Biography
Gadd is a Postdoctoral Research Assistant (PDRA) at the University of Oxford and a Junior Research Fellow at Kellogg College. He works with Professor Paul Newman in the Mobile Robotics Group (MRG), part of the Oxford Robotics Institute (ORI). Gadd originally joined MRG as a student reading for a DPhil in Engineering Science at Keble College. Before arriving in the United Kingdom, he was an undergraduate student at the University of Cape Town, South Africa, where he studied Mechatronics Engineering.
Research Interests
- Robotics,
- Autonomous Vehicles,
- Computer Vision,
- Machine Learning
Research Groups
Current Projects
Sense Assess eXplain (SAX) - acceptably auditable action from autonomous vehicles in formidable environments is only going to be possible with robust sensors and sensing which are nevertheless introspective where unavoidably fallible
Related Academics
Recent Publications
Mitigating distributional shift in semantic segmentation via uncertainty estimation from unlabelled data
Williams DSW, De Martini D, Gadd M & Newman P (2024), IEEE Transactions on Robotics
BibTeX
@article{mitigatingdistr-2024/5,
title={Mitigating distributional shift in semantic segmentation via uncertainty estimation from unlabelled data},
author={Williams DSW, De Martini D, Gadd M & Newman P},
journal={IEEE Transactions on Robotics},
publisher={IEEE},
year = "2024"
}
VDNA-PR: Using General Dataset Representations for Robust Sequential Visual Place Recognition
Ramtoula B, De Martini D, Gadd M & Newman P (2024)
BibTeX
@misc{vdnaprusinggene-2024/3,
title={VDNA-PR: Using General Dataset Representations for Robust Sequential Visual Place Recognition},
author={Ramtoula B, De Martini D, Gadd M & Newman P},
year = "2024"
}
That's My Point: Compact Object-centric LiDAR Pose Estimation for Large-scale Outdoor Localisation
Pramatarov G, Gadd M, Newman P & De Martini D (2024)
BibTeX
@misc{thatsmypointcom-2024/3,
title={That's My Point: Compact Object-centric LiDAR Pose Estimation for Large-scale Outdoor Localisation},
author={Pramatarov G, Gadd M, Newman P & De Martini D},
year = "2024"
}
OORD: The Oxford Offroad Radar Dataset
Gadd M, De Martini D, Bartlett O, Murcutt P, Towlson M et al. (2024)
BibTeX
@misc{oordtheoxfordof-2024/3,
title={OORD: The Oxford Offroad Radar Dataset},
author={Gadd M, De Martini D, Bartlett O, Murcutt P, Towlson M et al.},
year = "2024"
}
SEM-GAT: explainable semantic pose estimation using learned graph attention
Panagiotaki E, De Martini D, Pramatarov G, Gadd M & Kunze L (2024), 367-374
BibTeX
@inproceedings{semgatexplainab-2024/2,
title={SEM-GAT: explainable semantic pose estimation using learned graph attention},
author={Panagiotaki E, De Martini D, Pramatarov G, Gadd M & Kunze L},
booktitle={21st International Conference on Advanced Robotics (ICAR 2023)},
pages={367-374},
year = "2024"
}
NeuralFloors: conditional street-level scene generation from BEV semantic maps via neural fields
Muat V, De Martini D, Gadd M & Newman P (2024), IEEE Robotics and Automation Letters, 9(3), 2431-2438
BibTeX
@article{neuralfloorscon-2024/1,
title={NeuralFloors: conditional street-level scene generation from BEV semantic maps via neural fields},
author={Muat V, De Martini D, Gadd M & Newman P},
journal={IEEE Robotics and Automation Letters},
volume={9},
pages={2431-2438},
publisher={IEEE},
year = "2024"
}
Off the radar: uncertainty-aware radar place recognition with introspective querying and map maintenance
Yuan J, Newman P & Gadd M (2023), 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 1350-1357
BibTeX
@inproceedings{offtheradarunce-2023/12,
title={Off the radar: uncertainty-aware radar place recognition with introspective querying and map maintenance},
author={Yuan J, Newman P & Gadd M},
booktitle={2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2023)},
pages={1350-1357},
year = "2023"
}
Visual servoing on wheels: robust robot orientation estimation in remote viewpoint control
Robinson L, De Martini D, Gadd M & Newman P (2023), 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 6364-6370
BibTeX
@inproceedings{visualservoingo-2023/12,
title={Visual servoing on wheels: robust robot orientation estimation in remote viewpoint control},
author={Robinson L, De Martini D, Gadd M & Newman P},
booktitle={2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2023)},
pages={6364-6370},
year = "2023"
}
LROC-PANGU-GAN: closing the simulation gap in learning crater segmentation with planetary simulators
La J, Phadke J, Hutton M, Schwinning M, De Canio G et al. (2023), Proceedings of ASTRA 2023
BibTeX
@inproceedings{lrocpanguganclo-2023/10,
title={LROC-PANGU-GAN: closing the simulation gap in learning crater segmentation with planetary simulators},
author={La J, Phadke J, Hutton M, Schwinning M, De Canio G et al.},
booktitle={17th Symposium on Advanced Space Technologies in Robotics and Automation (ASTRA 2023)},
year = "2023"
}
What you see is what you get: Experience ranking with deep neural dataset-to-dataset similarity for topological localisation
Gadd M, Ramtoula B, De Martini D & Newman P (2023)
BibTeX
@misc{whatyouseeiswha-2023/10,
title={What you see is what you get: Experience ranking with deep neural dataset-to-dataset similarity for topological localisation},
author={Gadd M, Ramtoula B, De Martini D & Newman P},
year = "2023"
}
Google Scholar
Awards and Prizes
2013 FirstRand Laurie Dippenaar Scholarship
