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检索条件"机构=Computer Vision and Robotics Institute"
469 条 记 录,以下是311-320 订阅
排序:
Learning Attentive Pairwise Interaction for Fine-Grained Classification
arXiv
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arXiv 2020年
作者: Zhuang, Peiqin Wang, Yali Qiao, Yu ShenZhen Key Lab of Computer Vision and Pattern Recognition SIAT-SenseTime Joint Lab Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences SIAT Branch Shenzhen Institute of Artificial Intelligence and Robotics for Society
Fine-grained classification is a challenging problem, due to subtle differences among highly-confused categories. Most approaches address this difficulty by learning discriminative representation of individual input i... 详细信息
来源: 评论
Online mapping and motion planning under uncertainty for safe navigation in unknown environments
arXiv
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arXiv 2020年
作者: Pairet, Èric Hernández, Juan David Carreras, Marc Petillot, Yvan Lahijanian, Morteza Institute of Perception Action and Behaviour University of Edinburgh and Heriot-Watt University United Kingdom Department of Computer Sciences Rice University United States Computer Vision and Robotics Institute Univeristy of Girona Spain Department of Aerospace Engineering Sciences University of Colorado BoulderCO United States
Safe autonomous navigation is an essential and challenging problem for robots operating in highly unstructured or completely unknown environments. Under these conditions, not only robotic systems must deal with limite... 详细信息
来源: 评论
Fingerprint Presentation Attack Detector Using Global-Local Model
arXiv
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arXiv 2024年
作者: Liu, Haozhe Zhang, Wentian Liu, Feng Wu, Haoqian Shen, Linlin The Computer Vision Institute College of Computer Science and Software Engineering SZU Branch Shenzhen Institute of Artificial Intelligence and Robotics for Society The National Engineering Laboratory for Big Data System Computing Technology The Guangdong Key Laboratory of Intelligent Information Processing Shenzhen University Shenzhen518060 China
The vulnerability of automated fingerprint recognition systems (AFRSs) to presentation attacks (PAs) promotes the vigorous development of PA detection (PAD) technology. However, PAD methods have been limited by inform... 详细信息
来源: 评论
Detection and depth estimation for domestic waste in outdoor environments by sensors fusion
arXiv
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arXiv 2022年
作者: de Páez-Ubieta, Ignacio L. Velasco-Sánchez, Edison Puente, Santiago T. Candelas, Francisco A. AUtomatics RObotics and Artificial Vision Lab Computer Science Research Institute University of Alicante San Vicente del Raspeig University Campus s/n San Vicente del Raspeig Alicante03690 Spain
In this work, we estimate the depth in which domestic waste are located in space from a mobile robot in outdoor scenarios. As we are doing this calculus on a broad range of space (0.3 - 6.0 m), we use RGB-D camera and... 详细信息
来源: 评论
Augmented Cognition via Brainwave Entrainment in Virtual Reality: An Open, Integrated Brain Augmentation in a Neuroscience System Approach
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Augmented Human Research 2017年 第1期2卷 1-14页
作者: Emanuele Argento George Papagiannakis Eva Baka Michail Maniadakis Panos Trahanias Michael Sfakianakis Ioannis Nestoros Computational Vision and Robotics Laboratory Institute of Computer Science Foundation for Research and Technology Heraklion Greece Department of Computer Science University of Crete Heraklion Greece Department of Medicine University of Greece Heraklion Greece Department of Business Administration University of Piraeus Piraeus Greece Synchronal Amphiaraia University of Crete Snip-off Company Athens Greece
Building on augmented cognition theory and technology, our novel contribution in this work enables accelerated, certain brain functions related to task performance as well as their enhancement. We integrated in an ope...
来源: 评论
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 ...
来源: 评论
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
来源: 评论
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
来源: 评论
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
来源: 评论
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
来源: 评论