Special Issue "Mobile Laser Scanning Systems"
Deadline for manuscript submissions: closed (31 July 2019).
Prof. Dr. Jonathan Li
Department of Geography and Environmental Management and the Department of Systems Design Engineering (cross-appointed), University of Waterloo, 200 University Avenue West, Waterloo, Ontario N2L 3G1, Canada
Website 1 | Website 2 | E-Mail
Interests: mobile laser scanners; multispectral LiDAR; LiDAR data processing; LiDAR backpack; LiDAR modeling; indoor mapping
Prof. Dr. Ayman F. Habib
Purdue University, Lyles School of Civil Engineering, 550 Stadium Mall Drive, HAMP 4108, West Lafayette, IN 47907, USA
Website | E-Mail
Interests: Photogrammetry, Laser scanning, Mobile Mapping Systems, System Calibration, Computer Vision, Unmanned Aerial Mapping Systems, and Multi-Sensor/Multi-platform data integration
Three-dimensional data is a fundamental and essential part of a growing number of applications ranging from urban planning, cultural heritage documentation, intelligent transportation systems, autonomous driving, smart cities, to indoor/outdoor disaster simulation. Mobile laser scanning systems (including airborne, vehicle-borne, handheld and backpack systems), which provide geo-referenced high-density 3D point cloud data, have become an alternative powerful data source of 3D geospatial information. This Special Issue not only covers the traditional remaining challenges (multi-sensor calibration, multisource data registration, and 3D point cloud processing) in mobile laser scanning systems, but also focuses on solutions, methods and algorithms for low-cost sensor integration and mobile localization and mapping in GNSS-denied environments.
The aim of this Special Issue is to present the state-of-the-art research and development in mobile laser scanning systems. We would like to invite contributions on the following topics (but it is not limited to them):
- Low-cost mobile laser scanning systems
- Wearble mobile laser scanning systems
- Multi-/hyper-spectral laser scanning systems
- Multi-sensor calibration and data fusion
- Multisource data registration
- Low-cost sensor integration and fusion
- Machine/deep learning approaches to point cloud processing
- Quality evaluation and control of mobile laser scanning data
- 3D object detection and recognition from mobile laser scanning data
- AI-based algorithms for the automated conversion of point clouds into HD maps
- 3D mapping in GNSS-denied environments
- Novel applications of mobile laser scanning systems
Prof. Dr. Jonathan Li
Prof. Dr. Ayman Habib
A/Prof. Chenglu Wen
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.
- Remote sensing
- Laser scanning
- Indoor mobile laser scanning
- Point cloud
- Sensor calibration and data fusion
- Feature extraction
- Road inventory
- 3D modeling
- 3D object detection and recognition