27 citations · 50 across the 5 of their papers we have counts for
5 papers
A Gaussian Process Regression based Dynamical Models Learning Algorithm for Target Tracking
Mengwei Sun, Mike E. Davies, Ian K. Proudler +1
Maneuvering target tracking is a challenging problem for sensor systems because of the unpredictability of the targets' motions. This paper proposes a novel data-driven method for…
Spline Sketches: An Efficient Approach for Photon Counting Lidar
Michael Patrick Sheehan, Julian Tachella, Mike E. Davies
Photon counting lidar has become an invaluable tool for 3D depth imaging due to the fine-precision it can achieve over long ranges. However, high frame rate, high resolution lidar…
Sketched RT3D: How to reconstruct billions of photons per second
Julián Tachella, Michael P. Sheehan, Mike E. Davies
Single-photon light detection and ranging (lidar) captures depth and intensity information of a 3D scene. Reconstructing a scene from observed photons is a challenging task due to…
Robust 3D reconstruction of dynamic scenes from single-photon lidar using Beta-divergences
Quentin Legros, Julian Tachella, Rachael Tobin +6
In this paper, we present a new algorithm for fast, online 3D reconstruction of dynamic scenes using times of arrival of photons recorded by single-photon detector arrays. One of t…
Fast online 3D reconstruction of dynamic scenes from individual single-photon detection events
Yoann Altmann, Stephen McLaughlin, Michael E. Davies
In this paper, we present an algorithm for online 3D reconstruction of dynamic scenes using individual times of arrival (ToA) of photons recorded by single-photon detector arrays.…