A review of ToF-based LiDAR
In recent years, propelled by the rapid iterative advancements in digital imaging technology
and the semiconductor industry, encompassing microelectronic design, manufacturing …
and the semiconductor industry, encompassing microelectronic design, manufacturing …
Solid-state dToF LiDAR system using an eight-channel addressable, 20-W/ch transmitter, and a 128× 128 SPAD receiver with SNR-based pixel binning and resolution …
An entire solid-state direct time-of-flight (dToF) light detection and ranging (LiDAR) system
that incorporates innovations for both the transmitter (TX) and the receiver (RX) is presented …
that incorporates innovations for both the transmitter (TX) and the receiver (RX) is presented …
Depth on Demand: Streaming Dense Depth from a Low Frame Rate Active Sensor
High frame rate and accurate depth estimation plays an important role in several tasks
crucial to robotics and automotive perception. To date, this can be achieved through ToF …
crucial to robotics and automotive perception. To date, this can be achieved through ToF …
Mitigating AC and DC interference in multi-ToF-camera environments
Multi-camera interference (MCI) is an important challenge faced by continuous-wave time-of-
flight (C-ToF) cameras. In the presence of other cameras, a C-ToF camera may receive light …
flight (C-ToF) cameras. In the presence of other cameras, a C-ToF camera may receive light …
Depth super-resolution from explicit and implicit high-frequency features
Guided depth super-resolution aims at using a low-resolution depth map and an associated
high-resolution RGB image to recover a high-resolution depth map. However, restoring …
high-resolution RGB image to recover a high-resolution depth map. However, restoring …
Simultaneous multifrequency demodulation for single-shot multiple-path ToF imaging
Indirect Time-of-Flight (iToF) sensors measure the received signal's phase shift or time delay
to calculate depth. In realistic conditions, however, recovering depth is challenging as …
to calculate depth. In realistic conditions, however, recovering depth is challenging as …
KBMeasure: small sample in-situ damage automatic measurement method based on the combination of keypoints detection and binocular 3D reconstruction for aero …
X Wu, Y Liu, X Wei, H Xu, W He, R Cheng, L Zhou… - Optics …, 2024 - opg.optica.org
Size is one of the important bases for the level assessment of aero-engine blade damage
and the disposal method selection for damaged blades. Therefore, research on in-situ …
and the disposal method selection for damaged blades. Therefore, research on in-situ …
Weakly supervised phase unwrapping for single-camera fringe projection profilometry
X Gao, W Song - Optics Communications, 2024 - Elsevier
Phase unwrapping is essential in fringe projection profilometry (FPP). FPP's primary focus is
to simultaneously realize high-speed, high-precision three-dimensional (3D) reconstruction …
to simultaneously realize high-speed, high-precision three-dimensional (3D) reconstruction …
An FPGA-Based Energy-Efficient Real-Time Hand Pose Estimation System With an Integrated Image Signal Processor for Indirect 3D Time-of-Flight Sensors
As artificial intelligence (AI) technology advances, Internet of Things (IoT) devices such as
mobile phones and augmented reality devices are increasingly becoming crucial enablers …
mobile phones and augmented reality devices are increasingly becoming crucial enablers …
A 256× 256 LiDAR Imaging System Based on a 200 mW SPAD-Based SoC with Microlens Array and Lightweight RGB-Guided Depth Completion Neural Network
J Wang, J Li, Y Wu, H Yu, L Cui, M Sun, PY Chiang - Sensors, 2023 - mdpi.com
Light detection and ranging (LiDAR) technology, a cutting-edge advancement in mobile
applications, presents a myriad of compelling use cases, including enhancing low-light …
applications, presents a myriad of compelling use cases, including enhancing low-light …