22 citations · 25 across the 8 of their papers we have counts for
9 papers
Path Planning with Uncertainty for Aircraft Under Threat of Detection from Ground-Based Radar
Austin Costley, Greg Droge, Randall Christensen +2
Mission planners for aircraft operating under threat of detection by ground-based radar systems are concerned with the probability of detection. Current path planning methods for s…
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…
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…
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…
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…
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…
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…
Uncertainty Model Estimation in an Augmented Data Space for Robust State Estimation
Ryan M. Watson, Jason N. Gross, Clark N. Taylor +1
The requirement to generate robust robotic platforms is a critical enabling step to allow such platforms to permeate safety-critical applications (i.e., the localization of autonom…
Enabling Robust State Estimation through Measurement Error Covariance Adaptation
Ryan M. Watson, Jason N. Gross, Clark N. Taylor +1
Accurate platform localization is an integral component of most robotic systems. As these robotic systems become more ubiquitous, it is necessary to develop robust state estimation…