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

共 691 条记录，以下是141-150 订阅

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ADAPTATION OF GABOR FILTERS FOR SIMULATION OF HUMAN PREATTENTIVE MECHANISM FOR A MOBILE ROBOT 12

ADAPTATION OF GABOR FILTERS FOR SIMULATION OF HUMAN PREATTEN...

引用

12th Conference on intelligent robots and computer vision: algorithms and techniques

作者： KULKARNI, N NAGHDY, GA UNIV WOLLONGONG DEPT ELECT & COMP ENGNWOLLONGONGNSW 2522AUSTRALIA

ISBN: (纸本)0819413208

vision guided mobile robot navigation is complex and requires analysis of tremendous amounts of information in real time. In order to simplify the task and reduce the amount of information, human preattentive mechanism can be adapted [Nag90]. During the preattentive search the scene is analyzed rapidly but in sufficient detail for the attention to be focused on the `area of interest.' The `area of interest' can further be scrutinized in more detail for recognition purposes. This `area of interest' can be a text message to facilitate navigation. Gabor filters and an automated turning mechanism are used to isolate the `area of interest.' These regions are subsequently processed with optimal spatial resolution for perception tasks. This method has clear advantages over the global operators in that, after an initial search, it scans each region of interest with optimum resolution. This reduces the volume of information for recognition stages and ensures that no region is over or under estimated.

关键词： Image filtering Robot vision robots Machine vision Spatial frequencies Fourier transforms Image segmentation computer vision technology Spatial resolution Visual system

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Proceedings of SPIE - Intellingent robots and computer vision XXI: algorithms, techniques, and Active vision

Proceedings of SPIE - Intellingent Robots and Computer Visio...

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intelligent robots and computer vision XXI: algorithms, techniques, and Active vision

The proceedings contains 33 papers from the conference on SPIE - intelligent robots and computer vision XXI: algorithms, techniques, and Active vision. The topics discussed include: learning for intelligent mobile robots;remote operation of robotics systems using WLAN- and CORBA-based architecture;autonomous cross-country driving using active vision;Web-based telerobotics system in a virtual reality environment;automatic calibration and neural networks for robot guidance;recursive least squares approach to calculate motion parameters for a moving camera;and effective color representation for image segmentation under nonwhite illumination.

关键词： Robotics

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intelligent controller for backing up a tractor-trailer truck using state transition table

Intelligent controller for backing up a tractor-trailer truc...

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Conference on intelligent robots and computer vision XVI - algorithms, techniques, Active vision, and Materials Handling

作者： Enab, YM Mansoura Univ. (Egypt)

ISBN: (纸本)0819426407

The paper introduces a technique for constructing a look-up table contains information about selected points in the state space of the nonlinear process to be controlled. The new states to which a specific state point transfers when the process is issued different control commands are registered. The controller designed to make use of the table depends on the heuristic assumption that the behavior of the process at a specific state space point is similar to its behavior at a nearby point provided that the process is issued a similar control command at each state. The table design aspects for reducing the storage requirements and minimizing the computational effort for producing control decisions are investigated. The applicability of the controller is tested for the Tractor-Trailer Truck steering problem backing up at a constant speed. The truck backs up in an environment contains obstacles to be avoided. computer simulation of the truck and its controller has demonstrated workability.

关键词： scattered data analysis non linearity representation associative access memory learning control motion control

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VERTICES AND CORNERS - NORMALIZED AVERAGE DETECTION 12

VERTICES AND CORNERS - NORMALIZED AVERAGE DETECTION

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12th Conference on intelligent robots and computer vision: algorithms and techniques

作者： MALIK, R REN, H STEVENS INST TECHNOL DEPT ELECT ENGN & COMP SCIHOBOKENNJ 07030

ISBN: (纸本)0819413208

Most of the information regarding the shape of polyhedral objects is preserved in the edges and the vertices of these objects. Gray level images of scenes containing such objects are often processed to extract edge and vertex information to produce equivalent line sketches. An accurate line sketch of a scene serves as an effective input to high level vision systems concerned with scene understanding or object recognition. The performance of these systems is therefore greatly dependent on the accuracy of the line sketch. The work reported in this paper addresses the issues associated with generating accurate line sketches from gray level images. The methods described here have been implemented and tested with real and synthetic images and are compared to other vertex or corner detection techniques. The performance of the vertex detector is assessed using simulation runs on images with varied signal-to-noise ratios. The computational performance of this algorithm is evaluated and assessed by operating directly on the gray-scale image.

关键词： computer vision technology Machine vision Robot vision robots Image segmentation Edge detection Corner detection Signal to noise ratio Image processing Feature extraction

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Analysis of gaits for a rotating tripedal robot

Analysis of gaits for a rotating tripedal robot

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intelligent robots and computer vision XXIII: algorithms, techniques, and Active vision

作者： Lyons, Damian M. Pamnany, Kiran Robotics and Computer Vision Laboratory Fordham University NY 10458

A goal of robotics has been to develop mechanisms that have the efficiency and speed of wheeled robots with the terrain flexibility of legged robots. In previous work, we have proposed a unique three-legged mechanism, the rotopod, designed to integrate these two useful approaches to locomotion. In this paper, we present an analysis of the variety of gaits that can be exhibited by the rotopod. We present examples of many of these gaits and discuss their potential use. A trajectory generation algorithm is presented that can be used to generate point to point trajectories using one of three different styles of gait.

关键词： Biped locomotion

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COMPARING SUBSET-CONVERGENT AND VARIABLE-DEPTH LOCAL SEARCH ON PERSPECTIVE-SENSITIVE LANDMARK RECOGNITION PROBLEMS

COMPARING SUBSET-CONVERGENT AND VARIABLE-DEPTH LOCAL SEARCH ...

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11TH CONF ON intelligent robots AND computer vision : algorithms, techniques, AND ACTIVE vision

作者： BEVERIDGE, JR Univ. of Massachusetts/Amherst (United States)

ISBN: (纸本)0819410268

An intelligent robot with a camera and a partial model of its environment should be able to determine where it is from what it sees. This goal, landmark based navigation, can be realized using geometric object recognition algorithms. An important problem that arises in the development of such algorithms concerns the role of full 3-D perspective projection. Much of the work on object recognition has focused upon simplified problems which are essentially 2- D. One such simplification uses weak-perspective: to test the alignment of matched features object models are rotated, translated, and scaled in the image plane. At increased computational cost, full-perspective can be incorporated into recognition using a family of probabilistic optimization procedures based upon local search. This paper considers two specific algorithms from this family: subset-convergent and variable-depth local search. Both approaches reliably recognize landmarks even when landmark appearance is sensitive to perspective. Results presented here suggest the relatively simpler variable-depth algorithm is preferable when errors in the robot pose estimate are smaller, but that at some point as uncertainty in the initial pose estimate increases the more sophisticated subset-convergent algorithm becomes preferable.

关键词： Image segmentation 3D modeling Robot vision Algorithm development Detection and tracking algorithms Data modeling Visual process modeling computer vision technology Machine vision Cameras

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The 19TH Annual intelligent Ground Vehicle Competition: Student Built Autonomous Ground Vehicles

The 19TH Annual Intelligent Ground Vehicle Competition: Stud...

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Conference on intelligent robots and computer vision XXIX - algorithms and techniques

作者： Theisen, Bernard L. USA TARDEC Warren MI 48397 USA

ISBN: (纸本)9780819489487

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 19 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 almost 80 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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Autonomous robot software development using simple software components

Autonomous robot software development using simple software ...

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Conference on intelligent robots and computer vision XXII - algorithms, techniques and Active vision

作者： Burke, TM Chung, CJ Lawrence Technol Univ Dept Math & Comp Sci Southfield MI 48075 USA

ISBN: (纸本)081945561X

Developing software to control a sophisticated lane-following, obstacle-avoiding, autonomous robot can be demanding and beyond the capabilities of novice programmers - but it doesn't have to be. A creative software design utilizing only basic image processing and a little algebra, has been employed to control the LTU-AISSIG autonomous robot - a contestant in the 2004 intelligent Ground Vehicle Competition (IGVC). This paper presents a software design equivalent to that used during the IGVC, but with much of the complexity removed. The result is an autonomous robot software design, that is robust, reliable, and can be implemented by programmers with a limited understanding of image processing. This design provides a solid basis for further work in autonomous robot software, as well as an interesting and achievable robotics project for students.

关键词： robotics autonomous robot computer science education simple software KISS image processing

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The 20TH Annual intelligent Ground Vehicle Competition: Building a Generation of Robotists

The 20TH Annual Intelligent Ground Vehicle Competition: Buil...

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Conference on intelligent robots and computer vision XXX - algorithms and techniques

作者： Theisen, Bernard L. Kosinski, Andrew US Army TARDEC Warren MI 48397 USA

ISBN: (纸本)9780819494351

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 20 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 80 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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Reactive navigation for autonomous guided vehicle using the neuro-fuzzy techniques

Reactive navigation for autonomous guided vehicle using the ...

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Conference on intelligent robots and computer vision XVIII - algorithms, techniques, and Active vision

作者： Cao, J Liao, XQ Hall, E Univ Cincinnati Ctr Robot Res Cincinnati OH 45221 USA

ISBN: (纸本)0819434302

A Neuro-fuzzy control method for navigation of an Autonomous Guided Vehicle (AGV) robot is described. Robot navigation is defined as the guiding of a mobile robot to a desired destination or along a desired path in an environment characterized by a terrain and a set of distinct objects, such as obstacles and landmarks. The autonomous navigate ability and road following precision are mainly influenced by its control strategy and real-time control performance. Neural network and fuzzy logic control techniques can improve real-time control performance for mobile robot due to its I;igh robustness and error-tolerance ability. For a mobile robot to navigate automatically and rapidly, an important factor is to identify and classify mobile robots' currently perceptual environment. In this paper, a new approach of the current perceptual environment feature identification and classification which are based on the analysis of the classifying neural network and the Neuro-fuzzy algorithm is presented. The significance of this work lies in the development of a new method for mobile robot navigation.

关键词： mobile robot navigation neuro-fuzzy neural network fuzzy logic

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