2025
Journal Publications
James D. Brouk and Kyle J. DeMars, “An Anonymous, Extent-Informed Approach for Map-Based Localization,” IEEE Transactions on Aerospace and Electronic Systems (to appear). [Access paper online]
Kyle J. Craft and Kyle J. DeMars, “Homotopic Gaussian Mixture Filtering for Applied Bayesian Inference,” IEEE Transactions on Automatic Control (to appear). [Access paper online]
J. Cameron Helmuth and Kyle J. DeMars, “Onboard Inertia Tensor Estimation using Constrained Exact Gaussian Particle Flow,” Journal of the Astronautical Sciences, 72.19 (2025). [Access paper online]
William N. Fife and Kyle J. DeMars, “A Minimum Initial Information Approach for Nominal Guidance via Convex Optimization” Journal of the Astronautical Sciences 72.18 (2025). [Access paper online]
Conference Publications
Kyle J. DeMars and William N. Fife, “Adaptive Bayesian Inference for Space Object Tracking”. Proceedings of the 9th European Conference on Space Debris, Bonn, Germany, 2025. [Link to preprint]
M. Gupta and K. J. DeMars, “Cislunar Space Domain Awareness using the Modified Generalized Equinoctial Orbital Elements,” Proceedings of the 9th European Conference on Space Debris, Bonn, Germany, 2025. [Link to preprint]
Evan M.A. Hefflin and Kyle J. DeMars, “Multitarget Space Object Tracking using the Poisson Multi-Bernoulli Mixture Filter,” Proceedings of the 35th AAS/AIAA Space Flight Mechanics Meeting, AAS 25-406, Lihue, HI, 2025. [Link to preprint]
Kyle J. Craft and Kyle J. DeMars, “A Homotopic Approach to Robust Variational Inference and Nonlinear Gaussian Filtering,” Proceedings of the 35th AAS/AIAA Space Flight Mechanics Meeting, AAS 25-383, Lihue, HI, 2025.
Maaninee Gupta and Kyle J. DeMars, “Uncertainty Propagation for Cislunar Space Domain Awareness,” Proceedings of the 35th AAS/AIAA Space Flight Mechanics Meeting, AAS 25-342, Lihue, HI, 2025. [Link to preprint]
Maaninee Gupta and Kyle J. DeMars, “Cislunar Astrodynamics Leveraging Generalized Equinoctial Orbital Elements,” Proceedings of the AAS/AIAA Space Flight Mechanics Meeting, AAS 25-288, Lihue, HI, 2025. [Link to preprint]
Conference Presentations and Posters
Kyle J. Craft and Kyle J. DeMars, “Gaussian Mixture Batch Estimation for Initial Orbit Determination,” AAS/AIAA Space Flight Mechanics Meeting. Lihue, HI, 2025. [Link to poster]
2024
Journal Publications
James D. Brouk and Kyle J. DeMars, “Kalman Filtering with Uncertain and Asynchronous Measurement Epochs,” NAVIGATION: Journal of the Institute of Navigation 71.3 (2024). [Access paper online]
Conference Publications
Dalton Durant, Andrey A. Popov, Kyle J. DeMars, and Renato Zanetti, “Processing Angles-Only Tracklets for Cislunar Multi-Target Tracking,” Proceedings of the AAS/AIAA Astrodynamics Specialist Conference, AAS 24-339, Broomfield, CO, 2024.
William N. Fife and Kyle J. DeMars, “Measurement-Informed Constrained Stochastic Reachability via Convex Optimization,” Proceedings of the AAS/AIAA Astrodynamics Specialist Conference, AAS 24-297, Broomfield, CO, 2024. [Link to preprint]
Ian Down, Kyle J. DeMars, and Manoranjan Majji, “Cislunar Space Domain Awareness Leveraging Resonant Tori Structures,” Proceedings of the AAS/AIAA Astrodynamics Specialist Conference, AAS 24-252, Broomfield, CO, 2024.
Evan M.A. Hefflin and Kyle J. DeMars, “Spacecraft Maneuver Detection and Tracking using the Hybrid Bernoulli Filter,” Proceedings of the AAS/AIAA Astrodynamics Specialist Conference, AAS 24-246, Broomfield, CO, 2024. [Link to preprint]
Evan M.A. Hefflin and Kyle J. DeMars, “L2-Squared Divergence Search Algorithm for Initial Orbit Determination using Radio Frequency Measurements,” Proceedings of the AAS/AIAA Astrodynamics Specialist Conference, AAS 24-244, Broomfield, CO, 2024. [Link to preprint]
William N. Fife, Pradipto Ghosh, and Kyle J. DeMars, “Probabilistic Trajectory Design via Approximate Gaussian Mixture Steering,” Proceedings of the AAS/AIAA Astrodynamics Specialist Conference, AAS 24-153, Broomfield, CO, 2024. [Link to preprint]
Kristen Michaelson, Andrey A. Popov, Renato Zanetti, and Kyle J. DeMars, “Particle Flow with a Continuous Formulation of the Nonlinear Measurement Update,” Proceedings of the 27th International Conference on Information Fusion (FUSION). Venice, Italy, 2024. [Access paper online]
Kyle J. Craft and Kyle J. DeMars, “A Variational Approach to Robust Bayesian Filtering,” Proceedings of the 27th International Conference on Information Fusion (FUSION), Venice, Italy, 2024. [Access paper online]
James D. Brouk and Kyle J. DeMars, “Anonymous, Extent-Informed Navigation for Map-Based Localization using Random Finite Sets,” Proceedings of the 27th International Conference on Information Fusion (FUSION), Venice, Italy, 2024. [Access paper online]
Evan Hefflin and Kyle J. DeMars, “Hybrid-Bernoulli Filter for Spacecraft Maneuver Estimation,” Proceedings of the 34th Space Flight Mechanics Meeting, AIAA SciTech Forum, AIAA 2024-1863, Orlando, FL, 2024. [Access paper online]
Kyle J. Craft and Kyle J. DeMars, “Nonlinear Particle Flow for Constrained Bayesian Estimation,” Proceedings of the 34th Space Flight Mechanics Meeting, AIAA SciTech Forum, AIAA 2024-0428, Orlando, FL, 2024. [Access paper online]
William N. Fife and Kyle J. DeMars, “Feature-Based Post-Entry State Determination Using Gaussian Mixtures,” Proceedings of the AIAA Guidance, Navigation, and Control Conference, AIAA SciTech Forum, AIAA 2024-1582, Orlando, FL, 2024. [Access paper online]
James D. Brouk and Kyle J. DeMars, “Extent-Informed Tracking for Feature-Based Navigation,” Proceedings of the AIAA Guidance, Navigation, and Control Conference, AIAA SciTech Forum, AIAA 2024-1581, Orlando, FL, 2024. [Access paper online]
Conference Presentations and Posters
Kyle J. DeMars and James D. Brouk, “Information Conservation for Adaptive Probabilistic Inference,” Johns Hopkins Applied Physics Laboratory Cislunar Security Conference, Laurel, MD, 2024.
Maaninee Gupta and Kyle J. DeMars, “Application of Generalized Equinoctial Orbital Elements for Cislunar Astrodynamics,” Johns Hopkins Applied Physics Laboratory Cislunar Security Conference, Laurel, MD, 2024. [Link to poster]
William N. Fife and Kyle J. DeMars, “Uncertainty Aware Guidance in Cislunar Space,” Johns Hopkins Applied Physics Laboratory Cislunar Security Conference, Laurel, MD, 2024. [Link to poster]
Kyle J. DeMars, “Coordinate Effects on Space Object Tracking using a Novel Homotopic Bayesian Inference Approach,” 45th COSPAR Scientific Assembly, Busan, South Korea, 2024.
Kyle J. DeMars, “Cislunar Uncertainty Propagation and Bayesian Inference,” SIAM Conference on Uncertainty Quantification, Trieste, Italy, 2024.
2023
Journal Publications
Gunner S. Fritsch and Kyle J. DeMars, “Robust Nonlinear Filtering: A Non-Bayesian Approach,” IEEE Transactions on Aerospace and Electronic Systems 59.5 (2023), pp. 5487-5502. [Access paper online]
Conference Publications
Kyle J. Craft and Kyle J. DeMars, “Stein Variational Gradient Descent for Non-Bayesian Particle Flow,” Proceedings of the 26th International Conference on Information Fusion (FUSION), Charleston, SC, 2023. [Access paper online]
James D. Brouk and Kyle J. DeMars, “Crater Navigation with Extended Features Utilizing Random Matrix Measurement Models,” 2023 AIAA Guidance, Navigation, and Control Conference, AIAA SciTech Forum, AIAA 2023-0876, National Harbor, MD, 2023. [Access paper online]
William N. Fife and Kyle J. DeMars, “Error State Filtering for Atmospheric Landing Using Air Data Systems,” 2023 AIAA Guidance, Navigation, and Control Conference, AIAA SciTech Forum, AIAA 2023-2324, National Harbor, MD, 2023. [Access paper online]
William N. Fife and Kyle J. DeMars, “Multi-State Measurement Processing with Factorized Stochastic Cloning,” 2023 AIAA Guidance, Navigation, and Control Conference, AIAA SciTech Forum, AIAA 2023-2323, National Harbor, MD, 2023. [Access paper online]
Kyle J. Craft, Kyle J. DeMars, and Christopher N. D’Souza, “Approximate Minimum Divergence Gaussian Initial Orbit Determination,” Advances in the Astronautical Sciences, Proceedings of the AAS/AIAA Space Flight Mechanics Meeting, AAS 23-316, Austin, TX, 2023. [Link to preprint]
Conference Presentations and Posters
Kyle J. Craft and Kyle J. DeMars, “Initial Cislunar Orbit Determination using Gaussian Mixture Approximations,” Johns Hopkins Applied Physics Laboratory Cislunar Security Conference, Laurel, MD, 2023.
Kyle J. DeMars and Kyle J. Craft, “Parameter Flow Bayesian Filtering with Gaussian Mixtures.” Johns Hopkins Applied Physics Laboratory Cislunar Security Conference, Laurel, MD, 2023.
Kyle J. DeMars and Kyle J. Craft, “Homotopic Bayesian Inference using Gaussian Mixture Representations of Uncertainty for Space Objects,” ASCEND, Las Vegas, NV, 2023
2022
Journal Publications
Gunner S. Fritsch and Kyle J. DeMars, “Intrinsic Fault Resistance for Nonlinear Filters with State-Dependent Probability of Detection,” Journal of the Astronautical Sciences 69 (2022), pp. 1821-1854. [Access paper online]
Kari C. Ward and Kyle J. DeMars, “Information-based Particle Flow with Convergence Control,” IEEE Transactions on Aerospace and Electronic Systems 58.2 (2022), pp. 1377–1390. [Access paper online]
Conference Publications
Kyle J. DeMars and J. Cameron Helmuth, “Constrained Filtering for On-Orbit Estimation of Spacecraft Mass Properties,” ASCEND 2022, Space Systems Command Pervasive and Game-Changing Future USSF Technologies, AIAA 2022-4326, Las Vegas, NV, 2022. [Access paper online]
J. Cameron Helmuth and Kyle J. DeMars, “Onboard Inertia Tensor Estimation Using Constrained Gaussian-Mixture Particle Flow,” Advances in the Astronautical Sciences, Proceedings of the AAS/AIAA Astrodynamics Specialist Conference, AAS 22-755, Charlotte, NC, 2022. [Link to preprint]
James D. Brouk and Kyle J. DeMars, “Crater Navigation with Extended Feature Models,” Advances in the Astronautical Sciences, Proceedings of the AAS/AIAA Astrodynamics Specialist Conference, AAS 22-751, Charlotte, NC, 2022. [Link to preprint]
Kyle J. Craft and Kyle J. DeMars, “Optimal Nonlinear Particle Flow using Stein Variational Gradient Descent,” Advances in the Astronautical Sciences, Proceedings of the AAS/AIAA Astrodynamics Specialist Conference, AAS 22-737, Charlotte, NC, 2022. [Link to preprint]
Kyle J. Craft and Kyle J. DeMars, “Navigation Performance of Air Data Systems for Atmospheric Entry and Descent,” 2022 AIAA Guidance, Navigation, and Control Conference, AIAA SciTech Forum, AIAA 2022-1218, San Diego, CA, 2022. [Access paper online]
James D. Brouk and Kyle J. DeMars, “Asynchronous Processing of Measurements with Uncertain Latencies in a Factorized, Consider-Neglect Navigation Filter,” 2022 AIAA Guidance, Navigation, and Control Conference, AIAA SciTech Forum, AIAA 2022-1217, San Diego, CA, 2022. [Access paper online]
J. Cameron Helmuth and Kyle J. DeMars, “Optimal Slewing Maneuvers For Inertia Tensor Observability,” Space Flight Mechanics Meeting, AIAA SciTech Forum, AIAA 2022-1768, San Diego, CA, 2022. [Access paper online]
2021
Journal Publications
James D. Brouk and Kyle J. DeMars, “Uncertainty Propagation for Inertial Navigation with Coning, Sculling, and Scrolling Corrections,” Sensors 21.24:8457 (2021), pp. 1–32. [Access paper online]
Gunner S. Fritsch and Kyle J. DeMars, “Nonlinear Gaussian Mixture Filtering with Intrinsic Fault Resistance,” Journal of Guidance, Control, and Dynamics 44.12 (2021), pp. 2172–2185. [Access paper online]
Conference Publications
Gunner S. Fritsch and Kyle J. DeMars, “Intrinsic Fault Resistance for Nonlinear Filters with State-Dependent Probability of Detection,” Proceedings of the Advanced Maui Optical and Space Surveillance Technologies Conference (AMOS), Maui, HI, 2021. [Access paper online]
C. Frueh, K. Howell, K. J. DeMars, S. Bhadauria, and M. Gupta, “Cislunar Space Traffic Management: Surveillance Through Earth-Moon Resonance Orbits,” Proceedings of the 8th European Conference on Space Debris, Darmstadt, Germany (Virtual), 2021.
J. Cameron Helmuth and Kyle J. DeMars, “Joint Probabilistic Data Association Filter Using Alternate Equinoctial Orbital Elements,” 2021 Space Flight Mechanics Meeting, AAS 21-339, Charlotte, NC (Virtual), 2021. [Link to preprint]
Kari C. Ward and Kyle J. DeMars, “Gaussian Mixture Particle Flow Modeling Using Information Potential,” 2021 Space Flight Mechanics Meeting, AAS 21-321, Charlotte, NC (Virtual), 2021. [Link to preprint]
Carolin Frueh, Kathleen Howell, Kyle J. DeMars, and Surabhi Bhadauria, “Cislunar Space Situational Awareness,” 2021 Space Flight Mechanics Meeting, AAS 21-290, Charlotte, NC (Virtual), 2021.
James D. Brouk and Kyle J. DeMars, “Orbit Determination Using the Probability Hypothesis Density Filter and Alternate Equinoctial Orbital Elements,” 2021 Space Flight Mechanics Meeting, AAS 21-271, Charlotte, NC (Virtual), 2021. [Link to preprint]
Gunner S. Fritsch and Kyle J. DeMars, “Nonlinear Filtering with Intrinsic Fault Resistance,” 2021 Space Flight Mechanics Meeting, AAS 21-266, Charlotte, NC (Virtual), 2021. [Link to preprint]
Conference Presentations and Posters
Kyle J. DeMars, Kari C. Ward, and Niladri Das, “Information-Theoretic Estimation of the Orbital Parameters of Space Objects,” 43rd COSPAR Scientific Assembly, Sydney, Australia, 2021.
2020
Journal Publications
Kyle J. DeMars and Kari C. Ward, “Modular Framework for Implementation and Analysis of Recursive Filters with Considered and Neglected Parameters,” NAVIGATION, Journal of the Institute of Navigation 67.4 (2020), pp. 843–863. [Access paper online]
Matthew J. Gualdoni and Kyle J. DeMars, “Impartial Sensor Tasking via Forecasted Information Content Quantification,” Journal of Guidance, Control, and Dynamics 43.11 (2020), pp. 2031–2045. [Access paper online]
Mark L. Psiaki, Kari C. Ward, and Kyle J. DeMars, “A Bi-Quintic Latitude/Longitude Spline and Lunar Surface Modeling for Spacecraft Navigation,” Journal of the Astronautical Sciences 67.2 (2020), pp. 657–703. [Access paper online]
Kari C. Ward, Gunner S. Fritsch, J. Cameron Helmuth, Kyle J. DeMars, and James S. McCabe, “Design and Analysis of Descent-to-Landing Navigation Incorporating Terrain Effects,” Journal of Spacecraft and Rockets 57.2 (2020), pp. 261–277. [Access paper online]
James S. McCabe and Kyle J. DeMars, “Anonymous Feature-Based Terrain Relative Navigation,” Journal of Guidance, Control, and Dynamics 43.3 (2020), pp. 410–421. [Access paper online]
Christine Schmid and Kyle J. DeMars, “Angular Correlation using Rogers-Szegő-Chaos,” Mathematics 8.2:171 (2020), pp. 1–24. [Access paper online]
Conference Publications
Kari C. Ward and Kyle J. DeMars, “A Square-Root Factorized Multiplicative Extension to the Particle Flow Filter,” Advances in the Astronautical Sciences. Proceedings of the AAS/AIAA Astrodynamics Specialist Conference, AAS 20-633, South Lake Tahoe, CA (Virtual), 2020.
J. Cameron Helmuth and Kyle J. DeMars, “Observability Study for Estimation of Rigid Body Attitude and Inertia Tensor,” 2020 Space Flight Mechanics Meeting, AIAA SciTech Forum. AIAA 2020-2176, Orlando, FL, 2020.
Kari C. Ward and Kyle J. DeMars, “Information-based Particle Flow for High Uncertainty Estimation,” 2020 Space Flight Mechanics Meeting, AIAA SciTech Forum, AIAA 2020-1697, Orlando, FL, 2020.
Gunner S. Fritsch and Kyle J. DeMars, “Adaptive Confidence Filter Update for High Uncertainty Environments,” 2020 Space Flight Mechanics Meeting, AIAA SciTech Forum, AIAA 2020-1696, Orlando, FL, 2020.
Matthew J. Gualdoni and Kyle J. DeMars, “Optimization Strategies for Myopic and Forecasted Divergence-Based Sensor Tasking Objectives,” 2020 Space Flight Mechanics Meeting, AIAA SciTech Forum, AIAA 2020-0720, Orlando, FL, 2020.
Kyle J. DeMars and Kari C. Ward, “Impact of Considering and Neglecting States on Descent-to-Landing Navigation,” 2020 AIAA Guidance, Navigation, and Control Conference, AIAA SciTech Forum, AIAA 2020-0600, Orlando, FL, 2020.
James D. Brouk and Kyle J. DeMars, “Propagation of Errors Through Coning, Sculling, and Scrolling Correction Algorithms,” 2020 AIAA Guidance, Navigation, and Control Conference, AIAA SciTech Forum, AIAA 2020-0599, Orlando, FL, 2020.
James S. McCabe and Kyle J. DeMars, “Anonymous Feature Processing for Efficient Onboard Navigation,” 2020 AIAA Guidance, Navigation, and Control Conference, AIAA SciTech Forum, AIAA 2020-0598, Orlando, FL, 2020.