ANT Faculty Publications
Submissions from 2021
Terrain‐referenced Navigation Using a Steerable‐laser Measurement Sensor, Jason D. Carroll and Aaron J. Canciani
Extended Invariant-EKF Designs for State and Additive Disturbance Estimation, Kevin Coleman, He Bai, and Clark N. Taylor
Analytical Aircraft State and IMU Signal Generator from Smoothed Reference Trajectory, Austin Costley, Randall Christensen, Robert C. Leishman, and Greg Droge
Resilience for Multi-filter All-source Navigation Framework with Integrity, Jonathon S. Gipson and Robert C. Leishman
ION GNSS Software-defined Radio Metadata Standard, Sanjeev Gunawardena, Thomas Pany, and James Curran
Multi-objective Database Queries in Combined Knapsack and Set Covering Problem Domains, Sean A. Mochocki, Gary B. Lamont, Robert C. Leishman, and Kyle J. Kauffman
Submissions from 2020
An Analysis of the Benefits and Difficulties of Aerial Magnetic Vector Navigation, Aaron J. Canciani and Christopher J. Brennan
Wavelet-Based Moment-Matching Techniques for Inertial Sensor Calibration, Stephane Guerrier, Juan Jurado, Mehran Khaghani, Gaetan Bakalli, Mucyo Karemera, Roberto Molinari, Samuel Orso, Christine M. Schubert Kabban, John Raquet, Jan Skaloud, Haotian Xu, and Yuming Zhang
Virtual Testbed for Monocular Visual Navigation of Small Unmanned Aircraft Systems, Kyung Kim, Robert C. Leishman, and Scott L. Nykl
Long-Range Pose Estimation for Aerial Refueling Approaches Using Deep Neural Networks, Andrew Lee, William Dallmann, Scott L. Nykl, Clark N. Taylor, and Brett J. Borghetti
MagSLAM: Aerial Simultaneous Localization and Mapping using Earth's Magnetic Anomaly Field, Taylor N. Lee and Aaron J. Canciani
Ursa: A Neural Network for Unordered Point Clouds Using Constellations, Mark B. Skouson, Brett J. Borghetti, and Robert C. Leishman
Enabling Robust State Estimation through Measurement Error Covariance Adaptation, Ryan M. Watson, Jason N. Gross, Clark N. Taylor, and Robert C. Leishman
Robust Incremental State Estimation through Covariance Adaptation, Ryan M. Watson, Jason N. Gross, Clark N. Taylor, and Robert C. Leishman
Uncertainty Model Estimation in an Augmented Data Space for Robust State Estimation, Ryan M. Watson, Jason N. Gross, Clark N. Taylor, and Robert C. Leishman
Cooperative Navigation Using Pairwise Communication with Ranging and Magnetic Anomaly Measurements, Chizhao Yang, Jared Strader, Yu Gu, Aaron J. Canciani, and Kevin Brink
Submissions from 2019
Real-Time Path Planning in Constrained, Uncertain Environments, Randall Christensen and Robert C. Leishman
First Approach to Coupling of Numerical Lifting-Line Theory and Linear Covariance Analysis for UAV State Uncertainty Propagation, Cory D. Goates, Randall S. Christensen, and Robert C. Leishman
Correlator Beamforming for Multipath Mitigation in High-Fidelity GNSS Monitoring Applications, Sanjeev Gunawardena, John F. Raquet, and Mark Carroll
A Regression-Based Methodology to Improve Estimation of Inertial Sensor Errors Using Allan Variance Data, Juan Jurado, Christine M. Schubert Kabban, and John F. Raquet
Submissions from 2018
Non-GNSS Smartphone Pedestrian Navigation Using Barometric Elevation and Digital Map-Matching, Daniel Broyles, Kyle J. Kauffman, John F. Raquet, and Piotr Smagowski
Range Information Characterization of the Hokuyo UST-20LX LIDAR Sensor, Matthew A. Cooper, John F. Raquet, and Rick Patton
Improvements for Vision-based Navigation of Small, Fixed-wing Unmanned Aerial Vehicles, Robert C. Leishman, Jeremy Gray, John F. Raquet, and Adam Rutkowski
Submissions from 2017
Combining Stereo Vision and Inertial Navigation for Automated Aerial Refueling, Daniel T. Johnson, Scott L. Nykl, and John F. Raquet
Submissions from 2016
Real-time Automated Aerial Refueling Using Stereo Vision, Christopher A. Parsons and Scott L. Nykl