With the fast development of the mobile Internet, data and multimedia services are expanding rapidly, and the demand of Location Based Services (LBSs) is also increasing day by day. While the Global Positioning System (GPS) provides an ubiquitous means for determining the location of mobile terminals in the outdoor environment, it generally does not work indoor. This thesis describes a Video-Assisted Automatic Indoor-map Construction System (VAAICS) which uses simple video surveys labeled with WiFi-RSS data to automatically construct an indoor floor map for the purpose of supporting indoor localization of people, tracking, and navigation applications. We show that this video-based system, using the concept of spatial segmentation through similarity matching followed by graph constructio...[ Read more ]

With the fast development of the mobile Internet, data and multimedia services are expanding rapidly, and the demand of Location Based Services (LBSs) is also increasing day by day. While the Global Positioning System (GPS) provides an ubiquitous means for determining the location of mobile terminals in the outdoor environment, it generally does not work indoor. This thesis describes a Video-Assisted Automatic Indoor-map Construction System (VAAICS) which uses simple video surveys labeled with WiFi-RSS data to automatically construct an indoor floor map for the purpose of supporting indoor localization of people, 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 automatically constructing an indoor floor map based on simple video survey sequences. 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, to enrich the information content on the indoor map.