Photon-efficient imaging, which captures 3D images with single-photon sensors, has
enabled a wide range of applications. However, two major challenges limit the …

Quantum metrology, including quantum sensing and imaging, offers significant advantages
over classical methods in terms of sensitivity and accuracy. This paper presents its potential …

Photon-efficient 3D reconstruction under sparse photon conditions remains challenges.
Especially for scene edge locations, the light scattering results in a weaker echo signal than …

Single-photon imaging holds extensive application value, yet its imaging quality is often
constrained by low signal-to-background ratios (SBRs). In this paper, we designed a …

3D single-photon LiDAR imaging plays an important role in numerous applications.
However, long acquisition times and significant data volumes present a challenge for LiDAR …

Photon counting LiDAR can capture the 3D information of long-distance targets and has the
advantages of high sensitivity and high resolution. However, the noise counts restrict …

3D single-photon LiDAR imaging has an important role in many applications. However, full
deployment of this modality will require the analysis of low signal to noise ratio target returns …

LiDAR point cloud object recognition plays an important role in robotics, remote sensing,
and automatic driving. However, it is difficult to fully represent the object feature information …

Driven by both defense and consumer markets, the impact of More-than-Moore philosophy
is seeing substantial progress in Light Detection and Ranging (LiDAR)-based technologies …

3D single-photon LiDAR imaging has an important role in many applications. However, full
deployment of this modality will require the analysis of low signal to noise ratio target returns …