Jigsaw

Ruipeng Gao, Mingmin Zhao, Tao Ye, Fan Ye, Yizhou Wang, Kaigui Bian, Tao Wang, Xiaoming Li
2014 Proceedings of the 20th annual international conference on Mobile computing and networking - MobiCom '14  
The lack of floor plans is a critical reason behind the current sporadic availability of indoor localization service. Service providers have to go through effort-intensive and timeconsuming business negotiations with building operators, or hire dedicated personnel to gather such data. In this paper, we propose Jigsaw, a floor plan reconstruction system that leverages crowdsensed data from mobile users. It extracts the position, size and orientation information of individual landmark objects
more » ... andmark objects from images taken by users. It also obtains the spatial relation between adjacent landmark objects from inertial sensor data, then computes the coordinates and orientations of these objects on an initial floor plan. By combining user mobility traces and locations where images are taken, it produces complete floor plans with hallway connectivity, room sizes and shapes. Our experiments on 3 stories of 2 large shopping malls show that the 90-percentile errors of positions and orientations of landmark objects are about 1 ∼ 2m and 5 ∼ 9 • , while the hallway connectivity is 100% correct.
doi:10.1145/2639108.2639134 dblp:conf/mobicom/GaoZYYWBWL14 fatcat:fmsd2aydwje2vnekwfsyi3rzzm