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检索条件"任意字段=Conference on Intelligent Robots and Computer Vision XXVIII: Algorithms and Techniques"

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ICACS 2024 - Proceedings of the 2024 8th International conference on algorithms, Computing and Systems

ICACS 2024 - Proceedings of the 2024 8th International Confe...

引用

8th International conference on algorithms, Computing and Systems, ICACS 2024

ISBN: (纸本)9798400718304

The proceedings contain 24 papers. The topics discussed include: autonomous floating garbage collection device using computer vision and robotics;coordinated optimization of scheduling and path planning for delivery robots in intelligent manufacturing workshops;a preliminary study of the stressed and drowsy driving prediction models using semi-supervised learning;axial capacity prediction of concrete externally strengthened by low-cost natural fiber reinforced polymer composite utilizing machine learning intelligence;enhancing brain tumor diagnosis: a cutting-edge ensemble deep learning approach;a comparative study of sentiment analysis on twitter and reddit using deep learning techniques;generative artificial intelligence for future education: current research status, hot spots, and research trends;methodological considerations for anonymizing tabular data using generative adversarial networks;and data migration in large scale storage systems with varying file sizes.

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IoT-Based Automation System for Vertical Hydroponic Farms 26

IoT-Based Automation System for Vertical Hydroponic Farms

引用

26th International conference on Industrial Technology, ICIT 2025

作者： Kumburage, D.K. Hewavitharana, H.V.T.G. Perera, M.N.T. Amarasinghe, Y.W.R. Jayathilaka, W.A.D.M. University of Moratuwa Dept. of Mechanical Engineering Sri Lanka

ISBN: (纸本)9798331521950

Greenhouse vertical rack hydroponic systems offer a sustainable and efficient solution for meeting the increasing global food demand. This paper introduces an IoT-integrated automated system designed to perform labor intensive and repetitive tasks in hydroponic farming. The proposed system integrates a robotic platform for transplanting and inspecting plants, as well as an intelligent controller to control and monitor greenhouse conditions and nutrient solution parameters. To enhance performance and accessibility, the system is integrated with an IoT platform, which includes a user-friendly web interface, enabling remote monitoring and control. Key features such as computer vision techniques and advanced control algorithms are implemented to maximize operational efficiency. Experimental results validate its ability to reduce labor, improve productivity, and ensure consistent crop quality. This solution highlights the potential for scalable and sustainable advancements in modern agriculture. © 2025 IEEE.

关键词： intelligent robots

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Proceedings of the 1998 conference on intelligent robots and computer vision XVII: algorithms, techniques, and Active vision

Proceedings of the 1998 Conference on Intelligent Robots and...

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Proceedings of the 1998 conference on intelligent robots and computer vision XVII: algorithms, techniques, and Active vision

The proceedings contains 53 papers from the SPIE conference on intelligent robots and computer vision XVII: algorithms, techniques, and Active vision. Topics discussed include: planetary rovers for long-range Mars science and sample return;pose estimation;geometric and orthogonal moments;Shen-Castan and Canny-Deriche filters;Bayesian neural network learning;robot guidance;face recognition;wireless video monitoring and robot control;image processing for intelligent robotics;robot path planning, guidance and control;color computer vision;3D visualization for intelligent robotics;active robotic vision;and image segmentation in computer vision.

关键词： Robotics

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Proceedings of SPIE-IS and T Electronic Imaging - intelligent robots and computer vision xxviii: algorithms and techniques

Proceedings of SPIE-IS and T Electronic Imaging - Intelligen...

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intelligent robots and computer vision xxviii: algorithms and techniques

ISBN: (纸本)9780819484154

The proceedings contain 32 papers. The topics discussed include: software framework for nano- and microscale measurement applications;a traffic situation analysis system;stereo matching based on two cameras and one 3D image sensor;linear stereo vision based objects detection and tracking using spectral clustering;real-time car detection system;real-time people and vehicle detection from UAV imagery;real-time pose invariant logo and pattern detection;study of temporal modified-RANSAC based method for the extraction and 3D shape reconstruction of moving objects from dynamic stereo images and for estimating the camera pose;a multiple feature based particle filter using mutual information maximization;high precision object segmentation and tracking for use in super resolution video reconstruction;robust pedestrian detection and tracking from a moving vehicle;and a target detection method in multimodal images with complex backgrounds and different views.

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Novel 6D Pose Estimation for Pick-and-Place Tasks using Model-based Learning

Novel 6D Pose Estimation for Pick-and-Place Tasks using Mode...

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intelligent Data Communication Technologies and Internet of Things (IDCIoT), International conference on

作者： Logesh G S. Vinoth Nagarajan Pitchandi A.G. Karthikeyan Computer Science and Business Systems Bannari Amman Institute of Technology Sathyamangalam India Department of Mechatronics Akshaya College of Engineering and Technology Coimbatore India Department of Mechatronics Bannari Amman Institute of Technology Sathyamangalam India School of Mechanical Engineering REVA University Bangalore India

ISBN: (数字)9798331527549

ISBN: (纸本)9798331527556

The paper discusses the problem of creating an autonomous SCARA robot that can precisely carry out pick-and-place operations in unstructured settings. The suggested method combines computer vision and deep learning algorithms to provide accurate 6D pose estimation and reliable object detection. Combining YOLOv8 for object detection, hand-eye calibration for precise transformation to robot coordinates, and Principal Component Analysis (PCA) for orientation estimation within the generated point cloud, a novel method for estimating object pose is presented. Monocular depth estimation techniques are used to extract depth information from RGB images to create point clouds. The results demonstrate the potential of combining advanced algorithms with user-friendly design for robotics automation, showing notable gains in pose estimation accuracy and task execution efficiency.

关键词： Point cloud compression Accuracy Service robots Robot kinematics Pose estimation Object detection Manuals Calibration Reliability Principal component analysis

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intelligent robots and computer vision XXIII: algorithms, techniques, and Active vision: 23-25 October, 2005, Boston, Massachusetts, USA (SPIE conference Proceedings)

Intelligent Robots and Computer Vision XXIII: Algorithms, Te...

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2005年

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IoT-Based Automation System for Vertical Hydroponic Farms

IoT-Based Automation System for Vertical Hydroponic Farms

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IEEE International conference on Industrial Technology (ICIT)

作者： D. K. Kumburage H. V. T. G. Hewavitharana M. N. T. Perera Y. W. R. Amarasinghe W. A. D. M. Jayathilaka Dept. of Mechanical Engineering University of Moratuwa Sri Lanka

ISBN: (数字)9798331521950

ISBN: (纸本)9798331521967

关键词： Productivity Automation Service robots Green products Hydroponics Agriculture Real-time systems Optimization Remote monitoring Farming

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Intuitive control of robotic manipulators

Intuitive control of robotic manipulators

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conference on intelligent robots and computer vision xxviii: algorithms and techniques

作者： Rusbarsky, David Gray, Jeremy Peters, Douglas RE2 Inc 4925 Harrison St Pittsburgh PA 15201 USA US Army TARDEC Warren MI 48397 USA

ISBN: (纸本)9780819484154

As part of the Modular intelligent Manipulation system with Intuitive Control program, industry is working with the U. S. Army to explore technologies that will allow a user to intuitively control multiple degree of freedom robotic arms and maintain better awareness of the operating environment through haptic feedback. In addition to reporting resistance, haptic feedback can help make operators feel like they are actually there with the robot, opening doors, unscrewing blast caps, cutting wires, or removing batteries. Coupled with intuitive controls and advanced video feedback, the goal of this project is to provide users with the sensation that the robot is an extension of their body, all from a safe distance.

关键词： Robotic Manipulation Haptic Feedback Human System Integration computer vision GUI

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A Multiple Feature Based Particle Filter Using Mutual Information Maximization

A Multiple Feature Based Particle Filter Using Mutual Inform...

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conference on intelligent robots and computer vision xxviii: algorithms and techniques

作者： Hong, Kihyun Han, Kyuseo Purdue Univ W Lafayette IN 47907 USA

ISBN: (纸本)9780819484154

In designing a tracking algorithm, utilizing several different features, e. g., color histogram, gradient histogram and other object descriptors, is preferable to increase robustness of tracking performance. In this paper, we propose a multiple feature fusion framework to improve the tracking by assigning appropriate weights to individual features. The feature weights are optimally obtained by a waterfilling procedure that maximizes mutual information between target object features and query features. Especially, in this paper, we focus on a particle filter tracking implementation of the multiple feature fusion framework. Our experiments show that object tracking with multiple features outperforms single feature based tracking methods and illustrates that the proposed optimal feature weighting increases robustness of multiple-feature based tracking performance.

关键词： Particle filters Detection and tracking algorithms Particles Process modeling Algorithm development Signal to noise ratio Visual process modeling computer vision technology Dynamical systems Machine vision

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The 18TH Annual intelligent Ground Vehicle Competition: Trends and Influences for intelligent Ground Vehicle Control

The 18TH Annual Intelligent Ground Vehicle Competition: Tren...

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conference on intelligent robots and computer vision xxviii: algorithms and techniques

作者： Theisen, Bernard L. Frederick, Philip Smuda, William USA TARDEC Warren MI 48397 USA

ISBN: (纸本)9780819484154

The intelligent Ground Vehicle Competition (IGVC) is one of four, unmanned systems, student competitions that were founded by the Association for Unmanned Vehicle Systems International (AUVSI). The IGVC is a multidisciplinary exercise in product realization that challenges college engineering student teams to integrate advanced control theory, machine vision, vehicular electronics and mobile platform fundamentals to design and build an unmanned system. Teams from around the world focus on developing a suite of dual-use technologies to equip ground vehicles of the future with intelligent driving capabilities. Over the past 18 years, the competition has challenged undergraduate, graduate and Ph.D. students with real world applications in intelligent transportation systems, the military and manufacturing automation. To date, teams from over 75 universities and colleges have participated. This paper describes some of the applications of the technologies required by this competition and discusses the educational benefits. The primary goal of the IGVC is to advance engineering education in intelligent vehicles and related technologies. The employment and professional networking opportunities created for students and industrial sponsors through a series of technical events over the four-day competition are highlighted. Finally, an assessment of the competition based on participation is presented.

关键词： intelligent robots autonomous systems ground vehicles vehicle control engineering education IGVC

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