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第30届中国控制与决策会议

作者： Tianci Ao Xiaodong Liu Yan Ren Rui Luo Jie Xi School of electronic information and electrical engineering Dalian University of Technology Shenyang Aerospace University

With the rapid development of image processing technology,image matching has been widely applied in many ***-Up Robust Features（SURF） algorithm is a robust and efficient method usually used for the matching of UAV aerial ***,mismatch may happen when extracting interest points and doing image matching due to complex data features contained in UAV aerial *** order to solve this problem,this paper mainly studies the factors affecting the image matching *** is found that the matching effect may have low quality due to the large different scales between the UAV aerial image and the matching *** traversing different image scale,this paper finds the best matching ***,Sum of Absolute Differences（SAD） algorithm is used to remove fail matching feature points and to improve the matching accuracy of UAV aerial *** experimental results show that the proposed method can effectively improve the matching accuracy of UAV aerial images.

关键词： SURF scene matching Interest points UAV Scale selection

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Strapdown scene matching Location Approach for Aircraft with Attitude Variances

Strapdown Scene Matching Location Approach for Aircraft with...

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第26届中国控制与决策会议

作者： Xiaogang Yang Jianxiang Xi Jianyong Wang Shiwei Chen High-Tech Institute of Xi’an

ISBN: (纸本)9781479937097

Geometric rectification problems of the strapdown scene matching for aircraft with attitude variances are investigated. Firstly, by analyzing the main factors causing geometric distortion in the process of real-time image capturing, two coordinates system are established, the real-time image distortion is classified, and the distortion mathematic models are proposed. Then, according to the altitude and attitude angle information of the aircraft camera, the geometric rectification of the real-time image is realized, where the center point error between the realtime image and original one and the size of the real-time image can also be determined. Furthermore, a strapdown scene matching approach is shown for aircraft with attitude variances. Finally, a simulation example is given to demonstrate the validity and the efficiency of the proposed approach.

关键词： scene matching mathematic model geometric rectification matching approach

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CALTM:A Context-Aware Long-Term Time-Series Forecasting Model

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Computer Modeling in Engineering & Sciences 2024年第4期139卷 873-891页

作者： Canghong Jin Jiapeng Chen Shuyu Wu Hao Wu Shuoping Wang Jing Ying School of Computer and Computing Science Hangzhou City UniversityHangzhou310015China School of Computer Science and Engineering Macao University of Science and TechnologyMacao999078China College of Computer Science and Technology Zhejiang UniversityHangzhou310058China

Time series data plays a crucial role in intelligent transportation *** flow forecasting represents a precise estimation of future traffic flow within a specific region and time *** approaches,including sequence periodic,regression,and deep learning models,have shown promising results in short-term series ***,forecasting scenarios specifically focused on holiday traffic flow present unique challenges,such as distinct traffic patterns during vacations and the increased demand for long-term ***,the effectiveness of existing methods diminishes in such ***,we propose a novel longterm forecasting model based on scene matching and embedding fusion representation to forecast long-term holiday traffic *** model comprises three components:the similar scene matching module,responsible for extracting Similar scene Features;the long-short term representation fusion module,which integrates scenario embeddings;and a simple fully connected layer at the head for making the final *** results on real datasets demonstrate that our model outperforms other methods,particularly in medium and long-term forecasting scenarios.

关键词： Traffic volume forecasting scene matching multi module fusion

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An UAV Navigation Aided with Computer Vision 26th

An UAV Navigation Aided with Computer Vision

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第26届中国控制与决策会议

作者： ZHANG ChengHao CHEN JiaBin SONG ChunLei XU JianHua School of Automation Beijing Institute of Technology

ISBN: (纸本)9781479937097

Currently most of UAV navigation systems are composed of GPS/INS integrated navigation. To give a alternative navigation method when GPS doesn’t work on UAV, a machine vision-aided navigation method is proposed to navigate the UAV with INS. Image Stitching as the core technology is to build real-time ground panoramic *** with GPS latitude and longitude information, certain data fusion method is used to build dynamic ground map. In case of failure of GPS positioning, scene matching techniques is used on the dynamic map to get real-time latitude and longitude information of UAV, to form a integrated navigation with pure inertial system. Also, UAVs can perform a variety of intelligent missions based on the method. In this paper, Visual C + + is applied to form complete visual / GPS / INS integrated navigation simulation system, the simulation experiments of proposed navigation method verify the feasibility of the program and high prospects.

关键词： Vision Navigation UAV Image Stitching scene matching

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Edge Direction Dispersion and Its Application in Automatic Suitable-matching Area Selection

Edge Direction Dispersion and Its Application in Automatic S...

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2011 Chinese Control and Decision Conference（CCDC）

作者： DING Qing-hai1,YU Xin-rong2,3,4,5,6,LUO Hai-bo2,4,5,LIU Hong-mei6 1.Research Institute of General Development and Demonstration of Equipment,Equipment of Air Force,Bejing 100076,PR China 2.Shenyang Institute of Automation,Chinese Academy of Sciences,Shenyang 110016,PR China 3.Graduate School,Chinese Academy of Sciences,Beijing 100039,PR China 4.Key Laboratory of Optical-Electronics Information Processing,Chinese Academy of Science,Shenyang 110016,PR China 5.Key Laboratory of Image Understanding and Computer Vision,Liaoning Province 110016,PR China6.AVIC HONGDU Aviation Industry Group LTD Nanchang 330024 PR China

Automatic suitable-matching area selection is an important research in visual guidance,scene matching and local non-texture target ***,it is the major research subject in computer vision and accurate *** this paper,a new characteristic quantity,i.e.,the edge direction dispersion was *** the computation method,parameters selection and real-time realization of this characteristic quantity were ***,the application of its characteristic in automatic suitable-matching area selection was *** a reasonable design for calculation precision,solving method for arctan(x) function in [-,+ ] could be simplified to linearization calculations in [0,0.25],then a fast algorithm for arctan(x) function was *** results showed that the sub-image extracted by our fast algorithm had higher matching level and was suitable to be a matching *** the calculations involved in the proposed matching algorithm could be done in one filed period and the real-time request could be ***,this characteristic of edge direction could also be used to measure the comparability of template and real-time images,which could be widely used in automatic target recognition and target tracking.

关键词： imaging guidance scene matching local non-texture target tracking automatic suitable-matching area selection edge direction dispersion

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