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

83 篇 会议
20 篇 期刊文献

馆藏范围

103 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

65 篇 工学
- 39 篇 控制科学与工程
- 28 篇 计算机科学与技术...
- 23 篇 软件工程
- 9 篇 仪器科学与技术
- 8 篇 机械工程
- 8 篇 生物医学工程（可授...
- 8 篇 生物工程
- 7 篇 信息与通信工程
- 6 篇 建筑学
- 6 篇 化学工程与技术
- 5 篇 电气工程
- 3 篇 土木工程
- 2 篇 光学工程
- 2 篇 石油与天然气工程
- 1 篇 材料科学与工程（可...
- 1 篇 电子科学与技术（可...
- 1 篇 交通运输工程
- 1 篇 船舶与海洋工程
- 1 篇 安全科学与工程
33 篇 理学
- 12 篇 数学
- 10 篇 生物学
- 8 篇 系统科学
- 7 篇 化学
- 6 篇 统计学（可授理学、...
- 5 篇 物理学
9 篇 医学
- 9 篇 临床医学
- 5 篇 基础医学(可授医学...
- 2 篇 药学(可授医学、理...
5 篇 管理学
- 4 篇 管理科学与工程(可...
- 2 篇 图书情报与档案管...

主题

18 篇 mobile robots
9 篇 robot sensing sy...
8 篇 feature extracti...
7 篇 detectors
6 篇 legged locomotio...
6 篇 persons
5 篇 robot
5 篇 cameras
5 篇 robots
5 篇 navigation
5 篇 training
4 篇 task analysis
4 篇 three-dimensiona...
4 篇 neural networks
3 篇 iterative method...
3 篇 tracking
3 篇 lasers
3 篇 semantics
3 篇 home environment
3 篇 histograms

机构

22 篇 neuroinformatics...
11 篇 neuroinformatics...
9 篇 neuroinformatics...
5 篇 metralabs gmbh
5 篇 metralabs gmbh i...
4 篇 ilmenau universi...
3 篇 ilmenau universi...
3 篇 neuroinformatics...
2 篇 school of mathem...
2 篇 neuroinformatics...
2 篇 ilmenau universi...
2 篇 department of ps...
2 篇 neuroinformatics...
2 篇 neuroinformatics...
2 篇 neuroinformatics...
2 篇 honda research i...
2 篇 honda research i...
2 篇 neuroinformatics...
2 篇 computer vision ...
2 篇 powitec intellig...

作者

44 篇 horst-michael gr...
29 篇 gross horst-mich...
11 篇 tim wengefeld
10 篇 daniel seichter
9 篇 groß horst-micha...
9 篇 benjamin lewando...
7 篇 wengefeld tim
7 篇 michael volkhard...
7 篇 steffen müller
6 篇 markus eisenbach
6 篇 eisenbach markus
6 篇 seichter daniel
6 篇 benedict stephan
6 篇 udluft steffen
6 篇 hans alexander
5 篇 christoph weinri...
5 篇 e. einhorn
5 篇 köhler mona
5 篇 h. m. gross
5 篇 volkhardt michae...

语言

103 篇 英文

检索条件"机构=Neuroinformatics and Cognitive Robotics Lab"

共 103 条记录，以下是31-40 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：

Cooperative multi-scale Convolutional Neural Networks for person detection

Cooperative multi-scale Convolutional Neural Networks for pe...

引用

International Joint Conference on Neural Networks (IJCNN)

作者： Markus Eisenbach Daniel Seichter Tim Wengefeld Horst-Michael Gross Ilmenau University of Technology Neuroinformatics and Cognitive Robotics Lab Ilmenau Germany

ISBN: (纸本)9781509006212

Robust person detection is required by many computer vision applications. We present a deep learning approach, that combines three Convolutional Neural Networks to detect people at different scales, which is the first time that a multi-resolution model is combined with deep learning techniques in the pedestrian detection domain. The networks learn features from raw pixel information, which is also rare for pedestrian detection. Due to the use of multiple Convolutional Neural Networks at different scales, the learned features are specific for far, medium, and near scales respectively, and thus, the overall performance is improved. Furthermore, we show, that neural approaches can also be applied successfully for the remaining processing steps of classification and non-maximum suppression. The evaluation on the most popular Caltech pedestrian detection benchmark shows that the proposed method can compete with state of the art methods without using Caltech training data and without fine tuning. Therefore, it is shown that our method generalizes well on domains it is not trained on.

关键词： Image resolution Noise measurement

来源：评论

学校读者我要写书评

暂无评论

User recognition for guiding and following people with a mobile robot in a clinical environment

User recognition for guiding and following people with a mob...

引用

IEEE/RSJ International Conference on Intelligent Robots and Systems

作者： M. Eisenbach A. Vorndran S. Sorge H. M. Gross Neuroinformatics and Cognitive Robotics Lab Ilmenau University of Technology Ilmenau Germany

Rehabilitative follow-up care is important for stroke patients to regain their motor and cognitive skills. We aim to develop a robotic rehabilitation assistant for walking exercises in late stages of rehabilitation. The robotic rehab assistant is to accompany inpatients during their self-training, practicing both mobility and spatial orientation skills. To hold contact to the patient, even after temporally full occlusions, robust user re-identification is essential. Therefore, we implemented a person re-identification module that continuously re-identifies the patient, using only few amount of the robot's processing resources. It is robust to varying illumination and occlusions. State-of-the-art performance is confirmed on a standard benchmark dataset, as well as on a recorded scenario-specific dataset. Additionally, the benefit of using a visual re-identification component is verified by live-tests with the robot in a stroke rehab clinic.

关键词： Feature extraction Legged locomotion Visualization Measurement Detectors Image color analysis

来源：评论

学校读者我要写书评

暂无评论

A Laser Projection System for Robot Intention Communication and Human Robot Interaction

A Laser Projection System for Robot Intention Communication ...

引用

IEEE International Workshop on Robot and Human Communication (ROMAN)

作者： Tim Wengefeld Dominik Höchemer Benjamin Lewandowski Mona Köhler Manuel Beer Horst-Michael Gross Neuroinformatics and Cognitive Robotics Lab Ilmenau University of Technology Ilmenau Germany

ISBN: (数字)9781728160757

ISBN: (纸本)9781728160764

In order to deploy service robots in environments where they encounter and/or cooperate with persons, one important key factor is human acceptance. Hence, information on which upcoming actions of the robot are based has to be made transparent and understandable to the human. However, considering the restricted power resources of mobile robot platforms, systems for visualization not only have to be expressive but also energy efficient. In this paper, we applied the well-known technique of laser scanning on a mobile robot to create a novel system for intention visualization and human-robot-interaction. We conducted user tests to compare our system to a low-power consuming LED video projector solution in order to evaluate the suitability for mobile platforms and to get human impressions of both systems. We can show that the presented system is preferred by most users in a dynamic test setup on a mobile platform.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Appearance-Based 3D Upper-Body Pose Estimation and Person Re-Identification on Mobile Robots

Appearance-Based 3D Upper-Body Pose Estimation and Person Re...

引用

IEEE International Conference on Systems, Man, and Cybernetics

作者： Christoph Weinrich Michael Volkhardt Horst-Michael Gross Neuroinformatics and Cognitive Robotics Lab Ilmenau University of Technology Ilmenau Germany

ISBN: (纸本)9781479906505

In the field of human-robot interaction (HRI), detection, tracking and re-identification of humans in a robot's surroundings are crucial tasks, e. g. for socially compliant robot navigation. Besides the 3D position detection, the estimation of a person's upper-body orientation based on monocular camera images is a challenging problem on a mobile platform. To obtain real-time position tracking as well as upper-body orientation estimations, the proposed system comprises discriminative detectors whose hypotheses are tracked by a Kalman filter-based multi-hypotheses tracker. For appearance-based person recognition, a generative approach, based on a 3D shape model, is used to refine these tracked hypotheses. This model evaluates edges and color-based discrimination from the background. Furthermore, for each person the texture of his or her upper-body is learned and used for person re-identification. When computational resources are limited, the update rate of the model-based optimization reduces itself automatically. Thereby the estimation accuracy decreases, but the system keeps tracking the persons around the robot in real-time. The person's 3D pose is tracked up to a distance of 5.0 meters with an average Euclidean error of 18 cm. The achieved motion independent average upper-body orientation error is 22°. Furthermore, the upper-body texture is learned on-line which allowed a stable person re-identification in our experiments.

关键词： person tracking upper-body pose estimation person re-identification appearance model Persons Mobile robots Robot pose estimation Mobile robot navigation

来源：评论

学校读者我要写书评

暂无评论

Multi-Task Deep Learning for Depth-based Person Perception in Mobile robotics

Multi-Task Deep Learning for Depth-based Person Perception i...

引用

2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

作者： Daniel Seichter Benjamin Lewandowski Dominik Höchemer Tim Wengefeld Horst-Michael Gross Neuroinformatics and Cognitive Robotics Lab Technische Universit¤at Ilmenau Ilmenau Germany

ISBN: (数字)9781728162126

ISBN: (纸本)9781728162133

Efficient and robust person perception is one of the most basic skills a mobile robot must have to ensure intuitive human-machine interaction. In addition to person detection, this also includes estimating various attributes, like posture or body orientation, in order to achieve user-adaptive behavior. However, given limited computing and battery capabilities on a mobile robot, it is inefficient to solve all perception tasks separately, especially when using computationally expensive deep neural networks. Therefore, we propose a multi-task system for person perception, comprising of a fast, depth- based region proposal and an efficient, lightweight deep neural network. Using a single network forward pass, the system simultaneously detects persons, classifies their body postures, and estimates the upper body orientations while retaining almost the same computation time as a single-task network. We describe how to handle a real-world multi-task scenario and conduct an extensive series of experiments in order to compare various network architectures and task weightings. We further show that multi-task learning improves the networks' performance compared to their single-task baselines. For training and evaluation, we combine an existing dataset for orientation estimation and a new, self-recorded dataset, consisting of more than 235,000 depth patches that is made publicly available to the research community.

关键词： Training Neural networks Estimation Network architecture Real-time systems Mobile robots Task analysis

来源：评论

学校读者我要写书评

暂无评论

I'm still watching you: Update on observing a person in a home environment

I'm still watching you: Update on observing a person in a ho...

引用

European Conference on Mobile Robots (ECMR)

作者： Jens Kessler Matthias Schmidt Sandra Helsper Horst-Michael Gross Neuroinformatics and Cognitive Robotics Lab Ilmenau University of Technology Ilmenau Germany

Recently, a mobile robot was enabled to observe persons within their home in an unobtrusive way. This behavior is necessary during the long idle periods of the robot, where the robot has to stay somewhere near the user to be able to recognize new commands and tasks. Particle swarm optimization is used to find an optimal position. In this work, the ongoing progress of our approach is presented with focus on long term, real world capable improvements. Therefore, the online update of a person distribution and an elevation map are introduced. Finally, experiments show the robustness of the found optimal observation position.

关键词： Optimization Robot sensing systems Particle swarm optimization Cameras Mobile robots Density functional theory

来源：评论

学校读者我要写书评

暂无评论

Finding people in home environments with a mobile robot

Finding people in home environments with a mobile robot

引用

European Conference on Mobile Robots (ECMR)

作者： Michael Volkhardt Horst-Michael Gross Neuroinformatics and Cognitive Robotics Lab Ilmenau University of Technology Ilmenau Germany

Mobile robots assisting people in their apartment are subject to recent research efforts. To provide useful services a robot must be aware of the position of the user. Since the sensors of a robot have a limited field-of-view, the user is easily lost once he or she leaves the robot's vicinity. This paper proposes a method to search and locate a person that is distant- probably in another room- by driving through the apartment and checking for people. We apply restrictive as well as computationally expensive detection methods on-demand to verify the hypotheses of a real-time person tracker. Additionally, the search-tour of the robot is guided by an occurrence probability histogram of previous positions of the user. The system has been tested by evaluating accuracy and time the robot needs to find a user in a 3-room scenario.

关键词： Navigation Tracking Robot sensing systems Legged locomotion

来源：评论

学校读者我要写书评

暂无评论

A Multi Modal People Tracker for Real Time Human Robot Interaction

A Multi Modal People Tracker for Real Time Human Robot Inter...

引用

IEEE International Workshop on Robot and Human Communication (ROMAN)

作者： Tim Wengefeld Steffen Müller Benjamin Lewandowski Horst-Michael Gross Neuroinformatics and Cognitive Robotics Lab Technische Universitaet Ilmenau Ilmenau Germany

Tracking people in the surroundings of interactive service robots is a topic of high interest. Even if image based detectors using deep learning techniques have improved the detection rate and accuracy a lot, for robotic applications it is necessary to integrate those detections over time and over the limited ranges of individual sensors into a global model. That data fusion enables a continuous state estimation of people and helps reducing the false decisions taken by individual detectors and increasing the overall range. In this paper, we present a tracking framework with a new distance measure for data association and a proper consideration of individual sensors' accuracies. By means of that, we could deal with high false detection rates of laser-based leg detectors without introducing further heuristics like a background model. The proposed system is compared to other tracking approaches from the state of the art. Furthermore, we present a novel manually annotated benchmark dataset for multi sensor person tracking from a moving robot platform in a guide scenario, which will be made publicly available.

关键词：

来源：评论

学校读者我要写书评

暂无评论

How Object Information Improves Skeleton-based Human Action Recognition in Assembly Tasks

How Object Information Improves Skeleton-based Human Action ...

引用

International Joint Conference on Neural Networks (IJCNN)

作者： Dustin Aganian Mona Köhler Sebastian Baake Markus Eisenbach Horst–Michael Groß Neuroinformatics and Cognitive Robotics Lab Ilmenau University of Technology Ilmenau Germany

As the use of collaborative robots (cobots) in industrial manufacturing continues to grow, human action recognition for effective human-robot collaboration becomes increasingly important. This ability is crucial for cobots to act autonomously and assist in assembly tasks. Recently, skeleton-based approaches are often used as they tend to generalize better to different people and environments. However, when processing skeletons alone, information about the objects a human interacts with is lost. Therefore, we present a novel approach of integrating object information into skeleton-based action recognition. We enhance two state-of-the-art methods by treating object centers as further skeleton joints. Our experiments on the assembly dataset IKEA ASM show that our approach improves the performance of these state-of-the-art methods to a large extent when combining skeleton joints with objects predicted by a state-of-the-art instance segmentation model. Our research sheds light on the benefits of combining skeleton joints with object information for human action recognition in assembly tasks. We analyze the effect of the object detector on the combination for action classification and discuss the important factors that must be taken into account.

关键词：

来源：评论

学校读者我要写书评

暂无评论

People detection and distinction of their walking aids in 2D laser range data based on generic distance-invariant features

People detection and distinction of their walking aids in 2D...

引用

IEEE International Workshop on Robot and Human Communication (ROMAN)

作者： Christoph Weinrich Tim Wengefeld Christof Schroeter Horst-Michael Gross Neuroinformatics and Cognitive Robotics Lab Ilmenau University of Technology Ilmenau Germany

People detection in 2D laser range data is a popular cue for person tracking in mobile robotics. Many approaches are designed to detect pairs of legs. These approaches perform well in many public environments. However, we are working on an assistance robot for stroke patients in a rehabilitation center, where most of the people need walking aids. These tools occlude or touch the legs of the patients. Thereby, approaches based on pure leg detection fail. The essential contribution of this paper are generic distance-invariant range scan features for people detection in 2D laser range data and the distinction of their walking aids. With these features we trained classifiers for detecting people without walking aids (or with crutches), people with walkers, and people in wheelchairs. Using this approach for people detection, we achieve an F 1 score of 0.99 for people with and without walking aids, and 86% of detections are classified correctly regarding their walking aid. For comparison, using state-of-the-art features of Arras et al. on the same data results in an F 1 score of 0.86 and 57% correct discrimination of walking aids. The proposed detection algorithm takes around 2.5% of the resources of a 2.8 GHz CPU core to process 270° laser range data at an update rate of 10 Hz.

关键词： Feature extraction Legged locomotion Laser beams Lasers Robot sensing systems Wheelchairs

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11页 << < 1 2 3 4 5 6 7 8 9 10 > >>

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：