ANT Faculty Publications

 

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Submissions from 2020

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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

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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

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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

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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

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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

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Enabling Robust State Estimation through Measurement Error Covariance Adaptation, Ryan M. Watson, Jason N. Gross, Clark N. Taylor, and Robert C. Leishman

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Robust Incremental State Estimation through Covariance Adaptation, Ryan M. Watson, Jason N. Gross, Clark N. Taylor, and Robert C. Leishman

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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

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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

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Real-Time Path Planning in Constrained, Uncertain Environments, Randall Christensen and Robert C. Leishman

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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

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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

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Non-GNSS Smartphone Pedestrian Navigation Using Barometric Elevation and Digital Map-Matching, Daniel Broyles, Kyle J. Kauffman, John F. Raquet, and Piotr Smagowski

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Range Information Characterization of the Hokuyo UST-20LX LIDAR Sensor, Matthew A. Cooper, John F. Raquet, and Rick Patton

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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

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Combining Stereo Vision and Inertial Navigation for Automated Aerial Refueling, Daniel T. Johnson, Scott L. Nykl, and John F. Raquet

Submissions from 2016

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Real-time Automated Aerial Refueling Using Stereo Vision, Christopher A. Parsons and Scott L. Nykl