Close-Range Sensing in the AEC Industry
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Urban Remote Sensing".
Deadline for manuscript submissions: closed (15 April 2024) | Viewed by 1259
Special Issue Editors
Interests: building information modeling (BIM); 3D reconstruction; point cloud; laser scanning; photogrammetry; machine learning; construction monitoring
Special Issues, Collections and Topics in MDPI journals
Interests: point clouds; laser scanning; 3D modeling
Special Issues, Collections and Topics in MDPI journals
Interests: spatial analysis; mapping; geoinformation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The digital reconstruction of built assets, i.e., buildings, infrastructure, and utilities, is being extensively researched. The resulting information models such as GIS, BIM, or CAD are becoming increasingly important for facility management, project planning, and refurbishment. However, the current state of the art is not yet able to capture and process the required geometries and texture in a reliable unsupervised manner.
Typically, close-range sensing such as laser scanning and photogrammetry are used to digitize the assets in the built environment. This requires the unsupervised interpretation of the scenery and the automated parameter extraction for the widely varying domain-specific objects, i.e., heritage, structure, MEP, and architecture finishes. In the last few years, there has been intense research activity towards the automation of this process. However, there is still important work to be carried out involving (i) the collection and processing of close-range sensing data of the built environment, (ii) scene interpretation including semantic segmentation and object detection, and (iii) parameter extraction for the final information models.
This Special Issue will collect new technologies and methodologies that target the above objectives. We welcome submissions that cover but are not limited to the following:
- Close-range sensing systems;
- Geometric evaluation of mapping systems;
- Close-range sensing data structures and models;
- Scene interpretation including semantic segmentation, classification, and object detection;
- Collision and change detection with existing models;
- Remote sensing data processing in information models such as BIM and GIS.
Dr. Maarten Bassier
Dr. Florent Poux
Dr. Shayan Nikoohemat
Guest Editors
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 submissions that pass pre-check are 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 2700 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.
Keywords
- close-range sensing
- 3D reconstruction
- classification
- semantic segmentation
- photogrammetry
- BIM
- GIS
