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Applied Sciences
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Optical Sensors: Applications, Performance and Challenges
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Optical Sensors: Applications, Performance and Challenges

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Optics and Lasers".

Deadline for manuscript submissions: 20 September 2024 | Viewed by 1267

Special Issue Editors

Dr. Yubing Wang

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Guest Editor
State Key Laboratory of Luminescence and Applications, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China
Interests: sensors; optics; lidar; semiconductor laser
Prof. Dr. Lijun Wang

E-Mail Website
Guest Editor
State Key Laboratory of Luminescence and Applications, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China
Interests: sensors; optics; semiconductor laser
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Junfeng Song

E-Mail Website
Guest Editor
College of Electronic Science and Engineering, Jilin University, Changchun 130033, China
Interests: photonics; optics and photonics; optics and lasers; optoelectronics; nonlinear optics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In this era of rapid technological innovation, optical sensors with a spectral range spanning deep ultraviolet to THz stand as a beacon of innovation. These devices, by harnessing the properties of light, provide us with profound insights that enable us to understand the world around us. Their intrinsic properties of high sensitivity, rapid response, and non-invasion position them at the heart of future advancements. With the development of material science, nanotechnology and artificial intelligence, optical sensor technologies have broadened their applications to autonomous vehicles, laser communications, Internet of Things, environmental monitoring, and life sciences. However, challenges associated with the ever-increasing demands for sensitivity, miniaturization, energy efficiency, and cost effectiveness remain.

For this Special Issue, we invite you to submit cutting-edge results related to “Optical Sensors: Applications, Performance and Challenges”. Experimental research and comprehensive review papers are welcome.

Dr. Yubing Wang
Prof. Dr. Lijun Wang
Prof. Dr. Junfeng Song
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. Applied Sciences 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 2400 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.

Keywords

  • sensors
  • optics, photonics
  • sensitivity
  • miniaturization
  • energy efficiency

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Published Papers (2 papers)

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Research

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20 pages, 6719 KiB  
Article
Tracking Method of GM-APD LiDAR Based on Adaptive Fusion of Intensity Image and Point Cloud
by Bo Xiao, Yuchao Wang, Tingsheng Huang, Xuelian Liu, Da Xie, Xulang Zhou, Zhanwen Liu and Chunyang Wang
Appl. Sci. 2024, 14(17), 7884; https://doi.org/10.3390/app14177884 - 5 Sep 2024
Viewed by 419
Abstract
The target is often obstructed by obstacles with the dynamic tracking scene, leading to a loss of target information and a decrease in tracking accuracy or even complete failure. To address these challenges, we leverage the capabilities of Geiger-mode Avalanche Photodiode (GM-APD) LiDAR [...] Read more.
The target is often obstructed by obstacles with the dynamic tracking scene, leading to a loss of target information and a decrease in tracking accuracy or even complete failure. To address these challenges, we leverage the capabilities of Geiger-mode Avalanche Photodiode (GM-APD) LiDAR to acquire both intensity images and point cloud data for researching a target tracking method that combines the fusion of intensity images and point cloud data. Building upon Kernelized correlation filtering (KCF), we introduce Fourier descriptors based on intensity images to enhance the representational capacity of target features, thereby achieving precise target tracking using intensity images. Additionally, an adaptive factor is designed based on peak sidelobe ratio and intrinsic shape signature to accurately detect occlusions. Finally, by fusing the tracking results from Kalman filter and KCF with adaptive factors following occlusion detection, we obtain location information for the central point of the target. The proposed method is validated through simulations using the KITTI tracking dataset, yielding an average position error of 0.1182m for the central point of the target. Moreover, our approach achieves an average tracking accuracy that is 21.67% higher than that obtained by Kalman filtering algorithm and 7.94% higher than extended Kalman filtering algorithm on average. Full article
(This article belongs to the Special Issue Optical Sensors: Applications, Performance and Challenges)
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Review

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37 pages, 9606 KiB  
Review
Advancements in Key Parameters of Frequency-Modulated Continuous-Wave Light Detection and Ranging: A Research Review
by Zibo Wu, Yue Song, Jishun Liu, Yongyi Chen, Hongbo Sha, Mengjie Shi, Hao Zhang, Li Qin, Lei Liang, Peng Jia, Cheng Qiu, Yuxin Lei, Yubing Wang, Yongqiang Ning, Jinlong Zhang and Lijun Wang
Appl. Sci. 2024, 14(17), 7810; https://doi.org/10.3390/app14177810 - 3 Sep 2024
Viewed by 558
Abstract
As LiDAR technology progressively advances, the capability of radar in detecting targets has become increasingly vital across diverse domains, including industrial, military, and automotive sectors. Frequency-modulated continuous-wave (FMCW) LiDAR in particular has garnered substantial interest due to its efficient direct velocity measurement and [...] Read more.
As LiDAR technology progressively advances, the capability of radar in detecting targets has become increasingly vital across diverse domains, including industrial, military, and automotive sectors. Frequency-modulated continuous-wave (FMCW) LiDAR in particular has garnered substantial interest due to its efficient direct velocity measurement and excellent anti-interference characteristics. It is widely recognized for its significant potential within radar technology. This study begins by elucidating the operational mechanism of FMCW LiDAR and delves into its basic principles. It discuss, in depth, the influence of various parameters on FMCW LiDAR’s performance and reviews the latest progress in the field. This paper proposes that future studies should focus on the synergistic optimization of key parameters to promote the miniaturization, weight reduction, cost-effectiveness, and longevity of FMCW LiDAR systems. This approach aims at the comprehensive development of FMCW LiDAR, striving for significant improvements in system performance. By optimizing these key parameters, the goal is to promote FMCW LiDAR technology, ensuring more reliable and accurate applications in automated driving and environmental sensing. Full article
(This article belongs to the Special Issue Optical Sensors: Applications, Performance and Challenges)
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