Special Issue "Terrestrial Laser Scanning"
Deadline for manuscript submissions: 30 April 2019
Prof. Dr. Joan R. Rosell Polo
Research Group in AgroICT & Precision Agriculture, Department of Agricultural and Forest Engineering, University of Lleida-Agrotecnio Centre, Lleida, Spain
Website | E-Mail
Phone: +34 973 702861
Interests: precision agriculture; remote sensing in agriculture; robotics and automation; sensors; energy
Since their availability a few decades ago, the applications of LiDAR sensors in 3D scanning have been growing steadily and have been extended to an increasing number of human activity areas and research fields. Specifically, an important effort has been devoted to the characterization of terrestrial targets, both through LiDAR sensors carried by aircrafts and spacecrafts or by terrestrial vehicles. The decrease in size and cost of many LiDAR sensors has led to their popularization among researchers and specialized companies. Simultaneously, the emerging of autonomous vehicles research and development by many car making companies has driven even more the search for more advanced, miniaturized and cheaper LiDAR systems.
The aim of this Special Issue is to bring together innovative developments and applications of Terrestrial Laser Scanning, TLS, understood in a broad sense, i.e. involving the use of Laser-based systems (such as 3D and 2D LiDAR, Flash LiDAR and RGB-D/Depth cameras, etc.) for the measurement and characterization of terrestrial targets. Laser-based systems can be either statically placed on the ground or in motion after being mounted on a moving terrestrial vehicle (mobile terrestrial laser scanners, MTLS). Papers addressing new insights in the development, application and benefits of TLS methods and technology are welcome. Articles may include, but are not limited to, the following topics:
- New developments of LiDAR and RGB-D sensors and TLS Systems
- Integration of TLS with other sensors (sensor fusion)
- Applications of multiple-returns TLS
- Mobile terrestrial Laser scanner applications (i.e., man-carried and ground-based vehicle-carried)
- TLS data processing
- Point cloud creation and processing
- New applications of LiDAR for the characterization of terrestrial targets
- Uses and applications from autonomous/unmanned vehicles
- Agriculture, forestry and geosciences applications
- Architecture and industrial applications
- Cultural heritage and archaeological applications
Prof. Dr. Joan R. Rosell Polo
Dr. Eduard Gregorio López
Dr. Jordi Llorens Calveras
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 papers will be 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 1800 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.
- Laser Scanning
- 3D modelling
- Point cloud
- Multiple-returns TLS
- RGB-D sensors
- SLAM methods
- Data processing
- Mobile terrestrial laser scanners