no code implementations • 8 Jul 2022 • Austin Costley, Greg Droge, Randall Christensen, Robert C. Leishman, James Swedeen
The error budgets identify the contribution of each source of uncertainty (e. g., sensor measurement noise, radar position uncertainty) to the overall variability in the probability of detection.
no code implementations • 21 Mar 2022 • Austin Costley, Randall Christensen, Robert C. Leishman, Greg Droge
This paper presents a method to incorporate the uncertainty of the radar state in a single-pulse radar detection model.
no code implementations • 18 Jan 2022 • Austin Costley, Randall Christensen, Greg Droge, Robert C. Leishman
This paper provides a method for combining aircraft pose uncertainty with single-pulse radar detection models to aid mission planning efforts.
no code implementations • 25 May 2021 • Austin Costley, Randall Christensen, Robert C. Leishman, Greg Droge
This work presents a method for generating position, attitude, and velocity states for an aircraft following a smoothed reference trajectory.
no code implementations • 1 Jul 2020 • Kyung Kim, Robert C. Leishman, Scott L. Nykl
Monocular visual navigation methods have seen significant advances in the last decade, recently producing several real-time solutions for autonomously navigating small unmanned aircraft systems without relying on GPS.
1 code implementation • 14 Aug 2018 • Mark B. Skouson, Brett J. Borghetti, Robert C. Leishman
This paper describes a neural network layer, named Ursa, that uses a constellation of points to learn classification information from point cloud data.