Andrew R. Buck, Ph.D.

2025+

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

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+

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]

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]

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]

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]

2022+

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]

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]

MINDFUL Unreal Engine Based UAV Repository

GitHub

Simulation, Drones, Code

[code]

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]

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]