Progress in LiDAR Technologies and Applications
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Optical Sensors".
Deadline for manuscript submissions: 25 October 2025 | Viewed by 231
Special Issue Editors
2. Beamagine S.L., C/Bellesguard 16, E08755 Castellbisbal, Barcelona, Spain
Interests: TOF lidar; FMCW lidar; point cloud processing; industrial applications of lidar
Special Issues, Collections and Topics in MDPI journals
Interests: lidar modelling; scattering media; polarization
Special Issue Information
Dear Colleagues,
Lidar sensors are currently expending their capabilities at a very fast pace, partly due to technological advances in components and systems, to new measurement methodologies, and to the implementation of computer vision techniques to generalize point cloud processing, including data fusion and novel deep learning networks.
Within this Special Issue, we intend to provide an up-to-date, broad view of the different applications and methods currently expanding the capabilities of lidar sensing in the real world. From innovative applications where lidar was formerly not commonplace (e.g. construction, railway, autonomous vehicles) to improved processing techniques based in AI or data fusion, we intend to implement a picture of the expansion of lidar technologies to different real-world realms and the methods that allow it.
Novel hardware and software approaches enabling applied use cases for lidar are particularly encouraged, both for direct Time-of-Flight (TOF) lidar, amplitude modulated-cameras (AMCW), and frequency-modulated (FMCW) lidar sensors. As an example, topics expected may include point cloud processing strategies including neural networks or deep learning, construction and operation of digital twins based on lidar and data fusion, or radiometric models pushing the state of the art of lidar techniques (e.g. in bad weather or scattering media, underwater, etc.). In all cases, however, they should provide realistic progress beyond the state of the art regarding the implementation of lidar technologies in real-world applications within different industries.
Dr. Santiago Royo
Dr. Maria Ballesta-Garcia
Dr. Pablo García-Gómez
Guest Editors
Manuscript Submission Information
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Keywords
- lidar
- TOF lidar
- FMCW lidar
- AMCW lidar
- data fusion
- point cloud processing
- 3D computer vision
- scattering media
- modelling
- autonomous vehicles
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