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Special Issue "Advances in Mobile Mapping Technologies"
Deadline for manuscript submissions: 31 October 2020.
Interests: mobile mapping; perception; LIDAR; 3D point clouds; indoor; multi-sensor systems; edge computing; autonomous navigation and positioning; computational science
Interests: 3D robot vision (3D Point Cloud Processing); Robotics and automation; telematics/geomatics; sensing and perception; semantics, machine vision; cognition; artificial intelligence
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Mobile mapping is applied widely in society for example, in asset management, fleet management, construction planning, road safety, and maintenance optimization. Yet, further advances in these technologies are called for. Advances can be radical, such as changes to the prevailing paradigms in mobile mapping, or incremental, such as the state-of-the-art mobile mapping methods.
With current multi-sensor systems in mobile mapping, laser-scanned data are often registered into point clouds with the aid of global navigation satellite system (GNSS) positioning or simultaneous localization and mapping (SLAM) techniques and then labeled and colored with the aid of machine learning methods and digital camera data. These multi-sensor platforms are beginning to see further advances via the addition of multi-spectral and other sensors and via the development of machine learning techniques used in processing this multi-modal data.
Embedded systems and minimalistic system designs are also attracting attention, from both academic and commercial perspectives. These systems typically aim for radical novel innovations or for specific applications. For example, single-photon technologies have great potential in the miniaturization of mobile laser scanning (MLS) systems.
We would like to invite you to contribute to this Special Issue of Remote Sensing by submitting original manuscripts, experimental work, and/or reviews in the field of Advances in Mobile Mapping Technologies. Open data, open source, and open hardware contributions are especially welcomed. Contributions may be from, but not limited to, the following topics:
- Novel multi-sensor fusion techniques
- System design and development
- Multispectral implementations and advances
- Robust calibration techniques
- New open data sets
- Improvements in positioning, including seamless indoor-outdoor 3D mapping
- Low-cost solutions
- Novel application cases in different challenging environments, e.g., indoor, urban, forest, underground, maritime, and underwater
- Solutions that generalize for different environments
- Simultaneous localization and mapping
- Point cloud processing
- Machine learning
- Deep learning
- Accuracy, precision, and quality assessment
- Autonomous navigation
- Post-disaster assessment
Prof. Dr. Ville Lehtola
Prof. Dr. Andreas Nüchter
Prof. Dr. François Goulette
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. Remote Sensing 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 2000 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.
- Mobile mapping
- Laser scanning
- Machine learning
- Autonomous navigation
- Point cloud
- Indoor 3D