2 citations · 8 across the 7 of their papers we have counts for
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cs.LG2022★ 2 cited
Benchmarking Learnt Radio Localisation under Distribution Shift
Maximilian Arnold, Mohammed Alloulah
Deploying radio frequency (RF) localisation systems invariably entails non-trivial effort, particularly for the latest learning-based breeds. There has been little prior work on ch…
cs.LG2022
Look, Radiate, and Learn: Self-Supervised Localisation via Radio-Visual Correspondence
Mohammed Alloulah, Maximilian Arnold
Next generation cellular networks will implement radio sensing functions alongside customary communications, thereby enabling unprecedented worldwide sensing coverage outdoors. Dee…
cs.LG2021★ 2 cited
Deep Inertial Navigation using Continuous Domain Adaptation and Optimal Transport
Mohammed Alloulah, Maximilian Arnold, Anton Isopoussu
In this paper, we propose a new strategy for learning inertial robotic navigation models. The proposed strategy enhances the generalisability of end-to-end inertial modelling, and…