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 theelements, such as floors, walls, ceilings, doors, windows, stairs, lamps, switches, air outlets, that are involved in building managementand 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 smartphoneindoor positioning methods.
|Titolo:||Progress on isprs benchmark on multisensory indoor mapping and positioning|
|Data di pubblicazione:||2019|
|Digital Object Identifier (DOI):||10.5194/isprs-archives-XLII-2-W13-1709-2019|
|Appare nelle tipologie:||1.1 Articolo in rivista|