no code implementations • 7 Dec 2023 • Yiduo Hao, Sohrab Madani, Junfeng Guan, Mohammed Alloulah, Saurabh Gupta, Haitham Hassanieh
The perception of autonomous vehicles using radars has attracted increased research interest due its ability to operate in fog and bad weather.
no code implementations • 4 Oct 2022 • Maximilian Arnold, Mohammed Alloulah
Deploying radio frequency (RF) localisation systems invariably entails non-trivial effort, particularly for the latest learning-based breeds.
no code implementations • CVPR 2023 • Mohammed Alloulah, Maximilian Arnold
Deep learning has revolutionised computer vision but has had limited application to radio perception tasks, in part due to lack of systematic datasets and benchmarks dedicated to the study of the performance and promise of radio sensing.
no code implementations • 1 Nov 2021 • 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 unified communication-perception infrastructure.
no code implementations • 29 Jun 2021 • Mohammed Alloulah, Maximilian Arnold, Anton Isopoussu
(2) We propose neural architectures and algorithms to assimilate knowledge from an indexed set of sensor positions in order to enhance the robustness and generalisability of robotic inertial tracking in the field.