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    • 80. 发明申请
    • METHOD AND SYSTEM FOR CROWD SENSING TO BE USED FOR AUTOMATIC SEMANTIC IDENTIFICATION
    • 用于自动语义识别的波纹感测的方法和系统
    • US20150285639A1
    • 2015-10-08
    • US14636153
    • 2015-03-02
    • Umm-Al-Qura University
    • Anas BasalamahHEBA ALYMoustafa Amin Youssef
    • G01C21/26H04W4/02
    • H04W4/027G01C21/32H04W4/023
    • The Map++ as a system and method that leverages standard cell-phone sensors in a crowdsensing approach to automatically enrich digital maps with different road semantics like tunnels, bumps, bridges, footbridges, crosswalks, road capacity, among others is described. Our analysis shows that cell-phones sensors with humans in vehicles or walking get affected by the different road features, which can be mined to extend the features of both free and commercial mapping services. We present the design and implementation of Map++ and evaluate it in a large city. Our results show that we can detect the different semantics accurately with at most 3% false positive rate and 6% false negative rate for both vehicle and pedestrian-based features. Moreover, we show that Map++ has a small energy footprint on the cell-phones, highlighting its promise as a ubiquitous digital maps enriching service.
    • 描述了将Map ++作为一种系统和方法,利用众所周知的标准手机传感器,自动丰富数字地图,使用不同的道路语义,如隧道,颠簸,桥梁,行人天桥,人行横道,道路容量等。 我们的分析表明,车辆或行走中的人类手机传感器受到不同道路特征的影响,可以开采以扩展免费和商业地图服务的功能。 我们介绍Map ++的设计和实现,并在一个大城市进行评估。 我们的研究结果表明,我们可以准确检测不同的语义,具有3%以上的假阳性率和6%的假阴性率。 此外,我们还表示,Map ++在手机上占用的能量很小,突显出其作为无处不在的数字地图丰富服务的承诺。