activity
20202023
most citedPath Planning with Uncertainty for Aircraft Under Threat of Detection from Ground-Based Radar

1 citations · 3 across the 8 of their papers we have counts for

collaborators

9 papers

cs.RO2023★ 1 cited

Fillet-based RRT*: A Rapid Convergence Implementation of RRT* for Curvature Constrained Vehicles

James Swedeen, Greg Droge, Randall Christensen

Rapidly exploring random trees (RRTs) have proven effective in quickly finding feasible solutions to complex motion planning problems. RRT* is an extension of the RRT algorithm tha…

eess.SY2022★ 1 cited

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…

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…

cs.RO2021

Sensitivity Study of Fiducial-Aided Navigation of Unmanned Aerial Vehicles

Amanda J. Strate, Randall Christensen

The possible applications and benefits of autonomous Unmanned Aerial Vehicle (UAV) use in urban areas are gaining considerable attention. Before these possibilities can be realized…

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.CV2020

GPS-Denied Navigation Using SAR Images and Neural Networks

Teresa White, Jesse Wheeler, Colton Lindstrom +2

Unmanned aerial vehicles (UAV) often rely on GPS for navigation. GPS signals, however, are very low in power and easily jammed or otherwise disrupted. This paper presents a method…

eess.SP2020★ 1 cited

Sensitivity of BPA SAR Image Formation to Initial Position, Velocity, and Attitude Navigation Errors

Colton Lindstrom, Randall Christensen, Jacob Gunther

The Back-Projection Algorithm (BPA) is a time domain matched filtering technique to form synthetic aperture radar (SAR) images. To produce high quality BPA images, precise navigati…

eess.SY2020

Zero-Error Tracking for Autonomous Vehicles through Epsilon-Trajectory Generation

Clint Ferrin, Greg Droge, Randall Christensen

This paper presents a control method and trajectory planner for vehicles with first-order nonholonomic constraints that guarantee asymptotic convergence to a time-indexed trajector…