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

371 篇 会议
3 篇 期刊文献
1 册 图书

馆藏范围

375 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

336 篇 工学
- 293 篇 计算机科学与技术...
- 271 篇 控制科学与工程
- 86 篇 电气工程
- 48 篇 软件工程
- 29 篇 光学工程
- 16 篇 机械工程
- 12 篇 仪器科学与技术
- 10 篇 测绘科学与技术
- 8 篇 信息与通信工程
- 5 篇 交通运输工程
- 4 篇 安全科学与工程
- 3 篇 航空宇航科学与技...
- 3 篇 生物工程
- 2 篇 动力工程及工程热...
- 2 篇 建筑学
- 2 篇 土木工程
- 1 篇 电子科学与技术（可...
- 1 篇 化学工程与技术
- 1 篇 轻工技术与工程
219 篇 理学
- 213 篇 物理学
- 14 篇 数学
- 3 篇 生物学
- 2 篇 化学
- 2 篇 统计学（可授理学、...
- 1 篇 地球物理学
21 篇 管理学
- 21 篇 管理科学与工程(可...
- 2 篇 工商管理
16 篇 医学
- 16 篇 临床医学
2 篇 经济学
- 2 篇 应用经济学
2 篇 教育学
- 2 篇 教育学
1 篇 军事学

主题

68 篇 machine vision
55 篇 computer vision
41 篇 robot vision
38 篇 robots
37 篇 computer vision ...
35 篇 image processing
32 篇 mobile robots
31 篇 intelligent robo...
24 篇 robotics
21 篇 image segmentati...
17 篇 cameras
17 篇 object recogniti...
16 篇 stereo vision
15 篇 active vision
15 篇 navigation
15 篇 sensors
14 篇 visualization
12 篇 igvc
10 篇 visual process m...
10 篇 robot vision sys...

机构

21 篇 univ cincinnati ...
6 篇 univ detroit mer...
4 篇 univ. of cincinn...
3 篇 caltech jet prop...
3 篇 tianjin univ sta...
3 篇 us army tardec w...
3 篇 brigham young un...
3 篇 tardec warren mi...
3 篇 tianjin normal u...
3 篇 tianjin univ tec...
3 篇 corrsys gmbh
3 篇 univ of cincinna...
3 篇 univ saskatchewa...
2 篇 csem zurich ctr ...
2 篇 univ quebec ecol...
2 篇 corrsys datron s...
2 篇 brigham young un...
2 篇 univ vaasa dept ...
2 篇 department of co...
2 篇 vtt automation

作者

17 篇 hall el
9 篇 lauinger n
8 篇 theisen bernard ...
7 篇 lee dah-jye
7 篇 paulik mark
7 篇 roning juha
7 篇 krishnan mohan
7 篇 hall e
6 篇 feng weijia
5 篇 schenker ps
5 篇 liao xq
5 篇 luo chaomin
5 篇 zhang baofeng
4 篇 cao m
4 篇 hall ernest l.
4 篇 tippetts beau
4 篇 zong xiaoning
4 篇 hall ernest
3 篇 lyons damian m.
3 篇 viitanen j

语言

369 篇 英文
4 篇 中文
2 篇 其他

检索条件"任意字段=Conference on Intelligent Robots and Computer Vision XXVIII: Algorithms and Techniques"

共 375 条记录，以下是311-320 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：

A target detection method in multimodal images with complex backgrounds and different views

A target detection method in multimodal images with complex ...

引用

IS&T/SPIE Electronic Imaging

作者： He, Zhixiang Ding, Xiaoqing State Key Laboratory of Intelligent Technology and Systems Department of Electronic Engineering Tsinghua University Beijing 100084 China

ISBN: (纸本)9780819484154

Target detection in multimodal (multisensor) images is a difficult problem especially with the impact of different views and the complex backgrounds. In this paper, we propose a target detection method based on ground region matching and spatial constraints to solve it. First, the extrinsic parameters of camera are used to transform the images to reduce the impact of viewpoints differences. Then the stable ground object regions are extracted by MSER. Those regions are used to build a graph model to describe the reference image with spatial constraints to reduce the impact of multimodal and complex backgrounds. At last, the ground region matching and the model registration with sensed images are used to find the target. Using this method, we overcome those difficulties and obtain a satisfied experiment result;the final detection rate is 94.34% in our data set of visible reference images in top views and infrared sensed images in side views. © 2011 SPIE-IS&T.

关键词： Graph theory

来源：评论

学校读者我要写书评

暂无评论

Automatic restoration of underwater monocular sequences of images

Automatic restoration of underwater monocular sequences of i...

引用

IEEE/RSJ International conference on intelligent robots and Systems, IROS 2015

作者： Drews, Paulo Nascimento, Erickson R. Campos, Mario F. M. Elfes, Alberto Department of Computer Science of the Universidade Federal de Minas Gerais - UFMG Belo Horizonte Brazil Paulo Drews-Jr is Also with Centro de Ciências Computacionais- C3 Univ. Federal Do Rio Grande - FURG Rio Grande Brazil Autonomous System Program - ASP CSIRO Pullenvale Australia

ISBN: (纸本)9781479999941

Underwater environments present a considerable challenge for computer vision, since water is a scattering medium with substantial light absorption characteristics which is made even more severe by turbidity. This poses significant problems for visual underwater navigation, object detection, tracking and recognition. Previous works tackle the problem by using unreliable priors or expensive and complex devices. This paper adopts a physical underwater light attenuation model which is used to enhance the quality of images and enable the applicability of traditional computer vision techniques images acquired from underwater scenes. The proposed method simultaneously estimates the attenuation parameter of the medium and the depth map of the scene to compute the image irradiance thus reducing the effect of the medium in the images. Our approach is based on a novel optical flow method, which is capable of dealing with scattering media, and a new technique that robustly estimates the medium parameters. Combined with structure-from-motion techniques, the depth map is estimated and a model-based restoration is performed. The method was tested both with simulated and real sequences of images. The experimental images were acquired with a camera mounted on a Remotely Operated Vehicle (ROV) navigating in a naturally lit, shallow seawater. The results show that the proposed technique allows for substantial restoration of the images, thereby improving the ability to identify and match features, which in turn is an essential step for other computer vision algorithms such as object detection and tracking, and autonomous navigation. © 2015 IEEE.

关键词： Image enhancement

来源：评论

学校读者我要写书评

暂无评论

3D robot perception with Point Cloud Library

引用

ROBOTICS AND AUTONOMOUS SYSTEMS 2016年 78卷 97-99页

作者： Munaro, Matteo Rusu, Radu B. Menegatti, Emanuele Univ Padua Sch Engn Dept Informat Engn DEI Intelligent Autonomous Syst Lab Via Gradenigo 6-a I-35131 Padua Italy Open Percept Inc 68 Willow Rd Menlo Pk CA 94025 USA

来源：评论

学校读者我要写书评

暂无评论

Teaching robots to Predict Human Motion

Teaching Robots to Predict Human Motion

引用

25th IEEE/RSJ International conference on intelligent robots and Systems (IROS)

作者： Gui, Liang-Yan Zhang, Kevin Wang, Yu-Xiong Liang, Xiaodan Moura, Jose M. F. Veloso, Manuela Carnegie Mellon Univ Dept Elect & Comp Engn Pittsburgh PA 15213 USA Carnegie Mellon Univ Inst Robot Pittsburgh PA 15213 USA Carnegie Mellon Univ Machine Learning Dept Pittsburgh PA 15213 USA

ISBN: (纸本)9781538680940

Teaching a robot to predict and mimic how a human moves or acts in the near future by observing a series of historical human movements is a crucial first step in human-robot interaction and collaboration. In this paper, we instrument a robot with such a prediction ability by leveraging recent deep learning and computer vision techniques. First, our system takes images from the robot camera as input to produce the corresponding human skeleton based on real-time human pose estimation obtained with the OpenPose library. Then, conditioning on this historical sequence, the robot forecasts plausible motion through a motion predictor, generating a corresponding demonstration. Because of a lack of high-level fidelity validation, existing forecasting algorithms suffer from error accumulation and inaccurate prediction. Inspired by generative adversarial networks (GANs), we introduce a global discriminator that examines whether the predicted sequence is smooth and realistic. Our resulting motion GAN model achieves superior prediction performance to state-of-the-art approaches when evaluated on the standard H3.6M dataset. Based on this motion GAN model, the robot demonstrates its ability to replay the predicted motion in a human-like manner when interacting with a person.

关键词： robots Gallium nitride Generative adversarial networks Predictive models Cameras Skeleton Decoding

来源：评论

学校读者我要写书评

暂无评论

Path planning for mobile robot using sonar map and neural network

Path planning for mobile robot using sonar map and neural ne...

引用

Proceedings of the 1998 conference on intelligent robots and computer vision XVII: algorithms, techniques, and Active vision

作者： Cao, Jin Chiang, Wen-chuan Mundhenk, T.Nathan Halls, Ernest L. Univ of Cincinnati Cincinnati United States

The purpose of this paper is to present a new approach for path planing of a mobile robot in static outdoor environments. A simple sensor model is developed for fast acquisition of environment information. The obstacle avoidance system is based on a micro-controller interfaced with multiple ultrasonic transducers with a rotating motor. Using sonar readings and environment knowledge, a local map based on weight evaluation function is built for the robot path planing. The path planner finds the local optimal path using the A* search algorithm. The robot is trained to learn a goal-directed task under adequate supervision. The simulation experiments show that a robot, utilizing our neural network scheme, can learn tasks of obstacle avoidance in the work space of a certain geometrical complexity. The result shows that the proposed algorithm can be efficiently implemented in an outdoor environment.

关键词： Mobile robots

来源：评论

学校读者我要写书评

暂无评论

Range detection for AGV using a rotating sonar sensor

Range detection for AGV using a rotating sonar sensor

引用

Proceedings of the 1998 conference on intelligent robots and computer vision XVII: algorithms, techniques, and Active vision

作者： Chiang, Wen-chuan Ramamurthy, Dhyana Chandra Mundhenk, T.Nathan Hall, Ernest L. Univ of Cincinnati Cincinnati OH United States

A single rotating sonar element is used with a restricted angle of sweep to obtain readings to develop a range map for the unobstructed path of an autonomous guided vehicle (AGV). A Polaroid ultrasound transducer element is mounted on a micromotor with an encoder feedback. The motion of this motor is controlled using a Galil DMC 1000 motion control board. The encoder is interfaced with the DMC 1000 board using an intermediate IMC 1100 break-out board. By adjusting the parameters of the Polaroid element, it is possible to obtain range readings at known angles with respect to the center of the robot. The readings are mapped to obtain a range map of the unobstructed path in front of the robot. The idea can be extended to a 360 degree mapping by changing the assembly level programming on the Galil Motion control board. Such a system would be compact and reliable over a range of environments and AGV applications.

关键词： computer vision

来源：评论

学校读者我要写书评

暂无评论

Reexamining Indoor Mobile robots from a Cognitive Perspective 5

Reexamining Indoor Mobile Robots from a Cognitive Perspectiv...

引用

5th International conference on Robotics and computer vision, ICRCV 2023

作者： Song, Fei Li, Jinyu Tang, Fengzhen Tang, Yandong Si, Bailu State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang China University of Chinese Academy of Sciences Beijing China School of Systems Science Beijing Normal University Beijing China

ISBN: (纸本)9798350326369

The field of traditional mobile robot navigation has undergone a gradual transformation, evolving into a standardized and procedural research domain. Through a fresh cognitive perspective on this navigation process, a bridge emerges between robotic researchers and cognitive neuroscientists, thereby fostering the growth of interdisciplinary exploration. This article meticulously examines three pivotal phases of robot navigation: information acquisition, simultaneous localization and mapping (SLAM), and path planning. These phases are intricately linked to pertinent cognitive research. Furthermore, a comprehensive survey of existing biomimetic and neuromorphic algorithms is presented, highlighting their applications in augmenting robot navigation capabilities. Ultimately, this article charts a visionary course for the future of robot navigation, envisioning its potential in facilitating more intelligent and efficient navigation techniques. © 2023 IEEE.

关键词： Navigation

来源：评论

学校读者我要写书评

暂无评论

Fast 3D object reconstruction using trinocular vision and structured light

Fast 3D object reconstruction using trinocular vision and st...

引用

Proceedings of the 1998 conference on intelligent robots and computer vision XVII: algorithms, techniques, and Active vision

作者： Hamdan, H.M. Hemayed, E.E. Farag, A.A. Univ of Louisville Louisville United States

For faithful 3-D reconstruction of objects with smooth surfaces, stereo vision techniques rely heavily on the surface texture. However, most of the real life objects lack this feature. To `sharpen' the textural content of visual surfaces, a structured-light sensing configuration has been used. This technique can be used to enhance the features used in solving the correspondence problem in computational stereo vision. A light pattern is projected to encode the smooth surface of the object. The observed light pattern is then used to compute surface properties. We present a simple design for a trinocular vision system with structured light using off-the-shelf components. The processing pipeline of the system consists of four stages. First, the light pattern is detected in the captured images. Second, the pattern is skeletonized using connected component labeling. Third, a maximum-weighted bipartite technique is used to do the matching. Finally, a global surface fitting technique is used to integrate the reconstruction from different views in one frame and fit a mesh of triangles to the integrated data. Results using real images are promising. The advantages of this system lie in its design simplicity, low cost and the potential for fast and parallel implementation.

关键词： computer vision

来源：评论

学校读者我要写书评

暂无评论

3D vision for Precision Dairy Farming 6th

3D Vision for Precision Dairy Farming

引用

6th International-Federation-of-Automatic-Control (IFAC) conference on Sensing, Control and Automation Technologies for Agriculture (AGRICONTROL)

作者： O'Mahony, Niall Campbell, Sean Carvalho, Anderson Krpalkova, Lenka Riordan, Daniel Walsh, Joseph Inst Technol Tralee IMaR Res Ctr Tralee Co Kerry Ireland

3D vision systems will play an important role in next-generation dairy farming due to the sensing capabilities they provide in the automation of animal husbandry tasks such as the monitoring, herding, feeding, milking and bedding of animals This paper will review 3D computer vision systems and techniques that are and may be implemented in Precision Dairy Farming. This review will include evaluations of the applicability of Time of Flight and Streoscopic vision systems to agricultural applications as well as a breakdown of the categories of computer vision algorithms which are being explored in a variety of use cases. These use cases range from robotic platforms such as milking robots and autonomous vehicles which must interact closely and safely with animals to intelligent systems which can identify dairy cattle and detect deviations in health indicators such as Body Condition Score and Locomotion Score. Upon analysis of each use case, it is apparent that systems which can operate in unconstrained environments and adapt to variations in herd characteristics, weather conditions, farmyard layout and different scenarios in animal-robot interaction are required. Considering this requirement, this paper proposes the application of techniques arising from the emerging field of research in Artificial Intelligence that is Geometric Deep Learning. (C) 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Automation and Robotics in Agriculture Sensing and Automation in Animal Fanning

来源：评论

学校读者我要写书评

暂无评论

Indoor Scene Recognition based on Weighted Voting Schemes

Indoor Scene Recognition based on Weighted Voting Schemes

引用

European conference on Mobile robots (ECMR)

作者： Hernandez, Alejandra C. Gomez, Clara Derner, Erik Barber, Ramon Carlos III Univ Madrid Dept Syst Engn & Automat Robot Lab Madrid Spain Czech Tech Univ Czech Inst Informat Robot & Cybernet Prague Czech Republic Czech Tech Univ Fac Elect Engn Dept Control Engn Prague Czech Republic

ISBN: (纸本)9781728136059

Scene understanding represents one of the most primary problems in computer vision. It implies the full knowledge of all the elements of the environment and the comprehension of the relationships between them. One of the major tasks in this process is the scene recognition, on which we focus in this work. Scene recognition is a relevant and helpful task in many robotic fields such as navigation, localization, manipulation, among others. The knowledge of the place (e.g. "office", "classroom" or "kitchen") can improve the performance of robots in indoor environments. This task can be difficult because of the variability, ambiguity, illumination changes, occlusions and scale variability present in this type of spaces. Commonly, this problem has been approached through the development of models based on local and global characteristics, incorporating context information and, more recently, using deep learning techniques. In this paper, we propose a multi-classifier model for scene recognition considering as priors the outcomes of independent base classifiers. We implement a weighted voting scheme based on genetic algorithms for the combination of different classifiers in order to improve the recognition performance. The results have proved the validity of our approach and how the proper combination of independent classifier models makes it possible to find a better and more efficient solution for the scene recognition problem.

关键词： Scene recognition multi-classification scene understanding mobile robots genetic algorithms

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38页 << < 28 29 30 31 32 33 34 35 36 37 > >>

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：