Search Results - "Leishman, Robert C."

Multi-objective database queries in combined knapsack and set covering problem domains by Mochocki, Sean A., Lamont, Gary B., Leishman, Robert C., Kauffman, Kyle J.

“…Database queries are one of the most important functions of a relational database. Users are interested in viewing a variety of data representations, and this…”
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A Framework for Collaborative All-Source Navigation With Fault Detection and Exclusion by Gipson, Jonathon S., Leishman, Robert C.

“…The ARMAS-SOM framework fuses collaborative all-source sensor information in a resilient manner with fault detection, exclusion, and integrity solutions…”
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Sensitivity of Single-Pulse Radar Detection to Aircraft Pose Uncertainties by Costley, Austin, Christensen, Randall, Leishman, Robert C., Droge, Greg

“…Mission planners for aircraft that operate in radar detection environments are often concerned with the probability of detection. The probability of detection…”
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Analytical Aircraft State and IMU Signal Generator From Smoothed Reference Trajectory by Costley, Austin, Christensen, Randall, Leishman, Robert C., Droge, Greg N.

“…Generating aircraft position, velocity, and attitude along a reference trajectory is useful in many path and mission planning applications. In applications…”
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Sensitivity of the Probability of Radar Detection to Radar State Uncertainty by Costley, Austin, Christensen, Randall, Leishman, Robert C., Droge, Greg

“…Mission planners for aircraft operating under threat of detection from ground-based radar systems are often concerned with the probability of detection…”
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Enabling Robust State Estimation Through Measurement Error Covariance Adaptation by Watson, Ryan M., Gross, Jason N., Taylor, Clark N., Leishman, Robert C.

“…Accurate platform localization is an integral component of most robotic systems. As these robotic systems become more ubiquitous, it is necessary to develop…”
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Resilience Monitoring for Multi-Filter All-Source Navigation Framework With Assurance by Gipson, Jonathon S., Leishman, Robert C.

“…The Autonomous and Resilient Management of All-source Sensors (ARMAS) framework monitors residual-space test statistics across unique sensor-exclusion banks of…”
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Virtual testbed for monocular visual navigation of small unmanned aircraft systems by Kim, Kyung, Leishman, Robert C, Nykl, Scott L

“…Monocular visual navigation methods have seen significant advances in the last decade, recently producing several real-time solutions for autonomously…”
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Relative Navigation Approach for Vision-Based Aerial GPS-Denied Navigation by Leishman, Robert C., McLain, Timothy W., Beard, Randal W.

“…GPS-denied aerial flight is a challenging research problem and requires knowledge of complex elements from several distinct disciplines. Additionally, aerial…”
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Robust Incremental State Estimation Through Covariance Adaptation by Watson, Ryan M., Gross, Jason N., Taylor, Clark N., Leishman, Robert C.

“…Recent advances in the fields of robotics and automation have spurred significant interest in robust state estimation. To enable robust state estimation,…”
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Scorpion: A Modular Sensor Fusion Approach for Complementary Navigation Sensors by Kauffman, Kyle, Marietta, Daniel, Raquet, John, Carson, Daniel, Leishman, Robert C., Canciani, Aaron, Schofield, Adam, Caporellie, Michael

“…There is a great need to decrease our reliance on GPS by utilizing novel complementary navigation sensors. While a number of complementary navigation sensors…”
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Smart Features for Dynamic Vision Sensors by Friedel, Zachary P., Leishman, Robert C.

“…This paper presents a semi-supervised procedure for training a fully convolutional neural network for interest point detection and description. Contrary to…”
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Real-time Trajectory Optimization for Collaborative Self-Localization in Random Aircraft Formations by Gipson, Jonathon S., Kabban, Christine M. Schubert, Leishman, Robert C., Jurado, Juan D.

“…In network localization scenarios, the geometry between the anchor nodes and the node of interest determines the minimum variance of the relative position…”
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A development platform for behavioral flexibility in autonomous unmanned aerial systems by Bodin, Taylor B., Bindewald, Jason M., Leishman, Robert C., Peterson, Gilbert L., Jacques, David R.

“…Autonomous unmanned aerial systems (UAS) could supplement and eventually subsume a substantial portion of the mission set currently executed by remote pilots,…”
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Aircraft Inspection by Multirotor UAV Using Coverage Path Planning by Silberberg, Patrick, Leishman, Robert C.

“…All military and commercial aircraft must undergo frequent visual inspections in order to identify damage that could pose a danger to safety of flight…”
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Validation of Doppler Lidar Sensor using Covariance Analysis by Williams, Tristan, Leishman, Robert C.

“…A novel Doppler LiDAR sensor has been developed with the help of NASA technology transfer. This sensor can make highly accurate, three-dimensional velocity…”
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Implementation of the Rapidly-exploring Random Belief Tree and Statistical Analysis of Functionality by Machin, Timothy I, Leishman, Robert C

“…In this paper, we implement the Rapidly-exploring Random Belief Tree (RRBT) in a test environment from the original work. The algorithm is modified to utilize…”
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Artificial Dataset Generation for Automated Aircraft Visual Inspection by Gaul, Nathan J., Leishman, Robert C.

“…Aircraft visual inspection is both essential to the maintenance of an aircraft, and expensive and time-consuming to perform. Augmenting trained maintenance…”
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Swarm Control for Autonomous Navigation Support by Gipson, Jonathon S., Leishman, Robert C., Schubert Kabban, Christine M.

“…In a denied environment, vehicles equipped with all-source navigation capabilities (e.g. magnetic, visual, etc.) can maintain assured PNT solutions and serve…”
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Quadrotors and Accelerometers: State Estimation with an Improved Dynamic Model by Leishman, Robert C., Macdonald, John C., Beard, Randal W., McLain, Timothy W.

“…Results are presented that quantify how velocity and attitude estimates can benefit from an improvement to the traditional quadrotor dynamic model. The…”
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