Indoor Floor Map Construction with Video Survey
Tsz Lung Wong, Albert Kai-Sun Wong, Ka Sing Lin, Chin‐Tau Lea · Rare & Special e-Zone (The Hong Kong University of Science and Technology) · 2019
This paper describes a system which uses simple video surveys to automatically construct an indoor floor map for the purpose of supporting indoor people localization, tracking, and navigation applications. We show that this video-based system, using the concept of spatial segmentation through similarity matching followed by graph construction as developed in the WiFi RSS-based Intelligent Mobility Mapping System (IMMS) presented in an earlier work, is capable of constructing an indoor floor map based on simple video survey sequences alone. We show also that when used together with WiFI RSS, the video-based system can easily identify and label points-of-interest such as rooms along corridors, enriching the information content in the indoor map.