咨询与建议

限定检索结果

文献类型

  • 154 篇 期刊文献
  • 135 篇 会议
  • 4 册 图书

馆藏范围

  • 293 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 182 篇 工学
    • 118 篇 计算机科学与技术...
    • 103 篇 软件工程
    • 56 篇 控制科学与工程
    • 47 篇 光学工程
    • 43 篇 生物工程
    • 40 篇 信息与通信工程
    • 33 篇 生物医学工程(可授...
    • 20 篇 电气工程
    • 16 篇 电子科学与技术(可...
    • 13 篇 机械工程
    • 13 篇 仪器科学与技术
    • 12 篇 动力工程及工程热...
    • 12 篇 交通运输工程
    • 8 篇 力学(可授工学、理...
    • 8 篇 化学工程与技术
    • 7 篇 土木工程
    • 7 篇 安全科学与工程
  • 117 篇 理学
    • 48 篇 生物学
    • 47 篇 数学
    • 42 篇 物理学
    • 16 篇 统计学(可授理学、...
    • 8 篇 化学
  • 37 篇 管理学
    • 21 篇 图书情报与档案管...
    • 18 篇 管理科学与工程(可...
    • 10 篇 工商管理
  • 24 篇 医学
    • 23 篇 临床医学
    • 22 篇 基础医学(可授医学...
    • 14 篇 药学(可授医学、理...
    • 7 篇 公共卫生与预防医...
  • 8 篇 农学
  • 7 篇 法学
    • 7 篇 社会学
  • 3 篇 经济学
  • 2 篇 教育学
  • 1 篇 文学
  • 1 篇 军事学
  • 1 篇 艺术学

主题

  • 15 篇 cameras
  • 15 篇 intelligent robo...
  • 12 篇 robot sensing sy...
  • 12 篇 feature extracti...
  • 12 篇 computer vision
  • 11 篇 trajectory
  • 11 篇 robot vision sys...
  • 10 篇 computer science
  • 10 篇 image segmentati...
  • 9 篇 mobile robots
  • 8 篇 pixel
  • 8 篇 image edge detec...
  • 8 篇 robustness
  • 7 篇 object detection
  • 7 篇 artificial intel...
  • 7 篇 robot kinematics
  • 7 篇 training
  • 6 篇 deep learning
  • 6 篇 robots
  • 6 篇 system-on-chip

机构

  • 14 篇 embedded vision ...
  • 7 篇 embedded vision ...
  • 7 篇 intelligent robo...
  • 7 篇 heidelberg
  • 6 篇 centre for medic...
  • 6 篇 department of co...
  • 6 篇 faculty of mathe...
  • 5 篇 department of qu...
  • 5 篇 computer vision ...
  • 5 篇 ihu strasbourg s...
  • 5 篇 shenzhen institu...
  • 5 篇 university of ch...
  • 5 篇 ural federal uni...
  • 4 篇 computer vision ...
  • 4 篇 heidelberg divis...
  • 4 篇 department of co...
  • 4 篇 intelligent robo...
  • 4 篇 heidelberg divis...
  • 4 篇 centre for intel...
  • 4 篇 fraunhofer mevis...

作者

  • 24 篇 kryjak tomasz
  • 9 篇 puig domenec
  • 7 篇 bakas spyridon
  • 7 篇 szolc hubert
  • 7 篇 domenec puig
  • 6 篇 reinke annika
  • 6 篇 ma jun
  • 6 篇 shen linlin
  • 6 篇 menze bjoern
  • 6 篇 blachut krzyszto...
  • 6 篇 vladimir popov
  • 6 篇 maier-hein lena
  • 6 篇 m.a. garcia
  • 5 篇 godau patrick
  • 5 篇 abdellah chehri
  • 5 篇 reyes mauricio
  • 5 篇 kofler florian
  • 5 篇 kyrki ville
  • 5 篇 eisenmann matthi...
  • 5 篇 garcia miguel an...

语言

  • 282 篇 英文
  • 10 篇 其他
  • 1 篇 中文
检索条件"机构=Intelligent Robotics and Computer Vision Group/Department of Computer Science and Mathematics"
293 条 记 录,以下是21-30 订阅
排序:
Improving texture pattern recognition by integration of multiple texture feature extraction methods
Improving texture pattern recognition by integration of mult...
收藏 引用
16th International Conference on Pattern Recognition, ICPR 2002
作者: Garcia, Miguel Angel Puig, Domènec Intelligent Robotics and Computer Vision Group Department of Computer Science and Mathematics Rovira i Virgili University Av. Països Catalans 26 Tarragona43007 Spain
This paper proposes a pixel-based texture classifier that integrates multiple texture feature extraction methods in order to identify the regions of an input image that belong to a given set of texture patterns. Exper... 详细信息
来源: 评论
Using mobile relays in multi-robot exploration
Using mobile relays in multi-robot exploration
收藏 引用
2011 Australasian Conference on robotics and Automation
作者: De Hoog, Julian Cameron, Stephen Jiménez-González, Adrian De-Dios, J. Ramiro Martínez Ollero, Anibal Department of Computer Science University of Oxford United Kingdom Robotics Vision and Control Group University of Sevilla Spain
Many robotics tasks require autonomous exploration by teams of robots. In difficult or large environments, communication drop-out complicates this task. Several approaches exist that aim to keep the team connected, bu... 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
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
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
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
A Review of Deep Learning Techniques for Glaucoma Detection
收藏 引用
SN computer science 2023年 第3期4卷 274页
作者: Guergueb, Takfarines Akhloufi, Moulay A. Perception Robotics and Intelligent Machines Research Group (PRIME) Computer Science Department Université de Moncton Moncton NB Canada
Glaucoma is one of the major reasons for visual impairment all across the globe. The recent advancements in machine learning techniques have greatly facilitated ophthalmologists in the early diagnosis of ocular diseas... 详细信息
来源: 评论
Supervised texture segmentation through a multi-level pixel-based classifier based on specifically designed filters
Supervised texture segmentation through a multi-level pixel-...
收藏 引用
IEEE International Conference on Image Processing
作者: Jaime Melendez Xavier Girones Domenec Puig Intelligent Robotics and Computer Vision Group Department of Computer Science and Mathematics Rovira i Virgili University Spain
This paper presents a new, efficient technique for supervised texture segmentation based on a set of specifically designed filters and a multi-level pixel-based classifier. Filter design is carried out by means of a n... 详细信息
来源: 评论
Conditional Affordance Learning for Driving in Urban Environments  2
Conditional Affordance Learning for Driving in Urban Environ...
收藏 引用
2nd Conference on Robot Learning, CoRL 2018
作者: Sauer, Axel Savinov, Nikolay Geiger, Andreas Computer Vision and Geometry Group ETH Zürich Switzerland Robotics Science and System Intelligence Technical University of Munich Germany Autonomous Vision Group MPI for Intelligent Systems University of Tübingen Germany
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
Recognizing specific texture patterns by integration of multiple texture methods
Recognizing specific texture patterns by integration of mult...
收藏 引用
IEEE International Conference on Image Processing
作者: D. Puig M.A. Garcia Intelligent Robotics and Computer Vision Group Department of Computer Science and Mathematics Rovira i Virgili University Tarragona Spain
A supervised pixel-based classifier for identifying the presence of a given set of texture patterns of interest in a complex textured image is described. The proposed technique integrates the outcome of multiple textu... 详细信息
来源: 评论