2 citations · 8 across the 7 of their papers we have counts for
7 papers
Bootstrapping Autonomous Driving Radars with Self-Supervised Learning
Yiduo Hao, Sohrab Madani, Junfeng Guan +3
The perception of autonomous vehicles using radars has attracted increased research interest due its ability to operate in fog and bad weather. However, training radar models is hi…
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…
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…
Self-Supervised Radio-Visual Representation Learning for 6G Sensing
Mohammed Alloulah, Akash Deep Singh, Maximilian Arnold
In future 6G cellular networks, a joint communication and sensing protocol will allow the network to perceive the environment, opening the door for many new applications atop a uni…
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…
On Goodness of WiFi based Monitoring of Vital Signs in the Wild
Kamran Ali, Mohammed Alloulah, Fahim Kawsar +1
WiFi channel state information (CSI) has emerged as a plausible modality for sensing different human vital signs, i.e. respiration and body motion, as a function of modulated wirel…
On Tracking the Physicality of Wi-Fi: A Subspace Approach
Mohammed Alloulah, Anton Isopoussu, Chulhong Min +1
Wi-Fi channel state information (CSI) has emerged as a plausible modality for sensing different human activities as a function of modulations in the wireless signal that travels be…