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检索条件"任意字段=Conference on Radar Sensor Technology and Data Visualization"
4465 条 记 录,以下是71-80 订阅
排序:
Hybrid-Fusion Mamba for Multitask Point Cloud Learning With Visual Perception sensors
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IEEE INTERNET OF THINGS JOURNAL 2025年 第8期12卷 10183-10193页
作者: Dong, Hongwei Na, Shun Hu, Fengye Jilin Univ Coll Commun Engn Changchun 130012 Peoples R China Heilongjiang Univ Business & Technol Coll Informat & Electromech Engn Harbin 150025 Peoples R China Inner Mongolia Univ Coll Elect Informat Engn Hohhot 010021 Peoples R China
Mobile robots and autonomous vehicles rely on 3-D point cloud technology for environmental perception, which often employ various visual perception sensors within their Internet of Things (IoT) systems to acquire poin... 详细信息
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Quantum radar: A Brief Review of Current Progress and New Methods of Understanding and Signal Processing, Validated by Experimental Results  27
Quantum Radar: A Brief Review of Current Progress and New Me...
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conference on radar sensor technology XXVII
作者: Brandsema, Matthew J. Szigethy, Xavier Penn State Appl Res Lab 225 Sci Pk Rd State Coll PA 16801 USA
Modern approaches to quantum radar implementation utilize the intrinsic correlations of two-mode squeezed vacuum photon pairs emerging from a nonlinear interaction. The most popular approach has been the use of delay ... 详细信息
来源: 评论
Ground Penetrating radar Signal Denoising Based on Multi-Scale Feature Fusion Network  4
Ground Penetrating Radar Signal Denoising Based on Multi-Sca...
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4th International conference on Artificial Intelligence, Virtual Reality and visualization, AIVRV 2024
作者: Zheng, Mingjun Tong, Yao Dai, Rongnan Yang, Zhongli Ningbo Electric Power Design Institute Co Ningbo China China Three Gorges University of Electrical Engineering & New Energy Yichang China
With the rapid development of electronic information technology, Ground Penetrating radar (GPR) technology has become an indispensable tool in fields such as urban construction, archaeology, and the military. However,... 详细信息
来源: 评论
Experimental Progress using Quantum Binary Waveforms and Immediate Idler Detection Techniques for Remote Sensing  28
Experimental Progress using Quantum Binary Waveforms and Imm...
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conference on radar sensor technology XXVIII
作者: Brandsema, Matthew J. Ross, Leslie A. Semone, Sky Kalyanapuram, Nikhil Argyropoulos, Christos Ozdemir, Sahin K. Penn State Univ Appl Res Lab State Coll PA 16803 USA Penn State Univ Dept Elect Engn University Pk PA 16802 USA Penn State Univ Dept Engn Sci & Mech University Pk PA 16802 USA Penn State Univ Mat Res Inst University Pk PA 16802 USA
Two current hurdles of quantum radar/LiDAR technology are i.) The use of joint measurement techniques, whereby the idler remains in a delay line or a quantum memory to be measured later with the returning signal, and ... 详细信息
来源: 评论
Multi-IMU and mmWave radar Integration for Robust Land Vehicle Navigation  6
Multi-IMU and mmWave Radar Integration for Robust Land Vehic...
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6th International conference on Communications Signal Processing and their Applications
作者: Mounier, Eslam de Araujo, Paulo Ricardo Marques Korenberg, Michael Noureldin, Aboelmagd Queens Univ Kingston ON Canada Ain Shams Univ Cairo Egypt Royal Mil Coll Canada Kingston ON Canada
Despite the crucial role of the Global Navigation Satellite System (GNSS) for land vehicle navigation, it is prone to wireless signal degradation challenges that can compromise positioning accuracy and availability. I... 详细信息
来源: 评论
Real-Time Dashboarding using Big data Tools  7
Real-Time Dashboarding using Big Data Tools
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7th International conference on Inventive Computation Technologies, ICICT 2024
作者: Sanjay, R. Pulakhandam, Dheeraj Nirmalrani, V. Sathyabama Institute of Science And Technology Dept. Computer Science And Engineering Chennai India
Real-time dashboarding software empowers organizations to harness the burgeoning IoT data stream, transforming raw sensor readings into actionable insights through a secure and scalable architecture. data from connect... 详细信息
来源: 评论
Multi-dimensional DBSCAN Clustering Approach for Millimeter Wave radar Point Cloud data  16
Multi-dimensional DBSCAN Clustering Approach for Millimeter ...
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16th International conference on Microwave and Millimeter Wave technology (ICMMT)
作者: Li, Hanchen Fu, Chaowei Xi, Guangrong Wang, Qingmian Peng, Hongli Shanghai Jiao Tong Univ State Key Lab Radio Frequency Heterogeneous Integ Shanghai Peoples R China Shanghai Radio Equipment Res Inst Shanghai Peoples R China Shanghai Shentian Ind Co Ltd Shanghai Peoples R China
Addressing the poor resolution challenge of traditional Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithms in differentiating objects in close proximity, this paper introduces a multi-dime... 详细信息
来源: 评论
Performance Comparison of SAC Methods for radar Dynamic Object Classification  18th
Performance Comparison of SAC Methods for Radar Dynamic Obje...
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18th International conference on Intelligent Autonomous Systems (IAS)
作者: Park, Yeong Sang Choi, Dooseop Min, Kyoung-Wook ETRI Daejeon South Korea
The sample consensus (SAC) methods have become increasingly important in the field of radar-based dynamic object classification for applications such as ego-motion estimation and obstacle avoidance. This paper present... 详细信息
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Grating Lobe Suppression in MIMO radar Networks using Kaiser-Kalmus Sum-Difference Beam Cancellation  2
Grating Lobe Suppression in MIMO Radar Networks using Kaiser...
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2nd IEEE International conference on Signal, Information and data Processing, ICSIDP 2024
作者: Zhao, Ke Wang, Jun Yang, Bin He, Jiacheng Geng, Xueyin Beihang University School of Electronic and Information Engineering Beijing China
MIMO radar networks are composed of multiple separated MIMO sensors and each radar sensor can be viewed as a subarray. Although the MIMO radar networks can obtain a larger virtual aperture, excessive node or subarray ... 详细信息
来源: 评论
RoLM: radar on LiDAR Map Localization
RoLM: Radar on LiDAR Map Localization
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IEEE International conference on Robotics and Automation (ICRA)
作者: Mai, Yukai Zhao, Xiangrui Li, Han Gu, Yaqing Lang, Xiaolei Liu, Yong Zhejiang Univ Inst Cyber Syst & Control Hangzhou Peoples R China
Multi-sensor fusion-based localization technology has achieved high accuracy in autonomous systems. How to improve the robustness is the main challenge at present. The most commonly used LiDAR and camera are weather-s... 详细信息
来源: 评论