Relevant bibliographies by topics / Vision control algorithm

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Vision control algorithm'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Vision control algorithm"

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Kuzmicki, Dominik, and Dzmitry Sidorchik. "Vision System for Product Quality Control." Mokslas - Lietuvos ateitis 9, no. 3 (2017): 293–96. http://dx.doi.org/10.3846/mla.2017.1040.

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The article presents an algorithm of comparison of shots of a current video to a given template. The identity is represented by the coefficient of correlation. The practical realization of the given algorithm was performed in the Simulink package of the program Matlab. This algorithm can be used to perform tasks such as checking the availability of the necessary components, reading the text and barcodes, size measurement, alignment check, as well as detection of defects.
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SZABO, R., and A. GONTEAN. "Robotic Arm Control Algorithm Based on Stereo Vision Using RoboRealm Vision." Advances in Electrical and Computer Engineering 15, no. 2 (2015): 65–74. http://dx.doi.org/10.4316/aece.2015.02009.

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Chen, Muji. "Recognition and Localization of Target Images for Robot Vision Navigation Control." Journal of Robotics 2022 (March 24, 2022): 1–12. http://dx.doi.org/10.1155/2022/8565913.

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This paper focuses on a visual navigation control system for mobile robots, recognizing target images and intelligent algorithms for the navigation system’s path tracking and localization techniques. This paper examines the recognition and localization of target images based on the visual navigation control of mobile robots. It proposes an efficient marking line method for recognizing and localization target images. Meanwhile, a fuzzy control method with smooth filtering and high efficiency is designed to improve the stability of robot operation, and the feasibility is verified in different sc
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Jeong, Hyeok-June, Jeong Dan Choi, and Young-Guk Ha. "Vision Based Displacement Detection for Stabilized UAV Control on Cloud Server." Mobile Information Systems 2016 (2016): 1–11. http://dx.doi.org/10.1155/2016/8937176.

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Nowadays, image processing solution is used in many fields such as traffic information systems and illegal intrusion detection systems. Now, to assist with the control of camera-equipped devices, appropriate image processing techniques are needed for moving rather than fixed observers. For achieving this goal, an algorithm should derive the desired results quickly and accurately; thus, this paper considers two characteristics: functional performance (reliability) and temporal performance (efficiency). Reliability means how well the desired results can be achieved, and efficiency means how quic
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Pietrzak, K. A., and S. M. Packer. "Vision-Based Weld Pool Width Control." Journal of Engineering for Industry 116, no. 1 (1994): 86–92. http://dx.doi.org/10.1115/1.2901813.

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Methods for controlling weld penetration for arc welding processes from top-side measurements have long been sought. One indirect variable that has been reported to correlate with penetration is weld pool geometry. A system which uses weld pool geometry sensing for controlling weld penetration is described in this paper. The system uses a miniature camera mounted in a modified coaxial viewing torch to view the weld pool. A robust machine vision algorithm has been developed for this system to measure weld pool width. The algorithm was designed to locate the edges of the weld pool despite the pr
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Brambilla, Paolo, Chiara Conese, Davide Maria Fabris, Paolo Chiariotti, and Marco Tarabini. "Algorithms for Vision-Based Quality Control of Circularly Symmetric Components." Sensors 23, no. 5 (2023): 2539. http://dx.doi.org/10.3390/s23052539.

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Quality inspection in the industrial production field is experiencing a strong technological development that benefits from the combination of vision-based techniques with artificial intelligence algorithms. This paper initially addresses the problem of defect identification for circularly symmetric mechanical components, characterized by the presence of periodic elements. In the specific case of knurled washers, we compare the performances of a standard algorithm for the analysis of grey-scale image with a Deep Learning (DL) approach. The standard algorithm is based on the extraction of pseud
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Cosenza, Chiara, Armando Nicolella, Daniele Esposito, Vincenzo Niola, and Sergio Savino. "Mechanical System Control by RGB-D Device." Machines 9, no. 1 (2020): 3. http://dx.doi.org/10.3390/machines9010003.

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Computer vision for control is a growing domain of research and it is widespread in industry and the autonomous vehicle field. A further step is the employment of low-cost cameras to perform these applications. To apply such an approach, the development of proper algorithms to interpret vision data is mandatory. Here, we firstly propose the development of an algorithm to measure the displacement of a mechanical system in contactless mode. Afterwards, we show two procedures that use a 3D camera as a feedback in control strategies. The first one aims to track a moving object. In the second one,
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Ho, Chao Ching, and C. L. Shih. "Machine Vision Based Tracking Control of a Ball-Beam System." Key Engineering Materials 381-382 (June 2008): 301–4. http://dx.doi.org/10.4028/www.scientific.net/kem.381-382.301.

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The dynamic behavior of a ball-beam system is highly nonlinear and its characteristic is difficult to define. In this paper we present a new ball-beam balancing control system using machine vision to feedback the beam angle and ball position on the beam. Adaptive threshold based continuously mean shift vision tracking algorithm is applied to record the ball position and the beam angle with highly captured frame-rate. The proposed vision tracking algorithm is tolerant to lighting influence, highly computing efficiency and more robust than traditional template pattern matching or edge detection
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Quoc Chi, Nguyen, and Nguyen Tien Khang. "A vision anti-sway control algorithm for container cranes." Science and Technology Development Journal 20, K1 (2017): 35–41. http://dx.doi.org/10.32508/stdj.v20ik1.410.

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 In this paper, a control scheme is proposed for an automated container crane. The proposed control scheme includes position control (for the trolley) and sway control algorithms (for the payload) where PID control is used for position control and PD control is assigned for sway control. The proposed control scheme employs the feedback signal of the sway angle, which is acquired by a vision system. The idea to employ the vision system is to overcome the difficulty in installing a conventional sensor system for measuring the sway angle. Numerical simulations and experiments
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Lebedev, A. O., and V. V. Vasil’ev. "UAV Control Algorithm in Automatic Mode Using Computer Vision." Optoelectronics, Instrumentation and Data Processing 57, no. 4 (2021): 406–11. http://dx.doi.org/10.3103/s8756699021040075.

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Dissertations / Theses on the topic "Vision control algorithm"

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Bergendahl, Jason Robert. "A computationally efficient stereo vision algorithm for adaptive cruise control." Thesis, Massachusetts Institute of Technology, 1997. http://hdl.handle.net/1721.1/43389.

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Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1997.<br>Includes bibliographical references (p. 55-56).<br>by Jason Robert Bergendahl.<br>M.S.
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Bowers, Roshawn Elizabeth. "Estimation algorithm for autonomous aerial refueling using a vision based relative navigation system." Texas A&M University, 2005. http://hdl.handle.net/1969.1/2700.

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A new impetus to develop autonomous aerial refueling has arisen out of the growing demand to expand the capabilities of unmanned aerial vehicles (UAVs). With autonomous aerial refueling, UAVs can retain the advantages of being small, inexpensive, and expendable, while offering superior range and loiter-time capabilities. VisNav, a vision based sensor, offers the accuracy and reliability needed in order to provide relative navigation information for autonomous probe and drogue aerial refueling for UAVs. This thesis develops a Kalman filter to be used in combination with the VisNav sensor to imp
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Li, Songwei. "The Design and Implementation of an Effective Vision-Based Leader-Follower Tracking Algorithm Using PI Camera." Thesis, University of North Texas, 2016. https://digital.library.unt.edu/ark:/67531/metadc862851/.

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The thesis implements a vision-based leader-follower tracking algorithm on a ground robot system. One camera is the only sensor installed the leader-follower system and is mounted on the follower. One sphere is the only feature installed on the leader. The camera identifies the sphere in the openCV Library and calculates the relative position between the follower and leader using the area and position of the sphere in the camera frame. A P controller for the follower and a P controller for the camera heading are built. The vision-based leader-follower tracking algorithm is verified according t
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Tippetts, Beau J. "Real-Time Implementation of Vision Algorithm for Control, Stabilization, and Target Tracking for a Hovering Micro-UAV." BYU ScholarsArchive, 2008. https://scholarsarchive.byu.edu/etd/1418.

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A lightweight, powerful, yet efficient quad-rotor platform was designed and constructed to obtain experimental results of completely autonomous control of a hovering micro-UAV using a complete on-board vision system. The on-board vision and control system is composed of a Helios FPGA board, an Autonomous Vehicle Toolkit daughterboard, and a Kestrel Autopilot. The resulting platform is referred to as the Helio-copter. An efficient algorithm to detect, correlate, and track features in a scene and estimate attitude information was implemented with a combination of hardware and software on the FPG
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Petrosyan, Vahan. "Fast, Robust and Scalable Clustering Algorithms with Applications in Computer Vision." Licentiate thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-238512.

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In this thesis, we address a number of challenges in cluster analysis. We begin by investigating one of the oldest and most challenging problems: determining the number of clusters, k. For this problem, we propose a novel solution that, unlike previous techniques, delivers both the number of clusters and the clusters in one-shot (in contrast, conventional techniques run a given clustering algorithm several times for different values of k, and/or for several initialization with the same k). The second challenge we treat is the drawback, briefly mentioned above, of many conventional iterative cl
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Hol, Jeroen Diederik. "Pose Estimation and Calibration Algorithms for Vision and Inertial Sensors." Licentiate thesis, Linköping University, Linköping University, Automatic Control, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-11842.

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<p>This thesis deals with estimating position and orientation in real-time, using measurements from vision and inertial sensors. A system has been developed to solve this problem in unprepared environments, assuming that a map or scene model is available. Compared to ‘camera-only’ systems, the combination of the complementary sensors yields an accurate and robust system which can handle periods with uninformative or no vision data and reduces the need for high frequency vision updates.</p><p>The system achieves real-time pose estimation by fusing vision and inertial sensors using the framework
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Öfjäll, Kristoffer. "LEAP, A Platform for Evaluation of Control Algorithms." Thesis, Linköping University, Department of Electrical Engineering, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-56733.

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<p>Most people are familiar with the BRIO labyrinth game and the challenge of guiding the ball through the maze. The goal of this project was to use this game to create a platform for evaluation of control algorithms. The platform was used to evaluate a few different controlling algorithms, both traditional automatic control algorithms as well as algorithms based on online incremental learning.</p><p>The game was fitted with servo actuators for tilting the maze. A camera together with computer vision algorithms were used to estimate the state of the game. The evaluated controlling algorithm ha
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Bdiwi, Mohamad. "Development of Integration Algorithms for Vision/Force Robot Control with Automatic Decision System." Doctoral thesis, Universitätsbibliothek Chemnitz, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-150231.

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In advanced robot applications, the challenge today is that the robot should perform different successive subtasks to achieve one or more complicated tasks similar to human. Hence, this kind of tasks required to combine different kind of sensors in order to get full information about the work environment. However, from the point of view of control, more sensors mean more possibilities for the structure of the control system. As shown previously, vision and force sensors are the most common external sensors in robot system. As a result, in scientific papers it can be found numerous control algo
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Li, Yunming. "Machine vision algorithms for mining equipment automation." Thesis, Queensland University of Technology, 2000.

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Southall, John Benjamin. "The development and evaluation of computer vision algorithms for the control of an autonomous horticultural vehicle." Thesis, University College London (University of London), 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.313352.

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Books on the topic "Vision control algorithm"

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service), SpringerLink (Online, ed. Control, Computation and Information Systems: First International Conference on Logic, Information, Control and Computation, ICLICC 2011, Gandhigram, India, February 25-27, 2011. Proceedings. Springer Berlin Heidelberg, 2011.

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Corke, Peter I. Robotics, vision and control: Fundamental algorithms in MATLAB. Springer, 2011.

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Corke, Peter I. Robotics, vision and control: Fundamental algorithms in MATLAB. Springer, 2011.

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Song, Dezhen. Sharing a Vision: Systems and Algorithms for Collaboratively-Teleoperated Robotic Cameras. Springer Berlin Heidelberg, 2009.

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Bobyr', Maksim, Sergey Emel'yanov, and Natal'ya Milostnaya. Automated fuzzy logic control systems and methods of their sensitization. INFRA-M Academic Publishing LLC., 2025. https://doi.org/10.12737/2162831.

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The monograph is devoted to the methods of designing automated fuzzy logic control systems and methods of their sensing using vision systems. The presented methods, mathematical models, algorithms, and fuzzy logic control systems based on them differ from the known ones by automatically correcting the parameters of the cutting mode, taking into account the disturbing effects acting on the control object in real time. It is addressed to scientists, engineers, graduate students and students of technical specialties interested in fuzzy logic, control theory, stability of complex systems and manag
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Dirik, Mahmut, Oscar Castillo, and Fatih Kocamaz. Vision-Based Mobile Robot Control and Path Planning Algorithms in Obstacle Environments Using Type-2 Fuzzy Logic. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69247-6.

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Jähne, Bernd. Digital image processing: Concepts, algorithms, and scientific applications. Springer-Verlag, 1991.

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Jähne, Bernd. Digital image processing: Concepts, algorithms, and scientific applications. 3rd ed. Springer-Verlag, 1995.

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Jähne, Bernd. Digital image processing: Concepts, algorithms, and scientific applications. 2nd ed. Springer-Verlag, 1993.

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ZHU, [. AO ]. Peter Corke. Robotics. machine vision and control -- Based on the MATLAB algorithm. Electronic Industry Publishing House, 2016.

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Book chapters on the topic "Vision control algorithm"

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Rosenthal, Joachim. "An Algebraic Decoding Algorithm for Convolutional Codes." In Dynamical Systems, Control, Coding, Computer Vision. Birkhäuser Basel, 1999. http://dx.doi.org/10.1007/978-3-0348-8970-4_16.

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Kuijper, Margreet. "The Berlekamp-Massey algorithm, error-correction, keystreams and modeling." In Dynamical Systems, Control, Coding, Computer Vision. Birkhäuser Basel, 1999. http://dx.doi.org/10.1007/978-3-0348-8970-4_15.

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Kartsov, S. K., D. Yu Kupriyanov, Yu A. Polyakov, and A. N. Zykov. "Non-local Means Denoising Algorithm Based on Local Binary Patterns." In Computer Vision in Control Systems—6. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39177-5_12.

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Narmadha, R., G. D. Anbarasi Jebaselvi, and U. Anitha. "Composition of Robotic Arm Control and Color Identification Using Machine Learning Algorithm." In Computer Vision and Robotics. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-8225-4_15.

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Binh, Pham Thanh, Dao Huy Du, and Tang Cam Nhung. "Control and Optimize Black Tea Fermentation Using Computer Vision and Optimal Control Algorithm." In Advances in Engineering Research and Application. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-37497-6_36.

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Scaff, William, Marcos de Sales Guerra Tsuzuki, and Oswaldo Horikawa. "Shrinking Window Optimization Algorithm Applied to Pneumatic Artificial Muscle Position Control." In Lecture Notes in Computational Vision and Biomechanics. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-43195-2_14.

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Yu, Ke, Zhisheng Zhang, Zhiting Zhou, and Min Dai. "A Modified Bresenham Algorithm for Control System of FDM Three-Dimensional Printer." In Mechatronics and Machine Vision in Practice 4. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-43703-9_11.

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Hongqiang, Zhou, and Dahaman Ishak. "A Novel Fuzzy PID Control Algorithm of BLDC Motor." In Proceedings of the 12th International Conference on Robotics, Vision, Signal Processing and Power Applications. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-9005-4_9.

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Patgar, Tanuja, and Devi CS Kavitha. "Vision of Intelligent Control and Tracking Rail System: Global Evident Data." In On-Board Design Models and Algorithm for Communication Based Train Control and Tracking System. CRC Press, 2022. http://dx.doi.org/10.1201/9781003294016-1.

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Zhang, S., Z. Chen, K. Granland, Y. Tang, and C. Chen. "Machine Vision-Based Scanning Strategy for Defect Detection in Post-Additive Manufacturing." In Lecture Notes in Civil Engineering. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-3330-3_28.

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AbstractThe surge in 3D printer availability, and its applications over the past decade as an alternative to industry-standard subtractive manufacturing, has revealed a lack of post-manufacturing quality control. Developers have looked towards automated machine learning (ML) and machine-vision algorithms, which can be effective in developing such additive manufacturing (AM) technologies for industry-wide adoption. Currently, most research has explored in-situ monitoring methods, which aim to detect printing errors during manufacturing. A significant limitation is the single, fixed monitoring a
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Conference papers on the topic "Vision control algorithm"

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Yuan, Mingchen, and Guoliang Chen. "Root canal imaging based on active vision." In 4th International Conference on Automation Control. Algorithm and Intelligent Bionics, edited by Jing Na and Shuping He. SPIE, 2024. http://dx.doi.org/10.1117/12.3039722.

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Zhang, Zihao, and Guoliang Chen. "Robot-assisted instrument delivery method based on composite vision guidance." In 4th International Conference on Automation Control. Algorithm and Intelligent Bionics, edited by Jing Na and Shuping He. SPIE, 2024. http://dx.doi.org/10.1117/12.3039373.

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Zhiyong, Li, Lyu Tangfeng, and Yao Chao. "Research on Control Law of Iterative Learning Model Predictive Control Method Based on State-Space Model." In 2025 International Conference on Algorithm, Artificial Intelligence and Computer Vision (AAICV). IEEE, 2025. https://doi.org/10.1109/aaicv66571.2025.00016.

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Zhang, Wei, Wanlong Dong, Fengying Ma, and Peng Ji. "Research on Unmanned Aerial Vehicle Attitude Estimation Algorithm Based on Monocular Vision." In 2024 43rd Chinese Control Conference (CCC). IEEE, 2024. http://dx.doi.org/10.23919/ccc63176.2024.10661906.

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Li, Ruilong. "ORB image feature extraction algorithm based on fuzzy control." In Third International Conference on Machine Vision, Automatic Identification and Detection, edited by Renchao Jin. SPIE, 2024. http://dx.doi.org/10.1117/12.3035827.

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Carpenter, Steven, Xinming Yu, Melih Altun, James Graham, J. Jim Zhu, and Janusz Starzyk. "Vision Guided Motion Control of a Biomimetic Quadruped Robot: RoboCat." In ASME 2011 International Mechanical Engineering Congress and Exposition. ASMEDC, 2011. http://dx.doi.org/10.1115/imece2011-63805.

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This paper presents the vision system and visual processing for a biomimetic elastic cable-driven quadruped robot—RoboCat. The paper is geared towards selection of appropriate visual servoing techniques for RoboCat such as vision algorithms, high-level cognition algorithms, software architecture and hardware implementation. The system uses two video cameras for stereo vision data acquisition and a SUMIT-ism form factor embedded computer for vision data processing. The vision system employs a color based target recognition algorithm, a neural network based shape recognition algorithm and a Colo
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Kumar, Anil, Hailin Ren, and Pinhas Ben-Tzvi. "Obstacle Identification for Vision Assisted Control Architecture of a Hybrid Mechanism Mobile Robot." In ASME 2017 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/dscc2017-5324.

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This paper presents a monocular vision-based, unsupervised floor detection algorithm for semi-autonomous control of a Hybrid Mechanism Mobile Robot (HMMR). The paper primarily focuses on combining monocular vision cues with inertial sensing and ultrasonic ranging for on-line obstacle identification and path planning in the event of limited wireless connectivity. A novel, unsupervised vision algorithm was developed for floor detection and identifying traversable areas, in order to avoid obstacles in semi-autonomous control architecture. The floor detection algorithms were validated and experime
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Wu, Yung-Gi, and Kuo-Lun Fan. "Fast vector quantization by mean value predictive algorithm." In Quality Control by Artificial Vision, edited by Kenneth W. Tobin, Jr. and Fabrice Meriaudeau. SPIE, 2003. http://dx.doi.org/10.1117/12.515227.

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Yang, Shiueng B., and Yi L. Lee. "Genetic clustering algorithm for searching the nonspherically shaped clusters." In Quality Control by Artificial Vision, edited by Kenneth W. Tobin, Jr. and Fabrice Meriaudeau. SPIE, 2003. http://dx.doi.org/10.1117/12.515165.

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Zhu, Yifeng, and Ziwei Zhao. "Research on Face Recognition Algorithm for Robot Vision." In 2019 Chinese Control And Decision Conference (CCDC). IEEE, 2019. http://dx.doi.org/10.1109/ccdc.2019.8833263.

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Reports on the topic "Vision control algorithm"

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Huang, Haohang, Erol Tutumluer, Jiayi Luo, Kelin Ding, Issam Qamhia, and John Hart. 3D Image Analysis Using Deep Learning for Size and Shape Characterization of Stockpile Riprap Aggregates—Phase 2. Illinois Center for Transportation, 2022. http://dx.doi.org/10.36501/0197-9191/22-017.

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Riprap rock and aggregates are extensively used in structural, transportation, geotechnical, and hydraulic engineering applications. Field determination of morphological properties of aggregates such as size and shape can greatly facilitate the quality assurance/quality control (QA/QC) process for proper aggregate material selection and engineering use. Many aggregate imaging approaches have been developed to characterize the size and morphology of individual aggregates by computer vision. However, 3D field characterization of aggregate particle morphology is challenging both during the quarry
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Тарасова, Олена Юріївна, and Ірина Сергіївна Мінтій. Web application for facial wrinkle recognition. Кривий Ріг, КДПУ, 2022. http://dx.doi.org/10.31812/123456789/7012.

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Facial recognition technology is named one of the main trends of recent years. It’s wide range of applications, such as access control, biometrics, video surveillance and many other interactive humanmachine systems. Facial landmarks can be described as key characteristics of the human face. Commonly found landmarks are, for example, eyes, nose or mouth corners. Analyzing these key points is useful for a variety of computer vision use cases, including biometrics, face tracking, or emotion detection. Different methods produce different facial landmarks. Some methods use only basic facial landmar
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Pasupuleti, Murali Krishna. AI-Driven Automation: Transforming Industry 5.0 withMachine Learning and Advanced Technologies. National Education Services, 2025. https://doi.org/10.62311/nesx/rr225.

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Abstract: This article delves into the transformative role of artificial intelligence (AI) and machine learning (ML) in shaping Industry 5.0, a paradigm centered on human- machine collaboration, sustainability, and resilient industrial ecosystems. Beginning with the evolution from Industry 4.0 to Industry 5.0, it examines core AI technologies, including predictive analytics, natural language processing, and computer vision, which drive advancements in manufacturing, quality control, and adaptive logistics. Key discussions include the integration of collaborative robots (cobots) that enhance hu
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Cowell, Luke, Alejandro Camou, Ivan Carlos, and Dustin Truesdel. PR-283-16201-R01 Improved SoLoNOx Taurus 60 Control Algorithm to Reduce Part Load Emissions. Pipeline Research Council International, Inc. (PRCI), 2018. http://dx.doi.org/10.55274/r0011510.

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An executed NDA is required from Solar Turbines to have access to this document. The low load control algorithm for Solar Turbines' TaurusTM 60-7802S has been modified and evaluated in a field trial at the TransCanada Glenville Compressor Station. The algorithm has been modified to extend the bleed valve operating range to lower engine speed settings covering operation from idle to 50% load. The pilot fuel schedule has also been optimized with the new bleed valve schedule. The new control algorithm is designated as Enhanced Emissions Control (EEC). A Mobile Emissions Lab (MEL) and three site v
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Cowell and Roesch. PR-283-14204-R01 SoLoNOx Low Load Controls to Reduce Emissions for Less Restrictive Load Following. Pipeline Research Council International, Inc. (PRCI), 2016. http://dx.doi.org/10.55274/r0011016.

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A Mobile Emissions Lab (MEL) and two site visits for extensive low load emissions mapping were used to document the emissions performance of the test unit over a 10 month period from June 2015 to April 2016. Data was collected over a wide ambient temperature range from 35 to 108?F. The field trial has demonstrated that the new algorithm results in a significant reduction in NOx, CO and UHC emissions from idle to 50% load. Reductions in CO and UHC emission of 50 to 99% were demonstrated from idle to 50% load. NOx emissions reductions were slightly less ranging from 20 to 75% from idle to 50% lo
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Vandevort, Daniel T., Chandler S. Engel, and Shaun R. Stanton. A Geospatial Model for Identifying Stream Infrastructure Locations. U.S. Army Engineer Research and Development Center, 2024. http://dx.doi.org/10.21079/11681/49417.

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Abstract:
Management of hydraulic infrastructure for flood control, hydropower, navigation, and water supply is a critical component of the Army Dams and Transportation Infrastructure Program (ADTIP). This project provides a tool to locate stream infrastructure using a one-dimensional approach supplemented with geospatial filtering that only needs digital elevation model (DEM) files as primary input. The regions in and around Forts Liberty, Sill, and Cavazos were selected as study areas, and stream networks with corresponding stream elevation profiles were created and searched for elevation changes that
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7

Vandevort, Daniel, Chandler Engel, and Shaun Stanton. A geospatial model for identifying stream infrastructure locations. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/49190.

Full text
Abstract:
Management of hydraulic infrastructure for flood control, hydropower, navigation, and water supply is a critical component of the Army Dams and Transportation Infrastructure Program (ADTIP). This project provides a tool to locate stream infrastructure using a one-dimensional approach supplemented with geospatial filtering that only needs digital elevation model (DEM) files as primary input. The regions in and around Forts Liberty, Sill, and Cavazos were selected as study areas, and stream networks with corresponding stream elevation profiles were created and searched for elevation changes that
APA, Harvard, Vancouver, ISO, and other styles
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