Temat: tracking - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Design of a vision‐based autonomous turret
Autorzy:: Louali, Rabah
Negadi, Djilali
Hamadouche, Rabah
Nemra, Abdelkrim
Powiązania:: https://bibliotekanauki.pl/articles/27314239.pdf
Data publikacji:: 2022
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: autonomous turret
stepper motor
DC motor
vision based control
Tracking‐Learning‐Detection algorithm
TLD algorithm
Kalman based visual tracking
Opis:: This article describes the hardware and software de‐ sign of a vision‐based autonomous turret system. A two degree of freedom (2 DOF) turret platform is designed to carry a cannon equipped with an embedded camera and actuated by stepper motors or direct current motors. The turret system includes a central calculator running a visual detection and tracking solution, and a microcon‐ troller, responsible for actuators control. The Tracking‐ Learning‐Detection (TLD) algorithm is implemented for target detection and tracking. Furthermore, a Kalman filter algorithm is implemented to continue the tracking in case of occlusion. The performances of the designed turret, regarding response time, accuracy and the execu‐ tion time of its main tasks, are evaluated. In addition, an experimental scenario was performed for real‐time autonomous detection and tracking of a moving target.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2022, 16, 4; 72--77
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Research on the ACC Autonomous Car
Autorzy:: Pozna, C.
Troester, F.
Powiązania:: https://bibliotekanauki.pl/articles/384467.pdf
Data publikacji:: 2007
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: autonomous car
driving robot
control system architecture
trajectory tracking
Opis:: The aim of this paper is to present a general view about the autonomous driving researches made in the University of Applied Science Heilbronn, Germany. More exactly we will present aspects about our autonomous car design and construction. We will point out the original elements of our achievements: the driving robot construction and the control system structure design. This will be also the occasion to focus on the tactical level of the mentioned control system in order to present results on the trajectory tracking strategies.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2007, 1, 1; 32-40
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Economical photovoltaic tree with improved angle of movement based sun tracking system
Autorzy:: Karmakar, Bishal
Mallipeddi, Rammohan
Protiq, Md. Nasid Kamal
Powiązania:: https://bibliotekanauki.pl/articles/384926.pdf
Data publikacji:: 2019
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: renewable energy
low cost photovoltaic tree
sun tracking system
Opis:: In this paper we propose a renewable energy storing system in order to harness optimal solar radiation. In consideration of photosynthesis process of a tree, photovoltaic cells of this artificial tree are arranged by Fibonacci pattern instead of leaves. This design will increase efficiency of storing energy compare to flat structure. To solve the problem of low efficiency of a solar system, it is necessary to orient photovoltaic cells with varying direction of periodic sun irradiation. Taking this into account, a tracking system based on one-degree angle of movement maintaining small angle of tolerance, is implemented with a specific movement flexibility for any promising fluctuation of sunlight. A incomplex techniqe and low cost design makes it economical and easy implementable.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2019, 13, 4; 47-51
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: Non‐linear model‐based predictive control for trajectory tracking and control effort minimization in a smartphone‐based quadrotor
Autorzy:: García, Luis
Rosero, Esteban
Powiązania:: https://bibliotekanauki.pl/articles/27314228.pdf
Data publikacji:: 2022
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: quadrotor
model-based predictive control
smartphone
trajectory tracking
energy consumption
Opis:: In this paper, the design and implementation of a nonlinear model‐based predictive controller (NMPC) for predefined trajectory tracking and to minimize the control effort of a smartphone‐based quadrotor are developed. The optimal control actions are calculated in each iteration by means of an optimal control algorithm based on the non‐linear model of the quadrotor, considering some aerodynamic effects. Control algorithm implementation and simulation tests are executed on a smartphone using the CasADi framework. In addition, a technique for estimating the energy consumed based on control signals is presented. NMPC controller performance was compared with other works developed towards the con‐ trol of quadrotors, based on an H∞ controller and an LQI controller, and using three predefined trajectories, where the NMPC average tracking error was around 50% lower, and average estimated power and energy consumption slightly higher, with respect to the H∞ and LQI controllers.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2022, 16, 4; 13--18
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 5.

Tytuł:: Neural Network Identifier of a Four-wheeled Mobile Robot Subject to Wheel Slip
Autorzy:: Hendzel, Z
Trojnacki, M.
Powiązania:: https://bibliotekanauki.pl/articles/384453.pdf
Data publikacji:: 2014
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: mobile robot
tracking control
wheels’ slip
neural network
Lyapunov stability
Opis:: The paper presents a sequential neural network (NN) identification scheme for the four-wheeled mobile robot subject to wheel slip. The sequential identification scheme, different from conventional methods of optimization of a cost function, attempts to ensure stability of the overall system while the neural network learns the nonlinearities of the mobile robot. An on-line weight learning algorithm is developed to adjust the weights so that the identified model can adapt to variations of the characteristics and operating points in the four-wheeled mobile robot. The proposed identification system that can guarantee stability is derived from the Lyapunov stability theory. Computer simulations have been conducted to illustrate the performance of the proposed solution by a series of experiments on the emulator of the wheeled mobile robot.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2014, 8, 4; 24-30
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 6.

Tytuł:: Automated tracking and real time following of moving person for robotics applications
Autorzy:: Patoliya, Jignesh J.
Mewada, Hiren K.
Powiązania:: https://bibliotekanauki.pl/articles/384835.pdf
Data publikacji:: 2019
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: visual tracking
robot operating system
identity retention
Gaussian Mixture Model
Opis:: Presently the interaction of robots with human plays an important role in various social applications. Reliable tracking is an important aspect for the social robots where robots need to follow the moving person. This paper proposes the implementation of automated tracking and real time following algorithm for robotic automation. Occlusion and identity retention are the major challenges in the tracking process. Hence, a feature set based identity retention algorithm is used and integrated with robot operating system. The tracking algorithm is implemented using robot operating system in Linux and using OpenCV. The tracking algorithm achieved 85% accuracy and 72.30% precision. Further analysis of tracking algorithm corresponds to the integration of ROS and OpenCV is presented. The analysis of tracking algorithm concludes that ROS linking required 0.64% more time in comparison with simple OpenCV code based tracking algorithm.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2019, 13, 4; 31-37
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 7.

Tytuł:: People tracking in video surveillance systems based on artificial intelligence
Autorzy:: Nasry, Abir
Ezzahout, Abderrahmane
Omary, Fouzia
Powiązania:: https://bibliotekanauki.pl/articles/27314232.pdf
Data publikacji:: 2023
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: person tracking
person detection
person identification
video surveillance
artificial intelligence
Opis:: As security is one of the basic human needs, we need security systems that can prevent crimes from happen‐ ing. In general, surveillance videos are used to observe the environment and human behavior in a given location. However, surveillance videos can only be used to record images or videos, without additional information. There‐ fore, more advanced cameras are needed to obtain other additional information such as the position and move‐ ment of people. This research extracted this information from surveillance video footage using a person tracking, detection, and identification algorithm. The framework for these is based on deep learning algorithms, a popu‐ lar branch of artificial intelligence. In the field of video surveillance, person tracking is considered a challenging task. Many computer vision, machine learning, and deep learning techniques have been developed in recent years. The majority of these techniques are based on frontal view images or video sequences. In this work, we will compare some previous work related to the same topic.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2023, 17, 1; 59--68
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 8.

Tytuł:: Integrated and deep learning–based social surveillance system : a novel approach
Autorzy:: Litoriya, Ratnesh
Ramchandani, Dev
Moyal, Dhruvansh
Bothra, Dhruv
Powiązania:: https://bibliotekanauki.pl/articles/27314204.pdf
Data publikacji:: 2022
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: Video Surveillance
object detection
object tracking
YOLO v4 algorithm
OpenCV
Opis:: In industry and research, big data applications are gaining a lot of traction and space. Surveillance videos contribute significantly to big unlabelled data. The aim of visual surveillance is to understand and determine object behavior. It includes static and moving object detection, as well as video tracking to comprehend scene events. Object detection algorithms may be used to identify items in any video scene. Any video surveillance system faces a significant challenge in detecting moving objects and differentiating between objects with same shapes or features. The primary goal of this work is to provide an integrated framework for quick overview of video analysis utilizing deep learning algorithms to detect suspicious activity. In greater applications, the detection method is utilized to determine the region where items are available and the form of objects in each frame. This video analysis also aids in the attainment of security. Security may be characterized in a variety of ways, such as identifying theft or violation of covid protocols. The obtained results are encouraging and superior to existing solutions with 97% accuracy.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2022, 16, 3; 30--39
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 9.

Tytuł:: Robust H∞ fuzzy approach design via Takagi‐Sugeno descriptor model. application for 2‐DOF serial manipulator tracking control
Autorzy:: Thi, Van Anh Nguyen
Pham, Duc Binh
Nguyen, Danh Huy
Nguyen, Tung Lam
Powiązania:: https://bibliotekanauki.pl/articles/27314207.pdf
Data publikacji:: 2022
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: tracking control
serial manipulator robot
fuzzy control
Takagi-Sugeno
Lyapunov stability
Opis:: This paper focuses on trajectory tracking control for ro‐ bot manipulators. While much research has been done on this issue, many other aspects of this field have not been fully addressed. Here, we present a new solution using feedforward controller to eliminate parametric uncer‐ tainties and unknown disturbances. The Takagi‐Sugeno fuzzy descriptor system (TSFDS) is chosen to describe the dynamic characteristics of the robot. The combination of this fuzzy system and the robust H∞ performance makes the system almost isolated from external factors. The li‐ near matrix inequalities based on the theory of Lyapunov stability is considered for control design. The proposed method has proven its effectiveness through simulation results.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2022, 16, 3; 22--29
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 10.

Tytuł:: A Time optimal path planning for trajectory tracking of wheeled mobile robots
Autorzy:: Vivekananthan, R.
Karunamoorthy, L.
Powiązania:: https://bibliotekanauki.pl/articles/384765.pdf
Data publikacji:: 2011
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: wheeled robot
time optimal
trajectory tracking
motion control
fuzzy logic algorithm
Matlab environment
Opis:: Avariety of approaches for trajectory tracking control of wheeled mobile robots have been implemented. This paper presents a model for a time optimal motion control based on fuzzy logic algorithm for a three wheeled nonholonomic mobile robot with desired function. Simplified kinematic equations of a differentially driven robot are designed to follow the path with evaluated linear and angular velocities. Here, the proposed kinematic model is based on a simple geometric approach for getting the desired position and orientation. The speeds are varied depending on the variations in the path and on the posture of the robot. The robot is subjected to move in a constrained workspace. The control architecture was developed based on fuzzy logic algorithm to obtain time optimal motion control of robot trajectory tracking. The kinematic model was done on Matlab software environment and profound impact on the ability of the nonholonomic mobile robot to track the path was evaluated.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2011, 5, 2; 35-41
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 11.

Tytuł:: Multiaspect Text Categorization Problem Solving: a Nearest Neighbours Classifier Based Approaches and Beyond
Autorzy:: Zadrożny, S.
Kacprzyk, J.
Gajewski, M.
Powiązania:: https://bibliotekanauki.pl/articles/950980.pdf
Data publikacji:: 2015
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: text categorization
intelligent system
nearest neighbours classifiers
topic tracking and detection
fuzzy majority
Opis:: We deal with the problem of the multiaspect text categorization which calls for the classification of the documents with respect to two, in a sense, orthogonal sets of categories. We briefly define the problem, mainly referring to our previous work, and study the application of the k- nearest neighbours algorithm. We propose a new technique meant to enhance the effectiveness of this algorithm when applied to the problem in question. We show some experimental results confirming usefulness of the proposed approach.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2015, 9, 4; 58-70
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 12.

Tytuł:: Control of a drone: study and analysis of the robustness
Autorzy:: Zemalache, K. M.
Beji, L.
Maaref, H.
Powiązania:: https://bibliotekanauki.pl/articles/384519.pdf
Data publikacji:: 2008
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: self-tunable fuzzy interference system
static feedback linearization controller
tracking control
dynamic systems
drone
Opis:: The work describes an automatically on-line Self-Tunnable Fuzzy Interference Systems (STFIS) of a new configuration of mini-flying called XSF (X4 Stationary Flyer) drone. A Fuzzy controller based on-line optimization of a zero order Takagi-Sugeno fuzzy interference system (FIS) by a back propagation like algorithm is successfully applied. It is used to minimize a cost function that is made up of a quadratic error term and a weight decay term that prevents an excessive growth of parameters. Thus, we carried out control for helical trajectories by using the STFIS technique. This permits to prove the effectiveness of the proposed control law. Simulation results and a comparison with a Static Feedback Linearization controller (SFL) are presented and discussed. We studied the robustness of the two used controllers in the presence of disturbances. We presented the case of an engine breakdown as well as a gust of wind and taking into account white noise disturbances.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2008, 2, 1; 33-42
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 13.

Tytuł:: Intelligent PI controller and its application to dissolved oxygen tracking problem
Autorzy:: Zubowicz, T.
Brdys, M. A.
Piotrowski, R.
Powiązania:: https://bibliotekanauki.pl/articles/384365.pdf
Data publikacji:: 2010
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: aeration process
artificial intelligence
control systems
dissolved oxygen
tracking problem
fuzzy logic controller
genetic algorithms
intelligent control
Takagi Sugeno Kang method
TSK
soft switching
wastewater treatment
Opis:: The paper addresses design, calibration, implementation and simulation of the intelligent PI controller used for dissolved oxygen (DO) tracking at wastewater treatment plant (WWTP). The calibration process presented in this paper utilizes both engineering and scientific methods. Verification of the control system design method was obtained via simulation experiments.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2010, 4, 3; 16-24
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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