I-Corps: An Accurate and Accessible Indoor Positioning Technology
I-Corps:一种准确且易于使用的室内定位技术
基本信息
- 批准号:1661441
- 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:2016
- 资助国家:美国
- 起止时间:2016-12-01 至 2018-05-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The broader impact/commercial potential of this I-Corps project is centered around the ability to potentially reinvent interactions with indoor spaces. Similar to how GPS has revolutionized how we explore the world outdoors, indoor positioning can augment indoor experience with new information; having impact through the whole chain from end users to the surrounding industries. For example, the ability to track critical equipment indoors can save lives as in the hospital ER, understanding the flow of people inside of buildings can optimize our approach to energy management, and the availability of precise navigation indoors can be used by both humans and robots to streamline factory and warehouse operations. Commercially, the opportunity for this technology is significant. The general indoor positioning market is estimate to grow 42% annually to $10 billion by 2018. Today's indoor positioning solutions remain imprecise and/or too cumbersome to deploy - diluting their commercial and societal impact to date. This technology fills a crucial gap in this space by providing indoor positioning that is at the same time accurate, compatible with today's devices, and easy to deploy.This I-Corps project concerns an indoor positioning platform that is accurate, compatible with any Wi-Fi enabled user device (smartphones, tablets), and easily deployable. Research in this area has led to the development of hardware and algorithms that allow for sub-meter position accuracy indoors via easily manufactured compact Wi-Fi nodes built from commodity hardware. Simply placing these nodes at known locations in any indoor space allows for immediate positioning of user devices without additional pre-deployment effort. While GPS has revolutionized outdoor positioning, it does not work indoors. Current non-GPS solutions to this problem compromise accuracy, or require expensive hardware or calibration in the environment. This solution is both easy to deploy and accurate, filling an important gap in the indoor positioning industry.
这个I-Corps项目的更广泛的影响/商业潜力集中在重塑室内空间互动的能力上。就像GPS彻底改变了我们探索户外世界的方式一样,室内定位可以用新的信息增强室内体验;影响从终端用户到周边行业的全产业链。例如,跟踪室内关键设备的能力可以像在医院急诊室一样挽救生命,了解建筑物内的人员流动可以优化我们的能源管理方法,室内精确导航的可用性可以被人类和机器人用来简化工厂和仓库的操作。在商业上,这项技术的机会是巨大的。一般的室内定位市场预计将以每年42%的速度增长,到2018年将达到100亿美元。今天的室内定位解决方案仍然不精确,或者部署起来过于繁琐,这削弱了它们迄今为止的商业和社会影响。这项技术填补了这一领域的一个关键空白,它提供了准确的室内定位,与当今的设备兼容,并且易于部署。这个I-Corps项目涉及一个室内定位平台,该平台准确,与任何支持Wi-Fi的用户设备(智能手机、平板电脑)兼容,并且易于部署。这一领域的研究已经导致了硬件和算法的发展,通过由商品硬件构建的易于制造的紧凑型Wi-Fi节点,可以在室内实现亚米级的定位精度。只需将这些节点放置在任何室内空间的已知位置,就可以立即定位用户设备,而无需额外的预部署工作。虽然GPS已经彻底改变了室外定位,但它并不适用于室内。目前针对该问题的非gps解决方案会降低精度,或者需要昂贵的硬件或在环境中进行校准。该解决方案部署方便、定位准确,填补了室内定位行业的重要空白。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Roman Lubynsky其他文献
Roman Lubynsky的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Roman Lubynsky', 18)}}的其他基金
I-Corps: Translation Potential of a Machine Learning Risk Stratification Tool for Venous Thromboembolism
I-Corps:机器学习风险分层工具对静脉血栓栓塞的转化潜力
- 批准号:
2420417 - 财政年份:2024
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
I-Corps: Artificial Intelligence Models to Improve Heart Failure Management
I-Corps:改善心力衰竭管理的人工智能模型
- 批准号:
2234141 - 财政年份:2022
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
I-Corps: Non-invasive ultrasound technology for tactile stimulation to create a sense of touch
I-Corps:用于触觉刺激的非侵入性超声波技术,以产生触觉
- 批准号:
2103773 - 财政年份:2021
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
I-Corps: Digital Phenotyping to Predict and Prevent Burnout in the Workplace
I-Corps:通过数字表型预测和防止工作场所倦怠
- 批准号:
2131399 - 财政年份:2021
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
I-Corps: Membrane Materials for Efficient Gas and Vapor Separations
I-Corps:用于高效气体和蒸汽分离的膜材料
- 批准号:
2123323 - 财政年份:2021
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
I-Corps: Application of deep generative models for simulating biological systems
I-Corps:深度生成模型在模拟生物系统中的应用
- 批准号:
2137197 - 财政年份:2021
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
I-Corps: Digital twin technology via synthetic data generation to predict outcomes of clinical trials
I-Corps:通过合成数据生成的数字孪生技术来预测临床试验的结果
- 批准号:
2133778 - 财政年份:2021
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
I-Corps: Quantitative Tissue Oxygen Sensors
I-Corps:定量组织氧传感器
- 批准号:
2035836 - 财政年份:2020
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
I-Corps: Autonomous Robotic Instructor for Workforce Training
I-Corps:用于劳动力培训的自主机器人教练
- 批准号:
2029983 - 财政年份:2020
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
I-Corps Teams: Machine Learning (ML)-powered Data Analyzer for Radio Frequency Integrated Circuits (RFIC) Design
I-Corps Teams:用于射频集成电路 (RFIC) 设计的机器学习 (ML) 驱动的数据分析器
- 批准号:
2016398 - 财政年份:2020
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
相似海外基金
A novel damage characterization technique based on adaptive deconvolution extraction algorithm of multivariate AE signals for accurate diagnosis of osteoarthritic knees
基于多变量 AE 信号自适应反卷积提取算法的新型损伤表征技术,用于准确诊断膝关节骨关节炎
- 批准号:
24K07389 - 财政年份:2024
- 资助金额:
$ 5万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
The challenge of scaling methane fluxes in mangrove and mountain forests for an accurate methane budget
缩放红树林和山地森林甲烷通量以获得准确的甲烷预算的挑战
- 批准号:
24K01797 - 财政年份:2024
- 资助金额:
$ 5万 - 项目类别:
Grant-in-Aid for Scientific Research (B)
Adapting Position-Based Dynamics as a Biophysically Accurate and Efficient Modeling Framework for Dynamic Cell Shapes
采用基于位置的动力学作为动态细胞形状的生物物理准确且高效的建模框架
- 批准号:
24K16962 - 财政年份:2024
- 资助金额:
$ 5万 - 项目类别:
Grant-in-Aid for Early-Career Scientists
"Mimicking Human Head Sound Responses": Towards an Anatomically Accurate Head Prototype for Bone Conduction Crosstalk Cancellation Analysis with Humans
“模仿人类头部声音反应”:构建解剖学上准确的头部原型,用于人类骨传导串扰消除分析
- 批准号:
24K20786 - 财政年份:2024
- 资助金额:
$ 5万 - 项目类别:
Grant-in-Aid for Early-Career Scientists
Accurate analysis of PTM enzymes with an mRNA display/deep learning platform
利用 mRNA 显示/深度学习平台准确分析 PTM 酶
- 批准号:
23K23485 - 财政年份:2024
- 资助金额:
$ 5万 - 项目类别:
Grant-in-Aid for Scientific Research (B)
Synergising Process-Based and Machine Learning Models for Accurate and Explainable Crop Yield Prediction along with Environmental Impact Assessment
协同基于流程和机器学习模型,实现准确且可解释的作物产量预测以及环境影响评估
- 批准号:
BB/Y513763/1 - 财政年份:2024
- 资助金额:
$ 5万 - 项目类别:
Research Grant
Developing an accurate non-Newtonian surface rheology model
开发精确的非牛顿表面流变模型
- 批准号:
EP/Y031644/1 - 财政年份:2024
- 资助金额:
$ 5万 - 项目类别:
Research Grant
A Framework for Fast, Accurate, and Explainable Computerized Adaptive Language Test
快速、准确且可解释的计算机化自适应语言测试框架
- 批准号:
24K20903 - 财政年份:2024
- 资助金额:
$ 5万 - 项目类别:
Grant-in-Aid for Early-Career Scientists
CAREER: CRISPR-based biosensors for the ultra-accurate detection of disease-related single nucleotide polymorphisms (SNPs)
职业:基于 CRISPR 的生物传感器,用于超准确检测与疾病相关的单核苷酸多态性 (SNP)
- 批准号:
2421137 - 财政年份:2024
- 资助金额:
$ 5万 - 项目类别:
Continuing Grant
CAREER: CRISPR-based biosensors for the ultra-accurate detection of disease-related single nucleotide polymorphisms (SNPs)
职业:基于 CRISPR 的生物传感器,用于超准确检测与疾病相关的单核苷酸多态性 (SNP)
- 批准号:
2339868 - 财政年份:2024
- 资助金额:
$ 5万 - 项目类别:
Continuing Grant














{{item.name}}会员




