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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121-130 订阅

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techniques FOR HIGH-PERFORMANCE ANALOG NEURAL NETWORKS 10

TECHNIQUES FOR HIGH-PERFORMANCE ANALOG NEURAL NETWORKS

引用

CONF ON intelligent robots AND computer vision 10 : NEURAL, BIOLOGICAL, AND 3-D METHODS

作者： CASASENT, D NEIBERG, L NATARAJAN, S Carnegie Mellon Univ. (United States)

ISBN: (纸本)0819407453

We consider analog neural network implementations (using VLSI or optical technologies) with limited accuracy and various noise and nonlinearity error sources. algorithms and techniques to achieve high performance (good recognition P'_c% and large storage capacity) on such systems are considered. The adaptive clustering neural net (ACNN) and robust Ho-Kashyap (HK-2) associative processor (AP) are the neural networks considered in detail.

关键词： Neurons Analog electronics Neural networks Very large scale integration computer programming Quantization computer vision technology Machine vision Robot vision robots

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Visual terrain mapping for traversable path planning of mobile robots

Visual terrain mapping for traversable path planning of mobi...

引用

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

作者： Shirkhodaie, A Amrani, R Tunstel, E Tennessee State Univ Dept Mech & Mfg Engn Intelligent Tact Mobil Robot Lab Nashville TN 37209 USA

ISBN: (纸本)081945561X

In this paper, we have primarily discussed technical challenges and navigational skill requirements of mobile robots for traversability path planning in natural terrain environments similar to Mars surface terrains. We have described different methods for detection of salient terrain features based on imaging texture analysis techniques. We have also presented three competing techniques for terrain traversability assessment of mobile robots navigating in unstructured natural terrain environments. These three techniques include: a rule-based terrain classifier, a neural network-based terrain classifier, and a fuzzy-logic terrain classifier. Each proposed terrain classifier divides a region of natural terrain into finite sub-terrain regions and classifies terrain condition exclusively within each sub-terrain region based on terrain visual clues. The Kalman Filtering technique is applied for aggregative fusion of sub-terrain assessment results. The last two terrain classifiers are shown to have remarkable capability for terrain traversability assessment of natural terrains. We have conducted a comparative performance evaluation of all three terrain classifiers and presented the results in this paper.

关键词： terrain traversability assessment modeling visual terrain mapping image texture analysis

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AN IMPROVING VISIBILITY METHOD FOR UNDERWATER robots 12

AN IMPROVING VISIBILITY METHOD FOR UNDERWATER ROBOTS

引用

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

作者： LIU, SQ XIA, YX FENGPING, JB WAWG, TL GONG, ZB ACAD SINICA ANHUI INST OPT & FINE MECHHEFEI 230031PEOPLES R CHINA

ISBN: (纸本)0819413208

Fov improving underwater visibility for robots. a method using special intervallic series of light pulses, and two acts of emitting and receiving are performed by two special designed optical shutters and the control signals are synchronized delayed is presented. Calculations show that the received backscattering light can be reduced and so the visible distance increased . This method has several advantages which can make it practical for underwater robots and other actual use. Its feasibility has been demonstrated in the experiments. while only in principle as the limitation of the experimental conditions at present. © 1993 SPIE.

关键词： Underwater visibility

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The 17TH Annual intelligent Ground Vehicle Competition: intelligent robots Built by intelligent Students

The 17TH Annual Intelligent Ground Vehicle Competition: Inte...

引用

27th Conference on intelligent robots and computer vision: algorithms and techniques

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

ISBN: (纸本)9780819479327

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 ground vehicle. Teams from around the world focus on developing a suite of dual-use technologies to equip their system of the future with intelligent driving capabilities. Over the past 17 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 70 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 engineering education IGVC

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Emerging directions in human-robotic space exploration technologies - remote operation of complex systems - art. no. 638402

Emerging directions in human-robotic space exploration techn...

引用

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

作者： Schenker, Paul S. CALTECH Jet Prop Lab Pasadena CA 91109 USA

ISBN: (纸本)0819464821

Through the vision for Space Exploration-hence vision-announced by George W. Bush in February 2004, NASA has been chartered to conduct progressively staged human-robotic (H/R) exploration of the Solar System. This exploration includes autonomous robotic precursors that will pave the way for a later durable H/R presence first at the Moon, then Mars and beyond. We discuss operations architectures and integrafive technologies that are expected to enable these new classes of space rnissions, with an emphasis on open design issues and R&D challenges.

关键词： space robotics telerobotics mobile robots human-robot interfaces mission operations lunar exploration

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GENERAL VISUAL ROBOT CONTROLLER NETWORKS VIA ARTIFICIAL EVOLUTION 12

GENERAL VISUAL ROBOT CONTROLLER NETWORKS VIA ARTIFICIAL EVOL...

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

作者： CLIFF, D HARVEY, I HUSBANDS, P UNIV SUSSEX SCH COGNIT & COMP SCIBRIGHTON BN1 9QHE SUSSEXENGLAND

ISBN: (纸本)0819413208

We discuss recent results from our ongoing research concerning the application of artificial evolution techniques (i.e., an extended form of genetic algorithm) to the problem of developing `neural' network controllers for visually guided robots. The robot is a small autonomous vehicle with extremely low-resolution vision, employing visual sensors which could readily be constructed from discrete analog components. In addition to visual sensing, the robot is equipped with a small number of mechanical tactile sensors. Activity from the sensors is fed to a recurrent dynamical artificial `neural' network, which acts as the robot controller, providing signals to motors governing the robot's motion. Prior to presentation of new results, this paper summarizes our rationale and past work, which has demonstrated that visually guided control networks can arise without any explicit specification that visual processing should be employed: the evolutionary process opportunistically makes use of visual information if it is available.

关键词： Visualization Sensors Chlorine Robot vision Genetic algorithms Device simulation Neural networks computer vision technology Machine vision Network architectures

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Fast face localization for mobile robots: signature analysis and color processing

Fast face localization for mobile robots: signature analysis...

引用

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

作者： Grana, M Gonzalez, AI Raducanu, B Echave, I UPV EHU Dept CCIA San Sebastian 20080 Spain

ISBN: (纸本)081942983X

The purpose of our works is to provide fast and reliable face localization techniques in real time an in real-life scenes. Person localization is included in this problem. The end application sought is the ability of mobile robots to navigate in human populated environments, and to start visual interaction with them. Known methods are computationally intensive, far from real time implementation at near future processing power of off-the-shelf processors. Our technique is based in motion segmentation, signature analysis and color processing. Signature analysis provides fast hints of the person and face localization. Color processing is used to confirm the face hypothesis, and it is based on our works on adaptive color quantization of image sequences. The technique can be implemented in real time and combined with other approaches to enhance the recognition results.

关键词： color processing face localization person localization

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

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

引用

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

引用

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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