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检索条件"任意字段=Sensor Fusion: Architectures, Algorithms and Applications II"
579 条 记 录,以下是71-80 订阅
排序:
Verifying RADAR Data Using Two-Dimensional QIM-based Data Hiding
Verifying RADAR Data Using Two-Dimensional QIM-based Data Hi...
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作者: Fedoruk, Brandonlib. University of Michigan
Modern vehicles have evolved into supporting advanced internal networks and connecting System Based Chips (SBC), System in a Package (SiP) solutions or traditional micro controllers to foster an electronic ecosystem f... 详细信息
来源: 评论
On the Adaptivity of Unscented Particle Filter for GNSS/INS Tightly-Integrated Navigation Unit in Urban Environment
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IEEE ACCESS 2021年 9卷 144157-144170页
作者: Vouch, Oliviero Minetto, Alex Falco, Gianluca Dovis, Fabio Politecn Torino Dept Elect & Telecommun DET I-10129 Turin Italy LINKS Fdn Space & Nav Technol Area I-10138 Turin Italy
Tight integration algorithms fusing Global Navigation Satellite System (GNSS) and Inertial Navigation System (INS) have become popular in many high-accuracy positioning and navigation applications. Despite their relia... 详细信息
来源: 评论
Efficient fusion network with label generation and branch transformations for visible and infrared images fusion
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Infrared Physics & Technology 2025年 150卷
作者: Dongdong Sun Chuanyun Wang Tian Wang Qian Gao Zhaokui Li College of Artificial Intelligence Shenyang Aerospace University Shenyang 110136 China Institute of Artificial Intelligence Beihang University Beijing 100191 China School of Computer Science Shenyang Aerospace University Shenyang 110136 China
The information obtained from a single sensor is often insufficient for accurate environmental perception. In contrast, multi-sensor fusion significantly enhances perceptual accuracy, with the integration of infrared ...
来源: 评论
MEFE: A Multi-fEature Knowledge fusion and Evaluation Method Based on BERT  20th
MEFE: A Multi-fEature Knowledge Fusion and Evaluation Method...
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20th International Conference on algorithms and architectures for Parallel Processing (ICA3PP)
作者: Ji, Yimu Hu, Lin Liu, Shangdong Xu, Zhengyang Liu, Yanlan Liu, Kaihang Tang, Shuning Liu, Qiang Xiao, Wan Nanjing Univ Posts & Telecommun Sch Comp Sci Nanjing 210023 Peoples R China Jiangsu High Technol Res Key Lab Wireless Sensor Nanjing 210003 Jiangsu Peoples R China Nanjing Univ Posts & Telecommun InstHigh Performance Comp & Bigdata Nanjing 210003 Jiangsu Peoples R China Nanjing Ctr HPC China Nanjing 210003 Jiangsu Peoples R China Jiangsu HPC & Intelligent Proc Engineer Res Ctr Nanjing 210003 Jiangsu Peoples R China Nanjing Univ Posts & Telecommun Coll Educ Sci & Technol Nanjing 210023 Peoples R China
Knowledge fusion is an important part of constructing a knowledge graph. In recent years, with the development of major knowledge bases, the integration of multi-source knowledge bases is the focus and difficulty in t... 详细信息
来源: 评论
fusion of Data from Radar and Depth sensors Applied for Healthcare-Oriented Characterization of Persons' Gait  23
Fusion of Data from Radar and Depth Sensors Applied for Heal...
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23rd IEEE Conference on Signal Processing algorithms, architectures, Arrangements, and applications (SPA)
作者: Mazurek, Pawel Wagner, Jakub Morawski, Roman Z. Warsaw Univ Technol Fac Elect & Informat Technol Inst Radioelect & Multimedia Technol Nowowiejska 15-19 PL-00665 Warsaw Poland
The research reported in this paper is related to the fusion of measurement data from the impulse-radar sensors and infrared depth sensors applied in a system for unobtrusive monitoring of elderly persons. The perform... 详细信息
来源: 评论
Neural Architecture Search for Automotive Grid fusion Networks Under Embedded Hardware Constraints
Neural Architecture Search for Automotive Grid Fusion Networ...
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International Conference on Machine Learning and applications (ICMLA)
作者: Gabor Balazs Walter Stechele Technische Universität München Munich Germany
The goal of automotive sensor fusion is to generate an environmental model with low-cost, mass-produced sensors-typically camera and radar. The central fusion controller needs sophisticated post-processing algorithms ... 详细信息
来源: 评论
RGB and LiDAR fusion based 3D Semantic Segmentation for Autonomous Driving
RGB and LiDAR fusion based 3D Semantic Segmentation for Auto...
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IEEE Intelligent Transportation Systems Conference (IEEE-ITSC)
作者: El Madawi, Khaled Rashed, Hazem El Sallab, Ahmad Nasr, Omar Kamel, Hanan Yogamani, Senthil Valeo R&D Cairo Cairo Egypt Cairo Univ Giza Egypt Valeo Vis Syst Galway Ireland
LiDAR has become a standard sensor for autonomous driving applications as they provide highly precise 3D point clouds. LiDAR is also robust for low-light scenarios at night-time or due to shadows where the performance... 详细信息
来源: 评论
Multi-sensor-fusion System for People Counting applications  1
Multi-Sensor-Fusion System for People Counting Applications
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1st International Conference on Societal Automation (SA)
作者: Stec, Michal Herrmann, Viktor Stabernack, Benno Fraunhofer Heinrich Hertz Inst HHI Embedded Syst Grp Berlin Germany Univ Potsdam Embedded Syst Architectures Signal Proc Potsdam Germany
For economical as well as environmental reasons, logistical planning and efficient assignment of transport vehicles in public transportation need a precise knowledge of passenger utilization. To provide reliable figur... 详细信息
来源: 评论
Soft body sensor networks: architectures and applications
Soft body sensor networks: Architectures and Applications
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IEEE International Conference on Networking, Sensing and Control
作者: Wentao Dong Xiao Cheng Daojin Yao School of Electrical and Automation Engineering East China Jiaotong University Nanchang China Rail Transportation Technology Innovation Center East China Jiaotong University Nanchang China
Body sensor networks (BSNs) are designed to collect, process, and transmit the biological data from different parts of human body from wearable electronics with limited resources. Conventional BSN node is also designe...
来源: 评论
Heracles: A Context-Based Multisensor sensor Data fusion Algorithm for the Internet of Things
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INFORMATION 2020年 第11期11卷 517页
作者: Delicato, Flavia C. Vandelli, Tayssa Bonicea, Mario Farias, Claudio M. de Fluminense Fed Univ Dept Comp Sci BR-24210310 Niteroi RJ Brazil Univ Fed Rio de Janeiro Tercio Pacitti Inst Appl Computat Res BR-21941916 Rio De Janeiro RJ Brazil
In the Internet of Things (IoT), extending the average battery duration of devices is of paramount importance, since it promotes uptime without intervention in the environment, which can be undesirable or costly. In t... 详细信息
来源: 评论