Talks and Poster Presentations (with Proceedings-Entry):
C. Wang, Y. Dai, N. El-Sheimy, C. Wen, G. Retscher, Z. Kang, A. Lingua:
"Progress on ISPRS Benchmark on Multisensory Indoor Mapping and Positioning";
Talk: ISPRS Geospatial Week 2019,
Enschede, The Netherlands (invited);
- 2019-06-14; in: "ISPRS Geospatial Week 2019",
ISPRS Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences,
Paper ID 370,
This paper presents the design of the benchmark dataset on multisensory indoor mapping and position (MIMAP) which is sponsored by ISPRS scientific initiatives. The benchmark dataset including point clouds captured by indoor mobile laser scanning system (IMLS) in indoor environments of various complexity. The benchmark aims to stimulate and promote research in the following three fields: (1) SLAM-based indoor point cloud generation; (2) automated BIM feature extraction from point clouds, with an emphasis on the elements, such as floors, walls, ceilings, doors, windows, stairs, lamps, switches, air outlets, that are involved in building management and navigation tasks ; and (3) low-cost multisensory indoor positioning, focusing on the smartphone platform solution. MIMAP provides a common framework for the evaluation and comparison of LiDAR-based SLAM, BIM feature extraction, and smartphone indoor positioning methods.
Multi-sensor, Indoor, Mapping, Positioning, Benchmark Dataset, Design
"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
Electronic version of the publication:
Created from the Publication Database of the Vienna University of Technology.