Donald G. Bailey
Papers
14
Total Citations
345
H-Index
7
About
Donald G. Bailey is a leading authority at the intersection of embedded image processing, field-programmable gate arrays (FPGAs), and agricultural robotics. His seminal work, *Design for Embedded Image Processing on FPGAs* (over 215 citations), provides the foundational framework for implementing real-time, parallel vision systems directly in hardware—a critical enabler for autonomous machines operating under tight power and latency constraints. Bailey’s contributions extend from low-level pixel manipulation to high-level robotic perception: he pioneered fast colour segmentation using discrete YUV look-up tables and developed novel colour spaces for robust object tracking, directly impacting real-time applications like robot soccer. His applied research is equally notable, including the design of a custom robotic arm and low-cost colour sensors for automated plant health monitoring in micropropagation systems, and advancing 3D vision systems for precision agriculture. With a career spanning hardware architecture, colour science, and agricultural automation, Bailey’s work demonstrates how embedded vision can bridge the gap between algorithm design and practical, field-deployable robotics.
Research Focus
Key Achievements
Top Papers
- 1Design for Embedded Image Processing on FPGAs215 citations · 2023
- 2Low cost colour sensors for monitoring plant growth in a laboratory35 citations · 2011
- 3Robotic Systems - Applications, Control and Programming25 citations · 2012
- 4Overview of image-based 3D vision systems for agricultural applications13 citations · 2017
- 5Recent Advances in Robotics and Automation12 citations · 2013
- 6
- 7A New Colour Space for Efficient and Robust Segmentation8 citations · 2005
- 8Intelligent Camera for Object Identification and Tracking6 citations · 2013
- 9FPGA Implementation of Global Vision for Robot Soccer as a Smart Camera5 citations · 2014
- 10Towards automatic colour segmentation for robot soccer4 citations · 2015