomical object, field or other phenomena. The Sun and fixed stars are the two primary astronomical…
Nonlinear Reduced-Order Modeling of Compressible Flow Fields Using Deep Learning and Manifold Learning
Bilal Mufti, Christian Perron, Dimitri N. Mavris
This paper presents a nonlinear reduced-order modeling (ROM) framework that leverages deep learning and manifold learning to predict compressible flow fields with complex nonlinear…
A Methodology to Identify Physical or Computational Experiment Conditions for Uncertainty Mitigation
Efe Y. Yarbasi, Dimitri N. Mavris
Complex engineering systems require integration of simulation of sub-systems and calculation of metrics to drive design decisions. This paper introduces a methodology for designing…
A Multi-Fidelity Methodology for Reduced Order Models with High-Dimensional Inputs
Bilal Mufti, Christian Perron, Dimitri N. Mavris
In the early stages of aerospace design, reduced order models (ROMs) are crucial for minimizing computational costs associated with using physics-rich field information in many-que…