Internet of Car, resulting from the Internet of Things, is a key point for the forthcoming smart city. In this article, GPS technology, 3G wireless technology and cloud-processing technology are employed to construct ...Internet of Car, resulting from the Internet of Things, is a key point for the forthcoming smart city. In this article, GPS technology, 3G wireless technology and cloud-processing technology are employed to construct a cloud-processing network platform based on the Internet of Car. By this platform, positions and velocity of the running cars, information of traffic flow from fixed monitoring points and transportation videos are combined to be a virtual traffic flow data platform, which is a parallel system with real traffic flow and is able to supply basic data for analysis and decision of intelligent transportation system.展开更多
基于无线物联网架构,提出了一种可实现车路信息实时采集、共享的宽视野图像信息系统。该系统应用GPS全球定位系统采集位置信息,使用图像传感器获得车辆周围图像;通过无线车辆网络将数据汇总;最后通过图像拼接算法构建宽视野图像信息。...基于无线物联网架构,提出了一种可实现车路信息实时采集、共享的宽视野图像信息系统。该系统应用GPS全球定位系统采集位置信息,使用图像传感器获得车辆周围图像;通过无线车辆网络将数据汇总;最后通过图像拼接算法构建宽视野图像信息。针对系统中的核心部分——构建宽视野图像信息,提出了一种基于SURF(speeded up robust features)图像特征的图像拼接算法。实验证明,该算法时间复杂度低,拼接效果良好,且系统具有良好的扩展性,可用于进一步开发车联网的智能应用。展开更多
基金supported by National Basic Research Program of China (973 Program) 2012CB821200 (2012CB821206)National Natural Science Foundation under Grant No. 61170113, No.91024001, No.61070142+1 种基金Beijing Natural Science Foundation(No.4111002)KM201010011006, PHR201008242
文摘Internet of Car, resulting from the Internet of Things, is a key point for the forthcoming smart city. In this article, GPS technology, 3G wireless technology and cloud-processing technology are employed to construct a cloud-processing network platform based on the Internet of Car. By this platform, positions and velocity of the running cars, information of traffic flow from fixed monitoring points and transportation videos are combined to be a virtual traffic flow data platform, which is a parallel system with real traffic flow and is able to supply basic data for analysis and decision of intelligent transportation system.
文摘基于无线物联网架构,提出了一种可实现车路信息实时采集、共享的宽视野图像信息系统。该系统应用GPS全球定位系统采集位置信息,使用图像传感器获得车辆周围图像;通过无线车辆网络将数据汇总;最后通过图像拼接算法构建宽视野图像信息。针对系统中的核心部分——构建宽视野图像信息,提出了一种基于SURF(speeded up robust features)图像特征的图像拼接算法。实验证明,该算法时间复杂度低,拼接效果良好,且系统具有良好的扩展性,可用于进一步开发车联网的智能应用。
