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GNSS, RF-Ranging, and Vision for Cooperative Relative Navigation

GNSS, RF-Ranging, and Vision for Cooperative Relative Navigation
用于协作相对导航的 GNSS、RF 测距和视觉
批准号:
RGPIN-2015-03773
负责人:
OKeefe, Kyle
金额:
$2.04万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2017
资助国家:
加拿大
项目状态:
已结题
起止时间:
2017-01-01 至 2018-12-31

项目摘要

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中文摘要
翻译
全球导航卫星系统(GNSS),包括美国全球定位系统(GPS),俄罗斯GLONASS和其他正在开发的系统,现在为在开放天空环境中操作的广泛用户提供准确可靠的定位。虽然用户已经习惯了无处不在的GNSS定位,但在室内和城市环境中,可用性和可靠性仍然很差。该研究计划将通过将多个gnss测量数据与基于地面的无线测距信号和来自视频图像的方位紧密集成,改进这些环境中的基于gnss的定位。城市和室内的位置目前是通过无线指纹识别技术确定的。结果通常是不准确和不可靠的,因此不用于车辆控制或生命安全应用。直接对通信信号进行测距是困难的;然而,新的无线标准包括时间/范围功能,使这些良好的信号成为可能。中国、欧洲、印度和日本部署的新型卫星导航系统将使卫星导航信号数量增加一倍,并将改善城市户外定位。集成在车辆和个人电子设备中的传感器的数量和质量正在增加,这些传感器可用于改善室内和城市环境中的定位和导航。
英文摘要
Global Navigation Satellite Systems (GNSS) including the U.S. Global Positioning System (GPS), Russian GLONASS and others under development now provide accurate and reliable positioning to a broad range of users operating in open sky environments. While users have become accustomed to ubiquitous GNSS positioning, availability and reliability remains poor in indoor and urban environments. This proposed research program will improve GNSS-based positioning in these environments through the tight integration of measurements from multiple GNSSs with ground-based wireless ranging signals and bearings derived from video imagery. Urban and indoor location is presently determined using wireless fingerprinting techniques. Results are generally inaccurate and unreliable and thus not used for vehicle control or safety-of-life applications. Direct ranging on communications signals is difficult; however new wireless standards include time/range capabilities making these good signals of opportunity. The deployment of new satellite navigation systems by China, Europe, India, and Japan will double the number of satellite navigation signals available and will improve urban outdoor positioning. The number and quality of sensors integrated in vehicles and personal electronic devices is increasing and these sensors can be used to improve positioning and navigation in both indoor and urban environments.
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Intelligent Geomatics Systems for Reliable Positioning in Smart Cities
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  • 项目类别:
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  • 资助金额:
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