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Your search keyword '"Mercorelli, Paolo"' showing total 512 results
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512 results on '"Mercorelli, Paolo"'

1. Robust Maneuver Planning With Scalable Prediction Horizons: A Move Blocking Approach

Author

Schitz, Philipp, Dauer, Johann C., and Mercorelli, Paolo

Subjects
Computer Science - Robotics, Electrical Engineering and Systems Science - Systems and Control
Abstract

Implementation of Model Predictive Control (MPC) on hardware with limited computational resources remains a challenge. Especially for long-distance maneuvers that require small sampling times, the necessary horizon lengths prevent its application on onboard computers. In this paper, we propose a computationally efficient tubebased shrinking horizon MPC that is scalable to long prediction horizons. Using move blocking, we ensure that a given number of decision inputs is efficiently used throughout the maneuver. Next, a method to substantially reduce the number of constraints is introduced. The approach is demonstrated with a helicopter landing on an inclined platform using a prediction horizon of 300 steps. The constraint reduction decreases the computation time by an order of magnitude with a slight increase in trajectory cost., Comment: Submitted to L-CSS with CDC option

Published
2024
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2. Point Cloud Optimization Employing Multisensory Vision

Author

Sepulveda-Valdez, Cesar, Alaniz-Plata, Ruben, Núñez-López, José A., Alba-Corpus, Ivan Yeniseysk, Andrade-Collazo, Humberto, Flores-Fuentes, Wendy, Rodríguez-Quiñonez, Julio C., Mercorelli, Paolo, Tyrsa, Vera, Camacho-López, Santiago, Sergiyenko, Oleg, Rodríguez-Quiñonez, Julio C., editor, Flores-Fuentes, Wendy, editor, Castro-Toscano, Moises J., editor, and Sergiyenko, Oleg, editor

Published
2024
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3. Estimation of Parameters in the SIR Model Using a Particle Swarm Optimization Algorithm

Author

Marquardt, Niklas, Hendriok, Leo, Haus, Benedikt, Mercorelli, Paolo, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Das, Swagatam, editor, Saha, Snehanshu, editor, Coello, Carlos A. Coello, editor, Rathore, Hemant, editor, and Bansal, Jagdish Chand, editor

Published
2024
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4. Volume of Imbalance Container Prediction using Kalman Filter and Long Short-Term Memory

Author

Kim, Geunjeong, Block, Brit-Maren, Mercorelli, Paolo, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Sharma, Harish, editor, Chakravorty, Antorweep, editor, Hussain, Shahid, editor, and Kumari, Rajani, editor

Published
2024
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8. Introduction

Author

Mercorelli, Paolo, primary, Nemati, Hamidreza, additional, and Zhu, Quanmin, additional

Published
2024
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10. Preface

Author

Mercorelli, Paolo, primary, Nemati, Hamidreza, additional, and Zhu, Quanmin, additional

Published
2024
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13. Contributors

Author

An, Chuanxu, primary, Anwar Ali, Zain, additional, Aziz Lone, Ahtisham, additional, Becker, Udo, additional, Căpriţă, Horia V., additional, Chen, YangQuan, additional, de Mello Honório, Leonardo, additional, Ding, Yanjun, additional, Ferreira da Silva, Mathaus, additional, Ferreira dos Santos, Murillo, additional, Ferreira Vidal, Vinícius, additional, Gilfillan, C.L., additional, Heim, Hans-Peter, additional, Jihong, Wang, additional, khan, Muhammad Aamir, additional, Klute, Marco, additional, Kroll, Andreas, additional, Li, Donghai, additional, Macfarlane, Alexander B.S., additional, Mercorelli, Paolo, additional, Mironova, Alexandra, additional, Narayan, Pritesh, additional, Nemati, Hamidreza, additional, Rehmer, Alexander, additional, Selişteanu, Dan, additional, Sergiyenko, Oleg, additional, Shafiq, Muhammad, additional, Shi, Gengjin, additional, Ting, He, additional, van Niekerk, Theo, additional, Wang, Hui, additional, Wang, Sufang, additional, Wu, Zhenlong, additional, Xue, Yali, additional, Yip, Lewis, additional, Zedler, Andreas, additional, Zhang, Weicun, additional, and Zhu, Quanmin, additional

Published
2024
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22. Visual-Inertial Navigation Systems and Technologies

Author

Valdez-Rodríguez, Jorge Alejandro, Rodríguez-Quiñonez, Julio César, Flores-Fuentes, Wendy, Ramírez-Hernández, Luis Roberto, Trujillo-Hernández, Gabriel, Real-Moreno, Oscar, Castro-Toscano, Moisés J., Miranda-Vega, Jesús Elías, Mercorelli, Paolo, and Sergiyenko, Oleg, editor

Published
2022
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23. ROS and Stereovision Collaborative System

Author

Alaniz-Plata, Ruben, Sergiyenko, Oleg, Flores-Fuentes, Wendy, Tyrsa, Vera V. (Vira), Rodríguez-Quiñonez, Julio Cesar, Sepúlveda-Valdez, Cesar Antonio, Andrade-Collazo, Humberto, Mercorelli, Paolo, Lindner, Lars, and Sergiyenko, Oleg, editor

Published
2022
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26. Soft Optimal Computing Methods to Identify Surface Roughness in Manufacturing Using a Monotonic Regressor

Author

Haus, Benedikt, Yap, Jin Siang, Schaefer, Lennart, Mercorelli, Paolo, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Kumar, Rajesh, editor, Ahn, Chang Wook, editor, Sharma, Tarun K., editor, Verma, Om Prakash, editor, and Agarwal, Anand, editor

Published
2022
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27. Soft Optimal Computing to Identify Surface Roughness in Manufacturing Using a Gaussian and a Trigonometric Regressor

Author

Haus, Benedikt, Mercorelli, Paolo, Yap, Jin Siang, Schäfer, Lennart, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Patel, Kanubhai K., editor, Doctor, Gayatri, editor, Patel, Atul, editor, and Lingras, Pawan, editor

Published
2022
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29. Visual Detection of Traffic Incident through Automatic Monitoring of Vehicle Activities.

Author

Karim, Abdul, Raza, Muhammad Amir, Alharthi, Yahya Z., Abbas, Ghulam, Othmen, Salwa, Hossain, Md. Shouquat, Nahar, Afroza, and Mercorelli, Paolo

Abstract

Intelligent transportation systems (ITSs) derive significant advantages from advanced models like YOLOv8, which excel in predicting traffic incidents in dynamic urban environments. Roboflow plays a crucial role in organizing and preparing image data essential for computer vision models. Initially, a dataset of 1000 images is utilized for training, with an additional 500 images reserved for validation purposes. Subsequently, the Deep Simple Online and Real-time Tracking (Deep-SORT) algorithm enhances scene analyses over time, offering continuous monitoring of vehicle behavior. Following this, the YOLOv8 model is deployed to detect specific traffic incidents effectively. By combining YOLOv8 with Deep SORT, urban traffic patterns are accurately detected and analyzed with high precision. The findings demonstrate that YOLOv8 achieves an accuracy of 98.4%, significantly surpassing alternative methodologies. Moreover, the proposed approach exhibits outstanding performance in the recall (97.2%), precision (98.5%), and F1 score (95.7%), underscoring its superior capability in accurate prediction and analyses of traffic incidents with high precision and efficiency. [ABSTRACT FROM AUTHOR]

Published
2024
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30. A Study on the Performance of Adaptive Neural Networks for Haze Reduction with a Focus on Precision.

Author

Alshahir, Ahmed, Kaaniche, Khaled, Abbas, Ghulam, Mercorelli, Paolo, Albekairi, Mohammed, and Alanazi, Meshari D.

Subjects
OPTIMISM, COMPUTER vision, HAZE, APPLICATION software, MACHINE learning
Abstract

Visual clarity is significantly compromised, and the efficacy of numerous computer vision tasks is impeded by the widespread presence of haze in images. Innovative approaches to accurately minimize haze while keeping image features are needed to address this difficulty. The difficulties of current methods and the need to create better ones are brought to light in this investigation of the haze removal problem. The main goal is to provide a region-specific haze reduction approach by utilizing an Adaptive Neural Training Net (ANTN). The suggested technique uses adaptive training procedures with external haze images, pixel-segregated images, and haze-reduced images. Iteratively comparing spectral differences in hazy and non-hazy areas improves accuracy and decreases haze reduction errors. This study shows that the recommended strategy significantly improves upon the existing training ratio, region differentiation, and precision methods. The results demonstrate that the proposed method is effective, with a 9.83% drop in mistake rate and a 14.55% drop in differentiating time. This study's findings highlight the value of adaptable neural networks for haze reduction without losing image quality. The research concludes with a positive outlook on the future of haze reduction methods, which should lead to better visual clarity and overall performance across a wide range of computer vision applications. [ABSTRACT FROM AUTHOR]

Published
2024
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31. Advanced Neural Classifier-Based Effective Human Assistance Robots Using Comparable Interactive Input Assessment Technique.

Author

Albekairi, Mohammed, Kaaniche, Khaled, Abbas, Ghulam, Mercorelli, Paolo, Alanazi, Meshari D., and Almadhor, Ahmad

Subjects
ROBOT control systems, MACHINE learning, ROBOTS, ROBOTICS, CLASSIFICATION
Abstract

The role of robotic systems in human assistance is inevitable with the bots that assist with interactive and voice commands. For cooperative and precise assistance, the understandability of these bots needs better input analysis. This article introduces a Comparable Input Assessment Technique (CIAT) to improve the bot system's understandability. This research introduces a novel approach for HRI that uses optimized algorithms for input detection, analysis, and response generation in conjunction with advanced neural classifiers. This approach employs deep learning models to enhance the accuracy of input identification and processing efficiency, in contrast to previous approaches that often depended on conventional detection techniques and basic analytical methods. Regardless of the input type, this technique defines cooperative control for assistance from previous histories. The inputs are cooperatively validated for the instruction responses for human assistance through defined classifications. For this purpose, a neural classifier is used; the maximum possibilities for assistance using self-detected instructions are recommended for the user. The neural classifier is divided into two categories according to its maximum comparable limits: precise instruction and least assessment inputs. For this purpose, the robot system is trained using previous histories and new assistance activities. The learning process performs comparable validations between detected and unrecognizable inputs with a classification that reduces understandability errors. Therefore, the proposed technique was found to reduce response time by 6.81%, improve input detection by 8.73%, and provide assistance by 12.23% under varying inputs. [ABSTRACT FROM AUTHOR]

Published
2024
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32. Theoriebasierte studierendenzentrierte Lehrinnovationen in den Ingenieurwissenschaften für Zielgruppen mit stark heterogener Mathematikkompetenz am exemplarischen Beispiel zweier stoffdidaktischer Analysen

Author

Block, Brit-Maren, Mercorelli, Paolo, Bauer, Thomas, Series Editor, Beutelspacher, Albrecht, Series Editor, Biehler, Rolf, Editor-in-Chief, Eichler, Andreas, Series Editor, Hefendehl-Hebeker, Lisa, Series Editor, Hochmuth, Reinhard, Series Editor, Kramer, Jürg, Series Editor, Prediger, Susanne, Series Editor, Rach, Stefanie, editor, and Schaper, Niclas, editor

Published
2021
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34. Dual Kalman Filters Analysis for Interior Permanent Magnet Synchronous Motors

Author

Zwerger, Tanja, Mercorelli, Paolo, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Bartoszewicz, Andrzej, editor, and Kabziński, Jacek, editor

Published
2020
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35. Design of a Real Time Path of Motion Using a Sliding Mode Control with a Switching Surface

Author

Kunkelmoor, Jörg, Mercorelli, Paolo, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Bartoszewicz, Andrzej, editor, and Kabziński, Jacek, editor

Published
2020
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39. Mathematical Modeling for Robot 3D Laser Scanning in Complete Darkness Environments to Advance Pipeline Inspection.

Author

Sepulveda-Valdez, Cesar, Sergiyenko, Oleg, Tyrsa, Vera, Mercorelli, Paolo, Rodríguez-Quiñonez, Julio C., Flores-Fuentes, Wendy, Zhirabok, Alexey, Alaniz-Plata, Ruben, Núñez-López, José A., Andrade-Collazo, Humberto, Miranda-Vega, Jesús E., and Murrieta-Rico, Fabian N.

Subjects
PIPELINE inspection, STRUCTURAL health monitoring, ROBOT kinematics, MATHEMATICAL models, OPTICAL scanners, LASERS
Abstract

This paper introduces an autonomous robot designed for in-pipe structural health monitoring of oil/gas pipelines. This system employs a 3D Optical Laser Scanning Technical Vision System (TVS) to continuously scan the internal surface of the pipeline. This paper elaborates on the mathematical methodology of 3D laser surface scanning based on dynamic triangulation. This paper presents the mathematical framework governing the combined kinematics of the Mobile Robot (MR) and TVS. It discusses the custom design of the MR, adjusting it to use of robustized mathematics, and incorporating a laser scanner produced using a 3D printer. Both experimental and theoretical approaches are utilized to illustrate the formation of point clouds during surface scanning. This paper details the application of the simple and robust mathematical algorithm RANSAC for the preliminary processing of the measured point clouds. Furthermore, it contributes two distinct and simplified criteria for detecting defects in pipelines, specifically tailored for computer processing. In conclusion, this paper assesses the effectiveness of the proposed mathematical and physical method through experimental tests conducted under varying light conditions. [ABSTRACT FROM AUTHOR]

Published
2024
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40. An Extended Kalman Filter for Time Delays Inspired by a Fractional Order Model

Author

Haus, Benedikt, Mercorelli, Paolo, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Ruediger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas Chandra, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Samad, Tariq, Series Editor, Seng, Gan Woon, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Ostalczyk, Piotr, editor, Sankowski, Dominik, editor, and Nowakowski, Jacek, editor

Published
2019
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41. A Sufficient Asymptotic Stability Condition in Generalised Model Predictive Control to Avoid Input Saturation

Author

Mercorelli, Paolo, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Ruediger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Liang, Qilian, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Ntalianis, Klimis, editor, and Croitoru, Anca, editor

Published
2019
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