I-Corps: iLooc-Commercialization Feasibility Research and Implementation of Indoor Smartphone Localization via Indoor Positioning Satellites and Opportunistic Sensing

I-Corps:iLooc-通过室内定位卫星和机会传感实现室内智能手机定位的商业化可行性研究和实现

基本信息

  • 批准号:
    1506361
  • 负责人:
  • 金额:
    $ 5万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2014
  • 资助国家:
    美国
  • 起止时间:
    2014-12-01 至 2016-06-30
  • 项目状态:
    已结题

项目摘要

A large number of mobile services such as location-based services, maps, and navigation systems have been developed when smartphones were enabled with GPS. However, about 80% of mobile data consumption originates from and indoor environment where GPS will not work. Current location services are mainly for outdoor and severely limited when applied in more pervasive indoor environment. More pervasive fine-grained indoor location techniques could enable new mobile engagement scenarios. For example, it would not be possible to welcome a customer into a store with a personal message and recommendation; offer an in-store deal or deliver a coupon in front of specific cereal boxes; deliver biographies or art commentary on a specific object when wandering through a museum; or remind users of social events within proximity. All these could lead to more context-aware mobile computing and move towards a holistic mobile smart life. The proposed technology will usher in enormous opportunities with transformative impacts in broad domains. Using off-the-shelf smartphones with the proposed technology, various indoor location services such as indoor navigation, near-field advertising, augmented-reality, mobile education/campus/health and entertainment, and shopping/tour guides can be revolutionized.This I-Corps team has developed iLooc, an indoor positioning system that is both convenient and can be deployed at relatively low cost. Current day indoor position systems are too coarse-grained (room-level or multi-meter level) for many indoor mobile applications. Though significant progress has been made over the last decade on indoor localization for smart and mobile phones, cost and convenience are two factors that are still limitations for wide scale adoption of these technologies. The iLooc ecosystem developed by the team consists of a set of indoor positioning satellites, an app on a smartphone (iOS or Android) for opportunistic sensing (with IPS,WiFi, BLE, and GPS), and a cloud server for offloading heavy processing, location services and content management. The algorithm used can localize position to within 5 centimeters. The system relies only on off the shelf smartphones, using no specialized hardware and thereby reducing cost. Similar to outdoor GPS, the system is passively synchronized and doesn't require information back from the smartphone. This type of system is much more convenient and scalable for large number of users. The team has tested the ecosystem in several indoor environments including classrooms, museums, and shopping centers.
当智能电话具有GPS功能时,已经开发了大量的移动的服务,诸如基于位置的服务、地图和导航系统。然而,大约80%的移动的数据消耗源自GPS将不起作用的室内环境。目前的定位服务主要是针对室外的,在更普遍的室内环境中的应用受到严重限制。更普遍的细粒度室内定位技术可以实现新的移动的参与场景。例如,不可能用个人信息和推荐来欢迎顾客进入商店;在特定的谷物盒前提供店内交易或提供优惠券;在博物馆闲逛时提供关于特定对象的传记或艺术评论;或者提醒用户附近的社交活动。所有这些都可能导致更多的上下文感知移动的计算,并走向整体的移动的智能生活。拟议的技术将带来巨大的机会,在广泛的领域产生变革性的影响。使用现有的智能手机与所提出的技术,各种室内定位服务,如室内导航,近场广告,增强现实,移动的教育/校园/健康和娱乐,购物/导游可以彻底改变。这个I-Corps团队开发了iLooc,一个室内定位系统,既方便,可以以相对较低的成本部署。当前的室内定位系统对于许多室内移动的应用来说太粗粒度(房间级或多米级)。尽管在过去十年中,在智能和移动的电话的室内定位方面已经取得了重大进展,但成本和便利性仍然是限制这些技术大规模采用的两个因素。该团队开发的iLooc生态系统包括一组室内定位卫星,智能手机(iOS或Android)上的应用程序,用于机会感知(IPS,WiFi,BLE和GPS),以及用于卸载繁重处理,位置服务和内容管理的云服务器。所使用的算法可以将位置定位到5厘米内。该系统仅依赖于现成的智能手机,不使用专门的硬件,从而降低了成本。与室外GPS类似,该系统是被动同步的,不需要从智能手机返回信息。这种类型的系统对于大量用户来说更加方便和可扩展。该团队已经在几个室内环境中测试了生态系统,包括教室,博物馆和购物中心。

项目成果

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Xiaolin Li其他文献

MagicLink: Weaving Multi-site Wireless Sensor Networks for Large-Scale Experiments
MagicLink:为大规模实验编织多站点无线传感器网络
  • DOI:
    10.1007/978-3-642-35576-9_18
  • 发表时间:
    2012
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Xinxin Liu;Li Yu;Di Wang;Xiaolin Li
  • 通讯作者:
    Xiaolin Li
Meshless analysis and applications of a symmetric improved Galerkin boundary node method using the improved moving least-square approximation
改进移动最小二乘近似对称改进伽辽金边界节点法的无网格分析及应用
  • DOI:
    10.1016/j.apm.2015.09.080
  • 发表时间:
    2016-02
  • 期刊:
  • 影响因子:
    5
  • 作者:
    Xiaolin Li;Shougui Zhang
  • 通讯作者:
    Shougui Zhang
Firm positionality and strategic communication: Analyzing the value of informativeness for managers
公司定位和战略沟通:分析信息对管理者的价值
  • DOI:
    10.1177/03063070231188809
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    2.1
  • 作者:
    Xiaolin Li;T. Awan;Farooq Mughal
  • 通讯作者:
    Farooq Mughal
DeepSky: Identifying Absorption Bumps via Deep Learning
DeepSky:通过深度学习识别吸收颠簸
Corrigendum to “Characterization of substances released from crumb rubber material used on artificial turf fields” [Chemosphere 80 (3) (2010) 279–285]
“人造草坪使用的粒状橡胶材料释放物质的特性”勘误表 [Chemosphere 80 (3) (2010) 279–285]
  • DOI:
  • 发表时间:
    2010
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Xiaolin Li;W. Berger;Craig Musante;M. Mattina
  • 通讯作者:
    M. Mattina

Xiaolin Li的其他文献

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{{ truncateString('Xiaolin Li', 18)}}的其他基金

I/UCRC: University of Florida Planning Grant: I/UCRC for Big Learning
I/UCRC:佛罗里达大学规划补助金:I/UCRC 大学习
  • 批准号:
    1624782
  • 财政年份:
    2016
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
MRI: Acquisition of GatorCloud: Enabling High-Impact Scientific Research and Collaboration via Software Defined Networks and Cloud Services
MRI:收购 GatorCloud:通过软件定义网络和云服务实现高影响力的科学研究和协作
  • 批准号:
    1229576
  • 财政年份:
    2012
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
CAREER: SMART: Scalable Adaptive Runtime Management Algorithms and Toolkit for Large-Scale Dynamic Scientific Applications
职业:SMART:用于大规模动态科学应用的可扩展自适应运行时管理算法和工具包
  • 批准号:
    0953371
  • 财政年份:
    2010
  • 资助金额:
    $ 5万
  • 项目类别:
    Continuing Grant
CAREER: SMART: Scalable Adaptive Runtime Management Algorithms and Toolkit for Large-Scale Dynamic Scientific Applications
职业:SMART:用于大规模动态科学应用的可扩展自适应运行时管理算法和工具包
  • 批准号:
    1128805
  • 财政年份:
    2010
  • 资助金额:
    $ 5万
  • 项目类别:
    Continuing Grant
Conference on Analysis, Modeling and Computation of PDE and Multiphase Flow; Stony Brook, NY
偏微分方程和多相流分析、建模和计算会议;
  • 批准号:
    0422640
  • 财政年份:
    2004
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
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