Computer Science and Software Engineering
This is a demonstration of our research into drones using precision tools. The video shows a case study of these techniques to prune a tree branch autonomously. No GPS is used, stabilisation and navigation is performed using Visual Inertial Odometry , and neural network feature detection.
The Computer Science research team focuses on developing autonomous drone control using computer vision, artificial intelligence and deep learning techniques.
Both aerial and underwater drones are developed, each having their own particular challenges when using vision systems for control.
Communications are a vital link for autonomous systems, and the teams are also developing methods of underwater transmission for high-speed video.
The Computer Science and Software Engineering department has world-renowned academics working in human computer interaction, artificial intelligence, cybersecurity, communication networking, and resilient software engineering. All these areas are applied to the technology of safe autonomous drones.
The department also has long-standing expertise in developing Computer Science teaching in high schools, and we believe drone technology can play a major role in encouraging students to take up careers in science and engineering.
Recent drone research projects
The CSSE drone research team consist of
Dr Richard Green Professor, Head of Department
Dr Andreas Willig Associate Professor, Communication networks
Kelvin Barnsdale Senior Research Engineer, UCDroneLab
Matthew Edwards Research Assistant and PhD candidate, UAVs
Sam Schofield, Research Assistant and PhD candidate, UAVs
Ori Ganoni, Research Assistant and PhD candidate, AUVs
Oliver Batchelor, Research Assistant and PhD candidate, Computer vision
Tim Rensen, Research Assistant, UAVs and AUVs
Timothy Irving, Masters student, Computer vision
Find out more about the research in Computer Science and Software Engineering