咨询与建议

限定检索结果

文献类型

  • 439 篇 会议
  • 209 篇 期刊文献

馆藏范围

  • 648 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 326 篇 工学
    • 213 篇 计算机科学与技术...
    • 187 篇 软件工程
    • 104 篇 控制科学与工程
    • 76 篇 光学工程
    • 66 篇 信息与通信工程
    • 52 篇 生物工程
    • 45 篇 机械工程
    • 32 篇 电气工程
    • 31 篇 生物医学工程(可授...
    • 30 篇 电子科学与技术(可...
    • 26 篇 交通运输工程
    • 22 篇 仪器科学与技术
    • 17 篇 土木工程
    • 13 篇 安全科学与工程
    • 12 篇 动力工程及工程热...
    • 12 篇 建筑学
    • 11 篇 化学工程与技术
    • 9 篇 力学(可授工学、理...
  • 167 篇 理学
    • 74 篇 物理学
    • 63 篇 数学
    • 53 篇 生物学
    • 27 篇 统计学(可授理学、...
    • 12 篇 化学
    • 9 篇 系统科学
  • 62 篇 管理学
    • 40 篇 管理科学与工程(可...
    • 29 篇 图书情报与档案管...
    • 17 篇 工商管理
  • 24 篇 医学
    • 23 篇 临床医学
    • 19 篇 基础医学(可授医学...
    • 14 篇 药学(可授医学、理...
  • 8 篇 农学
  • 6 篇 法学
  • 4 篇 经济学
  • 4 篇 教育学
  • 1 篇 哲学
  • 1 篇 文学
  • 1 篇 军事学
  • 1 篇 艺术学

主题

  • 125 篇 computer vision
  • 105 篇 robot vision sys...
  • 80 篇 cameras
  • 68 篇 laboratories
  • 57 篇 intelligent robo...
  • 50 篇 robot sensing sy...
  • 42 篇 layout
  • 41 篇 robustness
  • 36 篇 humans
  • 28 篇 object detection
  • 26 篇 mobile robots
  • 25 篇 robotics and aut...
  • 24 篇 feature extracti...
  • 24 篇 robot kinematics
  • 22 篇 vehicle detectio...
  • 22 篇 navigation
  • 22 篇 shape
  • 21 篇 vehicles
  • 20 篇 computer science
  • 20 篇 machine vision

机构

  • 28 篇 computer vision ...
  • 22 篇 university of ch...
  • 21 篇 shenzhen institu...
  • 20 篇 artificial intel...
  • 17 篇 institutes for r...
  • 16 篇 computer vision ...
  • 16 篇 national enginee...
  • 16 篇 shenzhen key lab...
  • 15 篇 embedded vision ...
  • 13 篇 computer vision ...
  • 13 篇 guangdong key la...
  • 12 篇 computer vision ...
  • 12 篇 shenyang institu...
  • 10 篇 computer vision ...
  • 9 篇 department of el...
  • 7 篇 key laboratory o...
  • 7 篇 embedded vision ...
  • 7 篇 computer vision ...
  • 6 篇 computer vision ...
  • 6 篇 computer vision ...

作者

  • 56 篇 m.m. trivedi
  • 32 篇 shen linlin
  • 30 篇 kryjak tomasz
  • 23 篇 n.p. papanikolop...
  • 20 篇 mohan m. trivedi
  • 19 篇 in so kweon
  • 17 篇 trivedi mohan m.
  • 17 篇 zhang hong
  • 17 篇 douglas g. macha...
  • 13 篇 c.e. smith
  • 12 篇 xie weicheng
  • 10 篇 j.c. mccall
  • 10 篇 hong zhang
  • 9 篇 tang chao
  • 9 篇 kweon in so
  • 9 篇 linlin shen
  • 8 篇 m. trivedi
  • 8 篇 lyons damian m.
  • 8 篇 song siyang
  • 8 篇 szolc hubert

语言

  • 626 篇 英文
  • 21 篇 其他
  • 1 篇 中文
检索条件"机构=Computer Vision and Robotics Laboratory"
648 条 记 录,以下是51-60 订阅
排序:
Human safety algorithms for a parallel cable-driven haptic interface
Human safety algorithms for a parallel cable-driven haptic i...
收藏 引用
作者: Otis, Martin J. -D. Comtois, Sylvain Laurendeau, Denis Gosselin, Clément Computer Vision and Systems Laboratory University Laval QC Canada Robotics Laboratory University Laval QC Canada
A parallel cable-driven haptic interface is designed to allow interaction with any type of virtual object. This paper presents and analyzes computational methods for addressing the issues regarding human safety and co... 详细信息
来源: 评论
A dynamic pruning and feature selection strategy for real-time tracking
A dynamic pruning and feature selection strategy for real-ti...
收藏 引用
19th International Conference on Advanced Information Networking and Applications, AINA 2005
作者: Hsu, D. Frank Lyons, Damian M. Computer Vision and Robotics Laboratory Department of Computer and Information Science Fordham University Bronx NY 10458 United States
Automated video tracking is useful in a number of applications such as surveillance, multisensor networks, robotics and virtual reality. In this paper we investigate an approach to tracking based on fusing the output ... 详细信息
来源: 评论
Selecting and evaluating combinatorial fusion criteria to improve multitarget tracking
Selecting and evaluating combinatorial fusion criteria to im...
收藏 引用
2006 9th International Conference on Information Fusion, FUSION
作者: Frank Hsu, D. Lyons, Damian M. Ai, Jizhou Computer Vision and Robotics Laboratory Department of Computer and Information Science Fordham University Bronx NY 10458 United States
In many useful video tracking situations, targets move through repeated mutual occlusions. As targets undergo occlusions, the feature subsets and combinations of those features that are effective in identifying the ta... 详细信息
来源: 评论
Generative 3D hand tracking with spatially constrained pose sampling  28
Generative 3D hand tracking with spatially constrained pose ...
收藏 引用
28th British Machine vision Conference, BMVC 2017
作者: Roditakis, Konstantinos Makris, Alexandros Argyros, Antonis A. Computational Vision and Robotics Laboratory Institute of Computer Science FORTH Greece Computer Science Department University of Crete Greece
We present a method for 3D hand tracking that exploits spatial constraints in the form of end effector (fingertip) locations. The method follows a generative, hypothesize-and-test approach and uses a hierarchical part... 详细信息
来源: 评论
Sharing and fusing landmark information in a team of autonomous robots
Sharing and fusing landmark information in a team of autonom...
收藏 引用
Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2009
作者: Lyons, Damian M. Robotics and Computer Vision Laboratory Department of Computer and Information Science Fordham University Bronx NY 10458 United States
A team of robots working to explore and map a space may need to share information about landmarks so as register local maps and to plan effective exploration strategies. In this paper we investigate the use of spatial... 详细信息
来源: 评论
Optimisation of a Siamese Neural Network for Real-Time Energy Efficient Object Tracking  1
收藏 引用
International Conference on computer vision and Graphics, ICCVG 2020
作者: Przewlocka, Dominika Wasala, Mateusz Szolc, Hubert Blachut, Krzysztof Kryjak, Tomasz Embedded Vision Systems Group Computer Vision Laboratory Department of Automatic Control and Robotics AGH University of Science and Technology Krakow Poland
In this paper the research on optimisation of visual object tracking using a Siamese neural network for embedded vision systems is presented. It was assumed that the solution shall operate in real-time, preferably for... 详细信息
来源: 评论
A vision Based Hardware-Software Real-Time Control System for the Autonomous Landing of an UAV  1
收藏 引用
International Conference on computer vision and Graphics, ICCVG 2020
作者: Blachut, Krzysztof Szolc, Hubert Wasala, Mateusz Kryjak, Tomasz Gorgon, Marek Embedded Vision Systems Group Computer Vision Laboratory Department of Automatic Control and Robotics AGH University of Science and Technology Krakow Poland
In this paper we present a vision based hardware-software control system enabling the autonomous landing of a multirotor unmanned aerial vehicle (UAV). It allows for the detection of a marked landing pa... 详细信息
来源: 评论
Energy Efficient Hardware Acceleration of Neural Networks with Power-of-Two Quantisation
Energy Efficient Hardware Acceleration of Neural Networks wi...
收藏 引用
International Conference on computer vision and Graphics, ICCVG 2022
作者: Przewlocka-Rus, Dominika Kryjak, Tomasz Embedded Vision Systems Group Computer Vision Laboratory Department of Automatic Control and Robotics AGH University of Science and Technology Krakow Poland
Deep neural networks virtually dominate the domain of most modern vision systems, providing high performance at a cost of increased computational complexity. Since for those systems it is often required to operate bot... 详细信息
来源: 评论
Traffic Sign Classification Using Deep and Quantum Neural Networks
Traffic Sign Classification Using Deep and Quantum Neural Ne...
收藏 引用
International Conference on computer vision and Graphics, ICCVG 2022
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 Krakow 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
Efficient background modeling through incremental Support Vector Data Description
Efficient background modeling through incremental Support Ve...
收藏 引用
作者: Tavakkoli, Alireza Nicolescu, Mircea Bebis, George Nicolescu, Monica Computer Vision Laboratory University of Nevada Reno United States Robotics Laboratory University of Nevada Reno United States
Background modeling is an essential and important part of many high-level video processing applications. Recently, the Support Vector Data Description (SVDD) has been introduced for novelty detection when only one cla... 详细信息
来源: 评论