Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

[Establish a Zebrafish Atherosclerosis Model Screening Platform to Evaluate the Therapeutic Effects of Qi-Regulating and Blood-Activating Prescriptions on Atherosclerosis].

Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition·2026

Same author

The landscape of mitochondrial transfer RNA post-transcriptional modifications reveals GTPBP3-responsive mo<sup>5</sup>U in acute ischemic stroke.

Bioorganic chemistry·2026

Same author

Dual-Circle: a new way of assessing Temporomandibular joint (TMJ) disc position at coronal MRI.

Dento maxillo facial radiology·2026

Same author

The hawthorn (<i>Crataegus pinnatifida</i>) procyanidin extract attenuates nonalcoholic fatty liver disease in mice <i>via</i> remodeling the bile acid profile driven by gut microbiota and regulating the FXR pathway.

Food & function·2026

Same author

Rationality assessment of postoperative disc-condyle position following TMJ arthroscopic disc repositioning operation: a retrospective MRI study.

BMC oral health·2026

Same author

Early Anterior Cruciate Ligament Reconstruction Reduces Long-Term Rates of Secondary Meniscus Surgery: A Systematic Review.

Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association·2026

Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026

Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026

Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026

Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026

Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026

Same journal

Three-Dimensional Modeling and Performance Analysis of Dynamic mmWave V2I Networks Based on Stochastic Geometry.

Sensors (Basel, Switzerland)·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 13, 2026

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar

Published on: May 1, 2018

Depth Imaging Through Smoke Using Nonparametric Estimation for Array Gm-APD LiDAR.

Yinbo Zhang^1,2, Qingyu Hou², Haoyan Wang¹

¹National Key Laboratory of Laser Spatial Information, Institute of Opto-Electronic, Harbin Institute of Technology, Harbin 150001, China.

Sensors (Basel, Switzerland)

|June 12, 2026

Summary

This summary is machine-generated.

This study introduces a new algorithm for array Geiger-mode avalanche photodiode (Gm-APD) LiDAR systems to rapidly detect smoke. The method accurately identifies smoke occlusion, improving depth imaging in challenging environments.

Keywords:

Pearson correlation array Gm-APD LiDAR depth imaging dynamic smoke occlusion non-parametric estimation

More Related Videos

Determining 3D Flow Fields via Multi-camera Light Field Imaging

Determining 3D Flow Fields via Multi-camera Light Field Imaging

Published on: March 6, 2013

High-Speed Ultraviolet Photoacoustic Microscopy for Histological Imaging with Virtual-Staining assisted by Deep Learning

High-Speed Ultraviolet Photoacoustic Microscopy for Histological Imaging with Virtual-Staining assisted by Deep Learning

Published on: April 28, 2022

Related Experiment Videos

Last Updated: Jun 13, 2026

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar

Published on: May 1, 2018

Determining 3D Flow Fields via Multi-camera Light Field Imaging

Determining 3D Flow Fields via Multi-camera Light Field Imaging

Published on: March 6, 2013

High-Speed Ultraviolet Photoacoustic Microscopy for Histological Imaging with Virtual-Staining assisted by Deep Learning

High-Speed Ultraviolet Photoacoustic Microscopy for Histological Imaging with Virtual-Staining assisted by Deep Learning

Published on: April 28, 2022

Area of Science:

Photonics and Optical Engineering
Remote Sensing Technology
Computer Vision

Background:

Array Gm-APD LiDAR systems are susceptible to performance degradation from dynamic smoke backscattering.
Conventional depth imaging struggles to identify smoke occlusion, compromising reconstructed depth image quality.

Purpose of the Study:

To develop a non-parametric algorithm for rapid smoke detection and depth imaging in array Gm-APD LiDAR.
To enhance target recovery and depth image quality in smoke-obscured environments.

Main Methods:

A non-parametric approach calculating the Pearson correlation coefficient between echo signals and instrument response function.
Real-time smoke interference identification, fast denoising, and depth image reconstruction.

Main Results:

Achieved 100% accuracy in occlusion discrimination in dynamic smoke (average attenuation length ≤ 5.1) using 250 frames.
Improved target recovery by 86.8% (0.71 vs. conventional) under 96% smoke occlusion (average attenuation length 2.29).

Conclusions:

The proposed algorithm offers significant practical value for array Gm-APD LiDAR.
Enables high-speed depth imaging in harsh atmospheric conditions with severe obscuration.