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Advances in Optical Sensing, Instrumentation and Systems: 2nd Edition

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Special Issue Information

Dear Colleagues,

The goal of this Special Issue is to introduce recent advances in optical sensing, instrumentation, and systems. This involves medical imaging, virtual reality, 3D reconstruction, automatic driving devices, optical system optimization, internet of things, security facilities, navigation systems, computer vision devices, optical materials, optical battery, and so on.

In this Special Issue entitled “Advances in Optical Sensing, Instrumentation and Systems: 2nd Edition”, we aim to publish papers with theoretical and practical novelties in optical sensing, instrumentation, and systems involving medical imaging, computer vision, machine learning, nature-inspired optimization, 3D reconstruction, and any other possible applications.

Topics of interest include, but are not limited to, the following:

Optical coherence tomography in biometrics and diagnosis;
The implementation of deep learning in optical systems;
The optimization of optical systems using nature-inspired optimization methods;
3D reconstruction of uncalibrated visual system in arbitrary scene;
Image and signal processing in optical sensing, instrumentation, and systems;
Advance laser technology;
Optical networks;
Optical communication;
Optical sensors;
Optical materials;
Optical devices;
Photoelectric sensing;
Optical navigation;
Nano-optics technology;
Optical sensing and diagnosis;
Endoscopic microscopy;
Optical imaging;
Visual sensing;
Computer vision;
Optical measurement;
AI applications in optical sensing;
Spectrum detection and analysis;
Fiber sensors;
Surface plasmon resonance technology.

Dr. Xin Zhu
Prof. Dr. Zhenhe Ma
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Related Special Issue

Published Papers (1 paper)

Research

14 pages, 4294 KiB

Open AccessArticle

Pointing Error Correction for Vehicle-Mounted Single-Photon Ranging Theodolite Using a Piecewise Linear Regression Model

by Qingjia Gao, Chong Wang, Xiaoming Wang, Zhenyu Liu, Yanjun Liu, Qianglong Wang and Wenda Niu

Sensors 2024, 24(10), 3192; https://doi.org/10.3390/s24103192 - 17 May 2024

Viewed by 243

Abstract

Pointing error is a critical performance metric for vehicle-mounted single-photon ranging theodolites (VSRTs). Achieving high-precision pointing through processing and adjustment can incur significant costs. In this study, we propose a cost-effective digital correction method based on a piecewise linear regression model to mitigate this issue. Firstly, we introduce the structure of a VSRT and conduct a comprehensive analysis of the factors influencing its pointing error. Subsequently, we develop a physically meaningful piecewise linear regression model that is both physically meaningful and capable of accurately estimating the pointing error. We then calculate and evaluate the regression equation to ensure its effectiveness. Finally, we successfully apply the proposed method to correct the pointing error. The efficacy of our approach has been substantiated through dynamic accuracy testing of a 450 mm optical aperture VSRT. The findings illustrate that our regression model diminishes the root mean square (RMS) value of VSRT’s pointing error from 17″ to below 5″. Following correction utilizing this regression model, the pointing error of VSRT can be notably enhanced to the arc-second precision level. Full article

(This article belongs to the Special Issue Advances in Optical Sensing, Instrumentation and Systems: 2nd Edition)

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