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

共 373 条记录，以下是1-10 订阅

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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...

引用

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

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

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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

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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 SPIE-IS and T Electronic Imaging - intelligent robots and computer vision xxix: algorithms and techniques

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

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intelligent robots and computer vision xxix: algorithms and techniques

ISBN: (纸本)9780819489487

The proceedings contain 39 papers. The topics discussed include: software-based neural network assisted movement compensation for nanoresolution piezo actuators;traffic monitoring with distributed smart cameras;efficient hybrid monocular-stereo approach to on-board video-based traffic sign detection and tracking;a general model and calibration method for spherical stereoscopic vision;an approach to stereo-point cloud registration using image homographies;hazardous sign detection for safety applications in traffic monitoring;red-light traffic enforcement at railway crossings;image projection clues for improved real-time vehicle tracking in tunnels;decentralized tracking of humans using a camera network;real-time detection of traffic events using smart cameras;vehicle tracking data for calibrating microscopic traffic simulation models;and detection of unknown targets from aerial camera and extraction of simple object fingerprints for the purpose of target reacquisition.

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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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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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Hierarchical Loop Detection for Mobile Outdoor robots

Hierarchical Loop Detection for Mobile Outdoor Robots

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conference on intelligent robots and computer vision xxix - algorithms and techniques

作者： Lang, Dagmar Winkens, Christian Haeselich, Marcel Paulus, Dietrich Univ Koblenz Landau AGAS Robot Act Vis Grp D-56070 Koblenz Germany

ISBN: (纸本)9780819489487

Loop closing is a fundamental part of 3D simultaneous localization and mapping (SLAM) that can greatly enhance the quality of long-term mapping. It is essential for the creation of globally consistent maps. Conceptually, loop closing is divided into detection and optimization. Recent approaches depend on a single sensor to recognize previously visited places in the loop detection stage. In this study, we combine data of multiple sensors such as GPS, vision, and laser range data to enhance detection results in repetitively changing environments that are not sufficiently explained by a single sensor. We present a fast and robust hierarchical loop detection algorithm for outdoor robots to achieve a reliable environment representation even if one or more sensors fail.

关键词： ring closing Detection algorithms Loops Robot Sensors Outdoors simultaneous localization and mapping Hierarchical Range of a function

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Design and Realization of an intelligent Ground Vehicle with Modular Payloads

Design and Realization of an Intelligent Ground Vehicle with...

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conference on intelligent robots and computer vision xxix - algorithms and techniques

作者： Akmanalp, Mehmet A. Doherty, Ryan M. Gorges, Jeffrey Kalauskas, Peter Peterson, Ellen Polido, Felipe Nestinger, Stephen S. Padir, Taskin Worcester Polytech Inst Robot Engn Program Worcester MA 01609 USA

ISBN: (纸本)9780819489487

In June 2011, Worcester Polytechnic Institute's (WPI) unmanned ground vehicle Prometheus participated in the 8th Annual Robotic Lawnmower and 19th Annual intelligent Ground Vehicle Competitions back-to-back. This paper details the two-year design and development cycle for WPI's intelligent ground vehicle, Prometheus. The on-board intelligence algorithms include lane detection, obstacle avoidance, path planning, world representation and waypoint navigation. The authors present experimental results and discuss practical implementations of the intelligence algorithms used on the robot.

关键词： Autonomous ground vehicle modular payloads path planning

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Optimizing a Mobile Robot Control System using GPU Acceleration

Optimizing a Mobile Robot Control System using GPU Accelerat...

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conference on intelligent robots and computer vision xxix - algorithms and techniques

作者： Tuck, Nat McGuinness, Michael Martin, Fred Univ Massachusetts Lowell Lowell MA 01854 USA

ISBN: (纸本)9780819489487

This paper describes our attempt to optimize a robot control program for the intelligent Ground Vehicle Competition (IGVC) by running computationally intensive portions of the system on a commodity graphics processing unit (GPU). The IGVC Autonomous Challenge requires a control program that performs a number of different computationally intensive tasks ranging from computer vision to path planning. For the 2011 competition our Robot Operating System (ROS) based control system would not run comfortably on the multicore CPU on our custom robot platform. The process of profiling the ROS control program and selecting appropriate modules for porting to run on a GPU is described. A GPU-targeting compiler, Bacon, is used to speed up development and help optimize the ported modules. The impact of the ported modules on overall performance is discussed. We conclude that GPU optimization can free a significant amount of CPU resources with minimal effort for expensive user-written code, but that replacing heavily-optimized library functions is more difficult, and a much less efficient use of time.

关键词： robotics stereo vision GPU acceleration

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