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检索条件"机构=Intelligent Robotics and Computer Vision Group/Department of Computer Science and Mathematics"
289 条 记 录,以下是91-100 订阅
排序:
Conditional affordance learning for driving in urban environments
arXiv
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arXiv 2018年
作者: Sauer, Axel Savinov, Nikolay Geiger, Andreas Computer Vision and Geometry Group ETH Zürich Chair of Robotics Science and System Intelligence Technical University of Munich Autonomous Vision Group MPI for Intelligent Systems and University of Tübingen
Most existing approaches to autonomous driving fall into one of two categories: Modular pipelines, that build an extensive model of the environment, and imitation learning approaches, that map images directly to contr... 详细信息
来源: 评论
Start State Selection for Control Policy Learning from Optimal Trajectories
Start State Selection for Control Policy Learning from Optim...
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IEEE International Conference on robotics and Automation (ICRA)
作者: Christoph Zelch Jan Peters Oskar von Stryk Department of Computer Science TU Darmstadt Simulation Systems Optimization and Robotics Group Darmstadt Germany Department of Computer Science Intelligent Autonomous Systems Group TU Darmstadt Darmstadt Germany
Combination of optimal control methods and machine learning approaches allows to profit from complementary benefits of each field in control of robotic systems. Data from optimal trajectories provides valuable informa...
来源: 评论
Traffic Sign Classification Using Deep and Quantum Neural Networks
arXiv
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arXiv 2022年
作者: Kuros, Sylwia Kryjak, Tomasz Embedded Vision Systems Group Computer Vision Laboratory Department of Automatic Control and Robotics AGH University of Science and Technology Kraków Poland
Quantum Neural Networks (QNNs) are an emerging technology that can be used in many applications including computer vision. In this paper, we presented a traffic sign classification system implemented using a hybrid qu... 详细信息
来源: 评论
Traffic Sign Classification Using Deep and Quantum Neural Networks
TechRxiv
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TechRxiv 2022年
作者: Kuros, Sylwia Kryjak, Tomasz Embedded Vision Systems Group Computer Vision Laboratory Department of Automatic Control and Robotics AGH University of Science and Technology Kraków Poland
Quantum Neural Networks (QNNs) are an emerging technology that can be used in many applications including computer vision. In this paper, we presented a traffic sign classification system implemented using a hybrid qu... 详细信息
来源: 评论
A generalized framework for opening doors and drawers in kitchen environments
A generalized framework for opening doors and drawers in kit...
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IEEE International Conference on robotics and Automation (ICRA)
作者: Thomas Rühr Jürgen Sturm Dejan Pangercic Michael Beetz Daniel Cremers Intelligent Autonomous Systems group Computer Science Department Technische Universität München Germany Computer Vision and Pattern Recognition group Computer Science Department Technische Universität München Germany
In this paper, we present a generalized framework for robustly operating previously unknown cabinets in kitchen environments. Our framework consists of the following four components: (1) a module for detecting both La... 详细信息
来源: 评论
A review: Challenges and opportunities for artificial intelligence and robotics in the offshore wind sector
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Energy and AI 2022年 第2期8卷 177-212页
作者: Daniel Mitchell Jamie Blanche Sam Harper Theodore Lim Ranjeetkumar Gupta Osama Zaki Wenshuo Tang Valentin Robu Simon Watson David Flynn Smart Systems Group Institute of SensorsSignals and SystemsSchool of Engineering and Physical SciencesHeriot-Watt UniversityEdinburghEH144ASUnited Kingdom Centre for Mathematics and Computer Science Intelligent and Autonomous Systems GroupCWIAmsterdam1098 XG Netherlands Algorithms Group Faculty of Electrical EngineeringMathematics and Computer Science(EEMCS)Delft University of Technology(TU Delft)Delft2628 XE Netherlands The University of Manchester Department of Electrical and Electronic EngineeringOxford RoadManchesterM139PL United Kingdom James Watt School of Engineering University of GlasgowG128QQUnited Kingdom
The UK has set plans to increase offshore wind capacity from 22GW to 154GW by 2030. With such tremendous growth, the sector is now looking to robotics and Artificial Intelligence (RAI) in order to tackle lifecycle ser... 详细信息
来源: 评论
Heterogeneous sensor fusion framework for autonomous mobile robot obstacle avoidance
Heterogeneous sensor fusion framework for autonomous mobile ...
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International Conference on intelligent Systems Design and Applications (ISDA)
作者: Ali Zia Tauseef Gulrez Tayyab Chaudhry Department of Computer Science Intelligent Machines & Robotics Research Group COMSATS Institute of Information Technology Lahore Pakistan
This paper addresses the problem of moving obstacle detection for autonomous mobile robots in unknown urban environments through the fusion of (vehicle-mounted) forward looking laser and vision sensors. In this approa... 详细信息
来源: 评论
Underwater multi-robot convoying using visual tracking by detection
arXiv
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arXiv 2017年
作者: Shkurti, Florian Chang, Wei-Di Henderson, Peter Islam, Md Jahidul Higuera, Juan Camilo Gamboa Li, Jimmy Manderson, Travis Xu, Anqi Dudek, Gregory Sattar, Junaed Centre for Intelligent Machines School of Computer Science McGill University Interactive Robotics and Vision Laboratory Department of Computer Science and Engineering University of Minnesota- Twin Cities Element AI
We present a robust multi-robot convoying approach that relies on visual detection of the leading agent, thus enabling target following in unstructured 3-D environments. Our method is based on the idea of tracking-by-... 详细信息
来源: 评论
Multi-robot forest coverage for unweighted terrain
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AIP Conference Proceedings 2013年 第1期1558卷 2083-2086页
作者: Vladimir Popov Ural Federal University Department of Intelligent Systems and Robotics Mathematics and Computer Science Institute Lenin st. 51 620083 Ekaterinburg Russia
Different planning problems for mobile robots are of considerable interest for many years. Frequently, such problems require to solve different hard computational problems. Multi-robot forest coverage is one of such c...
来源: 评论
SIFT texture description for understanding breast ultrasound images
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12th International Workshop on Breast Imaging, IWDM 2014
作者: Massich, Joan Meriaudeau, Fabrice Sentís, Melcior Ganau, Sergi Pérez, Elsa Puig, Domenec Martí, Robert Oliver, Arnau Martí, Joan Computer Vision and Robotics Group University of Girona Spain Laboratoire Le2i-UMR CNRS University of Burgundy Le Creusot France Department of Breast and Gynecological Radiology UDIAT-Diagnostic Center Parc Taulí Corporation Sabadell Spain Department of Radiology Hospital Josep Trueta of Girona Spain Department of Computer Engineering and Mathematics University Rovira I Virgili Tarragona Spain
Texture is a powerful cue for describing structures that show a high degree of similarity in their image intensity patterns. This paper describes the use of Self-Invariant Feature Transform (SIFT), both as low-level a... 详细信息
来源: 评论