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检索条件"任意字段=Sensor Fusion and Decentralized Control in Robotic Systems II Conference"

共 115 条记录，以下是41-50 订阅

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3D model creation through volumetric fusion of multiple range images

3D model creation through volumetric fusion of multiple rang...

引用

conference on sensor fusion and decentralized control in Autonomous robotic systems

作者： Elsner, DL Whitaker, RT Abidi, MA Univ. of Tennessee/Knoxville (United States)

ISBN: (纸本)0819426415

This paper presents a method to fuse multiple noisy range images to obtain a 3-D model of an object. This method projects each range image onto a volumetric grid that is divided into volume elements (voxels). We place a value in each voxel that represents our degree of certainty that that voxel is inside the sensed object. We determine this value by constructing a line from the voxel to the sensor's location and calculating the point that it intersects the range image. The certainty value is determined from the distance from the voxel to the range image intersection point and an estimate of the sensor's noise characteristics. The super Bayesian combination formula is used to fuse the grids created from the individual range images into an overall volumetric grid. We obtain the object model by extracting an isosurface at the value of 1/2 from the volumetric data using a variation of the marching cubes algorithm.

关键词： volumetric modeling range images sensor data fusion

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Automatic lane keeping of a vehicle based on perception net.

Automatic lane keeping of a vehicle based on perception net.

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conference on sensor fusion and decentralized control in robotic systems iiI

作者： Boo, K Jung, MY Inje Univ Dept Mech Engn Kimhae Kyungnam South Korea

ISBN: (纸本)0819438618

The objective of this research is to monitor and control the vehicle motion in order to remove out the existing safety risk based upon the human-machine cooperative vehicle control. A predictive control method is proposed to control the steering wheel of the vehicle to keep the lane. Desired angle of the steering wheel to control the vehicle motion could be calculated based upon vehicle dynamics, current and estimated pose of the vehicle every sample steps. The vehicle pose and the road curvature were calculated by geometrically fusing sensor data fro*m camera image, tachometer and steering wheel encoder though the Perception Net, where not only the state variables, but also the corresponding uncertainties were propagated in forward and backward direction in such a way to satisfy the given constraint condition, maintain consistency, reduce the uncertainties, and guarantee robustness. A series of experiments was conducted to evaluate the control performance, in which a car like robot was utilized to quit unwanted safety problem. As the results, the robot was keeping very well a given lane with arbitrary shape at moderate speed.

关键词： perception net sensor fusion vehicle motion control image processing

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Algebraic reconstruction technique fusing with pointwise measurements in optical computerized tomography

Algebraic reconstruction technique fusing with pointwise mea...

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sensor fusion and decentralized control in robotic systems IV conference

作者： Yao, W Adjouadi, M Florida Int Univ Dept Elect & Comp Engn Miami FL 33174 USA

ISBN: (纸本)0819442992

In Optical Computerized Tomography (OCT) reconstruction, the well-known restrictions are positivity of the field and boundary conditions. In this paper, the extra information - the probed value of a set of isolated points, which is readily available in industrial practice, is introduced into OCT based on information fusing (IF) techniques. To solve the incompatibility of the different testing systems, which brings high frequencies disturbance to the reconstruction, an adaptive algorithm is developed to make a good use of the pointwise priori. The algorithm derived from the third Algebraic Reconstruction Technique (ART3), is not only friendly to the information from various measuring systems, but very robust to irregular noise and even missing projections as well. By analyzing the simulated experiments, we strongly suggest that OCT give some attention to the information from external resources.

关键词： Optical Computerized Tomography Algebraic Reconstruction Techniques information fusion

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A Bayesian network approach to sensor fusion of aerial imagery

A Bayesian network approach to sensor fusion of aerial image...

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sensor fusion and decentralized control in robotic systems IV conference

作者： Kämpke, T Elfes, A Res Inst Appl Knowledge Proc Ulm Germany

ISBN: (纸本)0819442992

Estimation of superresolution models is a problem of great interest across a broad range of applications in computer vision and robot perception. However, approaches to superresolution model estimation tend to have very high computational complexity. In this paper, we address the superresolution model estimation problem using a general modelling approach based on two-layer Bayesian or causal networks. sensor nodes encode stochastic sensor models, while model nodes encode probabilistic inferences made about their state. The model nodes are arranged as a MRF spatial lattice. We derive optimal estimation procedures for several classes of superresolution world models, including single and multiple observation models, and analyze their computational complexity. We subsequently introduce three suboptimal estimation methods: Reinjection of Marginals (ROM), Independent Opinion Pool (IOP), and Non-Propagation of Neighbours (NPN). These methods, although suboptimal, are extremely efficient and provide high-quality superresolution estimates. We conclude by presenting results from the application of these procedures to the fusion of multiple aerial images to form highly accurate superresolution images for airborne surveying and monitoring applications.

关键词： stochastic sensor fusion Bayesian networks superresolution image estimation Markov random fields stochastic spatial models airborne monitoring

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Processing modules for hybrid, real-time, distributed robot architectures

Processing modules for hybrid, real-time, distributed robot ...

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conference on sensor fusion and decentralized control in Autonomous robotic systems

作者： Chernett, P Colley, M Callaghan, V Univ. of Essex (United Kingdom)

ISBN: (纸本)0819426415

New experimental hardware for research into architectures for distributed intelligent embedded systems is proposed that will provide a wide range of communication media including non-deterministic broadcast such as Ethernet, deterministic broadcast such as CAN and processor busses such as VME. The emphasis is on large scale system integration rather than provision for individual capabilities. A prototype implementation of some of the proposed hardware and software modules is described together with their use in several research.

关键词： hybrid architecture distributed systems autonomous vehicles real-time agricultural vehicles subsea vehicles

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sensor-fused navigation and manipulation from a planetary rover

Sensor-fused navigation and manipulation from a planetary ro...

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conference on sensor fusion amd decentralized control in robotic systems

作者： Baumgartner, ET Leger, PC Schenker, PS Huntsberger, TL CALTECH Jet Prop Lab Sci & Technol Dev Sect Pasadena CA 91109 USA

ISBN: (纸本)0819429848

This paper describes the development of advanced rover navigation and manipulation techniques for use by NASA's Sample Return Rover. These techniques include an algorithm for estimating the change in the rover's position aid orientation ky registering successive range maps from the rover's hazard avoidance stereo camera pair and the fusion of this information with the rover's wheel odometry. This map registration technique is also extended to register range maps to an a priori model-based range map for relative rover position and orientation determination. Finally, a technique for the robust and precise positioning of a rover-mounted manipulator using visual feedback from the rover's stereo pair is presented. Experimental results for each of these techniques is documented in this paper.

关键词： rover navigation state estimation map registration vision-based manipulation

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robotic comfort zones

Robotic comfort zones

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conference on sensor fusion and decentralized control in robotic systems iiI

作者： Likhachev, M Arkin, RC Georgia Inst Technol Coll Comp Mobile Robot Lab Atlanta GA 30332 USA

ISBN: (纸本)0819438618

This paper investigates how the psychological notion of comfort can be useful in the design of robotic systems. A review of the existing study of human comfort, especially regarding its presence in infants, is conducted with the goal being to determine the relevant characteristics for mapping it onto the robotics domain. Focus is placed on the identification of the salient features in the environment that affect the comfort level. Factors involved include current state familiarity, working conditions, the amount and location of available resources, etc. As part of our newly developed comfort function theory, the notion of an object as a psychological attachment for a robot is also introduced, as espoused in Bowlby's theory of attachment. The output space of the comfort function and its dependency on the comfort level are analyzed. The results of the derivation of this comfort function are then presented in terms of the impact they have on robotic behavior. Justification for the use of the comfort function in the domain of robotics is presented with relevance for real-world operations. Also, a transformation of the theoretical discussion into a mathematical framework suitable for implementation within a behavior-based control system is presented. The paper concludes with results of simulation studies and real robot experiments using the derived comfort function.

关键词： comfort zones comfort function attachment theory discrepancy theory behavior-based robotics

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Evolution of neural controllers for salamander-like locomotion

Evolution of neural controllers for salamander-like locomoti...

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sensor fusion and decentralized control in robotic systems ii conference

作者： Ijspeert, AJ Univ So Calif Dept Comp Sci Los Angeles CA 90879 USA

ISBN: (纸本)0819434329

This paper presents an experiment in which evolutionary algorithms are used for the development of neural controllers for salamander locomotion. The aim of the experiment is to investigate which kind of neural circuitry can produce the typical swimming and trotting gaits of the salamander, and to develop a synthetic approach to neurobiology by using genetic algorithms as design tool. A 2D bio-mechanical simulation of the salamander's body is developed whose muscle contraction is determined by the locomotion controller simulated as continuous-time neural networks. While the connectivity of the neural circuitry underlying locomotion in the salamander has not been decoded for the moment, the general organization of the designed neural circuits corresponds to that hypothesized by neurobiologists for the real animal. in particular, the locomotion controllers are based on a body central pattern generator (CPG) corresponding to a lamprey-like swimming controller as developed by Ekeberg,(1) and are extended with a limb CPG for controlling the salamander's body. A genetic algorithm is used to instantiate synaptic weights of the connections within the limb CPG and from the limb CPG to the body CPG given a high level description of the desired gaits. A set of biologically plausible controllers are thus developed which can produce a neural activity and locomotion gaits very similar to those observed in the real salamander. By simply varying the external excitation applied to the network, the speed, direction and type of gait can be varied.

关键词： Oscillators Gait analysis Device simulation Genetic algorithms Neurons Algorithm development Neuroscience Evolutionary algorithms Neural networks systems modeling

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sensor supervision and multi-agent commanding by means of "Projective Virtual Reality"

Sensor supervision and multi-agent commanding by means of "P...

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conference on sensor fusion amd decentralized control in robotic systems

作者： Rossmann, J Univ Dortmund Inst Robot Res D-44227 Dortmund Germany

ISBN: (纸本)0819429848

When autonomous systems with multiple agents are considered, conventional control- and supervision technologies are often inadequate because the amount of information available is often presented in a way that the user is effectively overwhelmed by the displayed data. New virtual reality (VR) techniques can help to cope with this problem, because VR offers the chance to convey information in a intuitive manner and can combine supervision capabilities and new, intuitive approaches to the control of autonomous systems. In the approach taken, control and supervision issues were equally stressed and finally led to the new ideas and the general framework for Projective Virtual Reality. The key idea of this new approach for an intuitively operable man machine interface for decentrally controlled multi-agent systems is to let the user act in the virtual world, detect the changes and have an action planning component automatically generate task descriptions for the agents involved to project actions that have been carried out by users in the virtual world into the physical world, e.g. with the help of robots. Thus the Projective Virtual Reality approach is to split the job between the task deduction in the VR and the task "projection" onto the physical automation components by the automatic action planning component. Besides describing the realized projective virtual reality system, the paper will also describe in detail the metaphors and visualization aids used to present different types of (e.g. sensor-) information in an intuitively comprehensible manner.

关键词： Virtual reality Robots control systems sensors Visualization Space robots Cameras robotic systems Computer simulations robotics

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Integrated virtual space control system utilizing hand gesture for intelligent house

Integrated virtual space control system utilizing hand gestu...

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sensor fusion and decentralized control in robotic systems IV conference

作者： Mori, T Shimosaka, M Sato, T Univ Tokyo Bunkyo Ku Tokyo 1138656 Japan

ISBN: (纸本)0819442992

This paper proposes an integrated virtual space control system for intelligent house room which consists of many kinds of appliances and information systems to enrich human life. The main features of the system are 1) the user controls the system via a large size display which represents system state linked to "real" appliances, 2) the system utilizes hand gesture to realize intuitive interaction, 3) the virtual space of the display utilizes 3D drag-and-drop metaphor. As for the core component of the proposed system, the paper reports implementation of a hand motion tracking system with multiple views and a controllable camera. Experimental results show that the tracking system solves a problem of the system scale explosion to achieve the accuracy and stability in real-time tracking.

关键词： home-use computer human interaction virtual space display virtual object handling computer vision gesture recognition human hand tracking color extraction Kalman filter

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