All (60)
Paper (52)
Journal Paper (3)
Conference Paper (43)
Poster (7)
Code (8)
Demo (4)
Dataset (1)
Course Work (3)
Best Paper (2)
Best Student Paper (1)
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Author Includes: Derek T. Anderson (34)
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2025+
A Virtual Testbed for the Multidisciplinary Evaluation of Human-Agent Teaming Dynamics
Audrey L. Aldridge, Christopher Hudson, Karl Smink, Andrew R. Buck, Derek T. Anderson, Victor Paul, Rachel Anderson, Drew Hoelscher, Mary Quinn, Matus Pleva, Cindy L. Bethel, Daniel W. Carruth
2025 International Conference on Human-Computer Interaction (HCII), Gothenburg, Sweden, 2025
HCII, Human-Robot Interaction
HiFiAerial: A Photorealistic Synthetic Dataset with Ground Truth for Dense Prediction in Aerial Imagery
Jack Akers, Jeffrey Kerley, Derek T. Anderson, Andrew R. Buck, Daniel Buffum, James M. Keller
Proc. SPIE 13459, Synthetic Data for Artificial Intelligence and Machine Learning: Tools, Techniques, and Applications III, 2025
SPIE, Simulation, Drones, Dataset
Exploring Trust and Autonomy: How Information Affects Human-Agent Teaming Performance
Audrey L. Aldridge, Andrew R. Buck, Derek T. Anderson, Christopher Hudson, Karl Smink, Victor Paul, Rachel Anderson, Drew Hoelscher, Mary Quinn, Daniel W. Carruth, Cindy L. Bethel
Proc. SPIE 13477, Unmanned Systems Technology XXVII, 2025
Best Paper, SPIE, Human-Robot Interaction
Explainable LLM-Based Drone Autonomy Derived from Partially Observable Geospatial Data
Daniel Buffum, Jack Akers, Jeffrey Kerley, Derek T. Anderson, Andrew R. Buck, James M. Keller
Proc. SPIE 13461, Geospatial Informatics XV, 2025
SPIE, LLM, Simulation, Drones
2024+
Designing Reliable Navigation Behaviors for Autonomous Agents in Partially Observable Grid-world Environments
Andrew R. Buck, Derek T. Anderson, James M. Keller, Cindy Bethel, Audrey Aldridge
2024 International Joint Conference on Neural Networks (IJCNN), Yokohama, Japan, 2024.
WCCI, IJCNN, Pathfinding, Mental Map, MCDM
[DOI] [paper] [slides]
Autonomous Drone Behavior via MCDM of UFOMap Layers
Daniel R. Buffum, Andrew R. Buck, Jack Akers, Raub Camaioni, Matthew Deardorff, Derek T. Anderson, Robert H. Luke III
Proc. SPIE 13037, Geospatial Informatics XIV, 2024
SPIE, Simulation, Drones
[DOI] [paper]
Generating Simulated Data with a Large Language Model
Jeffrey Kerley, Derek T. Anderson, Andrew R. Buck, Brendan Alvey
Proc. SPIE 13035, Synthetic Data for Artificial Intelligence and Machine Learning: Tools, Techniques, and Applications II, 2024
SPIE, Simulation, EH Detection
[DOI] [paper]
MizSIM: A Headless Open-Source Simulation Framework for Training and Evaluating Artificial Intelligence
Andrii Soloviov, Derek T. Anderson, Andrew R. Buck, Brendan Alvey
Proc. SPIE 13035, Synthetic Data for Artificial Intelligence and Machine Learning: Tools, Techniques, and Applications II, 2024
SPIE, Simulation, Drones
[DOI] [paper]
2023+
Frame Selection Strategies for Real-Time Structure-from-Motion from an Aerial Platform
Andrew R. Buck, Jack D. Akers, Derek T. Anderson, James M. Keller, Raub Camaioni, Matthew Deardorff, Robert H. Luke III
2023 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), St. Louis, MO, USA, 2023
AIPR, Depth Estimation, Simulation, Drones
[DOI] [paper] [slides]
Improving Real-Time Aerial 3D Reconstruction: Towards Fusion of a Hand-Crafted SfM Algorithm with a Data-Driven Deep Neural Network
Jack Akers, Andrew Buck, Derek Anderson, James Keller, Raub Camaioni, Matthew Deardorff, Robert Luke III
2023 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), St. Louis, MO, USA, 2023
AIPR, Depth Estimation, Simulation, Drones
[DOI] [paper]
Capturing Uncertainty in Monocular Depth Estimation: Towards Fuzzy Voxel Maps
Andrew R. Buck, Derek T. Anderson, Raub Camaioni, Jack Akers, Robert H. Luke III
2023 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Songdo Incheon, Korea, 2023
FUZZ-IEEE, Depth Estimation, Simulation, Voxels
[DOI] [paper] [slides]
Linguistic Explanations of Black Box Deep Learning Detectors on Simulated Aerial Drone Imagery
Brendan Alvey, Derek Anderson, James Keller, Andrew Buck
Sensors 2023, 23(15), 6879
Sensors, Linguistic Summarization, Simulation, Drones
[DOI]
Ignorance Is Bliss: Flawed Assumptions in Simulated Ground Truth
Andrew R. Buck, Derek T. Anderson, Joshua Fraser, Jeffrey Kerley, Kannappan Palaniappan
Proc. SPIE 12529, Synthetic Data for Artificial Intelligence and Machine Learning: Tools, Techniques, and Applications, 2023
SPIE, Depth Estimation, Simulation
[DOI] [paper] [slides] [video]
Simulated Gold-Standard for Quantitative Evaluation of Monocular Vision Algorithms
Jack Akers, Andrew Buck, Raub Camaioni, Derek T. Anderson, Robert H. Luke III, James M. Keller, Matthew Deardorff, Brendan Alvey
Proc. SPIE 12525, Geospatial Informatics XIII, 2023
SPIE, Drones, Simulation, Voxels
[DOI] [paper] [video]
How Should Simulated Data Be Collected for AI/ML and Unmanned Aerial Vehicles?
Jeffrey Kerley, Derek T. Anderson, Brendan Alvey, Andrew Buck
Proc. SPIE 12529, Synthetic Data for Artificial Intelligence and Machine Learning: Tools, Techniques, and Applications, 2023
SPIE, Simulation, EH Detection, Drones
[DOI] [paper] [video]
Human-Robot Teaming for a Cooperative Game in a Shared Partially Observable Space
Brendan Mooers, Audrey L. Aldridge, Andrew Buck, Cindy L. Bethel, Derek T. Anderson
Proc. SPIE 12525, Geospatial Informatics XIII, 2023
SPIE, Human-Robot Interaction, Pathfinding, MCDM, Mental Map
[DOI] [paper] [video]
2022+
A Comparison of Relative Position Descriptors for 3D Objects
Andrew R. Buck, Derek T. Anderson, James M. Keller, Robert H. Luke III, Grant Scott
2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Padua, Italy, 2022
WCCI, FUZZ-IEEE, Spatial Relations, Histogram of Forces, Demo
[DOI] [paper] [slides]
Unreal Engine-Based Photorealistic Aerial Data Generation and Unit Testing of Artificial Intelligence Algorithms
Andrew Buck, Raub Camaioni, Brendan Alvey, Derek T. Anderson, James M. Keller, Robert H. Luke III, Grant Scott
Proc. SPIE 12099, Geospatial Informatics XII, 2022
SPIE, Drones, Simulation, MCDM, Voxels
[DOI] [paper] [slides] [video]
EpiDepth: A Real-Time Monocular Dense-Depth Estimation Pipeline Using Generic Image Rectification
Raub Camaioni, Robert H. Luke III, Andrew Buck, Derek T. Anderson
Proc. SPIE 12099, Geospatial Informatics XII, 2022
SPIE, Depth Estimation, Drones
[DOI] [paper] [video]
Procedurally Generated Simulated Datasets for Aerial Explosive Hazard Detection
Jeffrey Kerley, Aaron Fuller, Madeline Kovaleski, Peter Popescu, Brendan Alvey, Derek T. Anderson, Andrew Buck, James M. Keller, Grant Scott, Clare Yang, Ken E. Yasuda, Hollie A. Ryan
Proc. SPIE 12116, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XXIII, 2022
SPIE, EH Detection, Simulation
[DOI] [paper] [video]
Explosive Hazard Pre-Screener Based on Simulated Data with Perfect Annotation and Imprecisely Labeled Real Data
Madeline Kovaleski, Aaron Fuller, Jeffrey Kerley, Brendan Alvey, Peter Popescu, Derek T. Anderson, Andrew Buck, James M. Keller, Grant Scott, Clare Yang, Ken E. Yasuda, Hollie A. Ryan
Proc. SPIE 12116, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XXIII, 2022
SPIE, EH Detection, Simulation
[DOI] [paper] [video]
2021+
Characterization of Deep Learning-Based Aerial Explosive Hazard Detection using Simulated Data
Brendan J. Alvey, Derek T. Anderson, Clare Yang, Andrew Buck, James M. Keller, Ken E. Yasuda, Hollie A. Ryan
2021 IEEE Symposium Series on Computational Intelligence (SSCI), 2021
SSCI, Drones, EH Detection, Simulation, Deep Learning
[DOI] [video]
Simulated Photorealistic Deep Learning Framework and Workflows to Accelerate Computer Vision and Unmanned Aerial Vehicle Research
Brendan Alvey, Derek T. Anderson, Andrew Buck, Matthew Deardorff, Grant Scott, Timothy Wilkin, James M. Keller
2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2021
ICCVW, Drones, Simulation, Deep Learning, Code
[DOI] [paper] [video] [code]
A Fuzzy Spatial Relationship Graph for Point Clouds Using Bounding Boxes
Andrew R. Buck, Derek T. Anderson, James M. Keller, Robert H. Luke III, Grant Scott
2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Luxembourg, 2021
FUZZ-IEEE, Spatial Relations, MCDM
[DOI] [paper] [slides] [video]
VADER: A Hardware and Simulation Platform for Visually Aware Drone Autonomy Research
Andrew Buck, Matthew Deardorff, Derek T. Anderson, Timothy Wilkin, James M. Keller, Grant Scott, Robert H. Luke III, Raub Camaioni
Proc. SPIE 11758, Unmanned Systems Technology XXIII, 2021
SPIE, Drones, Simulation, Voxels
[DOI] [paper] [slides] [video]
Metadata Enabled Contextual Sensor Fusion for Unmanned Aerial System-Based Explosive Hazard Detection
Matthew Deardorff, Brendan Alvey, Derek T. Anderson, James M. Keller, Grant Scott, Dominic Ho, Andrew Buck, Clare Yang, Brad Libbey
Proc. SPIE 11750, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXVI, 2021
SPIE, EH Detection, Drones, Fuzzy Integral
[DOI] [paper] [video]
Concept Learning Based on Human Interaction and Explainable AI
Blake Ruprecht, Derek T. Anderson, Fred Petry, James Keller, Christopher Michael, Andrew Buck, Grant Scott, Curt Davis
Proc. SPIE 11735, Pattern Recognition and Tracking XXXII, 2021
SPIE, Spatial Relations, Histogram of Forces
[DOI] [paper] [video]
Human-in-the-Loop Extension to Stream Classification for Labeling of Low Altitude Drone Imagery
Jeffrey Schulz, Andrew Buck, Derek T. Anderson, James M. Keller, Grant Scott, Robert H. Luke III
Proc. SPIE 11748, Autonomous Systems: Sensors, Processing, and Security for Vehicles and Infrastructure, 2021
SPIE, Drones
[DOI] [paper] [video]
Improving Explosive Hazard Detection with Simulated and Augmented Data for an Unmanned Aerial System
Brendan Alvey, Derek T. Anderson, James M. Keller, Andrew Buck, Grant Scott, Dominic Ho, Clare Yang, Brad Libbey
Proc SPIE 11750, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXVI, 2021
SPIE, Drones, EH Detection, Simulation
[DOI] [paper] [video]
2020+
Extending the Morphological Hit-or-Miss Transform to Deep Neural Networks
Muhammad Aminul Islam, Bryce Murray, Andrew R. Buck, Derek T. Anderson, Grant Scott, Mihail Popescu, James Keller
IEEE Transactions on Neural Networks and Learning Systems, Oct. 2020
IEEE-TNNLS, arXiv, Deep Learning, Morphology
[DOI] [arXiv]
A Weighted Matrix Visualization for Fuzzy Measures and Integrals
Andrew R. Buck, Derek T. Anderson, James M. Keller, Timothy Wilkin, Muhammad Aminul Islam
2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Glasgow, United Kingdom, 2020
WCCI, FUZZ-IEEE, Fuzzy Integral, Visualization, Code
[DOI] [paper] [slides] [video] [code]
Doing More With Less: Similarity Neural Nets and Metrics for Small Class Imbalanced Data Sets
Charlie Veal, Jeffrey Schulz, Andrew Buck, Derek Anderson, James Keller, Mihail Popescu, Grant Scott, Dominic Ho, Timothy Wilkin
Proc. SPIE 11418, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXV, 2020
SPIE, Deep Learning
[DOI]
Extending Deep Learning to New Classes without Retraining
Jeffrey Schulz, Charlie Veal, Andrew Buck, Derek Anderson, James Keller, Mihail Popescu, Grant Scott, Dominic K. C. Ho, Timothy Wilkin
Proc. SPIE 11418, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXV, 2020
SPIE, Deep Learning
[DOI] [paper] [video]
Fuzzy Integral = Contextual Linear Order Statistic
Derek T. Anderson, Matthew Deardorff, Timothy C. Havens, Siva K. Kakula, Timothy Wilkin, Muhammad Aminul Islam, Anthony J. Pinar, Andrew R. Buck
arXiv, 2020
arXiv, Fuzzy Integral
[arXiv]