Special Issue "Concurrent Positioning, Mapping and Perception of Multi-source Data Fusion for Smart Applications"
A special issue of Remote Sensing (ISSN 2072-4292).
Deadline for manuscript submissions: closed (30 April 2019).
Department of Remote Sensing and Photogrammetry, Finnish Geospatial Research Institute, Finland
Interests: ubiquitous positioning; mobile mapping; smartphone navigation; spatial perception; indoor positioning; simultaneous localization and mapping; GNSS positioning
Interests: satellite positioning, data fusion, Beidou/GNSS positioning, robust estimation
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Interests: intelligent and autonomous systems; navigation & positioning technologies; satellite technologies; multi-sensor systems; wireless positioning; vehicles & transportation systems; driverless cars; technology development; applications
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The next generations of smart applications require the capability of understanding surrounding environments for intelligent and autonomous objects moving across indoor and outdoor spaces. The spaces need be digitalized as 3D maps, and they are used as the fundamental spatial data infrastructure for smart applications. It calls for innovative developments of mobile mapping of indoor and outdoor spaces, as well as ubiquitous positioning and spatial perception technologies, algorithms and applications.
Established techniques conducted particularly either positioning (e.g., GNSS) or mapping (e.g., imagery). Advances in emerging sensors, miniaturized mobile platforms (e.g., robot), artificial intelligence methods (e.g., deep learning), and data fusion algorithms allow us to develop multi-source integrated technologies for positioning, mapping and spatial perception in concurrent approaches, which resolve localization of mobile platforms/objects, and simultaneously mapping and understanding the environment. Such concurrent techniques will enable a variety of mobile intelligent systems and applications
The Special Issue on “Concurrent Positioning, Mapping and Perception of Multi-Source Data Fusion for Smart Applications” accepts papers dealing with the following topics of interest (but is not limited to them):
- Ubiquitous positioning and localization across indoor and outdoor environments
- Mobile mapping and digitalization of indoor and outdoor spaces
- Intelligent spatial perception
- Simultaneous and reciprocal positioning, mapping and perception of indoor/outdoor environments
- Smart mobility systems and applications
Prof. Jingbin Liu
Prof. Yuanxi Yang
Prof. Juha Hyyppa
Prof. Naser El-Sheimy
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 2400 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
- ubiquitous positioning and localization
- artificial intelligence
- computer vision
- spatial perception
- simultaneous localization and mapping