Donald H. Costello

Orcid: 0000-0003-3495-7655

According to our database1, Donald H. Costello authored at least 17 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Exploring deep neural networks for real-world ship detection using scaled model images and chroma key technology.
Neural Comput. Appl., February, 2026

Precise Ranging to an Aerial Refueling Coupler Using a DNN-Based Detection Method Based on Monocular Camera Data.
IEEE Access, 2026

2025
Uncertainty Informed Position Estimation Using Multi-view Cameras.
J. Intell. Robotic Syst., June, 2025

Drone Operator Workload Analysis for Integration onto a Naval Vessel.
J. Intell. Robotic Syst., June, 2025

Test and Evaluation of Autonomous Systems: Developing the Educational Landscape.
Computer, January, 2025

Advancing Autonomous Aerial Refueling with Deep-Neural-Network-Based Image Segmentation.
J. Aerosp. Inf. Syst., 2025

2024
Refining autonomous vehicle situational awareness due to varying sensor error.
Syst. Eng., March, 2024

A Deep Neural Network Approach for Drogue Detection Using Laboratory-Chroma Key Images.
IEEE Access, 2024

Discriminating Similar Naval Vessels Using YOLOv8 Deep Neural Network.
IEEE Access, 2024

Using Sensor Errors to Define Autonomous System Situational Awareness.
IEEE Access, 2024

Development Life Cycle for Using a DNN to Complete the Autonomous Aerial Refueling Task.
IEEE Access, 2024

2023
The National Airworthiness Council artificial intelligence working group (NACAIWG) summit proceedings 2022.
Syst. Eng., November, 2023

DNN Based Ranging in Support of Autonomous Aerial Refueling.
J. Intell. Robotic Syst., November, 2023

Using a run time assurance approach for certifying autonomy within naval aviation.
Syst. Eng., May, 2023

Assessing the Predictive Performance of Two DNN Models: A Comparative Analysis to Support Reusing Training Weights for Autonomous Aerial Refueling Missions.
IEEE Access, 2023

2021
Relating Sensor Degradation to Vehicle Situational Awareness for Autonomous Air Vehicle Certification.
J. Aerosp. Inf. Syst., April, 2021

Generating Certification Evidence for Autonomous Aerial Vehicles Decision-Making.
J. Aerosp. Inf. Syst., January, 2021


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