PROGRESS ON ISPRS BENCHMARK ON MULTISENSORY INDOOR MAPPING AND POSITIONING

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

Wen, C.^1¹  Wang, C.^1²  Retscher, G.^3³  El-Sheimy, N.^2⁴  Dai, Y.^1⁵ 

[1] China University of Geosciences, Beijing, China^4;Fujian Key Laboratory of Sensing and Computing, School of Informatics, Xiamen University, 422 Siming Road South, Xiamen 361005, China^1;Polytechnic University of Turin, Italy^5;TU Wien - Vienna University of Technology, Austria^3;University of Calgary, Canada^2

关键词: Multi-sensor;    Indoor;    Mapping;    Positioning;    Benchmark Dataset;    Design;   

DOI  :  10.5194/isprs-archives-XLII-2-W13-1709-2019

学科分类：地球科学(综合)

来源: Copernicus Publications

【 摘 要 】

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.

【 授权许可】

CC BY