Semantically enriching personal mobility data using OpenStreetMap: a case study using smartphone users' frequently visited places [0.03%]
利用OpenStreetMap丰富个人出行数据的语义——以智能手机用户常去地点为例的一项研究
Jixin Li,Binod Thapa-Chhetry,Aditya Ponnada et al.
Jixin Li et al.
Behavioral scientists use geodatabases to automatically annotate mobile device location data with semantically meaningful point-of-interest (POI) labels. Using volunteered geographic information (VGI), such as OpenStreetMap (OSM) data, to a...
Neuroadaptive LBS: towards human-, context-, and task-adaptive mobile geographic information displays to support spatial learning for pedestrian navigation [0.03%]
神经自适应的定位服务:LBS:支持行人导航空间学习的人体、场景和任务自适应移动地理信息显示
Sara Irina Fabrikant
Sara Irina Fabrikant
Well-designed, neuroadaptive mobile geographic information displays (namGIDs) could improve the lives of millions of mobile citizens of the mostly urban information society who daily need to make time critical and societally relevant decisi...
Robust methods for AOA geo-location in a real-time indoor WiFi system [0.03%]
实时室内WiFi系统中AOA地理定位的鲁棒方法
Lim, Chin-Heng; Ng, Boon Poh; Da et al.
Lim et al.
Tilch, Sebastian; Mautz, Rainer
Tilch
Krumm, John; Gruen, Robert; Delling et al.
Krumm et al.
Ruotsalainen, Laura; Bancroft, Jared; Lachapelle et al.
Ruotsalainen et al.
Optimising mobile phone self-location estimates by introducing beacon characteristics to the algorithm [0.03%]
通过在算法中引入信标特征来优化手机自定位估计
Curran, Kevin; Hubrich, Sebastian
Curran