36 citations · 62 across the 6 of their papers we have counts for
6 papers · 1 filter
A Bayesian Based Deep Unrolling Algorithm for Single-Photon Lidar Systems
Jakeoung Koo, Abderrahim Halimi, Stephen McLaughlin
Deploying 3D single-photon Lidar imaging in real world applications faces multiple challenges including imaging in high noise environments. Several algorithms have been proposed to…
Fast Task-Based Adaptive Sampling for 3D Single-Photon Multispectral Lidar Data
Mohamed Amir Alaa Belmekki, Rachael Tobin, Gerald S. Buller +2
3D single-photon LiDAR imaging plays an important role in numerous applications. However, long acquisition times and significant data volumes present a challenge to LiDAR imaging.…
High-speed object detection with a single-photon time-of-flight image sensor
Germán Mora-Martín, Alex Turpin, Alice Ruget +4
3D time-of-flight (ToF) imaging is used in a variety of applications such as augmented reality (AR), computer interfaces, robotics and autonomous systems. Single-photon avalanche d…
Robust and Guided Bayesian Reconstruction of Single-Photon 3D Lidar Data: Application to Multispectral and Underwater Imaging
Abderrahim Halimi, Aurora Maccarone, Robert Lamb +2
3D Lidar imaging can be a challenging modality when using multiple wavelengths, or when imaging in high noise environments (e.g., imaging through obscurants). This paper presents a…
Robust super-resolution depth imaging via a multi-feature fusion deep network
Alice Ruget, Stephen McLaughlin, Robert K. Henderson +3
Three-dimensional imaging plays an important role in imaging applications where it is necessary to record depth. The number of applications that use depth imaging is increasing rap…
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…