Search results for " Computer"

showing 10 items of 6910 documents

Summarizing Large Scale 3D Point Cloud for Navigation Tasks

2017

International audience; Democratization of 3D sensor devices makes 3D maps building easier especially in long term mapping and autonomous navigation. In this paper we present a new method for summarizing a 3D map (dense cloud of 3D points). This method aims to extract a summary map facilitating the use of this map by navigation systems with limited resources (smartphones, cars, robots...). This Vision-based summarizing process is applied in a fully automatic way using the photometric, geometric and semantic information of the studied environment.

0209 industrial biotechnologyComputer scienceProcess (engineering)business.industry[INFO.INFO-RB] Computer Science [cs]/Robotics [cs.RO][ INFO.INFO-RB ] Computer Science [cs]/Robotics [cs.RO]Point cloud020206 networking & telecommunicationsCloud computing02 engineering and technologyTerm (time)020901 industrial engineering & automationHuman–computer interaction0202 electrical engineering electronic engineering information engineering[INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO]RobotScale (map)business
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Formal ontology and CAD integration with macro parametric approach

2017

ABSTRACTThis paper discusses an ontological integration framework in the context of mereotopological formal ontology and CAD systems. Based on a comprehensive literature review of current design knowledge management and formal ontology research works, the authors propose the integration framework that can incorporate design knowledge with CAD systems. The primary role of mereotopology in this research work is the formal representation of design knowledge for the 3D solid assembly models. Most of the existing research works about design ontology present an abstract form and often require significant additional efforts to be integrated into CAD systems. Thus, this work introduces a formal ont…

0209 industrial biotechnologyComputer scienceProcess ontologyOntology-based data integration0211 other engineering and technologiesComputational MechanicsCAD02 engineering and technologyProtégéDesign knowledgeComputer Graphics and Computer-Aided DesignComputational Mathematics020901 industrial engineering & automationFormal ontologySystems engineeringOntologyMereotopology021106 design practice & managementComputer-Aided Design and Applications
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2D/3D Object Recognition and Categorization Approaches for Robotic Grasping

2017

International audience; Object categorization and manipulation are critical tasks for a robot to operate in the household environment. In this paper, we propose new methods for visual recognition and categorization. We describe 2D object database and 3D point clouds with 2D/3D local descriptors which we quantify with the k-means clustering algorithm for obtaining the Bag of Words (BOW). Moreover, we develop a new global descriptor called VFH-Color that combines the original version of Viewpoint Feature Histogram (VFH) descriptor with the color quantization histogram, thus adding the appearance information that improves the recognition rate. The acquired 2D and 3D features are used for train…

0209 industrial biotechnologyComputer sciencebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONCognitive neuroscience of visual object recognition[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]02 engineering and technology[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Color quantizationDeep belief network[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]ComputingMethodologies_PATTERNRECOGNITION020901 industrial engineering & automationCategorizationBag-of-words modelHistogram0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingComputer visionArtificial intelligenceCluster analysisbusinessClassifier (UML)
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Visual tracking with omnidirectional cameras: an efficient approach

2011

International audience; An effective technique for applying visual tracking algorithms to omni- directional image sequences is presented. The method is based on a spherical image representation which allows taking into account the distortions and nonlinear resolution of omnidirectional images. Experimental results show that both deterministic and probabilistic tracking methods can effectively be adapted in order to robustly track an object with an omnidirectional camera.

0209 industrial biotechnologyComputer sciencebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPhysics::Optics[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]02 engineering and technologyTracking (particle physics)[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Computer Science::RoboticsNonlinear system020901 industrial engineering & automationOmnidirectional cameraComputer Science::Computer Vision and Pattern Recognition0202 electrical engineering electronic engineering information engineeringEye tracking020201 artificial intelligence & image processingComputer visionArtificial intelligenceElectrical and Electronic EngineeringRepresentation (mathematics)Omnidirectional antennabusiness
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3D Point Cloud Descriptor for Posture Recognition

2018

International audience

0209 industrial biotechnologyComputer sciencebusiness.industryPosture recognitionPoint cloud[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]02 engineering and technology[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]020901 industrial engineering & automation[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV][ INFO.INFO-TI ] Computer Science [cs]/Image Processing0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingComputer visionArtificial intelligencebusinessComputingMilieux_MISCELLANEOUS
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Static and Dynamic Objects Analysis as a 3D Vector Field

2017

International audience; In the context of scene modelling, understanding, and landmark-based robot navigation, the knowledge of static scene parts and moving objects with their motion behaviours plays a vital role. We present a complete framework to detect and extract the moving objects to reconstruct a high quality static map. For a moving 3D camera setup, we propose a novel 3D Flow Field Analysis approach which accurately detects the moving objects using only 3D point cloud information. Further, we introduce a Sparse Flow Clustering approach to effectively and robustly group the motion flow vectors. Experiments show that the proposed Flow Field Analysis algorithm and Sparse Flow Clusterin…

0209 industrial biotechnologyComputer sciencebusiness.industry[INFO.INFO-RB] Computer Science [cs]/Robotics [cs.RO][ INFO.INFO-RB ] Computer Science [cs]/Robotics [cs.RO]ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPoint cloud[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Context (language use)Motion detection02 engineering and technology[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]020901 industrial engineering & automationFlow (mathematics)Motion estimation0202 electrical engineering electronic engineering information engineering[INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO]020201 artificial intelligence & image processingSegmentationComputer visionArtificial intelligenceCluster analysisbusinessEuclidean vector2017 International Conference on 3D Vision (3DV)
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Simulation Goals and Metrics Identification

2016

Agent-Based Modeling and Simulation (ABMS) is a very useful means for producing high quality models during simulation studies. When ABMS is part of a methodological ap- proach it becomes important to have a method for identifying the objectives of the simulation study in a disciplined fashion. In this work we propose a set of guidelines for properly capturing and representing the goals of the simulations and the metrics, allowing and evaluating the achievement of a simulation objective. We take inspiration from the goal-question-metric approach and with the aid of a specific problem formalization we are able to derive the right questions for relating simulation goals and metrics.

0209 industrial biotechnologyComputer sciencemedia_common.quotation_subject02 engineering and technologyInformation Systemlcsh:QA75.5-76.95Modeling and simulationSet (abstract data type)020901 industrial engineering & automationSoftware0202 electrical engineering electronic engineering information engineeringInformation systemComputer Science (miscellaneous)Quality (business)Software measurementmedia_commonSettore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionilcsh:T58.5-58.64lcsh:Information technologybusiness.industryManagement science020208 electrical & electronic engineeringCognitive neuroscience of visual object recognitionComputer Science Applications1707 Computer Vision and Pattern Recognitionmulti agent systemsIdentification (information)lcsh:Electronic computers. Computer sciencesimulationsbusiness
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Homography based egomotion estimation with a common direction

2017

International audience; In this paper, we explore the different minimal solutions for egomotion estimation of a camera based on homography knowing the gravity vector between calibrated images. These solutions depend on the prior knowledge about the reference plane used by the homography. We then demonstrate that the number of matched points can vary from two to three and that a direct closed-form solution or a Gröbner basis based solution can be derived according to this plane. Many experimental results on synthetic and real sequences in indoor and outdoor environments show the efficiency and the robustness of our approach compared to standard methods.

0209 industrial biotechnologyComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONHomography02 engineering and technology[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]homography estimationGröbner basis020901 industrial engineering & automationArtificial IntelligenceRobustness (computer science)0202 electrical engineering electronic engineering information engineeringStructure from motion[INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO]Computer visionComputingMilieux_MISCELLANEOUSstructure-from-motionMathematicsegomotion estimationPhotogrammetrie und Bildanalysebusiness.industryApplied Mathematics[ INFO.INFO-RB ] Computer Science [cs]/Robotics [cs.RO][INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Standard methodsReference planeComputational Theory and Mathematics020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionArtificial intelligencebusinessSoftwareIndex Terms—Computer vision
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Robust adaptive tracking control of uncertain systems with time-varying input delays

2017

ABSTRACTIn this paper, the problem of robust adaptive tracking control of uncertain systems with time-varying input delays is studied. Under some mild assumptions, a robust adaptive controller is designed by using adaptive backstepping technique such that the system is globally stable and the system output can track a given reference signal. At the same time, a root mean square type of bound is obtained for the tracking error as a function of design parameters and thus can be adjusted. Finally, one numerical example is given to show the effectiveness of the proposed scheme.

0209 industrial biotechnologyControl and OptimizationAdaptive controlComputer scienceControl (management)Uncertain systems02 engineering and technologyFunction (mathematics)SignalComputer Science ApplicationsTheoretical Computer ScienceHuman-Computer InteractionTracking errorRoot mean square020901 industrial engineering & automationControl and Systems EngineeringControl theoryBackstepping0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingElectrical and Electronic EngineeringAdaptive trackingRobust controlInternational Journal of Systems Science
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Mobile manipulator performance measurement towards manufacturing assembly tasks

2016

Mobile manipulator performance measurement research is relatively minimal as compared to that of robot arms. Measurement methods, such as optical tracking systems, are useful for measuring the performance of mobile manipulators, although at a much higher relative cost as compared to artifacts. The concept of using test artifacts demonstrates to potential manufacturers and users of mobile manipulator systems that relatively low cost performance measurement methods exist. This paper discusses the concept of reconfigurable mobile manipulator artifacts that were designed and built. An artifact was then used through experimentation to measure the performance of a mobile manipulator to demonstrat…

0209 industrial biotechnologyEngineering02 engineering and technologyArtifact (software development)Ground trutharti- facts01 natural sciences010309 optics020901 industrial engineering & automation0103 physical sciencesPerformance measurement[INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO]Performance measurementSimulationMobile manipulatorGround truthMeasure (data warehouse)Measurement methodMobile manipulatorbusiness.industry[ INFO.INFO-RB ] Computer Science [cs]/Robotics [cs.RO]performance measurementTest methodRobotmobile manipulatorbusinessArtifactsground truthASTM F45
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