ezNavi: An Easy-to-operate Indoor Navigation System Based on Pedestrian Dead Reckoning and Crowdsourced User Trajectories
學年 108
學期 1
出版（發表）日期 2019-10-11
作品名稱 ezNavi: An Easy-to-operate Indoor Navigation System Based on Pedestrian Dead Reckoning and Crowdsourced User Trajectories
作品名稱（其他語言）
著者 Meng-Shiuan Pan; Kuan-Ying Li
單位
出版者
著錄名稱、卷期、頁數 IEEE Transactions on Mobile Computing
摘要 Recently, researchers have paid attention to designing indoor navigation services for smartphone users. Conventional indoor navigation systems highly rely on well-known indoor information and prior training phase for localization, and thus it is time- and labor-consuming to bootstrap indoor navigation services. Without too much prior configurations, the proposed indoor navigation system, called ezNavi, utilizes trajectory information (reported by users) to generate indoor pathway and point of interests (POIs). The proposed system consists of a front-end mobile application (APP) and a back-end server. The mobile APP infers users' walking trajectories according to sensory values from smartphones. The back-end server processes crowdsourced trajectories with the help of deployed Bluetooth low energy beacon devices, and then produces pathways of the indoor environment. After obtaining more trajectories, the ezNavi can further refine the derived pathways to provide more efficient guidance services for users. Our experiment and prototyping results reveal that the ezNavi can effectively derive users' walking trajectories, produces indoor pathways, and indicates directions for users.
關鍵字 Trajectory;Legged locomotion;Indoor navigation;Wireless fidelity;Servers;Indoor environment
語言 en_US
ISSN 1558-0660
期刊性質 國外
收錄於 SCI
產學合作
通訊作者 M.-S. Pan
審稿制度 否
國別 USA
公開徵稿
出版型式 ,電子版
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/118108 )