Donald H. Costello
Papers
3
Total Citations
19
H-Index
3
About
Donald H. Costello is a leading researcher advancing autonomous systems for naval aviation, with a focus on computer vision, uncertainty quantification, and airworthiness certification. His work directly supports the U.S. Navy’s push toward uncrewed aircraft and reduced RF signatures. In his most-cited paper (2024, 8 citations), Costello introduced a probabilistic method for 3D object tracking using binocular cameras, incorporating quantified camera uncertainty to enhance tracking reliability in GPS-denied environments. His 2023 paper (6 citations) pioneered the use of industrial robotics and motion capture to automatically generate ground-truth image labels, solving a critical bottleneck in training deep neural networks for autonomous carrier-based aircraft. Costello also co-authored the 2022 National Airworthiness Council AI Working Group summit proceedings (5 citations), which established foundational airworthiness guidelines for AI-enabled uncrewed systems operating in contested airspace. By bridging computer vision, machine learning, and defense certification standards, Costello’s research provides the technical and regulatory framework needed to safely integrate autonomous aircraft into carrier operations, directly impacting the future of naval aviation.
Research Focus
Key Achievements
Top Papers
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