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检索条件"机构=Computer Vision and Robotics Institute"
464 条 记 录,以下是311-320 订阅
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Multi-UAV Cooperative Fault Detection Employing vision-Based Relative Position Estimation
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IFAC Proceedings Volumes 2008年 第2期41卷 12093-12098页
作者: G. Heredia F. Caballero I. Maza L. Merino A. Viguria A. Ollero Robotics Computer Vision and Intelligent Control Group University of Seville Camino de los Descubrimientos s/n 41092 Seville Spain Pablo de Olavide University Crta. Utrera km. 1 41013 Seville Spain School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta 30332 USA
This paper presents a method to increase the reliability of UAV sensor fault detection in a multi-UAV context. The method uses additional position estimations that augment individual UAV fault detection system. These ...
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A general framework for lifelong localization and mapping in changing environment
arXiv
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arXiv 2021年
作者: Zhao, Min Guo, Xin Song, Le Qin, Baoxing Shi, Xuesong Lee, Gim Hee Sun, Guanghui Gaussian Robotics Shanghai China Intel Labs China Beijing China Computer Vision and Robotic Perception Lab Department of Computer Science School of Computing National University of Singapore Singapore Singapore Department of Control Science and Engineering Harbin Institute of Technology China
The environment of most real-world scenarios such as malls and supermarkets changes at all times. A prebuilt map that does not account for these changes becomes out-of-date easily. Therefore, it is necessary to have a... 详细信息
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IEEE Transactions on Haptics: Editorial
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IEEE Transactions on Haptics 2008年 第1期1卷 2-8页
作者: Edward Colgate, J. Lederman, Susan Prattichizzo, Domenico Barbagli, Federico Basdogan, Cagatay Buss, Martin Ernst, Marc Frisoli, Antonio Gillespie, Brent Grant, Danny Harders, Matthias Hayward, Vincent Jones, Lynette Kajimoto, Hiroyuki Kappers, Astrid Kheddar, Abderrahmane Lin, Ming C. MacLean, Karon Miller, Brian Noma, Haruo Okamura, Allison M. O'Malley, Mareia Ryu, Jeha Tan, Hong Z. Yokokohji, Yasuyoshi Department of Psychology School of Computing Queen's University Canada IEEE Robotics and Automation Society Tübingen Germany Stanford University's Computer Science Department Tübingen Germany Institute of Automatic Control Engineering Technische Universität München Germany Independent Research Group Multisensory Perception and Action Max Planck Institute for Biological Cybernetics Tübingen Germany Department of Applied Mechanics SSSA Japan Research Division Virtual Reality and Telerobotic Systems PERCRO Laboratory Japan Department of Mechanical Engineering Japan Department of Robotics McGill University Canada Computer Vision Lab ETH Zurich Japan Virtual Reality in Medicine Group Japan IEEE CS/RAS Technical Committee on Haptics Japan Department of Electrical and Computer Engineering McGill University Canada Department of Mechanical Engineering MIT Japan University of Electro-Communications Japan Department of Physics and Astronomy Utrecht University Netherlands University of Evry France Chapel Hill United States Department of Computer Science University of British Columbia Canada ATR Knowledge Science Lab United Kingdom Department of Mechanical Engineering Denmark Johns Hopkins University United States Laboratory for Computational Sensing and Robotics United Kingdom Engineering Research Center for Computer-Integrated Surgical Systems and Technology United States Mechanical Engineering and Materials Science Department Rice University United States Korea Republic of Department of Electrical and Computer Engineering Mechanical Engineering and Psychological Sciences Purdue University United States Department of Mechanical Engineering and Science Graduate School of Engineering Kyoto University Japan
No abstract available
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A novel swarm intelligence algorithm and its application in solving wireless sensor networks coverage problems
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Journal of Networks 2012年 第12期7卷 2037-2043页
作者: Mo, Yuanbin Liu, Jizhong Wang, Baolei Jonathan Wu, Q.M. College of Mathematics and Computer Science Guangxi University for Nationalities Nanning 530006 China School of Mechanical and Electrical Engineering Institute of Robotics of Nanchang University Nanchang University Nanchang 330031 China Department of Electrical and Computer Engineering Computer Vision and Sensing Systems Laboratory University of Windsor Windsor N9B3P4 Canada
Wireless sensor networks (WSNs) have attracted a great deal of research due to their wide-range of potential applications. Sensor deployment and coverage problems are their important issues. This article briefly intro... 详细信息
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A toolkit to generate social navigation datasets
arXiv
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arXiv 2020年
作者: Baghel, Rishabh Kapoor, Aditya Bachiller, Pilar Jorvekar, Ronit R. Rodriguez-Criado, Daniel Manso, Luis J. Dept. of Computer Science and Engineering Indian Institute of Information Technology Guwahati India Dept. of Computer Science and Information Systems Birla Institute of Technology and Science Goa India Robotics and Artificial Vision Laboratory University of Extremadura Spain Dept. of Computer Engineering Pune Institute of Computer Technology India Dept. of Computer Science College of Engineering and Physical Sciences Aston University United Kingdom
Social navigation datasets are necessary to assess social navigation algorithms and train machine learning algorithms. Most of the currently available datasets target pedestrians’ movements as a pattern to be replica... 详细信息
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FoPro-KD: Fourier Prompted Effective Knowledge Distillation for Long-Tailed Medical Image Recognition
arXiv
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arXiv 2023年
作者: Elbatel, Marawan Martí, Robert Li, Xiaomeng The Department of Electronic and Computer Engineering The Hong Kong University of Science and Technology Hong Kong The Computer Vision and Robotics Institute University of Girona Spain The Department of Electronic and Computer Engineering the Hong Kong University of Science and Technology Hong Kong HKUST Shenzhen-Hong Kong Collaborative Innovation Research Institute Futian Shenzhen China
Representational transfer from publicly available models is a promising technique for improving medical image classification, especially in long-tailed datasets with rare diseases. However, existing methods often over... 详细信息
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Non-matrix tactile sensors: How can be exploited their local connectivity for predicting grasp stability?
arXiv
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arXiv 2018年
作者: Zapata-Impata, Brayan S. Gil, Pablo Torres, Fernando Automatics Robotics and Artificial Vision Research Group Dept. of Physics System Engineering and Signal Theory University of Alicante Alicante03690 Spain Computer Science Research Institute University of Alicante Alicante03690 Spain
Tactile sensors supply useful information during the interaction with an object that can be used for assessing the stability of a grasp. Most of the previous works on this topic processed tactile readings as signals b... 详细信息
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Multi-scale Dynamic and Hierarchical Relationship Modeling for Facial Action Units Recognition
arXiv
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arXiv 2024年
作者: Wang, Zihan Song, Siyang Luo, Cheng Deng, Songhe Xie, Weicheng Shen, Linlin Computer Vision Institute School of Computer Science & Software Engineering Shenzhen University China Shenzhen Institute of Artificial Intelligence and Robotics for Society China National Engineering Laboratory for Big Data System Computing Technology Shenzhen University China University of Leicester United Kingdom Monash University Australia
Human facial action units (AUs) are mutually related in a hierarchical manner, as not only they are associated with each other in both spatial and temporal domains but also AUs located in the same/close facial regions... 详细信息
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Optimal feature selection for subspace image matching
Optimal feature selection for subspace image matching
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International Conference on computer vision Workshops (ICCV Workshops)
作者: Gemma Roig Xavier Boix Fernando De la Torre GTM-Grup de Recerca de Technologies Media La Salle Universitat Ramon Llull Barcelona Spain Computer Vision Center Barcelona Spain Robotics Institute Carnegie Mellon University Pittsburgh PA USA
Image matching has been a central research topic in computer vision over the last decades. Typical approaches to correspondence involve matching features between images. In this paper, we present a novel problem for e... 详细信息
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CSSL-MHTR: Continual Self-Supervised Learning for Scalable Multi-script Handwritten Text Recognition
arXiv
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arXiv 2023年
作者: Dhiaf, Marwa Souibgui, Mohamed Ali Wang, Kai Liu, Yuyang Kessentini, Yousri Fornés, Alicia Rouhou, Ahmed Cheikh InstaDeep United Kingdom Computer Vision Center UAB Spain Digital Research Center of Sfax SM@RTS Tunisia State Key Laboratory of Robotics China Shenyang Institute of Automation Chinese Academy of Sciences China
Self-supervised learning has recently emerged as a strong alternative in document analysis. These approaches are now capable of learning high-quality image representations and overcoming the limitations of supervised ... 详细信息
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