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	Milestones in Autonomous Driving and Intelligent Vehicles-Part 1: Control, Computing System Design, Communication, HD Map, Testing, and Human Behaviors 期刊论文 OAI收割 IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2023, 页码: 17 作者: Chen, Long; Li, Yuchen; Huang, Chao; Xing, Yang; Tian, Daxin \| 收藏 \| 浏览/下载：21/0 \| 提交时间：2023/11/17 Surveys Control systems Behavioral sciences Testing Task analysis System analysis and design Planning Autonomous driving (AD) communication computing system design control high-definition map (HD map) human behaviors intelligent vehicles (IVs) perception planning survey of surveys (SoS) testing
	An Integrated System for Regional Environmental Monitoring and Management Based on Internet of Things SCI/SSCI论文 OAI收割 2014 Fang S. F.; Xu L. D.; Zhu Y. Q.; Ahati J.; Pei H.; Yan J. W.; Liu Z. H. 收藏 \| 浏览/下载：42/0 \| 提交时间：2014/12/24 Big data climate change cloud computing enterprise systems environmental monitoring and management e-Science geoinformatics industrial informatics Internet of Things (IoT) system integration information-systems service workflow design architecture framework mobile iot
	Distributed computing model for processing remotely sensed images based on grid computing SCI/SSCI论文 OAI收割 2007 Shen Z. F.; Luo J. C.; Huang G. G.; Ming D. P.; Ma W. F.; Sheng H. 收藏 \| 浏览/下载：39/0 \| 提交时间：2012/06/08 grid computing middleware Web services remotely sensed image processing distributed and parallel processing computing model design system environments algorithms discovery network gis
	Target track system design based on circular projection (EI CONFERENCE) 会议论文 OAI收割 ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China Song H.-J.; Zhu M.; Hu S.; Shen M.-L. 收藏 \| 浏览/下载：22/0 \| 提交时间：2013/03/25 Template matching is the process of searching the present and the location of a reference image or an object in a scene image. Template matching is a classical problem in a scene analysis: given a reference image of an object decide whether that object exists in a scene image under analysis and find its location if it does. The template matching process involves cross-correlating the template with the scene image and computing a measure of similarity between them to determine the displacement. The conventional matching method used the spatial cross-correlation process which is computationally expensive. Some algorithms are proposed for this speed problem such as pyramid algorithm but it still can't reach the real-time for bigger model image. Moreover the cross-correlation algorithm can't be effective when the object in the image is rotated. Therefore the conventional algorithms can't be used for practical purpose. In this paper an algorithm for a rotation invariant template matching method based on different value circular projection target tracking algorithm is proposed. This algorithm projects the model image as circular and gets the radius and the sum of the same radius pixel value. The sum of the same radius pixel value is invariable for the same image and the any rotated angle image. Therefore this algorithm has the rotation invariant property. In order to improve the matching speed and get the illumination invariance the different value method is combined with circular projection algorithm. This method computes the different value between model image radius pixel sum and the scene image radius pixel sum so that it gets the matching result. The pyramid algorithm also is been applied in order to improve the matching speed. The high speed hardware system also is been design in order to meet the real time requirement of target tracking system. The results show that this system has the good rotate invariance and real-time property.