The Cauchy-Schwarz divergence for assessing situational information gain. - Kyle J. DeMars; Islam I. Hussein; Moriba K. Jah; Richard Scott Erwin (FUSION, 2012)

An AEGIS-FISST integrated detection and tracking approach to Space Situational Awareness. - Islam I. Hussein; Kyle J. DeMars; Carolin Früh; Richard Scott Erwin; Moriba K. Jah (FUSION, 2012)

Initial Orbit Determination using Short-Arc Angle and Angle Rate Data. - Kyle J. DeMars; Moriba K. Jah; Paul W. Schumacher (IEEE Trans. Aerosp. Electron. Syst., 2012)

Efficient multi-sensor data fusion for space surveillance. - Kyle J. DeMars; James S. McCabe; Jacob E. Darling (ACC, 2015)

Relative multiple space object tracking using intensity filters. - Keith A. LeGrand; Kyle J. DeMars (FUSION, 2015)

Uncertainty Propagation of correlated quaternion and Euclidean states using partially-conditioned Gaussian mixtures. - Jacob E. Darling; Kyle J. DeMars (FUSION, 2016)

Considering uncertain system parameters in multitarget space surveillance tracking. - James S. McCabe; Kyle J. DeMars (FUSION, 2016)

Fusion Methodologies for Orbit Determination with Distributed Sensor Networks. - James S. McCabe; Kyle J. DeMars (FUSION, 2018)

Uncertainty Propagation for Inertial Navigation with Coning, Sculling, and Scrolling Corrections. - James D. Brouk; Kyle J. DeMars (Sensors, 2021)

Information-Based Particle Flow With Convergence Control. - Kari C. Ward; Kyle J. DeMars (IEEE Trans. Aerosp. Electron. Syst., 2022)

Stein Variational Gradient Descent for Non-Bayesian Particle Flow. - Kyle J. Craft; Kyle J. DeMars (FUSION, 2023)

Robust Nonlinear Filtering: A Non-Bayesian Approach. - Gunner S. Fritsch; Kyle J. DeMars (IEEE Trans. Aerosp. Electron. Syst., 2023)

Anonymous, Extent-Informed Navigation for Map-Based Localization using Random Finite Sets. - James D. Brouk; Kyle J. DeMars (FUSION, 2024)

A Variational Approach to Robust Bayesian Filtering. - Kyle J. Craft; Kyle J. DeMars (FUSION, 2024)

Particle Flow with a Continuous Formulation of the Nonlinear Measurement Update. - Kristen Michaelson; Andrey A. Popov; Renato Zanetti; Kyle J. DeMars (FUSION, 2024)

Probabilistic Trajectory Design Via Approximate Gaussian Mixture Steering. - William Fife; Pradipto Ghosh; Kyle J. DeMars (CoRR, 2024)

An Anonymous Extent-Informed Approach for Map-Based Localization. - James D. Brouk; Kyle J. DeMars (IEEE Trans. Aerosp. Electron. Syst., 2025)

Homotopic Gaussian Mixture Filtering for Applied Bayesian Inference. - Kyle J. Craft; Kyle J. DeMars (IEEE Trans. Autom. Control., 2025)