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检索条件"任意字段=Conference on Sensor Fusion - Architectures, Algorithms, and Applications"
2092 条 记 录,以下是11-20 订阅
排序:
Research Progress in Multi-sensor Data fusion algorithms  24
Research Progress in Multi-Sensor Data Fusion Algorithms
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2024 7th International conference on Computer Information Science and Artificial Intelligence, CISAI 2024
作者: Jiang, Huhai Ke, Huimeng Southwest Institute of Technical Physics Sichuan Chengdu China
With the rapid advancement of modern science and technology, the importance of multi-sensor data fusion technology in various applications has become increasingly prominent. However, traditional non-intelligent fusion... 详细信息
来源: 评论
AFTer-SAM: Adapting SAM with Axial fusion Transformer for Medical Imaging Segmentation
AFTer-SAM: Adapting SAM with Axial Fusion Transformer for Me...
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IEEE/CVF Winter conference on applications of Computer Vision (WACV)
作者: Yan, Xiangyi Sun, Shanlin Han, Kun Le, Thanh-Tung Ma, Haoyu You, Chenyu Xie, Xiaohui Univ Calif Irvine Irvine CA 92717 USA Yale Univ New Haven CT USA
The Segmentation Anything Model (SAM) has demonstrated effectiveness in various segmentation tasks. However, its application to 3D medical data has posed challenges due to its inherent design for both 2D and natural i... 详细信息
来源: 评论
Research Progress and Application of Multi-sensor Data fusion Technology in AGVs  5
Research Progress and Application of Multi-Sensor Data Fusio...
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5th International conference on Mechatronics Technology and Intelligent Manufacturing (ICMTIM)
作者: Huang, Chuan Ma, Zhiyong Huzhou Univ Sch Engn Dept Elect Engn Huzhou Zhejiang Peoples R China
Multi-sensor data fusion technology, which utilizes information from different sensors, combines algorithms and models to improve system performance and accuracy, has been widely applied in various fields. However, Au... 详细信息
来源: 评论
Enhanced Detection of Brain Tumors using fusion-Based Feature Optimization and Stacking Ensemble Algorithm
Enhanced Detection of Brain Tumors using Fusion-Based Featur...
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2024 International conference on Artificial Intelligence and Quantum Computation-Based sensor applications, ICAIQSA 2024
作者: Raut, Sweta Thakur, Uma Shelke, Nilesh Borkar, Pradnya Motghare, Manish Jhulelal Institute of Technology Department of Computer Science and Engineering Nagpur India Pune India G.H.Raisoni College of Engineering and Management Department of Artificial Intelligence Nagpur India
The variation of the appearance of brain tumors is a challenging detection task-the interpretation of cells due to abnormal growth in dimension decreases the accuracy of the detection algorithm. Recently, several algo... 详细信息
来源: 评论
Hyperspectral VNIR-SWIR Image fusion on Cultural Heritage and Remote Sensing Datasets using Image Sharpening Techniques  30
Hyperspectral VNIR-SWIR Image Fusion on Cultural Heritage an...
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conference on algorithms, Technologies, and applications for Multispectral and Hyperspectral Imaging XXX
作者: Macalintal, Jose N. G. M. Hassanzadeh, Amir Messinger, David Rochester Inst Technol One Lomb Mem Rochester NY 14623 USA
Hyperspectral imaging is one of the prevailing tools for the analysis of material composition and feature identification in images. The spectral features contained within image pixels are studied to better understand ... 详细信息
来源: 评论
Efficient Centralised and Decentralised Gaussian Process Approaches for Online Tracking within Stone Soup  27
Efficient Centralised and Decentralised Gaussian Process App...
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27th International conference on Information fusion (fusion)
作者: Lyu, Chenyi Liu, Xingchi Wright, James Barra, Jordi Hunter, Alasdair Mihaylova, Lyudmila Univ Sheffield Dept Automat Control & Syst Engn Sheffield S1 3JD S Yorkshire England Rutherford Appleton Lab Sci Comp Dept Sci & Technol Facil Council Didcot Oxon England Def Sci & Technol Lab Salisbury Wilts England
This paper explores the application of centralised and distributed Gaussian process algorithms to real-time target tracking and compares their performance. By embedding the algorithms into the Stone Soup, the focus is... 详细信息
来源: 评论
Learned sensor fusion For Robust Human Activity Recognition in Challenging Environments
Learned Sensor Fusion For Robust Human Activity Recognition ...
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2024 International conference on Intelligent Robots and Systems
作者: Conway, Max Reily, Brian Reardon, Christopher Univ Denver Dept Comp Sci Denver CO 80210 USA DEVCOM US Army Res Lab Adelphi MD USA
Human activity recognition is a vital area of robotics with significant real-world applications, from enhancing security and surveillance to improving healthcare and human-robot interaction. A critical challenge lies ... 详细信息
来源: 评论
A Modular sensor fusion and Quality-Driven sensor Selection Algorithm for UAV Navigation  20th
A Modular Sensor Fusion and Quality-Driven Sensor Selection ...
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20th International conference on Intelligent Computing (ICIC)
作者: Chen, Hainuo Ni, Xuebin Gao, Ming Ma, Hui Zhang, Chen Yunsheng Intelligent Technol Co Ltd Tianjin 300457 Peoples R China Tianjin Univ Sci & Technol Tianjin 300457 Peoples R China
Unmanned Aerial Vehicles (UAVs) are increasingly integrated in various applications. The urgent need for accurate navigation algorithms is emphasized in various applications. In this paper, we propose an integrated fr... 详细信息
来源: 评论
Evaluation of Occupancy Detection with Distributed Environmental sensors for IoT applications  20
Evaluation of Occupancy Detection with Distributed Environme...
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20th Annual International conference on Distributed Computing in Smart sensor Systems and the Internet of Things (DCOSS-IoT)
作者: Bovo, Matteo Agyeman, Rockson Arif, Muhammad Rinner, Bernhard Univ Udine Dipartimento Matemat Informat & Fis Udine Italy Univ Klagenfurt Inst Networked & Embedded Syst Klagenfurt Austria AAU SAL USE Lab Silicon Austria Labs Klagenfurt Austria
Occupancy refers to the presence of people in rooms and buildings. It is an essential input for IoT applications, including controlling lighting, heating, access, and monitoring space limitation policies. Occupancy in... 详细信息
来源: 评论
Innovation-trigger-based sequential fusion Kalman filter for CPSs with multiplicative noises against deception attacks  3
Innovation-trigger-based sequential fusion Kalman filter for...
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3rd conference on Fully Actuated System Theory and applications (FASTA)
作者: Zheng, Baifu Zhang, Xuenan Gao, Yuan Liu, Jinfang Heilongjiang Univ Elect Engn Coll Harbin 150086 Peoples R China Key Lab Informat Fus Estimat & Detect Harbin 150086 Peoples R China Lingnan Normal Univ Sch Comp Sci & Intelligence Educ Zhanjiang 524000 Peoples R China
For the CPSs with multiplicative noises against deception attacks, the sequential fusion filters under the innovation-triggered mechanism are presented. The random deception attacks occur in the transmitted measuremen... 详细信息
来源: 评论