John McDonald is a Professor in the Department of Computer Science at Maynooth University, and an affiliate of both the Maynooth University Hamilton Institute and Assisting Living and Learning Institute. His research interests include computer vision, robotics, and AI, focussing on the development of spatial perception and intelligence for autonomous mobile robotics. His research has been funded under various research programmes from Science Foundation Ireland, the EU, Enterprise Ireland, and the Irish Research Council. He is currently a Funded Investigator in Lero, the Science Foundation Ireland Research Centre for Software, a named supervisor in the SFI Centre for Research Training in the Foundations of Data Science, and collaborator on the SFI Blended Autonomy Vehicles Spoke. Previously, he was a visiting scientist at University of Connecticut, the National Centre for Geocomputation (NCG), and the Computer Science and Artificial Intelligence Lab (CSAIL) at MIT.
Publications
2023
Horgan, Jonathan, McDonald, John, Ramachandran, Saravanabalagi, Sistu, Ganesh.
2023.
Scalable and Efficient Hierarchical Visual Topological Mapping.
In: 2023 21st International Conference on Advanced Robotics (ICAR), IEEE.
doi: 10.1109/icar58858.2023.10406394.
2022
Horgan, J, McDonald, J, Ramachandran, S, Sistu, G.
2022.
Fast and Efficient Scene Categorization for Autonomous Driving using VAEs.
In: Irish Machine Vision and Image Processing Conference.
Eising, Ciaran, Horgan, Jonathan, McDonald, John, Moran, Paul, Pereira, Leroy-Francisco, Selvaraju, Anbuchezhiyan.
2022.
2.5D vehicle odometry estimation.
IET Intelligent Transport Systems, 16, 292-308.
doi: https://doi.org/10.1049/itr2.12143.
2019
McDonald, J, Ramachandran, S.
2019.
Place Recognition in Challenging Conditions.
In: Irish Machine Vision and Image Processing Conference.
doi: 10.21427/seen-pq19.
Burns, T, McDonald, J, Pearlmutter, B.
2019.
MouldingNet: deep-learning for 3D object reconstruction.
In: Irish Machine Vision and Image Processing Conference.
doi: 10.21427/synp-mr39.
Gallagher, L, McDonald, J.
2019.
Efficient Surfel Fusion Using Normalised Information Distance.
In: CVPR 2019 Workshop on 3D Scene Understanding for Vision, Graphics, and Robotics.
Available at: https://scene-understanding.com/program.html.
Burns, T, McDonald, J, Pearlmutter, B.
2019.
Burns, T., Pearlmutter, B. & McDonald, J. (2019). MouldingNet: deep-learning for 3D object reconstruction. IMVIP 2019: Irish Machine Vision & Image Processing, Technological University Dublin, Dublin, Ireland, August 28-30. doi:10.21427/synp-mr39.
In: Irish Machine Vision and Image Processing Conference.
doi: 10.21427/synp-mr39.
2018
Contact Details
Maynooth University