ANT Faculty Publications
Submissions from 2020
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
Visual Servoing for Final Approach Phase of Spacecraft Proximity Operations with Unknown Targets, Wyatt J. Harris, Richard G. Cobb, and Clark N. Taylor
Scorpion: A Modular Sensor Fusion Approach for Complementary Navigation Sensors, Kyle J. Kauffman, Daniel A . Marietta, John F. Raquet, Aaron J. Canciani, Robert C. Leishman, Adam Schofield, and Michael Caporellie
Virtual Testbed for Monocular Visual Navigation of Small Unmanned Aircraft Systems, Kyung Kim, Robert C. Leishman, and Scott L. Nykl
Comparison of Visual Simultaneous Localization and Mapping Methods for Fixed-Wing Aircraft Using SLAMBench2, Patrick Latcham and Clark N. Taylor
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
Relational Database for PNT Data, Sean Mochocki, Kyle J. Kauffman, Robert C. Leishman, and John Raquet
A System for Evaluating Vision-aided Navigation Uncertainty, Erik Rodenburgh and Clark N. Taylor
Effects of Stereo Vision Camera Positioning on Relative Navigation Accuracy, Kiril A. Sarantsev, Clark N. Taylor, and Scott L. Nykl
Ursa: A Neural Network for Unordered Point Clouds Using Constellations, Mark B. Skouson, Brett J. Borghetti, and Robert C. Leishman
Covariance Estimation for Factor Graph Based Bayesian Estimation, O. A. Vanli and Clark N. Taylor
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