一种基于车联网架构的宽视野图像信息系统

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。

Wide-view image system based on Internet of cars

The paper proposed a wide-view image system based on the Internet of cars which compositions information acquisition and fusion. It used a camera and global position system for acquiring image around and the car location information respectively which was transmitted to the server on the information collection stage. On the information fusion stage, firstly, it found the image set suitable for wide-view image using GPS location. Secondly, it constructed wide-view image through a image stitching algorithm based on SURF on the server. Experiments show that the algorithm performs well with high time efficiency. The system is extendable for developing further applications of Internet of cars.