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检索条件"机构=ISR-Institute of Systems and Robotics Department of Electrical and Computer Engineering"
718 条 记 录,以下是31-40 订阅
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Camera and LiDAR Fusion for Robust 3D Person Detection in Indoor Environments
Camera and LiDAR Fusion for Robust 3D Person Detection in In...
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IEEE International Conference on Autonomous Robot systems and Competitions (ICARSC)
作者: Carlos A. Silva Sedat Dogru Lino Marques Department of Electrical and Computer Engineering Institute of Systems and Robotics University of Coimbra 3030-290 Coimbra Portugal
In order to guarantee a harmonious coexistence of robots and humans, it is vital for the former to be able to navigate the environment in a safe manner, taking into consideration the people that populate it. This requ... 详细信息
来源: 评论
SPVSoAP3D: A Second-order Average Pooling Approach to enhance 3D Place Recognition in Horticultural Environments
arXiv
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arXiv 2024年
作者: Barros, T. Premebida, C. Aravecchia, S. Pradalier, C. Nunes, U.J. University of Coimbra Institute of Systems and Robotics Department of Electrical and Computer Engineering Portugal IRL2958 GeorgiaTechCNRS Metz57070 France
3D LiDAR-based place recognition has been extensively researched in urban environments, yet it remains underexplored in agricultural settings. Unlike urban contexts, horticultural environments, characterized by their ... 详细信息
来源: 评论
SPVSoAP3D: A Second-order Average Pooling Approach to enhance 3D Place Recognition in Horticultural Environments
SPVSoAP3D: A Second-order Average Pooling Approach to enhanc...
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IEEE/RSJ International Conference on Intelligent Robots and systems (IROS)
作者: T. Barros C. Premebida S. Aravecchia C. Pradalier U. J. Nunes Department of Electrical and Computer Engineering Institute of Systems and Robotics University of Coimbra Portugal IRL2958 GeorgiaTech-CNRS Metz France
3D LiDAR-based place recognition has been extensively researched in urban environments, yet it remains underexplored in agricultural settings. Unlike urban contexts, horticultural environments, characterized by their ... 详细信息
来源: 评论
An Efficient Medical Image Deep Fusion Model Based on Convolutional Neural Networks
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computers, Materials & Continua 2023年 第2期74卷 2905-2925页
作者: Walid El-Shafai Noha A.El-Hag Ahmed Sedik Ghada Elbanby Fathi E.Abd El-Samie Naglaa F.Soliman Hussah Nasser AlEisa Mohammed E.Abdel Samea Department of Electronics and Electrical Communications Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Security Engineering Laboratory Department of Computer SciencePrince Sultan UniversityRiyadh11586Saudi Arabia Higher Institute of Commercial Science Management Information SystemsEl-Mahala El-KobraEgypt Department of the Robotics and Intelligent Machines Faculty of Artificial IntelligenceKafrelsheikh UniversityKafr El-SheikhEgypt Department of Industrial Electronics and Control Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Department of Information Technology College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadhSaudi Arabia Medical Imaging and Interventional Radiology National Liver InstituteMenoufia UniversityEgypt
Medical image fusion is considered the best method for obtaining one image with rich details for efficient medical diagnosis and *** learning provides a high performance for several medical image analysis *** paper pr... 详细信息
来源: 评论
Modular Cyber-Physical System for Smart Industry: A case study on energy load disaggregation
Modular Cyber-Physical System for Smart Industry: A case stu...
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2023 International Conference on Control, Automation and Diagnosis, ICCAD 2023
作者: Alves, Jorge Sousa, Pedro Matos, Barbara Mendes, Jerome Souza, Francisco Matias, Tiago University of Coimbra Institute of Systems and Robotics Department of Electrical and Computer Engineering Coimbra3030-290 Portugal Oncontrol Technologies Coimbra3000-108 Portugal Radboud University Dept. Analytical Chemistry & Chemometrics AJ Nijmegen6525 Netherlands
Constant changes have marked the industry, and cyber-physical systems have offered great potential in Industry 4.0 on production processes, allowing the integration of computational intelligence and real-time processi... 详细信息
来源: 评论
Approaching Test Time Augmentation in the Context of Uncertainty Calibration for Deep Neural Networks
arXiv
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arXiv 2023年
作者: Conde, Pedro Barros, Tiago Lopes, Rui L. Premebida, Cristiano Nunes, Urbano J. The Institute of Systems and Robotics Department of Electrical and Computer Engineering University of Coimbra Portugal Critical Software South Africa
With the rise of Deep Neural Networks, machine learning systems are nowadays ubiquitous in a number of real-world applications, which bears the need for highly reliable models. This requires a thorough look not only a... 详细信息
来源: 评论
Application of Deep Learning Method to Estimate Bottomhole Pressure Dynamics of Oil Wells  32
Application of Deep Learning Method to Estimate Bottomhole P...
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32nd IEEE International Symposium on Industrial Electronics, ISIE 2023
作者: Cheng, Haibo Li, Shichao Zeng, Peng Vyatkin, Valeriy State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Key Laboratory of Networked Control Systems Chinese Academy of Sciences Shenyang China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang China Luleå University of Technology Electrical and Space Engineering Department of Computer Science Luleå Sweden Aalto University Department of Electrical Engineering and Automation Helsinki Finland
Surrogate models, which have become an effective and popular method to close loop reservoir management problems, use a data-driven approach to predict dynamic injection and production wells parameters and optimize wat... 详细信息
来源: 评论
Improving Lidar Based Tracking of UAVs Using an Approach Based on Focusing
Improving Lidar Based Tracking of UAVs Using an Approach Bas...
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Iberian robotics Conference (ROBOT)
作者: Alberto Cerutti Sedat Dogru Lino Marques Department of Electronics and Telecommunications (DET) Polytechnic University of Turin Turin Italy Department of Electrical and Computer Engineering Institute of Systems and Robotics University of Coimbra Coimbra Portugal
This paper presents a novel approach for detecting drones using a lidar sensor integrated on a robotic turret. The turret rotates allowing the sensor to scan the sky, and both hardware components communicate in real-t... 详细信息
来源: 评论
Camera Lidar Fusion for Unmanned Aerial Vehicle Detection
Camera Lidar Fusion for Unmanned Aerial Vehicle Detection
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Iberian robotics Conference (ROBOT)
作者: Cosimo Leuci Sedat Dogru Lino Marques Department of Electronics and Telecommunications (DET) Polytechnic University of Turin Turin Italy Department of Electrical and Computer Engineering Institute of Systems and Robotics University of Coimbra Coimbra Portugal
Due to their low-cost and ease of use, cameras are very popular for drone detection. Thanks to the feature reach images obtained from the cameras, it is possible to classify drones with a relatively high success ratio... 详细信息
来源: 评论
Exploring Continuous Awareness Modelling for Improving Worker Safety and Trust*
Exploring Continuous Awareness Modelling for Improving Worke...
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IEEE International Workshop on Robot and Human Communication (ROMAN)
作者: Andrey Solovov Mohammad Zarei Vishal Gautam Bruno Ferreira Gustavo Assunção Antonio Marin-Hernandez Paulo Menezes Department of Electrical and Computer Engineering University of Coimbra Coimbra Portugal Institute of Systems and Robotics University of Coimbra Coimbra Portugal Universidad Veracruzana Xalapa Mexico
The Industry 5.0 Human-Robot Interaction (HRI) goals have the potential for significantly reducing production costs, but require factory workers to trust that robots will not cause them physical harm when sharing the ... 详细信息
来源: 评论