1 citations · 1 across the 2 of their papers we have counts for
7 papers
EM-based approach to 3D reconstruction from single-waveform multispectral Lidar data
Quentin Legros, Sylvain Meignen, Stephen McLaughlin +1
In this paper, we present a novel Bayesian approach for estimating spectral and range profiles from single-photon Lidar waveforms associated with single surfaces in the photon-limi…
A Hierarchical Bayesian Approach to Neutron Spectrum Unfolding with Organic Scintillators
Haonan Zhu, Yoann Altmann, Angela Di Fulvioand Stephen McLaughlin +2
We propose a hierarchical Bayesian model and state-of-art Monte Carlo sampling method to solve the unfolding problem, i.e., to estimate the spectrum of an unknown neutron source fr…
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.…
Real-time 3D reconstruction from single-photon lidar data using plug-and-play point cloud denoisers
Julián Tachella, Yoann Altmann, Nicolas Mellado +5
Single-photon lidar has emerged as a prime candidate technology for depth imaging through challenging environments. Until now, a major limitation has been the significant amount of…
Bayesian 3D Reconstruction of Subsampled Multispectral Single-photon Lidar Signals
Julián Tachella, Yoann Altmann, Miguel Márquez +3
Light detection and ranging (Lidar) single-photon devices capture range and intensity information from a 3D scene. This modality enables long range 3D reconstruction with high rang…
Long-range depth imaging using a single-photon detector array and non-local data fusion
Susan Chan, Abderrahim Halimi, Feng Zhu +6
The ability to measure and record high-resolution depth images at long stand-off distances is important for a wide range of applications, including connected and automotive vehicle…