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检索条件"机构=Computer Vision and Robotics Group Institute oflnformatics and Applications"
34 条 记 录,以下是1-10 订阅
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Feature extraction for underwater visual SLAM
Feature extraction for underwater visual SLAM
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OCEANS - Europe
作者: Josep Aulinas Marc Carreras Xavier Llado Joaquim Salvi Rafael Garcia Ricard Prados Yvan R. Petillot Computer Vision and Robotics Group Institute of Informatics and Applications University of Girona Girona Spain Oceans Systems Laboratory School of Engineering and Physical Sciences Heriot-Watt University Edinburgh UK
Detecting and selecting proper landmarks is a key issue to solve Simultaneous Localization and Mapping (SLAM). In this work, we present a novel approach to perform this landmark detection. Our approach is based on usi... 详细信息
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Elastic modulus imaging using optical flow and image registration
Elastic modulus imaging using optical flow and image registr...
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IEEE International Conference on Image Processing
作者: Robert Martí Alison Noble Computer Vision and Robotics Group Institute of Informatics and Applications University of Girona Spain Biomedical Image Analysis Laboratory Institute of Biomedical Engineering University of Oxford UK
Elastography, the imaging technique for estimating the elastic tissue properties, or more specifically elastic modulus imaging, are becoming important diagnosis tools in computer aided diagnosis system, specially focu... 详细信息
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Feature based slam using side-scan salient objects
Feature based slam using side-scan salient objects
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OCEANS
作者: Josep Aulinas Xavier Lladó Joaquim Salvi Yvan R. Petillot Computer Vision and Robotics Group Institute of Informatics and Applications University of Girona Girona Spain Oceans Systems Laboratory School of Engineering and Physical Sciences Heriot-Watt University Edinburgh UK
Different underwater vehicles have been developed in order to explore underwater regions, specially those of difficult access for humans. Autonomous Underwater Vehicles (AUVs) are equipped with on-board sensors, which... 详细信息
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Policy Gradient Based Reinforcement Learning for Real Autonomous Underwater Cable Tracking
Policy Gradient Based Reinforcement Learning for Real Autono...
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2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, Pages 3133-3660
作者: Andres El-Fakdi Marc Carreras Computer Vision and Robotics Group (VICOROB) Institute of Informatics and Applications University of Girona 17074 Girona Spain
This paper proposes a field application of a high-level Reinforcement Learning (RL) control system for solving the action selection problem of an autonomous robot in cable tracking task. The learning system is charact... 详细信息
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Real-time vision based auv navigation system using a complementary sensor suite
Real-time vision based auv navigation system using a complem...
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作者: Horgan, Jonathan Toal, Daniel Ridao, Pere Garcia, Rafael Mobile and Marine Robotics Research Centre Department of Electronic and Computer Engineering University of Limerick Ireland Computer Vision and Robotics Group Institute of Informatics and Applications University of Girona Spain
This paper proposes a real-time navigation system for an AUV that takes advantage of the complementary performance of a sensor suite including a DVL, a compass, a depth sensor and altimeter sensors with a feature base... 详细信息
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REAL-TIME vision BASED AUV NAVIGATION SYSTEM USING A COMPLEMENTARY SENSOR SUITE
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IFAC Proceedings Volumes 2007年 第17期40卷 373-378页
作者: Jonathan Horgan Daniel Toal Pere Ridao Rafael Garcia Mobile and Marine Robotics Research Centre Department of Electronic and Computer Engineering University of Limerick Ireland Computer Vision and Robotics Group Institute of Informatics and Applications University of Girona Spain
This paper proposes a real-time navigation system for an AUV that takes advantage of the complementary performance of a sensor suite including a DVL, a compass, a depth sensor and altimeter sensors with a feature base... 详细信息
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Improving Clustering Algorithms for Image Segmentation using Contour and Region Information
Improving Clustering Algorithms for Image Segmentation using...
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IEEE International Conference on Automation, Quality and Testing, robotics, AQTR
作者: Arnau Oliver Xavier Munoz Joan Batlle Lluis Pacheco Jordi Freixenet Computer Vision and Robotics Group Institute of Informatics and Applications University of Girona Girona Spain
In image segmentation, clustering algorithms are very popular because they are intuitive and, some of them, easy to implement. For instance, the k-means is one of the most used in the literature, and many authors succ... 详细信息
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A computer vision sensor for panoramic depth perception
A computer vision sensor for panoramic depth perception
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Second Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2005
作者: Orghidan, Radu Mouaddib, El Mustapha Salvi, Joaquim Institute of Informatics and Applications Computer Vision and Robotics Group University of Girona Girona Spain Centre de Robotique Électrotechnique et Automatique Université de Picardie Jules Verne Amiens France
A practical way for obtaining depth in computer vision is the use of structured light systems. For panoramic depth reconstruction several images are needed which most likely implies the construction of a sensor with m... 详细信息
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Omnidirectional depth computation from a single image
Omnidirectional depth computation from a single image
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2005 IEEE International Conference on robotics and Automation
作者: Orghidan, Radu Mouaddib, El Mustapha Salvi, Joaquim Centre de Robotique Electrotechnique et d'Automatique Université de Picardie Jules Verne Amiens France Computer Vision and Robotics Group Institute of Informatics and Applications University of Girona Girona Catalonia Spain
Omnidirectional cameras offer a much wider field of view than the perspective ones and alleviate the problems due to occlusions. However, both types of cameras suffer from the lack of depth perception. A practical met... 详细信息
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Omnidirectional Depth Computation from a Single Image
Omnidirectional Depth Computation from a Single Image
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IEEE International Conference on robotics and Automation (ICRA)
作者: R. Orghidan E.M. Mouaddib J. Salvi Institute of Informatics and Applications Computer Vision and Robotics Group University of Girona Catalonia Spain Centre de Robotique Université de Picardie Jules-Verne Amiens France
Omnidirectional cameras offer a much wider field of view than the perspective ones and alleviate the problems due to occlusions. However, both types of cameras suffer from the lack of depth perception. A practical met... 详细信息
来源: 评论