检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

1,265 篇 会议
22 册 图书
11 篇 期刊文献

馆藏范围

1,298 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

746 篇 工学
- 589 篇 计算机科学与技术...
- 470 篇 软件工程
- 377 篇 光学工程
- 367 篇 控制科学与工程
- 159 篇 机械工程
- 159 篇 信息与通信工程
- 142 篇 生物工程
- 78 篇 电气工程
- 58 篇 交通运输工程
- 57 篇 生物医学工程（可授...
- 47 篇 安全科学与工程
- 46 篇 石油与天然气工程
- 42 篇 力学（可授工学、理...
- 42 篇 仪器科学与技术
- 41 篇 材料科学与工程（可...
- 38 篇 电子科学与技术（可...
- 35 篇 网络空间安全
- 33 篇 土木工程
- 29 篇 动力工程及工程热...
- 26 篇 建筑学
490 篇 理学
- 393 篇 物理学
- 146 篇 生物学
- 96 篇 数学
167 篇 管理学
- 134 篇 管理科学与工程(可...
- 48 篇 工商管理
- 38 篇 图书情报与档案管...
46 篇 医学
- 39 篇 临床医学
- 29 篇 基础医学(可授医学...
28 篇 农学
- 28 篇 作物学
17 篇 经济学
16 篇 法学
12 篇 教育学
6 篇 文学
3 篇 军事学

主题

225 篇 computer vision
35 篇 deep learning
34 篇 object detection
34 篇 cameras
34 篇 machine vision
29 篇 robot vision sys...
21 篇 artificial intel...
16 篇 machine learning
16 篇 accuracy
14 篇 visualization
14 篇 control, robotic...
14 篇 image processing
13 篇 binocular vision
13 篇 robotics
13 篇 quality control
12 篇 convolutional ne...
11 篇 computational in...
11 篇 communications e...
11 篇 training
10 篇 internet of thin...

机构

9 篇 university of ch...
9 篇 college of intel...
7 篇 beijing hiwing s...
7 篇 unmanned system ...
7 篇 nanjing universi...
5 篇 computer vision ...
5 篇 rajiv gandhi ins...
5 篇 school of comput...
5 篇 shenzhen interna...
5 篇 school of mechan...
4 篇 pimpri chinchwad...
4 篇 college of engin...
4 篇 college of infor...
4 篇 school of automa...
4 篇 school of gradua...
4 篇 apj abdul kalam ...
4 篇 hefei university...
4 篇 rajiv gandhi ins...
4 篇 department of co...
4 篇 harbin institute...

作者

7 篇 yifeng niu
7 篇 wenxing fu
7 篇 mancang gu
7 篇 yi qu
5 篇 sreeni k.g.
5 篇 anurenjan p.r.
5 篇 zhang yi
4 篇 md. rifat hazari
4 篇 tao jiang
4 篇 kumar ankit
4 篇 hong zhang
4 篇 lin xu
4 篇 wang yu
4 篇 fan zhun
4 篇 xueqian wang
4 篇 kryjak tomasz
3 篇 zhang lei
3 篇 li he
3 篇 singh kamred udh...
3 篇 abir ahmed

语言

1,271 篇 英文
27 篇 其他
3 篇 中文

检索条件"任意字段=2023 International Conference on Robotics, Control and Vision Engineering, RCVE 2023"

共 1298 条记录，以下是51-60 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

An Integration of a Neural-Network-Based Computer vision Model and a 2-DOF Object Tracker Robot 11

An Integration of a Neural-Network-Based Computer Vision Mod...

引用

11th RSI international conference on robotics and Mechatronics, ICRoM 2023

作者： Azimi, Mohammad Gharekhani, Ali Ebadollahi, Saeed Iran University of Science and Technology Faculty of Electrical Engineering Department of Control Tehran Iran

ISBN: (纸本)9798350308105

This paper presents a system for object tracking that integrates a neural-network-based computer vision model and a 2-DOF robot. The system consists of two main parts: the first part detects objects in the environment and enables the user to select a target for tracking, while the second part establishes a control loop and tracks the selected target using a PID controller. The system uses Yolo neural network for object detection and StrongSort neural network for sorting and assigning IDs to objects. Two methods are proposed for distinguishing the target right before beginning the control loop phase: Landmark-Based Identification (LBI) and Feature-Based Identification. LBI detects a specific and unique sign in the environment to locate the target, while Feature-Based Identification utilizes the StrongSort neural network to extract features of detected objects and compares them to match the desired target. Finally, the tracking procedure begins with the help of StrongSort model and the system calculates the position of the target, generates a control signal to track it even if it's moving. This system demonstrates the potential of integrating advanced technologies for object tracking applications. © 2023 IEEE.

关键词： Feature extraction

来源：评论

学校读者我要写书评

暂无评论

Overview of Synthetic Data Generation for Computer vision in Industry 8

Overview of Synthetic Data Generation for Computer Vision in...

引用

8th international conference on Mechanical engineering and robotics Research, ICMERR 2023

作者： Nandakumar, Nishanth Eberhardt, Jorg Ravensburg-Weingarten University of Applied Sciences Institute for Photonic Systems Weingarten Germany

ISBN: (纸本)9798350330519

The introduction of Industrial Artificial Intelligence led us to adopt a variety of innovative technologies that add value to the product's life cycle. One such breakthrough is computer vision-based quality inspection of manufactured products. The main challenge with implementing computer vision in industry is that of a shortage of dataset for training the neural networks. The main objective of this study is to provide an overview of the various methods available for synthetic data generation that can be utilized by industries. We emphasize on flexible production systems that produce unique products every time. The performance of an Object Detection model trained on real and synthetic datasets is used to validate one of the approaches. © 2023 IEEE.

关键词： Object detection

来源：评论

学校读者我要写书评

暂无评论

Research on automatic alignment system of H-pillar assembly equipment of high-speed railway catenary based on visual guidance 9

Research on automatic alignment system of H-pillar assembly ...

引用

9th international conference on Energy Materials and Electrical engineering, ICEMEE 2023

作者： Zhang, Yaqiang Ding, Huanhuan Li, Junwei Cssc Haiwei Tech Co. Ltd. Henan Zhengzhou450000 China

ISBN: (纸本)9781510672765

In the traditional sense, the assembly and installation of OCS pillars is carried out by manual hoisting, which requires a lot of manpower to bind the pillars, manually assist the alignment, unbind the pillars and other installation operations. There are some problems in the operation process, such as poor safety, low efficiency, high labor cost, high risk of high-altitude operation and so on. This paper presents a system of automatic alignment guided by binocular vision, which improves the construction process of high-speed railway catenary, improves the work efficiency and reduces the operation risk. This system is equipped with a binocular vision camera and customized specific targets for position difference calibration and guidance, and motion control is achieved through high-precision, multi degree of freedom robotic arms, thereby achieving automatic alignment and installation function. On the one hand, it has improved the reliability and automation level of the installation of the H-shaped pillar assembly of the high-speed rail contact system, and on the other hand, it provides strong support for the construction of intelligent high-speed rail and high-quality high-speed rail, which has profound significance. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Assembly equipment Automatic alignment Binocular vision control systems robotics Visualization Motion controllers Cameras Calibration Imaging systems

来源：评论

学校读者我要写书评

暂无评论

Shared 3D Robotic Arm control Based on Intracortical Brain-Computer Interface and Computer vision

Shared 3D Robotic Arm Control Based on Intracortical Brain-C...

引用

2024 IEEE international conference on robotics and Biomimetics, ROBIO 2024

作者： Liu, Liyang Yu, Shanshan Chen, Long Mo, Lifen Guo, Zheshan Wang, Xiao Gao, Fei Liang, Fengyan Liao, Wei-Hsin Yin, Ming School of Biomedical Engineering Hainan University Laboratory of Biomedical Engineering of Hainan Province Sanya China Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen China The Chinese University of Hong Kong Department of Mechanical and Automation Engineering Shatin Hong Kong

ISBN: (纸本)9781665481090

Brain-computer interfaces (BCIs) convert neuronal activity into commands for controlling external devices. For example, a paralyzed patient can use BCI to control a robotic arm to drink water. However, employing intracortical brain-computer interfaces (iBCIs) to control robotic arm movements and various daily grasping tasks in a three-dimensional (3D) environment faces significant challenges. The degree of freedom (DoF) decoded from iBCI signals often falls short of the requirements for effective control of robotic arm & hand in daily activities. This study proposes a shared robotic arm control system for iBCIs. The system employs spike signals to control the robotic arm move into left or right direction. The integrated computer vision (CV) identifies the position, size, and category of the objects, facilitating more precise grasping. At last, movement direction decoding based on eight neural units achieved a classification accuracy of 93.1%, with a five-fold cross-validation error rate of 19.8%. The iBCI and CV sharedly control the robotic arm to grasp eight objects of different kinds and shapes, positioned at different locations. Furthermore, the shared control system has been validated through an online grasping experiment on a macaque. Results demonstrated the feasibility of generating practical multidimensional control of a robotic arm by merging iBCI and CV-based recognition. © 2024 IEEE.

关键词： Robotic arms

来源：评论

学校读者我要写书评

暂无评论

Developing of Automatic Gasket Gluing Robot for a Tractor Company 9

Developing of Automatic Gasket Gluing Robot for a Tractor Co...

引用

9th international conference on Mechatronics and robotics engineering (ICMRE)

作者： Plengkham, Suphanut Busyakanistha, Natchapon Promsuwan, Nathanicha Santiudommongkol, Nattanan Chancharoen, Ratchatin Chulalongkorn Univ Dept Mech Engn Bangkok Thailand Chulalongkorn Univ Fac Engn Dept Mech Engn Bangkok Thailand

ISBN: (纸本)9781665463263

Humans are still the primary laborer to apply gasket glue on the brake cases and inspect the tractor's assembly quality in the tractor factory, Siam Kubota Corporation Company Limited. Because working with manual labor still has human errors, the researchers desire to improve the process by using image processing technology and automation to build a machine vision to control the gluing quality on the brake cases and the assembly inspection. For the automatic glue extrusion, a cartesian robot was chosen. The image processing technology was also used to indicate an initial point to start applying glue, and G-code was used to control the robot to move along the designed path on the brake case. Then the glue extrusion robot was tested with two experiments: applying the glue on the sample, which has a surface like the real brake case called Sample 1, to evaluate the performance of the image processing and using the glue on the printed image of the brake case called Sample 2 to determine the performance of the robot in terms of accuracy and precision. This has resulted in the deviation of the gluing distance error process at a 95% confidence interval got;the mean dimension on the actual surface Sample 1 is 0.73 +/- 0.04 mm width and 0.72 +/- 0.27 height, and the performance of the robot within the exact surface dimension Sample 2 has a mean distance of 1.04 +/- 0.1 width and 1.06 +/- 0.20 height.

关键词： machine vision image processing automatic glue extrusion G-code vision sensor cartesian robot

来源：评论

学校读者我要写书评

暂无评论

Single-camera multi-point vision: On the use of robotics for digital image correlation 16

Single-camera multi-point vision: On the use of robotics for...

引用

16th international conference on Quality control by Artificial vision

作者： Vitse, Matthieu Chang, Xuyang Roux, Stephane Universite Paris-Saclay CentraleSupelec ENS Paris-Saclay CNRS LMPS-Laboratoire de Mecanique Paris-Saclay Gif-sur-Yvette91190 France Focale Expertise Paris France

ISBN: (数字)9781510667471

ISBN: (纸本)9781510667464

We introduce in this paper a novel approach for the design of buckling tests for which the deformation of the sampled is studied using one single camera mounted on a six-Axis robot arm. This setup allows to pre-determine multiple configurations of deformation of the sample using a virtual model of the experiment. The question of the calibration of the digital camera parameters is also studied, introducing a 3D target containing CharUco boards. Early results are given. © 2023 SPIE. All rights reserved.

关键词： Image correlation

来源：评论

学校读者我要写书评

暂无评论

Target Detection and Position Measurement Based on Machine vision for AGV 8

Target Detection and Position Measurement Based on Machine V...

引用

8th international conference on Automation, control and robotics engineering, CACRE 2023

作者： Zhang, Guiyang Zhu, Lingyu Ji, Siyu Wu, Xu Suzhou Tztek Technology Company Limited School of Mechanical Engineering Changshu Institute of Technology Optical Measurement Center Suzhou215500 China Changshu Institute of Technology School of Mechanical Engineering Suzhou215500 China East China Normal University Software Engineering Institute Shanghai200062 China

ISBN: (纸本)9798350302776

This paper proposes a strategy based on cooperative target to realize automatic guided vehicle (AGV) terminal detection and position measurement. Firstly, the enhanced YOLOv3 algorithm based on cross layer connection is employed to detect the interest area of the marker points, upon which more refined local features are restored to improve the adaptability to small targets. Then, a high-precision 3D reconstruction with the aid of the ellipse center coordinates is demonstrated to ensure the reliability and avoid the loss of targets due to the failure of landmarks caused by environmental factors. The experimental results revealed that the positioning accuracy error is less than 1.5mm and the misrecognition rate is superior to 1% whilst the AGV is within 5m from the target. Consequently, the proposed approach has the crucial application in rapid and stable AGV terminal vision positioning. © 2023 IEEE.

关键词： Automatic guided vehicles

来源：评论

学校读者我要写书评

暂无评论

Design of Target Tracking Ball Gear Pan-Tilt System Based on Machine vision 2

Design of Target Tracking Ball Gear Pan-Tilt System Based on...

引用

2nd international Symposium on control engineering and robotics, ISCER 2023

作者： Gu, Weichong Huang, Tingbo Zhao, Lei Wu, Zhilin Zhou, Zhihui School of Mechanical Engineering Nanjing University of Science and Technology Nanjing China Research & Development Centre Jiangsu Airship Co Ltd. Taizhou China

ISBN: (纸本)9798350336405

The trend of intelligent and unmanned industries benefited from the rapid development of information technology is more and more obvious. The unmanned combat platform has become a new combat force in anti-terrorism operations, relying on sensor, machine vision, communication, information fusion and other technologies. A design scheme of pan-tilt target tracking system based on machine vision is proposed here for the visual perception requirements of unmanned combat platform. A combination of YOLOv4-tiny and DeepSORT is used to identify and track personnel with cameras mounted on ball gears. When the target moves to the edge of view, the position information will be sent to the control circuit through serial communication, and the camera will be adjusted with the PID control algorithm to keep the target in the center of view. The experimental results showed that this system can achieve target tracking effectively in real time and the tracking success rate can reach 80% by optimizing with K-Means++ algorithm and PID controller. © 2023 IEEE.

关键词： Computer vision

来源：评论

学校读者我要写书评

暂无评论

Agile vision Perception and control Algorithm for Flexible Manufacturing Manipulator System

Agile Vision Perception and Control Algorithm for Flexible M...

引用

2023 IEEE international conference on robotics and Biomimetics, ROBIO 2023

作者： Yuan, Kang Zhang, Xuegang Yan, Li Liu, Hao University of Science and Technology of China School of Information Science and Technology Anhui Hefei China Shanghai University Shanghai China Electronics Technology Co. Ltd. Anhui Hefei China

ISBN: (纸本)9798350325706

The manipulator systems with vision perception play an import role in intelligent manufacturing, helping to achieve industrial automation production. However, the electronics manufacturing industry, especially in scenarios such as consumer electronics manufacturing, has a strong demand for flexible manufacturing. The traditional calibration methods for vision perception require manual operation, customized calibration objects and their world-frame coordinates, which cannot meet the requirements of flexible production. Therefore, a novel agile vision calibration, perception and control algorithm is designed to meet flexible manufacturing requirements in the paper. The proposed algorithm receives vision pixel raw information as unique input, derives calibration matrix and manipulator control target pose automatically. The algorithm is adapted for both eye-in-hand and eye-on-hand vision sensor, and the theoretical analysis shows that the calibration algorithm has no manual operation errors. Experimental verification shows that the designed calibration algorithm in this article is simpler to operate, has fewer sources of error, easier to control, and has higher calibration accuracy than traditional calibration algorithms, while meeting the requirements of flexible manufacturing. © 2023 IEEE.

关键词：

来源：评论

学校读者我要写书评

暂无评论

A Cross modal Image and Text Retrieval Method for OpenKylin

A Cross modal Image and Text Retrieval Method for OpenKylin

引用

2023 international conference on Frontiers of robotics and Software engineering, FRSE 2023

作者： Zhang, Jin Xie, Xin Liu, Xiaodong Yu, Jie Peng, Long Wang, Wenzhu Zhang, Pengfei Lan, Yue Zhang, Chao Changsha University of Science and Technology College of Computer and Communication Engineering Changsha China National University of Defense Science and Technology School of Computer Science Changsha China Haihe Lab of Itai Tianjin China Kylin Software Tianjin China

ISBN: (纸本)9798350301113

With the rapid development of computer vision and natural language processing, there is an increasing demand for cross-modal retrieval (CMR) from users. The domestic operating system, openKylin, plays a key role in promoting domestic operating systems. It enriches the operating system functions with secure and trusted operation technology as the core. It is of great practical significance to integrate the field of computer vision into the domestic operating system. A graph retrieval method based on OpenKylin is proposed to enhance the functionality of searching graphs using text. This paper begins with a review of relevant domestic and international research on this technology. It then provides details on the design and implementation process, and concludes by demonstrating the final implementation results. The actual operational results demonstrate that the method is characterized by both high performance and high accuracy. © 2023 IEEE.

关键词： Computer vision

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共130页 << < 2 3 4 5 6 7 8 9 10 11 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：