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Found 9 papers, 2 papers with code
Robust super-resolution depth imaging via a multi-feature fusion deep network
The network is designed for a SPAD camera operating in a dual-mode such that it captures alternate low resolution depth and high resolution intensity images at high frame rates, thus the system does not require any additional sensor to provide intensity images.
High-speed object detection with a single-photon time-of-flight image sensor
The results, obtained with exposure times down to 2 ms (equivalent to 500 FPS) and in signal-to-background (SBR) ratios as low as 0. 05, point to the advantages of providing the CNN with full histogram data rather than point clouds alone.
Real-time, low-cost multi-person 3D pose estimation
The process of tracking human anatomy in computer vision is referred to pose estimation, and it is used in fields ranging from gaming to surveillance.
DronePose: The identification, segmentation, and orientation detection of drones via neural networks
The growing ubiquity of drones has raised concerns over the ability of traditional air-space monitoring technologies to accurately characterise such vehicles.
A direct time-of-flight image sensor with in-pixel surface detection and dynamic vision
3D flash LIDAR is an alternative to the traditional scanning LIDAR systems, promising precise depth imaging in a compact form factor, and free of moving parts, for applications such as self-driving cars, robotics and augmented reality (AR).
Simulating single-photon detector array sensors for depth imaging
Our approach accurately generates realistic depth images in a wide range of scenarios, allowing the performance of an optical depth imaging system to be established without the need for costly and laborious field testing.
Video super-resolution for single-photon LIDAR
3D Time-of-Flight (ToF) image sensors are used widely in applications such as self-driving cars, Augmented Reality (AR) and robotics.
TDC-less Direct Time-of-Flight Imaging Using Spiking Neural Networks
3D depth sensors using single-photon avalanche diodes (SPADs) are becoming increasingly common in applications such as autonomous navigation and object detection.
Resolution Limit of Single-Photon LiDAR
This presents a fundamental trade-off between the spatial resolution of the sensor array and the SNR received at each pixel.
