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2021 3rd International Conference on Robotics and Computer Vision (ICRCV)最新文献

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Research on Safety Classification for Vehicle Anti-collision Data by Improved Interval Fuzzy Reasoning 基于改进区间模糊推理的汽车防撞数据安全分类研究
2021 3rd International Conference on Robotics and Computer Vision (ICRCV) Pub Date : 2021-08-06 DOI: 10.1109/ICRCV52986.2021.9546967
Lijuan Qin, Ying Shen
{"title":"Research on Safety Classification for Vehicle Anti-collision Data by Improved Interval Fuzzy Reasoning","authors":"Lijuan Qin, Ying Shen","doi":"10.1109/ICRCV52986.2021.9546967","DOIUrl":"https://doi.org/10.1109/ICRCV52986.2021.9546967","url":null,"abstract":"The automobile anti-collision safety system can reduce the traffic accident rate and maintain traffic safety. Research of it is very practical and important. This paper introduces a new safety data classification method. A new weighted interval value matching classification method was proposed based on interval-valued fuzzy set theory. The weights of each feature are determined by the relationship between classes and inside classes. The matching function is achieved by common interval intersection operations. At last, simulation is given to illustrate the effectiveness. The new fuzzy classifier can be applied to safety data classification for vehicle crash avoidance.","PeriodicalId":377887,"journal":{"name":"2021 3rd International Conference on Robotics and Computer Vision (ICRCV)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127935312","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Research on Image Recognition for License Plate from Classifier Algorithm 基于分类器算法的车牌图像识别研究
2021 3rd International Conference on Robotics and Computer Vision (ICRCV) Pub Date : 2021-08-06 DOI: 10.1109/ICRCV52986.2021.9546962
Lijuan Qin, Xiaofang Liu
{"title":"Research on Image Recognition for License Plate from Classifier Algorithm","authors":"Lijuan Qin, Xiaofang Liu","doi":"10.1109/ICRCV52986.2021.9546962","DOIUrl":"https://doi.org/10.1109/ICRCV52986.2021.9546962","url":null,"abstract":"Classification algorithm based on Adaboost and Harr-like features is quite mature to be used in the field of face detection. In this paper, the traditional Adaboost algorithm is improved and the vehicle positioning module is added. At the same time, this algorithm is applied to vehicle license plate location and it greatly improves the accuracy of license plate location. License plate location is to distinguish the plate under the complex background environment. In license plate recognition, it is the most critical step. Its accuracy directly affects the accuracy of license plate recognition. In this aritical, a new algorithm is proprosed, and two simulation softwares are combined to make results of license plate location and recognition accuracy improved significantly.","PeriodicalId":377887,"journal":{"name":"2021 3rd International Conference on Robotics and Computer Vision (ICRCV)","volume":"32 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114106501","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Smart Planter: A Controlled Environment Agriculture System Prioritizing Usability for Urban Home Owner 智能种植机:一个优先考虑城市家庭可用性的受控环境农业系统
2021 3rd International Conference on Robotics and Computer Vision (ICRCV) Pub Date : 2021-08-06 DOI: 10.1109/ICRCV52986.2021.9546959
Kawai Teoh, Sokchoo Ng
{"title":"Smart Planter: A Controlled Environment Agriculture System Prioritizing Usability for Urban Home Owner","authors":"Kawai Teoh, Sokchoo Ng","doi":"10.1109/ICRCV52986.2021.9546959","DOIUrl":"https://doi.org/10.1109/ICRCV52986.2021.9546959","url":null,"abstract":"Controlled Environment Agriculture (CEA) in the urban setting are often conducted on the medium to large scale. These CEA setups are often touted as a potential solution to the food desert problem, and as a method to reduce the distance from the farm to plate. Sometimes, the CEA setup could act as a piece of Green Architecture in the city, as is the case for Rooftop Gardens. This study proposed an IoT (Internet of Things) enabled agricultural setups called the Smart Planter, to be comfortably used by home owners that may have problems with growing edible food and herbs within their homes. The system design of the Smart Planter maintains several operational functions and automation from the larger CEA setups, bringing to the urban home owners the opportunity to grow from produce. The Smart Planter intended to bring to the urban home owners the benefits of a recreational activity, an educational experience and ease of access to nutrition. The result of this study is a physical model of the automated system that can detect and regulate the environment.","PeriodicalId":377887,"journal":{"name":"2021 3rd International Conference on Robotics and Computer Vision (ICRCV)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131296210","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Research on Target Ranging of Mobile Robot Based on Binocular Vision 基于双目视觉的移动机器人目标测距研究
2021 3rd International Conference on Robotics and Computer Vision (ICRCV) Pub Date : 2021-08-06 DOI: 10.1109/ICRCV52986.2021.9546971
Chengfu Jiang, Y. Gao, Pingfa Yang
{"title":"Research on Target Ranging of Mobile Robot Based on Binocular Vision","authors":"Chengfu Jiang, Y. Gao, Pingfa Yang","doi":"10.1109/ICRCV52986.2021.9546971","DOIUrl":"https://doi.org/10.1109/ICRCV52986.2021.9546971","url":null,"abstract":"In order to enable the mobile robot to obtain the three-dimensional information of the objects in space and ensure the safety of the mobile robot’s movement. Based on the principle of binocular stereo vision, combined with the methods of MATLAB and OpenCV, a target ranging system based on binocular stereo vision is designed on the mobile robot. The system uses the built-in toolbox of MATLAB to complete the binocular camera calibration, use OpenCV to extract the corner information and edge information of the target, and use the SIFT stereo matching algorithm to stereo match the left and right image pairs, and then obtain the disparity map by writing the ranging program, reproject the two-dimensional space points into the three-dimensional space, realize the conversion from two-dimensional coordinates to three-dimensional coordinates, so as to obtain the distance between the mobile robot and the target in real time. Finally, the distance test result is compared with the actual distance result, which proves that the measurement error is small, and verifies the feasibility of the distance measurement method.","PeriodicalId":377887,"journal":{"name":"2021 3rd International Conference on Robotics and Computer Vision (ICRCV)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121230197","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Human-Machine Co-Driven Creep Control for an Electric Bus 电动客车人机共驱动蠕变控制
2021 3rd International Conference on Robotics and Computer Vision (ICRCV) Pub Date : 2021-08-06 DOI: 10.1109/ICRCV52986.2021.9546977
Yuan Wang, Lianxin Yuan, Peng Du, X. Lian
{"title":"A Human-Machine Co-Driven Creep Control for an Electric Bus","authors":"Yuan Wang, Lianxin Yuan, Peng Du, X. Lian","doi":"10.1109/ICRCV52986.2021.9546977","DOIUrl":"https://doi.org/10.1109/ICRCV52986.2021.9546977","url":null,"abstract":"Creep control is used for the starting control of an electric vehicle. For an electric bus, the mass load varies widely, and the road friction information is hard to measure or estimate when the bus is static. In this study, a finite state machine is proposed to determine the control categories, normal mode, steep mode, transition mode, and stop mode. In the normal mode, a proportional based motor torque control and a brake torque control operated by the driver are combined as the total wheel torque, and a human-machine co-driven control is realized. An anti-slip control is added after the co-driven control. In steep mode, a slope sensor is used to measure the gradient to change the control parameters to achieve starting control on a steeper slope. The transition mode is set to take into account that the allowable time of motor maximum torque may be used up. By the proposed co-driven control, the vehicle can start on low friction roads and slopes without wheels slipping or vehicle moving back, and the driver can control the creep speed by the brake pedal only. Finally, some simulations and experiments are conducted to verify the effectiveness of the control strategy.","PeriodicalId":377887,"journal":{"name":"2021 3rd International Conference on Robotics and Computer Vision (ICRCV)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127906143","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Design and Kinematics Analysis of a Novel Uncoupled Two-Translational Parallel Robot Mechanism 一种新型非耦合双平移并联机器人机构的设计与运动学分析
2021 3rd International Conference on Robotics and Computer Vision (ICRCV) Pub Date : 2021-08-06 DOI: 10.1109/ICRCV52986.2021.9546973
F. Lu, Yanbin Zhang, Keming Wang
{"title":"Design and Kinematics Analysis of a Novel Uncoupled Two-Translational Parallel Robot Mechanism","authors":"F. Lu, Yanbin Zhang, Keming Wang","doi":"10.1109/ICRCV52986.2021.9546973","DOIUrl":"https://doi.org/10.1109/ICRCV52986.2021.9546973","url":null,"abstract":"The paper presents a novel uncoupled two-translational parallel robot mechanism, which includes three branch chains. The first and the second branch chains, called the actuated branches, have the same structure, i.e. RUPR-type. The third branch chain, called a pure constraint branch, is only composed of three revolute joints whose axes are with parallel to each other. Degree of freedom (DOF) and output motion characteristics of the robot are analyzed. The kinematics models of the robot mechanism are established by using the actuation screw wrench theory and the closed loop vector method. Position, velocity and acceleration equations are derived. Singularity is also analyzed in detail and the singular configurations of the robot mechanism are obtained. Finally, kinematics simulation is performed by use of MATLAB and ADMAS software, and the kinematic curves are drawn.","PeriodicalId":377887,"journal":{"name":"2021 3rd International Conference on Robotics and Computer Vision (ICRCV)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134483944","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Numerical Study on the Contact Pair under Press Hardening Conditions 挤压硬化条件下接触副的数值研究
2021 3rd International Conference on Robotics and Computer Vision (ICRCV) Pub Date : 2021-08-06 DOI: 10.1109/ICRCV52986.2021.9546978
L. Deng, S. Ji, D. Lu
{"title":"Numerical Study on the Contact Pair under Press Hardening Conditions","authors":"L. Deng, S. Ji, D. Lu","doi":"10.1109/ICRCV52986.2021.9546978","DOIUrl":"https://doi.org/10.1109/ICRCV52986.2021.9546978","url":null,"abstract":"Tribological behaviors are of importance in press hardening processes. In some extent, proper friction and reasonable wear result in good economics and high quality of productivity. The friction becomes unstable when the tool wear accumulates to a certain amount, which not only shortens the service life of the tool but also increases the rupture and wrinkling risk of the workpiece. The worn surface is relevant with break of the coating, increase of the transferred layer and the wear debris. In order to study the tribological behaviors in the worn surface of a stamping tool, the present work outlines a finite element (FE) simulation for the contact pair under the press hardening conditions. The present FE-simulation provides with the possibility to predict the friction force and wear with consideration of surface topography, coating fracture, solid lubricant coverage during the forming process.","PeriodicalId":377887,"journal":{"name":"2021 3rd International Conference on Robotics and Computer Vision (ICRCV)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125106498","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Deep High-order Tensor Convolutional Sparse Coding for Stereo Matching 深度高阶张量卷积稀疏编码用于立体匹配
2021 3rd International Conference on Robotics and Computer Vision (ICRCV) Pub Date : 2021-08-06 DOI: 10.1109/ICRCV52986.2021.9546963
Wenjing Cui, Chunbo Cheng
{"title":"Deep High-order Tensor Convolutional Sparse Coding for Stereo Matching","authors":"Wenjing Cui, Chunbo Cheng","doi":"10.1109/ICRCV52986.2021.9546963","DOIUrl":"https://doi.org/10.1109/ICRCV52986.2021.9546963","url":null,"abstract":"With the rapid development of science and technology, high-dimensional data emerge one after another. High-order tensors can be used to describe high-dimensional data structure, which can retain the hidden structure of data, but cannot obtain the deep features. Therefore, it is very important to establish a deep high order tensor model. In this paper, we propose a deep high-order tensor convolutional sparse coding model, which can automatically learn the deep convolutional kernel. Based on the learned deep convolutional kernel, a two-layer deep dictionary learning model is established. Then, the sparse representation coefficients are respectively solved, and a new weighted matching cost method is constructed, which combines shallow and deep features. The experimental results on the Middlebury 2014 dataset show that the proposed deep high-order tensor convolutional sparse coding is effective for stereo matching.","PeriodicalId":377887,"journal":{"name":"2021 3rd International Conference on Robotics and Computer Vision (ICRCV)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129156617","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Research on Human Motion Recognition Method Based on Hybrid Convolution Neural Network-Hidden Markov Model 基于混合卷积神经网络隐马尔可夫模型的人体运动识别方法研究
2021 3rd International Conference on Robotics and Computer Vision (ICRCV) Pub Date : 2021-08-06 DOI: 10.1109/ICRCV52986.2021.9546966
Zhen Zhang, Shirong Zhang, Zhuanzhe Zhao, Yongming Liu, Yanpeng Kan
{"title":"Research on Human Motion Recognition Method Based on Hybrid Convolution Neural Network-Hidden Markov Model","authors":"Zhen Zhang, Shirong Zhang, Zhuanzhe Zhao, Yongming Liu, Yanpeng Kan","doi":"10.1109/ICRCV52986.2021.9546966","DOIUrl":"https://doi.org/10.1109/ICRCV52986.2021.9546966","url":null,"abstract":"This paper proposes a human motion recognition method based on hybrid Convolutional Neural Network-Hidden Markov Model (CNN-HMM). The main idea is to embed the posterior probability of CNN into the observation probability matrix of HMM. In order to verify the effectiveness of this method, a motion library including one standard motion posture and five non-standard motion postures is established. The experimental data are obtained by combining with the wearable motion capture suit Perception Neuron 2.0 (PN 2.0). The accuracy of leg-lifting is identified and verified by data preprocessing and data segmentation. The results show that the proposed hybrid CNN-HMM method can distinguish the non-standard motion posture from the standard motion postures with a high recognition rate of 97%.","PeriodicalId":377887,"journal":{"name":"2021 3rd International Conference on Robotics and Computer Vision (ICRCV)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116408955","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Trajectory Planning for Contact-Based Robotic Applications by Use of a 3D Stereo Depth Camera 使用3D立体深度相机的接触式机器人应用轨迹规划
2021 3rd International Conference on Robotics and Computer Vision (ICRCV) Pub Date : 2021-08-06 DOI: 10.1109/ICRCV52986.2021.9546958
A. Zaki, Yevheniy Dmytriyev, Kevin Castelli, M. Carnevale, H. Giberti
{"title":"Trajectory Planning for Contact-Based Robotic Applications by Use of a 3D Stereo Depth Camera","authors":"A. Zaki, Yevheniy Dmytriyev, Kevin Castelli, M. Carnevale, H. Giberti","doi":"10.1109/ICRCV52986.2021.9546958","DOIUrl":"https://doi.org/10.1109/ICRCV52986.2021.9546958","url":null,"abstract":"In this paper a robotic solution is introduced to automate the generation of trajectories in contact-based industrial operations, through the use of a 3D stereo depth camera. The 3D camera is used to detect the workpiece features like color, depth, position and orientation, and the trajectory to be followed by the tool contact point is then generated only based on this information. A force sensor is then used to guarantee a constant contact force between the robot end-effector and the workpiece, and to adjust possible errors in the generated trajectory. The system performance, on curvilinear non-flat workpiece, is validated through glue deposition application in footwear manufacturing.","PeriodicalId":377887,"journal":{"name":"2021 3rd International Conference on Robotics and Computer Vision (ICRCV)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127930774","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
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