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401-410 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：

Mobile robot following method based on uwb and single-line lidar 4

Mobile robot following method based on uwb and single-line l...

引用

4th International conference on Digital Signal and Computer Communications, DSCC 2024

作者： Zhai, Yanchao He, Lile Wang, Weijun Xu, Zheng Wang, Jian Liu, Xiaokai Huang, Zucheng Xi 'an University of Architecture and Technology Xi'an710055 China Guangzhou Institute of Advanced Technology Guangzhou511458 China

ISBN: (纸本)9781510681538

This paper investigates the autonomous follower robot in the context of human-machine integration. A robust and efficient robot decision module is proposed to recognize, locate, and re-identify the target while handling situations of lost targets. First, the DBSCAN clustering algorithm is employed to recognize and locate the target based on point cloud data acquired by the single-line lidar. To identify the target pedestrian, the location information from Ultra-Wide Band (UWB) is utilized. sensor data fusion with nonlinear least squares optimization enables the extraction of coordinate information in the lidar coordinate system. Subsequently, coordinate transformation is applied to obtain the position information in the robot's coordinate system. To enhance the robustness of the mobile robot's following process, a multimodal behavior controller is proposed based on the data from two sensors. This controller allows the robot to switch between different modes, facilitating the retrieval of the target even under external disturbances. Experimental validation demonstrates the effectiveness of the proposed multi-sensor fusion method in reducing the tracking error of the mobile robot by 55%. © 2024 SPIE.

关键词： Optical radar

来源：评论

学校读者我要写书评

暂无评论

FARFusion V2: A Geometry-based radar-Camera Fusion Method on the Ground for Roadside Far-Range 3D Object Detection 24

FARFusion V2: A Geometry-based Radar-Camera Fusion Method on...

引用

32nd ACM International conference on Multimedia, MM 2024

作者： Li, Yao Deng, Jiajun Xiao, Yuxuan Wang, Yingjie Chu, Xiaomeng Ji, Jianmin Zhang, Yanyong University of Science and Technology of China Hefei China The University of Sydney Sydney Australia

ISBN: (纸本)9798400706868

Fusing the data of millimeter-wave radar sensors and high-definition cameras has emerged as a viable approach to achieving precise 3D object detection for roadside traffic surveillance. For roadside perception systems, earlier studies have pointed out that it is better to perform the fusion on the 2D image plane than on the BEV plane (which is popular for on-car perception systems), especially when the perception range is large (e.g., >150m). Image-plane fusion requires critical transformations, like perspective projection from the radar's BEV to the camera's 2D plane and reverse IPM. However, real-world issues like uneven terrain and sensor movement degrade these transformations' precision, impacting fusion effectiveness. To alleviate these issues, we propose a geometry-based radar-camera fusion method on the ground, namely FARFusion V2. Specifically, we extend the ground-plane assumption in FARFusion[20] to support arbitrary shapes by formulating the ground height as an implicit representation based on geometric transformations. By incorporating the ground information, we can enhance radar data with target height measurements. Consequently, we can thus project the enhanced radar data onto the 2D plane to obtain more accurate depth information, thereby assisting the IPM process. A real-time parameterized transformation parameters estimation module is further introduced to refine the view transformation processes. Moreover, considering various measurement noises across these two sensors, we introduce an uncertainty-based depth fusion strategy into the 2D fusion process to maximize the probability of obtaining the optimal depth value. Extensive experiments are conducted on our collected roadside OWL benchmark, demonstrating the excellent localization capacity of FARFusion V2 in far-range scenarios. Our method achieves an average location accuracy of 0.771m when we extend the detection range up to 500m. © 2024 ACM.

关键词： Image fusion

来源：评论

学校读者我要写书评

暂无评论

radar Signal Recognition Method based on Transfer Learning 23

Radar Signal Recognition Method based on Transfer Learning

引用

2023 Intelligent Sensing and Industrial Automation, ISIA 2023

作者： Cao, Chenglong Chen, Huaijin Chen, Mingjian Cao, Pei Zhang, Haiyan Electronic Engineering Institute National University of Defense Technology Anhui Hefei China Hefei University China Anhui Hefei China

ISBN: (纸本)9798400709401

radar signal recognition has a guiding role for electronic warfare systems. The traditional radar signal recognition method confirms the target model through signal feature comparison, which is suitable for electromagnetic environments with single radar signal and low signal feature complexity. With the continuous development of radar technology, traditional radar signal recognition methods have been difficult to adapt to target recognition in complex electromagnetic environments. In order to improve the accuracy of radar signal recognition in complex electromagnetic environments, this paper proposed a radar signal recognition method based on transfer learning. At first, the proposed method performed pre-processing operations on the initial signal data collected by the sensor, including normalization, noise truncation, feature extraction, etc., and established a database for the processed signal data. Afterwards, a feedforward BP neural network model was trained to classify the signal data. Finally, on the basis of the transfer learning, pulse characteristic parameters (radio frequency, etc.) were added to the output layer of the feedforward BP neural network, it served as a new input layer to train deeper network models, making it adaptive and deviation-resistant. The feasibility of the proposed method was verified with six sets of different sample data. The results showed that the average recognition accuracy of the method in this paper reached 93.3%, compared with the traditional ANN-based method, the average recognition accuracy is improved by 12%, which verifies the reliability of the proposed method. © 2023 ACM.

关键词： Complex networks

来源：评论

学校读者我要写书评

暂无评论

Detecting Planes during Take-off in SAR images using GMTI methods

Detecting Planes during Take-off in SAR images using GMTI me...

引用

2023 IEEE International radar conference, radar 2023

作者： Hansen, Elliot J. Ng, Brian Preiss, Mark Defence Science and Technology Group EdinburghSA5111 Australia University of Adelaide AdelaideSA Australia

ISBN: (纸本)9781665482783

The detection of fast moving and accelerating targets in Synthetic Aperture radar (SAR) imagery is a difficult problem. SAR image formation assumes that all objects in the scene are static over the coherent processing interval. The challenge in detecting airborne targets is addressing large target acceleration and velocity values when observed over the comparatively long dwell times associated with SAR collection paradigms and waveforms (including PRF) designed for stationary scenes. These factors lead to excessive blurring due to uncompensated phase terms, significant range migration, and potential aliasing of target signatures. Furthermore the dispersion of the target signature can lead to poor target to clutter ratios (TCR), complicating their *** paper explores initial research into a hybrid Ground Moving Target Indicator (GMTI) detection method combining interferometric processing, acceleration compensation, autofocus, detection and tracking to detect a challenging Doppler unambiguous moving target, with the objective of continued detection and tracking of a plane during take off. A SAR signal model is presented that parameterises a moving target signature in terms of range and azimuthal target velocities and accelerations. Data driven approaches for estimating these motion parameters are examined and applied to experimental data acquired with the Ingara SAR sensor. The hybrid detection method was found to improve TCR by around 6dB, along with superior detection and tracking performance. © 2023 IEEE.

关键词： Synthetic aperture radar

来源：评论

学校读者我要写书评

暂无评论

Optimizing High-Frequency radar Data: A Study on Effective Imputation Methods for Ocean Current Analysis 11

Optimizing High-Frequency Radar Data: A Study on Effective I...

引用

11th International conference on Information technology, Computer and Electrical Engineering, ICITACEE 2024

作者： Hartika, Yuni Permanasari, Adhistya Erna Fauziati, Silmi Aldini, Ittaka Gadjah Mada University Department of Electrical Engineering and Information Engineering Yogyakarta Indonesia Indonesian Agency for Meteorology Climatology and Geophysics Jakarta Indonesia

ISBN: (纸本)9798350389289

This study addresses the issue of missing data in High-Frequency radar (HFR) measurements, which are crucial for monitoring ocean surface currents and supporting maritime operations and environmental studies. However, the integrity of HFR data can be compromised by factors such as sensor malfunctions and environmental disturbances, creating a need for effective data imputation methods. The research focuses on evaluating and comparing the effectiveness of different statistical and machine learning techniques, including Seasonal-Trend Decomposition using Loess (STL) and Cubic Spline Interpolation, to accurately impute missing wind speed data. The findings of the study indicate that STL and Cubic Spline methods are superior in handling missing data, demonstrating high accuracy and strong correlation with actual data across scenarios with 5%, 10%, and 15% missing data. These methods outperform others like the Last Observation Carried Forward and Moving Average, especially when the percentage of missing data increases. The study highlights the potential of advanced imputation techniques to enhance the reliability of oceanographic data analysis, thereby improving the accuracy of ocean current models and forecasts. These advancements are crucial for enhancing maritime safety, resource management, and environmental monitoring, and they pave the way for further research into optimizing data imputation methodologies in related fields. © 2024 IEEE.

关键词： Ocean currents

来源：评论

学校读者我要写书评

暂无评论

Dual-Weight Particle Filter for radar-Based Dynamic Bayesian Grid Maps 1

Dual-Weight Particle Filter for Radar-Based Dynamic Bayesian...

引用

1st IEEE International conference on Mobility, Operations, Services and Technologies, MOST 2023

作者： Ronecker, Max Peter Stolz, Michael Watzenig, Daniel Graz University of Technology Institute of Automation and Control Graz Austria

ISBN: (纸本)9798350319958

Through constant improvements in recent years radar sensors have become a viable alternative to lidar as the main distancing sensor of an autonomous vehicle. Although robust and with the possibility to directly measure the radial velocity, it brings it's own set of challenges, for which existing algorithms need to be adapted. One core algorithm of a perception system is dynamic occupancy grid mapping, which has traditionally relied on lidar. In this paper we present a dual-weight particle filter as an extension for a bayesian occupancy grid mapping framework to allow to operate it with radar as its main sensors. It uses two separate particle weights that are computed differently to compensate that a radial velocity measurement in many situations is not able to capture the actual velocity of an object. We evaluate the method extensively with simulated data and show the advantages over existing single weight solutions. © 2023 IEEE.

关键词： Autonomous vehicles

来源：评论

学校读者我要写书评

暂无评论

A Hybrid Model for Object Detection Based on Feature-Level Camera-radar Fusion in Autonomous Driving 8

A Hybrid Model for Object Detection Based on Feature-Level C...

引用

8th International conference on Intelligent Computing and Signal Processing, ICSP 2023

作者： Jin, Yuhao Zhu, Xiaohui Yue, Yong Ma, Jieming Xi'an Jiaotong-Liverpool University School of Advanced Technology Suzhou China

ISBN: (纸本)9798350302455

Preventing car collisions through object detection has always been a major research direction in the field of autonomous driving. Recent years, camera-based object detection technology has achieved great success. However, its performance is still insufficient under poor lighting or weather conditions. Therefore, the fusion of various sensor information has become a new trend in object detection for autonomous driving. This paper proposes a hybrid object detection model that fuses millimeter-wave radar and camera at the feature level. The model uses a traditional convolutional neural network to extract features from data collected by the radar and camera, and performs multi-scale deep fusion. Subsequently, a multi-scale deformable attention module is used to process the fused feature maps for object detection. We tested this model on the nuScenes for autonomous driving, which includes night and rainy scenes. The hybrid model achieved a mean average precision (mAP) of 47.8%, which is 1.4% higher than that of the baseline object detection model. © 2023 IEEE.

关键词： Object detection

来源：评论

学校读者我要写书评

暂无评论

Harmonic Response vs. Target Orientation: A Preliminary Study of the Effect of Polarization on Nonlinear Junction Detection 26

Harmonic Response vs. Target Orientation: A Preliminary Stud...

引用

conference on radar sensor technology XXVI Part of SPIE Defense and Commercial Sensing conference

作者： Mazzaro, Gregory Gallagher, Kyle Sherbondy, Kelly Bouvy, Alex Perez, Beatrice Pierson, Timothy Kotz, David Mil Coll South Carolina The Citadel Dept Elect & Comp Engn 171 Moultrie St Charleston SC 29409 USA Army Res Lab US Army Combat Capabil Dev Command 2800 Powder Mill Rd Adelphi MD 20783 USA Univ Wisconsin Dept Elect & Comp Engn 1415 Engn Dr Madison WI 53706 USA Dartmouth Coll Dept Comp Sci 9 Maynard St Hanover NH 03755 USA

ISBN: (纸本)9781510650930;9781510650923

When an electromagnetically-nonlinear radar target is illuminated by a high-power stepped-frequency probe, a sequence of harmonics is unintentionally emitted by that target. Detection of the target is accomplished by receiving stimulated emissions somewhere in the sequence, while ranging is accomplished by processing amplitude and phase recorded at multiple harmonics across the sequence. The strength of the harmonics reflected from an electronic target depends greatly upon the orientation of that target (or equivalently, the orientation of the radar antennas). Data collected on handheld wireless devices reveals the harmonic angular-dependence of commercially-available electronics. Data collected on nonlinearly-terminated printed circuit boards implies the origin of this dependency. The results of this work suggest that electronic targets may be classified and ultimately identified by their unique harmonic-response-vs.-angle patterns.

关键词： radar harmonic detection nonlinear junction orientation polarization

来源：评论

学校读者我要写书评

暂无评论

Multiple Order Difference Based Radio Frequency (RF) Signal Processing 26

Multiple Order Difference Based Radio Frequency (RF) Signal ...

引用

conference on radar sensor technology XXVI Part of SPIE Defense and Commercial Sensing conference

作者： Li, Bing C. Lockheed Martin RMS 1801 State Route 17CMD 0315 Owego NY 13827 USA

ISBN: (纸本)9781510650930;9781510650923

Polynomial chirplet representation of a frequency modulation radio frequency (FMRF) signal has many applications in radar and electronic support measurement (ESM). Fast and reliable estimation of polynomial chirplet parameters is valuable for FMRF signal processing. Traditionally, two types of techniques are used to estimate phase polynomial parameters, polynomial chirplet transform and multiple order phase difference approaches. The polynomial chirplet transform approach is robust to noises, however computationally expensive while the difference approach is computationally efficient, but sensitive noises. In this paper, a new multiple order difference approach is introduced to estimate parameters of a polynomial chirplet. In this new approach, we first compute the highest order coefficient of the polynomial chirplet, then remove the highest order monomial term by a monomial pursuit approach. Repeating these two steps, we develop a difference accumulation and monomial pursuit approach for estimating parameters of polynomial chirplet. Simulation tests show that the proposed method is robust to noises and has a low computational cost.

关键词： Signal to noise ratio Signal processing Doppler effect radar Error analysis Frequency modulation Hough transforms Phase shift keying Target detection Radon

来源：评论

学校读者我要写书评

暂无评论

Design of MIMO radar Using Cascaded Millimeter-Wave sensors 14

Design of MIMO Radar Using Cascaded Millimeter-Wave Sensors

引用

14th International conference on Microwave and Millimeter Wave technology (ICMMT)

作者： Peng, Wei Jin, Weiwei Zou, Wenman 38th Res Inst China Elect Technol Corp Anhui Antenna & Microwave Engn Lab KLASSA Hefei Peoples R China

ISBN: (纸本)9781665467520

This paper presents a MIMO radar system cascading four commercially available millimeter-wave sensors. The sensor is able to work in the frequency range between 77 and 81 GHz and based on frequency modulated continuous wave radar principle (FMCW). This radar system shares a common Local Oscillator (LO) signal and timing synchronization signal across all the transmitters and receivers. This radar system has 12 transmit (TX) antennas and 16 receive (RX) antennas, which are arranged in two dimensions forming a 6 by 32 virtual array. The 2-dimensional physical antenna configuration provides the radar system with azimuth and elevation estimation capability, and can be used to high-resolution imaging and non-contact monitoring of vital signs. A FPGA SoC is used for radar waveform parameters configuration, echo signal acquisition, pre-processing and data transmission. Data and status are exported to host PC through ethernet. This radar system is evaluated by detecting static and moving object in time division multiplexing MIMO mode.

关键词： MIMO radar millimeter-wave cascaded sensors

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 << < 37 38 39 40 41 42 43 44 45 46 > >>

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：