activity
20192022
most citedVirtual Testbed for Monocular Visual Navigation of Small Unmanned Aircraft Systems

2 citations · 2 across the 4 of their papers we have counts for

collaborators

8 papers

eess.SY2022

Sensitivity of Single-Pulse Radar Detection to Radar State Uncertainty

Austin Costley, Randall Christensen, Robert C. Leishman +1

Mission planners for aircraft operating under threat of detection from ground-based radar systems are often concerned with the probability of detection. Current approaches to path…

eess.SY2022

Sensitivity of Single-Pulse Radar Detection to Aircraft Pose Uncertainties

Austin Costley, Randall Christensen, Greg Droge +1

Mission planners for aircraft that operate in radar detection environments are often concerned the probability of detection. The probability of detection is a nonlinear function of…

eess.SY2021

Analytical Aircraft State and IMU Signal Generator from Smoothed Reference Trajectory

Austin Costley, Randall Christensen, Robert C. Leishman +1

This work presents a method for generating position, attitude, and velocity states for an aircraft following a smoothed reference trajectory. The method also generates acceleromete…

cs.RO2021

A Closed-Loop Linear Covariance Framework for Vehicle Path Planning in a Static Uncertain Obstacle Fiel

Randall Christensen, Greg Droge, Robert Leishman

Path planning in an uncertain environment is a key enabler of true vehicle autonomy. Over the past two decades, numerous approaches have been developed to account for errors in the…

cs.CV20202 cited

Virtual Testbed for Monocular Visual Navigation of Small Unmanned Aircraft Systems

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 air…

eess.SP2019

Robust Incremental State Estimation through Covariance Adaptation

Ryan M. Watson, Jason N. Gross, Clark N. Taylor +1

Recent advances in the fields of robotics and automation have spurred significant interest in robust state estimation. To enable robust state estimation, several methodologies have…