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Daniele De Martini
Daniele De Martini
Departmental Lecturer in Mobile Robotics, Oxford Robotics Institute
Bestätigte E-Mail-Adresse bei robots.ox.ac.uk
Titel
Zitiert von
Zitiert von
Jahr
Online fall detection using recurrent neural networks on smart wearable devices
M Musci, D De Martini, N Blago, T Facchinetti, M Piastra
IEEE Transactions on Emerging Topics in Computing 9 (3), 1276-1289, 2020
1422020
Kidnapped radar: Topological radar localisation using rotationally-invariant metric learning
Ş Săftescu, M Gadd, D De Martini, D Barnes, P Newman
2020 IEEE International Conference on Robotics and Automation (ICRA), 4358-4364, 2020
752020
RSS-Net: weakly-supervised multi-class semantic segmentation with FMCW radar
D De Martini, P Kaul, M Gadd, P Newman
Proceedings of the 2020 IEEE Intelligent Vehicles Symposium (IV2020), 2020
67*2020
Rsl-net: Localising in satellite images from a radar on the ground
TY Tang, D De Martini, D Barnes, P Newman
IEEE Robotics and Automation Letters 5 (2), 1087-1094, 2020
662020
Fast radar motion estimation with a learnt focus of attention using weak supervision
R Aldera, D De Martini, M Gadd, P Newman
2019 International Conference on Robotics and Automation (ICRA), 1190-1196, 2019
632019
What Could Go Wrong? Introspective Radar Odometry in Challenging Environments
R Aldera, D De Martini, M Gadd, P Newman
IEEE Intelligent Transportation Systems Conference, 2019
522019
Sampling, communication, and prediction co-design for synchronizing the real-world device and digital model in metaverse
Z Meng, C She, G Zhao, D De Martini
IEEE Journal on Selected Areas in Communications 41 (1), 288-300, 2022
492022
Look around you: Sequence-based radar place recognition with learned rotational invariance
M Gadd, D De Martini, P Newman
2020 IEEE/ION Position, Location and Navigation Symposium (PLANS), 270-276, 2020
482020
KRadar++: Coarse-to-fine FMCW scanning radar localisation
D De Martini, M Gadd, P Newman
Sensors 20 (21), 6002, 2020
282020
Self-supervised localisation between range sensors and overhead imagery
TY Tang, D De Martini, S Wu, P Newman
arXiv preprint arXiv:2006.02108, 2020
252020
Fall detection with supervised machine learning using wearable sensors
D Giuffrida, G Benetti, D De Martini, T Facchinetti
2019 IEEE 17th International Conference on Industrial Informatics (INDIN) 1 …, 2019
252019
Contrastive learning for unsupervised radar place recognition
M Gadd, D De Martini, P Newman
2021 20th International Conference on Advanced Robotics (ICAR), 344-349, 2021
242021
Self-supervised learning for using overhead imagery as maps in outdoor range sensor localization
TY Tang, D De Martini, S Wu, P Newman
The International Journal of Robotics Research 40 (12-14), 1488-1509, 2021
222021
Rainbench: Towards data-driven global precipitation forecasting from satellite imagery
CS de Witt, C Tong, V Zantedeschi, D De Martini, A Kalaitzis, M Chantry, ...
Proceedings of the AAAI Conference on Artificial Intelligence 35 (17), 14902 …, 2021
22*2021
Get to the Point: Learning Lidar Place Recognition and Metric Localisation Using Overhead Imagery
TY Tang, D De Martini, P Newman
Robotics: science and systems, 2021
222021
Sense-Assess-eXplain (SAX): building trust in autonomous vehicles in challenging real-world driving scenarios
D De Martini, M Marchegiani, P Newman, M Gadd, L Kunze
2020 IEEE Intelligent Vehicles Symposium (IV), 2020
222020
A comparison of rssi filtering techniques for range-based localization
MA Koledoye, D De Martini, S Rigoni, T Facchinetti
2018 IEEE 23rd International Conference on Emerging Technologies and Factory …, 2018
202018
Fast-MbyM: Leveraging translational invariance of the Fourier transform for efficient and accurate radar odometry
R Weston, M Gadd, D De Martini, P Newman, I Posner
2022 International Conference on Robotics and Automation (ICRA), 2186-2192, 2022
192022
On the road: Route proposal from radar self-supervised by fuzzy LiDAR traversability
M Broome, M Gadd, D De Martini, P Newman
AI 1 (4), 558-585, 2020
182020
Keep off the grass: Permissible driving routes from radar with weak audio supervision
D Williams, D De Martini, M Gadd, L Marchegiani, P Newman
2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020
182020
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