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检索条件"任意字段=Intelligent Robots and Computer Vision XXV: Algorithms, Techniques, and Active Vision"

共 723 条记录，以下是281-290 订阅

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Internet-based control for the intelligent unmanned ground vehicle: Bearcat cub

Internet-based control for the intelligent unmanned ground v...

引用

Conference on intelligent robots and computer vision XXI

作者： Ghaffari, M Narayanan, S Sethuramasamyraja, B Hall, EL Univ Cincinnati Ctr Robot Res Cincinnati OH 45221 USA

ISBN: (纸本)081945155X

Secure remote access with inter-operatability for operating a robot can be successfully achieved using the web services provided in the NET framework. The complete design of the machine discussed in this paper is made on the NET framework. The server which operates the robot is configured to US. The algorithm for obstacle detection is coded on a different server using the NET framework. By using web services, the robot can be accessed by other servers. These web services are consumed by the server on which the robot executes. A proxy is created on this server. The whole control is given in the form of a series of web pages which can be accessed by any web browser. However in order to input parameters and control the robot, authentication is required. The user provides authentication credentials which are matched with the existing information on the data base. After authentication, the user proceeds further to control the robot. The security and reliability of remote access is provided by the components that come with the web services namely, SOAP, WSDL and Proxy.

关键词： robotics .NET remote control tele-robotics Internet-based control unmanned ground vehicle

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Illuminant-adaptive diffractive-optical RGB-color sensor: 3D grating-optical cross-correlator calculating colored shadows in human vision.

Illuminant-adaptive diffractive-optical RGB-color sensor: 3D...

引用

Conference on intelligent robots and computer vision XXI

作者： Lauinger, N DATRON Sensorsyst GmbH CORRSYS Wetzlar Germany

ISBN: (纸本)081945155X

Colored shadows are observed when two differently colored lights are combined in twilights. When both lights add to an equi-energy white 'balanced' spectrum, the hues of the shadows show regular opponent colors, being reciprocals of the colors of the lights. When a white and a colored light in a twilight add to an 'unbalanced' spectrum, the hues of the shadows result from the same laws of opponency and reciprocity, but the eyes see "what they have optically calculated" instead of seeing "what really (physically) there is". At adaptation to the colored light, unbalanced states in physics become physiologically re-balanced by diffractive-optical chromatic resonance, guaranteeing color constancy at variations of illuminants. Colored shadows can be interpreted as serial products of diffractive 3D :grating-optical von Laue interferences and of optical cross-correlations between local and global information in the human eye. The human eye's hardware, with diffractive-optical multi-layer gratings in aperture and image space, represents an illuminant-adaptive diffractive-optical RGB Color Sensor guaranteeing color space normalization towards RGB equilibrium states (RGB white norms) in reciprocal grating space.

关键词： RGB color model Eye Bismuth Silicon Sun Visible radiation Physics Colorimetry Diffraction Diffraction gratings

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A fast and robust vision system for autonomous mobile robots

A fast and robust vision system for autonomous mobile robots

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IEEE International Conference on Robotics, intelligent Systems and Signal Processing, RISSP 2003

作者： Zhang, Hai-Bo Yuan, Kui Liu, Jin-Dong Institute of Automation Chinese Academy of Sciences Beijing100080 China

ISBN: (纸本)078037925X

computer vision system is an important sensor for autonomous mobile robot. However, the design of a vision system that can satisfy the needs of both robustness and efficiency is still difficult. In this paper, a fast and robust vision system is described which increases its speed and robustness through choosing suitable color space, algorithms of mathematical morphology and active adjustment in parameters. All of the algorithms are employed in a pan-tilt vision system of an autonomous mobile robot. © 2003 IEEE.

关键词： Mathematical morphology

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Object recognition and pose estimation for robotic manipulation using color cooccurrence histograms

Object recognition and pose estimation for robotic manipulat...

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IEEE International Workshop on intelligent robots and Systems (IROS)

作者： S. Ekvall F. Hoffmann D. Kragic Computational Vision and Active Perception Royal Institute of Technology Stockholm Sweden Electrical Engineering and Information Technology University of Dortmund Dortmund Germany Royal Institute of Technology Centre for Autonomous Systems Stockholm Sweden

Robust techniques for object recognition, image segmentation and pose elimination are essential for robotic manipulation and grasping. We present a novel approach for object recognition and pose estimation based on color cooccurrence histograms (CCHs). Consequently, two problems addressed in this paper are: i) robust recognition and segmentation of the object in the scene, and ii) object's pose estimation using an appearance based approach. The proposed recognition scheme is based on the CCHs used in a classical learning framework that facilitates a "winner-takes-all" strategy across different scales. The detected "window of attention" is compared with training images of the object for which the pose is known. The orientation of the object is estimated as the weighted average among competitive poses, in which the weight increases proportional to the degree of matching between the training and the segmented image histograms. The major advantages of the proposed two-step appearance based method are its robustness and invariance towards scaling and translations. The method is also computationally efficient since both recognition and pose estimation rely on the same representation of the object.

关键词： Object recognition Histograms Robustness Image segmentation Layout Object detection Solid modeling Computational efficiency Robot vision systems computer vision

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Autonomous mental development in high dimensional state and action spaces

Autonomous mental development in high dimensional state and ...

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International Joint Conference on Neural Networks (IJCNN)

作者： A. Joshi Juyang Weng Department of Electrical and Computer Engineering Michigan State University East Lansing MI USA Department of Computer Science and Engineering Michigan State University East Lansing MI USA

Autonomous mental development (AMD) of robots opened a new paradigm for developing machine intelligence, using neural network type of techniques and it fundamentally changed the way an intelligent machine is developed from manual to autonomous. The work presented is a part of SAIL (self-organizing autonomous incremental learner) project which deals with autonomous development of entire humanoid robot with vision, audition, manipulation and locomotion. The major issue addressed is the challenge of high dimensional action space (5 to 10) in addition to the high dimensional context state space (hundreds to thousands and beyond), typically required by an AMD machine. This is the first work that studies a high dimensional (numeric) action space in conjunction with a high dimensional perception (context state) space, under the AMID mode. Two new learning algorithms, Direct Update on Direction Cosines (DUDC) and High-Dimensional Conjugate Gradient Search (HCGS), are developed, implemented and tested. The convergence properties of both the algorithms and their targeted applications are discussed. Autonomous learning of speech production under reinforcement learning is studied as an example.

关键词： Autonomous mental development intelligent robots Orbital robotics Machine intelligence Neural networks intelligent networks Learning systems Manuals Humanoid robots State-space methods

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Kernel snakes: non-parametric active contour models

Kernel snakes: non-parametric active contour models

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IEEE International Conference on Systems, Man and Cybernetics

作者： W. Abd-Almageed C.E. Smith S. Ramadan Robotics Artificial Intelligence and Vision Laboratory Department of Electrical and Computer Engineering University of New Mexico Albuquerque NM USA

In this paper, a new non-parametric generalized formulation to statistical pressure snakes is presented. We discuss the shortcomings of the traditional pressure snakes. We then introduce a new generic pressure model that alleviates these shortcomings, based on the Bayesian decision theory. Non-parametric techniques are used to obtain the statistical models that drive the snake. We discuss the advantages of using the proposed non-parametric model compared to other parametric techniques. Multi-colored-target tracking is used to demonstrate the performance of the proposed approach. Experimental results show enhanced, real-time performance.

关键词： Kernel active contours Deformable models Image edge detection intelligent robots Robot vision systems Artificial intelligence Laboratories Bayesian methods Decision theory

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A basic theory of intelligent photogrammetron

A basic theory of intelligent photogrammetron

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2002 International Symposium of ISPRS Commission III on Photogrammetric computer vision, PCV 2002

作者： Pan, Heping Digital Intelligence Research Centre School of Remote Sensing and Information Engineering Wuhan University Science and Technology Building 129 Luoyu Road Wuhan430079 China

This paper presents a basic theory of intelligent photogrammetry and corresponding physically independent agent systems named Photogrammetron. intelligent photogrammetry is a fusion of ideas, techniques and applications from digital photogrammetry, active vision and intelligent agents, aiming at developing highly automatic and intelligent photogrametric systems. The tenet of intelligent photogrammetry is that photogrammetry is a nonlinear process for which a full automation, if indeed required, is only possible if and only if the system is an autonomous and intelligent agent system. In its basic form, photogrammetron refers to a stereo photogrammetric system which is designed to possess an architecture of intelligent agent, a physical structure of qualitative and active vision, and a complete functionality of quantitative photogrammetry. In a broader sense, photogrammetron may have three physically different forms: I – coherent stereo photogrammetron, II – separated stereo photogramemtron and III – multi-camera network photogrammetron. Principal applications of photogrammetron include: photogrammetry-enabled robots, intelligent close-range photogrammetry, intelligent video surveillance, real-time digital videogrammetry. The agent architecture of photogrammetry consists mainly of five components: imaging perception, scene beliefs and models, missions and desires, intentions and planning, action and control. The photogrammetric visual information processing comprises seven major parts: motion camera calibration and relative orientation, optical flow computation and object tracking, stereo focus of attention and vergence control, stereo motion image sequence matching and correspondence maintenance, object structure from motion, multi-object tracking and recognition. While a complete realization of photogrammetron design will take time to appear, this paper only intends to outline a basic theory and address fundamental theoretical feasibility and challenging problems. A

关键词： Stereo image processing

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Proceedings of SPIE: intelligent robots and computer vision XX - algorithms, techniques, and active vision

Proceedings of SPIE: Intelligent robots and computer vision ...

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intelligent robots and computer vision XX: algorithms, techniques, and active vision

The proceedings contains 60 papers from the Proceedings of SPIE: intelligent robots and computer vision 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.

关键词： Robotics

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intelligent robots and computer vision XX: algorithms, techniques, and active vision

Intelligent Robots and Computer Vision XX: Algorithms, Techn...

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2001年

作者： David Paul Casasent Ernest L Hall

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Dynamic vision systems for intelligent robots

Dynamic vision systems for intelligent robots

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Conference on intelligent robots and computer vision XX: algorithms, techniques, and active vision

作者： Nguyen, MC Bui, DT TUM Dept Comp Sci Munich Germany

ISBN: (纸本)081944300X

The logical structure of robot vision systems is introduced. It can be used as a basis for designing such systems. Both sensor data fusion and knowledge representation in a vision system may be broken down into four hierarchical levels where at each level knowledge representation in the form of partial models and data fusion complement each other. Multi-processor architectures supporting this type of structure are introduced as a particularly efficient basis for robot vision systems. Practical implementation is given.

关键词： dynamic vision systems intelligent robots robot vision

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