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...
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.
Existing studies on indoor position recognition employ diverse evaluation methods, which complicates direct accuracy comparisons across techniques. To address this issue, this study proposes a novel framework for eval...
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Existing studies on indoor position recognition employ diverse evaluation methods, which complicates direct accuracy comparisons across techniques. To address this issue, this study proposes a novel framework for evaluating the accuracy of indoor position recognition methods. The proposed framework evaluates accuracy by using the position recognition results of a grid-pattern-tracking autonomous mobile robot (GPT-AMR) as a benchmark. To validate the proposed evaluation method, a comparative analysis was conducted on four position recognition algorithms: (1) a computervision-based algorithm, (2) a Bluetooth Low Energy (BLE)-based trilateration algorithm, (3) a BLE-based adaptive trilateration algorithm, and (4) a least squares method (LSM)-based algorithm. Experimental results demonstrated that the proposed evaluation method, which employs GPT-AMR, offers improved speed, accuracy, and practical applicability compared to conventional approaches. Furthermore, this method enables objective comparisons and evaluations of a wide range of indoor position recognition technologies, including both computervision- and BLE-based algorithms, using a standardized criterion. Future research will focus on systematically validating the generalizability of the proposed method across different indoor environments and operational conditions. This study aims to advance indoor position recognition technology for autonomous mobile robots (AMRs) and improve their applicability in various service robotics domains.
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 ...
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The proceedings contain 38 papers from the Proceedings of SPIE: intelligentrobots and computervision XXII: algorithms, techniques, and Active vision. The topics discussed include: advances in learning for intelligen...
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The proceedings contain 38 papers from the Proceedings of SPIE: intelligentrobots and computervision XXII: algorithms, techniques, and Active vision. The topics discussed include: advances in learning for intelligent mobile robots;advanced remote operation of swarms of robots;a method for integrating vision and laser range measurements in autonomous ground robotic vehicles;calculation of the shortest-time path for traversal of an obstacle course by a robot;autonomous robot vision software design using Matlab toolboxes;visual terrain mapping for traversable path planning of mobile robots;segmentation algorithm for objects with very low edge contrast;and Bayesian stereo: 3D vision designed for sensor fusion.
The proceedings contains 53 papers from the SPIE Conference on intelligentrobots and computervision XVII: algorithms, techniques, and Active vision. Topics discussed include: planetary rovers for long-range Mars sci...
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The proceedings contains 53 papers from the SPIE Conference on intelligentrobots and computervision 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 computervision;3D visualization for intelligent robotics;active robotic vision;and image segmentation in computervision.
The proceedings contains 60 papers from the Proceedings of SPIE: intelligentrobots and computervision XX: algorithms, techniques, and Active vision. Topics discussed include: feature reduction methods for hyperspect...
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The proceedings contains 60 papers from the Proceedings of SPIE: intelligentrobots and computervision XX: algorithms, techniques, and Active vision. Topics discussed include: feature reduction methods for hyperspectral data;Bayesian object matching based on MCMC sampling and Gabor filters;Omnivision-based autonomous mobile robotic platform and case study of rotating sonar sensor application in unmanned automated guided vehicle.
The conference materials contain 71 papers. The main topics covered include pattern recognition in computervision;locating edges, lines curves, and surfaces in robotic vision;segmentation, motion, and color technique...
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ISBN:
(纸本)0819410268
The conference materials contain 71 papers. The main topics covered include pattern recognition in computervision;locating edges, lines curves, and surfaces in robotic vision;segmentation, motion, and color techniques;morphological processing for intelligent robotics;sensory robotics and control: vision, collision avoidance, path planning;visual servoing in automated manufacturing;and active vision.
The proceedings contains 58 papers. Following topics are discussed: pattern recognition in intelligent robotics;obtaining and processing 3D robotic data;stereo processing in robotics;neural nets in computervision and...
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ISBN:
(纸本)0819423068
The proceedings contains 58 papers. Following topics are discussed: pattern recognition in intelligent robotics;obtaining and processing 3D robotic data;stereo processing in robotics;neural nets in computervision and robotics;control, manipulation, and navigation robotics, use of color in computervision and robotics;active vision;and robotics and inspection applications and hardware.
This conference proceedings contain 70 papers. Topics covered include:Pattern recognition in intelligent robotics;Active vision and control;Color image processing;Systems and applications;Robotic navigation, path plan...
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ISBN:
(纸本)0819419524
This conference proceedings contain 70 papers. Topics covered include:Pattern recognition in intelligent robotics;Active vision and control;Color image processing;Systems and applications;Robotic navigation, path planning, and use of motion and image sequences;3D modeling and data processing for robotics and machine vision;Three dimensional pattern recognition for intelligentrobots;Neural nets for pattern recognition and machine vision;Feature extraction;and;Detection and segmentation in machine vision.
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 computervision and deep learning al...
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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 computervision 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.
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