The Application of Lidars in Positioning Systems

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Optoelectronics".

Deadline for manuscript submissions: 15 October 2025 | Viewed by 504

Special Issue Editors


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Guest Editor
Institute of Microelectronics, Chinese Academy of Sciences, Beijing 100029, China
Interests: LiDAR; optoelectronic integration; measurement method; real-time processing; system on chip

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Guest Editor
Department of Computer Science, School of Informatics, Xiamen University, Xiamen 361005, China
Interests: 3D vision; LiDAR; mobile mapping; geospatial big data analysis
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Special Issue Information

Dear Colleagues,

The utilization of LiDAR (Light Detection and Ranging) technology in positioning systems has become increasingly significant due to its high precision and reliability in various applications. This technology is revolutionizing fields such as autonomous driving, robotics, and industrial automation by providing accurate distance measurements and detailed 3D mapping capabilities. LiDAR enables systems to perceive their environment with remarkable accuracy, facilitating advanced navigation, obstacle detection, and spatial awareness. Consequently, it is becoming a cornerstone in the development of next-generation positioning systems, making it a crucial area of research and development.

This Special Issue aims to highlight the advancements, challenges, and future directions of LiDAR applications in positioning systems. The focus is on both theoretical developments and practical implementations that demonstrate how LiDAR can be integrated into various systems to improve their performance and reliability. We seek innovations that explore the current state of the art in LiDAR technology, address technical challenges, and propose novel solutions for future improvements, fostering collaboration and innovation in the field.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but not limited to) the following:

  • Autonomous driving;
  • Robotics;
  • Perimeter security;
  • Target detection;
  • Precision measurement;
  • Deformation measurement;
  • Rendezvous and docking;
  • Automated forklifts;
  • Power inspection;
  • Vehicle-to-everything (V2X) communication.

We look forward to receiving insightful contributions.

Dr. Jingguo Zhu
Prof. Dr. Cheng Wang
Guest Editors

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Keywords

  • LiDAR
  • optoelectronic integration
  • measurement method
  • real-time processing
  • system on chip
  • 3D vision
  • mobile mapping

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Published Papers (1 paper)

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Research

21 pages, 13497 KiB  
Article
Hyperspectral LiDAR for Subsea Exploration: System Design and Performance Evaluation
by Huijing Zhang, Linsheng Chen, Haohao Wu, Mei Zhou, Jiuying Chen, Zhichao Chen, Jian Hu, Yuwei Chen, Jinhu Wang, Yifang Niu, Meisong Liao, Xiaoxing Wang, Wanqiu Xu, Tianxing Wang and Shizi Yu
Electronics 2025, 14(8), 1539; https://doi.org/10.3390/electronics14081539 - 10 Apr 2025
Viewed by 222
Abstract
Hyperspectral LiDAR (HSL) is a promising active detection technique for underwater positioning and remote sensing, enabling the simultaneous acquisition of three-dimensional topographic and spectral information of underwater targets. This study presents an advanced underwater hyperspectral LiDAR (UDHSL) system with a spectral range of [...] Read more.
Hyperspectral LiDAR (HSL) is a promising active detection technique for underwater positioning and remote sensing, enabling the simultaneous acquisition of three-dimensional topographic and spectral information of underwater targets. This study presents an advanced underwater hyperspectral LiDAR (UDHSL) system with a spectral range of 450–700 nm, adjustable spectral bandwidth of 10–300 nm, and tunable repetition frequency of 50 kHz to 1 MHz. The system achieves high precision with a laser divergence angle of ≤1 mrad, pulse width of 7 ns, laser energy of 7.5 µJ, ranging resolution of 1.13 cm and ranging accuracy of 1.02 m@distance of 27 m. Hyperspectral point clouds spanning 11 bands (450–650 nm) are generated during 3D pool experiments. The distance-colored point clouds precisely align with the geometric characteristics of targets, the normalized intensity-colored point clouds across spectral bands exhibit discriminative capabilities for target identification, and the color-composite point clouds approximate the true colors of targets, collectively validating the system’s ability to concurrently acquire spectral and topographic data. These results underscore the potential of this technology for underwater exploration and positioning applications. Full article
(This article belongs to the Special Issue The Application of Lidars in Positioning Systems)
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