Title :
Demonstrating CrowdInside: A system for the automatic construction of indoor floor-plans
Author :
Alzantot, Moustafa ; Youssef, Moustafa
Author_Institution :
Wireless Res. Center, Egypt-Japan Univ. of Sc. & Tech. (EJUST), Alexandria, Egypt
Abstract :
The existence of a worldwide indoor floor-plans database can lead to significant growth in pervasive computing, especially for indoor environments. In this demonstration, we show CrowdInside: a crowdsourcing-based system for the automatic construction of buildings floor-plans. CrowdInside leverages the smart phones sensors that are ubiquitously available with humans who use a building to automatically and transparently construct accurate motion traces. CrowdInside processes the collected motion traces from different visitors of a building to detect its overall floor-plan shape as well as higher level semantics such as number of rooms, their shapes and locations, and corridors shapes along with a variety of points of interest in the environment. The goal of this demo is to show how the accurate motion traces are constructed as well as how the building floor-plan can be automatically generated.
Keywords :
architectural CAD; architecture; buildings (structures); shape recognition; smart phones; structural engineering computing; ubiquitous computing; CrowdInside; automatic building floor-plan construction; crowdsourcing-based system; floor-plan shape detection; higher level semantics; indoor environment; motion trace; pervasive computing; smart phone sensor; worldwide indoor floor-plan database; Buildings; Intelligent sensors; Motion segmentation; Shape; Smart phones; Automatic floor-plans construction; crowdsourcing; mobile computing;
Conference_Titel :
Pervasive Computing and Communications Workshops (PERCOM Workshops), 2013 IEEE International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4673-5075-4
Electronic_ISBN :
978-1-4673-5076-1
DOI :
10.1109/PerComW.2013.6529506