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

5,912 篇 会议
86 篇 期刊文献
1 册 图书

馆藏范围

5,999 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

3,309 篇 工学
- 1,952 篇 信息与通信工程
- 1,185 篇 电气工程
- 926 篇 计算机科学与技术...
- 640 篇 控制科学与工程
- 530 篇 电子科学与技术（可...
- 484 篇 软件工程
- 450 篇 测绘科学与技术
- 358 篇 仪器科学与技术
- 306 篇 光学工程
- 298 篇 航空宇航科学与技...
- 245 篇 交通运输工程
- 229 篇 机械工程
- 127 篇 土木工程
- 113 篇 建筑学
- 110 篇 安全科学与工程
- 88 篇 材料科学与工程（可...
- 68 篇 生物工程
- 59 篇 生物医学工程（可授...
- 55 篇 动力工程及工程热...
1,465 篇 理学
- 1,005 篇 物理学
- 268 篇 数学
- 98 篇 统计学（可授理学、...
- 87 篇 系统科学
- 76 篇 生物学
- 57 篇 化学
- 49 篇 大气科学
358 篇 医学
- 350 篇 临床医学
270 篇 管理学
- 194 篇 管理科学与工程(可...
- 105 篇 工商管理
- 94 篇 图书情报与档案管...
45 篇 军事学
33 篇 经济学
22 篇 法学
21 篇 农学
9 篇 教育学
4 篇 文学

主题

759 篇 laser radar
745 篇 radar
431 篇 radar tracking
360 篇 sensor systems
334 篇 synthetic apertu...
306 篇 sensors
296 篇 target tracking
287 篇 wireless sensor ...
253 篇 three-dimensiona...
246 篇 cameras
235 篇 sensor fusion
234 篇 radar detection
233 篇 radar imaging
203 篇 radar antennas
178 篇 robot sensing sy...
178 篇 sensor phenomena...
174 篇 object detection
170 篇 optical radar
155 篇 sensor arrays
148 篇 millimeter wave ...

机构

75 篇 penn state univ ...
30 篇 sandia natl labs...
27 篇 res lab adelphi ...
25 篇 penn state univ ...
22 篇 lincoln laborato...
21 篇 jet propulsion l...
18 篇 school of inform...
18 篇 sandia natl labs...
18 篇 us army res lab ...
14 篇 naval res lab wa...
12 篇 villanova univ c...
12 篇 univ st andrews ...
11 篇 sandia natl labs...
11 篇 univ oklahoma ad...
10 篇 department of ea...
10 篇 university of el...
10 篇 defence science ...
9 篇 texas tech univ ...
9 篇 sandia natl labs...
9 篇 georgia tech res...

作者

95 篇 narayanan ram m.
30 篇 doerry a. w.
27 篇 sherbondy kelly ...
25 篇 thomas zwick
24 篇 zhang yan (rocke...
24 篇 ranney kenneth
20 篇 dogaru traian
20 篇 ahmad fauzia
19 篇 robert weigel
17 篇 li changzhi
17 篇 martone anthony ...
16 篇 amin moeness g.
16 篇 gallagher kyle a...
15 篇 lanzagorta marco
14 篇 mazzaro gregory ...
14 篇 alexander yarovo...
14 篇 alexander koelpi...
14 篇 wei yi
13 篇 zwick thomas
12 篇 flores benjamin ...

语言

5,858 篇 英文
84 篇 其他
54 篇 中文
3 篇 德文
2 篇 土耳其文
1 篇 俄文

检索条件"任意字段=Conference on Radar Sensor Technology"

共 5999 条记录，以下是251-260 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：

Egocentric Human Pose Estimation using Head-mounted mmWave radar 21

Egocentric Human Pose Estimation using Head-mounted mmWave R...

引用

21st ACM conference on Embedded Networked sensor Systems (SenSys)

作者： Li, Wenwei Liu, Ruofeng Wang, Shuai Cao, Dongjiang Jiang, Wenchao Southeast Univ Nanjing Jiangsu Peoples R China Robert Bosch LLC Sunnyvale CA USA Singapore Univ Technol & Design Singapore Singapore

ISBN: (纸本)9798400704147

3D human pose plays a critical role in human behavior understanding and has many applications (e.g., VR/AR). Conventional pose estimations deploy sensors as fixed infrastructure, which significantly restrains the mobility of the user. Inspired by the emerging head-mounted devices (e.g., VR/AR glasses) and the recent advance in low-cost mmWave radar, we present mmEgo, the first egocentric human pose estimation design using a head-mounted mmWave radar, which offers ubiquitous pose tracking with high mobility, robustness to complex environments, and privacy preservation. To tackle the unique challenges of radar sensing from the egocentric perspective (e.g., random radar motion and the scarcity of information on the lower body), we propose several technical designs, including root-relative radar motion tracking for radar motion decoupling and a two-stage pose estimator that incorporates human kinematics priors. Extensive experiments and case studies show that our method can reduce the joint localization error by 44.2% and potentially enable a wide spectrum of applications.

关键词： Human Sensing Millimeter Wave Deep Learning Virtual Reality

来源：评论

学校读者我要写书评

暂无评论

UniMSF: A Unified Multi-sensor Fusion Framework for Intelligent Transportation System Global Localization 27

UniMSF: A Unified Multi-Sensor Fusion Framework for Intellig...

引用

27th IEEE International conference on Intelligent Transportation Systems, ITSC 2024

作者： Liu, Wei Zhu, Jiaqi Zhuo, Guirong Fu, Wufei Meng, Zonglin Lu, Yishi Hua, Min Qiao, Feng Li, You He, Yi Xiong, Lu School of Automotive Studies Tongji University Shanghai201804 China University of California Los Angeles Department of Civil and Environmental Engineering Los AngelesCA United States Shanghai Gongji Technology Co. Ltd Shanghai201804 China University of Birmingham Department of Mechanical Engineering B15 2TT United Kingdom Rwth Aachen University Aachen52062 Germany Wuhan University State Key Laboratory of Surveying Mapping and Remote Sensing Wuhan China Intelligent Transportation System Research Center Wuhan University of Technology Wuhan China

ISBN: (纸本)9798331505929

Intelligent transportation systems (ITS) localization is of significant importance as it provides fundamental position and orientation for autonomous operations like intelligent vehicles. Integrating diverse and complementary sensors such as global navigation satellite system (GNSS) and 4D-radar can provide scalable and reliable global localization. Nevertheless, multi-sensor fusion encounters challenges including heterogeneity and time-varying uncertainty in measurements. Consequently, developing a reliable and unified multi-sensor framework remains challenging. In this paper, we introduce UniMSF, a comprehensive multi-sensor fusion localization framework for ITS, utilizing factor graphs. By integrating a multi-sensor fusion front-end, alongside outlier detection&noise model estimation, and a factor graph optimization back-end, this framework accomplishes efficient fusion and ensures accurate localization for ITS. Specifically, in the multi-sensor fusion front-end module, we tackle the measurement heterogeneity among different modality sensors and establish effective measurement models. Reliable outlier detection and data-driven online noise estimation methods ensure that back-end optimization is immune to interference from outlier measurements. In addition, integrating multi-sensor observations via factor graph optimization offers the advantage of 'plug and play'. Notably, our framework features high modularity and is seamlessly adapted to various sensor configurations. We demonstrate the effectiveness of the proposed framework through real vehicle tests by tightly integrating GNSS pseudorange and carrier phase information with IMU, and 4D-radar. © 2024 IEEE.

关键词： Global positioning system

来源：评论

学校读者我要写书评

暂无评论

Overview of SAR Image Fusion Processing Techniques with Other sensor Data 25

Overview of SAR Image Fusion Processing Techniques with Othe...

引用

25th IEEE China conference on System Simulation technology and its Application, CCSSTA 2024

作者： Gao, Gemengyue Xin, Yu Li, Yingying Chen, Feng Feng, Xin Wang, Xueying Lin, Yuzhuoyue Zhou, Hongyuan Beijing Institute of Remote Sensing Information Beijing China

ISBN: (纸本)9798350366600

Synthetic Aperture radar (SAR), with its all-weather and all-day operational capabilities and wide-area detection ability, has become an important means for global monitoring of terrain and oceans. The fusion processing of SAR images with other sensor data can fully utilize the complementary advantages of information from various sensors to obtain richer and more targeted fusion results. This paper first analyzes and summarizes the SAR and opticalimage fusion processing techniques, including the main methods of pixel-level, feature-level, and decision-level fusion;then introduces the SAR and Automatic Identification System (AIS) data fusion processing technology, including data association methods based on location feature information and basedon multi-feature fusion, as well as ship fusion detection and recognition methods;finally, it summarizes the aforementioned methods. © 2024 IEEE.

关键词： Image fusion

来源：评论

学校读者我要写书评

暂无评论

CRAFT: Camera-radar 3D Object Detection with Spatio-Contextual Fusion Transformer 37

CRAFT: Camera-Radar 3D Object Detection with Spatio-Contextu...

引用

37th AAAI conference on Artificial Intelligence (AAAI) / 35th conference on Innovative Applications of Artificial Intelligence / 13th Symposium on Educational Advances in Artificial Intelligence

作者： Kim, Youngseok Kim, Sanmin Choi, Jun Won Kum, Dongsuk Korea Adv Inst Sci & Technol Daejeon South Korea Hanyang Univ Seoul South Korea

ISBN: (纸本)9781577358800

Camera and radar sensors have significant advantages in cost, reliability, and maintenance compared to LiDAR. Existing fusion methods often fuse the outputs of single modalities at the result-level, called the late fusion strategy. This can benefit from using off-the-shelf single sensor detection algorithms, but late fusion cannot fully exploit the complementary properties of sensors, thus having limited performance despite the huge potential of camera-radar fusion. Here we propose a novel proposal-level early fusion approach that effectively exploits both spatial and contextual properties of camera and radar for 3D object detection. Our fusion framework first associates image proposal with radar points in the polar coordinate system to efficiently handle the discrepancy between the coordinate system and spatial properties. Using this as a first stage, following consecutive cross-attention based feature fusion layers adaptively exchange spatio-contextual information between camera and radar, leading to a robust and attentive fusion. Our camera-radar fusion approach achieves the state-of-the-art 41.1% mAP and 52.3% NDS on the nuScenes test set, which is 8.7 and 10.8 points higher than the camera-only baseline, as well as yielding competitive performance on the LiDAR method.

关键词： Cameras

来源：评论

学校读者我要写书评

暂无评论

Assessing radar-Aided Navigation for UAM Approach and Landing Through High-Fidelity Simulations and Flight Testing 43

Assessing Radar-Aided Navigation for UAM Approach and Landin...

引用

43rd AIAA DATC/IEEE Digital Avionics Systems conference, DASC 2024

作者： Veneruso, Paolo Miccio, Enrico Opromolla, Roberto Fasano, Giancarmine Manica, Luca Gentile, Giacomo Tiana, Carlo Univ. of Naples 'Federico II' Dept. of Industrial Engineering Naples Italy Applied Research & Technology Collins Aerospace Rome Italy Vision Systems Collins Aerospace PortlandOR United States

ISBN: (纸本)9798350349610

In Urban Air Mobility, the approach and landing procedure of Vertical Take-off and Landing aircraft is recognized as a critical phase which needs innovative solutions to guarantee reliable operations. This paper focuses on validating an onboard multi-sensor architecture including a Frequency-Modulated-Continuous-Wave radar system, two cameras, a Global Navigation Satellite System receiver and an Inertial Measurement Unit. Data from exteroceptive sensors are processed to detect and identify ad-hoc designed keypoints in the landing area. In this framework, the paper discusses radar processing algorithms designed to detect and match the ground reflectors used as navigation aids. The resulting measurements are integrated in an Extended Kalman Filter. A physics-based simulation environment is adopted to realistically simulate the sensor data used to test performance of the navigation filter. Finally, an helicopter flight test campaign is presented with the aim to validate the simulation results on real flight data. © 2024 IEEE.

关键词： Extended Kalman filters

来源：评论

学校读者我要写书评

暂无评论

Infrared-radar multimodal target detection algorithm combining position prior information

Infrared-radar multimodal target detection algorithm combini...

引用

2023 International conference on Computer Graphics, Artificial Intelligence, and Data Processing, ICCAID 2023

作者： Zhi, Xinkai Zhou, Hanqing Tang, Yang Avic Cape Beijing101400 China

ISBN: (纸本)9781510677685

In recent years, multimodal composite guidance technology has received extensive research and exploration, and multimodal fusion methods based on deep learning have achieved performance far superior to traditional methods. However, in practical applications, there are still many difficulties in the fusion technology of infrared images and high-resolution range profiles. In response to the above challenges, this paper fully utilizes the characteristics of sensor data collection to conduct in-depth research on the application of position prior, cross modal attention mechanism, and domain adaptation in multimodal object detection problems. A multimodal object detection algorithm called CenterNet- PK, which introduces a position prior, is proposed to deeply fuse infrared radar feature information while alleviating data heterogeneity issues. A feature extraction module based on one-dimensional convolution and bidirectional gated cyclic unit (Bi-GRU) was designed, and a radar feature map generation algorithm based on position prior was proposed. A cascade strategy was used to deeply fuse infrared and radar feature maps. Finally, the improved adaptive key point loss function was used to complete network training. The experimental results show that the proposed algorithm has high detection accuracy and anti-interference ability. © 2024 SPIE.

关键词： Object detection

来源：评论

学校读者我要写书评

暂无评论

Design of a Low Noise Power Efficient RO-ILFD for radar sensor Applications 9

Design of a Low Noise Power Efficient RO-ILFD for Radar Sens...

引用

9th International conference on Mechatronics Engineering (ICOM)

作者： Hemel, Md Shahriar Khan Reaz, Mamun Bin Ibne Ullah, Hadaate Ali, Sawal Hamid Bin Md Zaman, Kh Shahriya Bhuiyan, Md Arif Sobhan Univ Kebangsaan Malaysia Elect Elect & Syst Engn Bangi Selangor Malaysia Independent Univ Elect & Elect Engn Dhaka Bangladesh Univ Sci & Technol Chittagong Elect & Elect Engn Chittagong Bangladesh Xiamen Univ Malaysia Elect Engn & Artificial Intelligence Sepang Malaysia

ISBN: (纸本)9798350349795;9798350349788

Surface movement radar (SMR) is essential for airport monitoring, with phase-locked loops (PLLs) serving as key oscillators. Injection-locked frequency dividers (ILFDs) within PLLs ensure precise frequency division, enabling accurate and stable radar signal processing. Focusing on a ILFD design featuring PMOS body injection, the study demonstrates how this technique reduces phase noise, and maintains low power consumption. Utilizing a ring oscillator, the ILFD achieves a wide locking range from 26.2 GHz to 35 GHz and exhibits a free-running frequency of 9.7 GHz. The ILFD's performance, including phase noise of -147.16 dBc/Hz and a power consumption of only 0.366 mW, highlights its suitability for surface movement radar. Detailed post-layout simulation results and a comparison with existing ILFD designs underscore the advantages of the proposed method, particularly in achieving high frequency stability and efficiency in a compact die area of 18 mu m(2). This work affirms the ILFD's potential for surface movement radar requiring precise and reliable high-frequency signal synthesis.

关键词： Surface Movement radar Phase-Locked Loop (PLL) Injection-Locked Frequency Dividers (ILFDs) PMOS Body Injection Phase Noise

来源：评论

学校读者我要写书评

暂无评论

Amplitude Information-aided Extended Target Tracking Using the PHD Filter 13

Amplitude Information-aided Extended Target Tracking Using t...

引用

13th International conference on Control, Automation and Information Sciences, ICCAIS 2024

作者： Xiong, Yuhuan Yang, Jiaye Zhang, Boxiang Cao, Xi Yi, Wei School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu China

ISBN: (纸本)9798331542047

radar is a commonly utilized sensor in extended target tracking (ETT). Traditional ETT methods rely primarily on spatial information (such as position and angle) from radar measurements, often leading to challenges like clustering closely spaced targets and clutter. However, modern radar systems also provide amplitude information (AI), which differs between targets and clutter. This paper proposes a novel tracking scheme that leverages AI to assist ETT. The scheme improves the measurement partitioning and the update of the extended target probability hypothesis density (ET-PHD) filter using AI. Ulti-mately, it employs Gaussian processes in conjunction with the AI-aided ET-PHD (AI-GP-PHD) filter for ETT. Simulation results demonstrate that the AI-GP-PHD filter is effective, particularly in clutter-dense environments like roadside areas in traffic scenarios. © 2024 IEEE.

关键词： radar clutter

来源：评论

学校读者我要写书评

暂无评论

Analysis and Validation of 77 GHz FMCW-based GB-SAR Micro-deformation Monitoring Method 36

Analysis and Validation of 77 GHz FMCW-based GB-SAR Micro-de...

引用

36th Chinese Control and Decision conference (CCDC)

作者： Zhou, Mengyuan Li, Chuandong Shi, Yawei Li, Huaqing Wang, Huiwei Southwest Univ Coll Elect & Informat Engn Chongqing 400715 Peoples R China

ISBN: (纸本)9798350387780;9798350387797

Since the development of deformation monitoring technology, various synthetic aperture radar (SAR) systems have been developed. There are two popular traditional deformation monitoring technologies including spaceborne SAR and airborne SAR. However, they both have the disadvantages such as the inability to monitor promptly, long monitoring cycles, and the micro-deformation accuracy of low. The ground-based synthetic aperture radar (GB-SAR) avoids these problems, which offers great convenience and potential for micro-deformation monitoring applications. This paper proposes a technique based on the 77 GHz frequency modulated continuous wave (FMCW) micro deformation monitoring method for GB-SAR, which leads to a lighter, faster GB-SAR device with better monitoring accuracy. Firstly, a fusion filtering method employing wiener filtering and 2D discrete wavelet transform (2DWT) is used to remove noise in the radar echo data. Then, a GB-SAR imaging system is developed based on a back-projection (BP) algorithm, where the radar sensor scans the target scene by moving a horizontal trajectory. A modified mean filtering approach is performed for phase denoising of interferometric image. Moreover, a discrete cosine transform-based least squares (DCT-LS) method is utilized for phase unwrapping. Finally, several experiments are conducted to demonstrate effectiveness and practicability of the proposed method, and the accuracy of deformation monitoring can reach the sub-millimeter precision (1mm).

关键词： Micro-deformation monitoring frequency modulated continuous wave (FMCW) ground-based synthetic aperture radar (GB-SAR) 2D discrete wavelet transform (2DWT) discrete cosine transform-based least squares (DCT-LS)

来源：评论

学校读者我要写书评

暂无评论

Distributed sensor Network for 3D Tag Localization Using Harmonic radar at 61/122 GHz ISM Band 20

Distributed Sensor Network for 3D Tag Localization Using Har...

引用

20th European radar conference, EuRAD 2023

作者： Hansen, Steffen Nowok, Sandra Shoykhetbrod, Alex Wickmann, Stefan Wessel, Jan Pohl, Nils Fraunhofer FHR Germany Ruhr-University Bochum Germany

ISBN: (纸本)9782874870743

In this paper, a study on the use of a harmonic radar at the 61/122-GHz industrial, scientific, and medical (ISM) frequency bands for 3D localization is presented. The radar is based on two self-designed monolithic microwave wave integrated circuits (MMIC) for the transceiver (TRX) and tag, which are fabricated in a 130-nm SiGe BiCMOS technology. The localization is carried out using the multilateration technique with four spatially distributed sensors. A simple calibration measurement was performed to determine the required sensor positions, which were then used to locate a tag with dimensions and weight of ≈ 2 cm3 / 9 g that can be mounted on the target. Despite strong interference caused by metallic fixtures, the positioning remains robust due to the harmonic radar principle. © 2023 European Microwave Association (EuMA).

关键词： Si-Ge alloys

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500页 << < 22 23 24 25 26 27 28 29 30 31 > >>

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：