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Conference of the North American Fuzzy Information Processing Society - NAFIPS

作者： E. Tunstel M. Jamshidi CAD Laboratory for Robotics and Intelligent Systems Department of Electrical and Computer Engineering University of New Mexico Albuquerque NM USA

The synthesis of a fuzzy logic controller that provides a small mobile robot with the capability to exhibit a wall-following behavior is described. A general account of the procedure is given with emphasis placed on t... 详细信息

关键词： Fuzzy logic Mobile robots Navigation Fuzzy control intelligent robots Embedded system Robot sensing systems Control systems Assembly Fuzzy systems

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Data fusion using fuzzy-valued logic

Data fusion using fuzzy-valued logic

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IEEE Symposium on intelligent Vehicle

作者： P. Palacharla P.C. Nelson V.P. Sisiopiku Intelligent Vehicle Highway Systems Laboratory Department of Electrical Engineering and Computer Science University of Illinois Chicago Chicago IL USA

Data fusion is an important function of all intelligent vehicle highway systems (IVHS) components. Raw data on traffic conditions are received from various sources, in several formats, and at different time intervals. The goal of data fusion is to combine such data into meaningful inferences about traffic conditions. But it is quite common for these input data to have inconsistencies, uncertainties, and a lack of completeness. Applying binary logic and Bayes decision theory is inappropriate because some contradictions and only partial information are typically present in the input data. This paper presents an alternative approach to data fusion using a fuzzy-valued logic generalized from Belnap's four valued logic.

关键词： Fuzzy logic Databases intelligent vehicles Road transportation Vehicle driving Radio navigation Lattices Laboratories Uncertainty Decision theory

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A Bayesian corner detector

A Bayesian corner detector

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IEEE International Conference on Image Processing

作者： Xining Zhang R.M. Haralick V. Ramesh A.S. Bedekar I. Phillips Intelligent Systems Laboratory Department of Electrical Engineering University of Washington Seattle WA USA Department of Computer Science And Software Engineering Seattle University Seattle WA USA

A corner is modelled as the intersection of two lines. A corner point is that point on an input digital arc whose a posteriori probability of being a corner is the maximum among all the points on the arc. The performance of the corner detector is characterized by its false alarm rate, misdetection rate, and the corner location error all as a function of the noise variance, the included corner angle, and the arc length. Theoretical expressions for the quantities compare well with experimental results.< >

关键词： Bayesian methods Detectors Image segmentation Image edge detection Zirconium intelligent systems Laboratories computer science Software engineering Detection algorithms

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Fuzzy logic and behavior control strategy for autonomous mobile robot mapping

Fuzzy logic and behavior control strategy for autonomous mob...

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IEEE International Conference on Fuzzy systems (FUZZ-IEEE)

作者： E. Tunstel M. Jamshidi NASA Jet Propulsion Laboratory Pasadena CA USA CAD Laboratory for Intelligent and Robotic Systems Department of Electrical and Computer Engineering University of New Mexico Albuquerque NM USA

In support of research efforts to develop reactive mobile robots capable of autonomous navigation, we are concentrating on providing human reasoning capabilities as a resource for intelligence and integrating the world mapping and navigation tasks. The underlying philosophy is that an autonomous mobile robot should be able to make a map of its environment as it navigates through that environment. Fuzzy logic control and behavior-based navigation are proposed as means to implement this philosophy. Fuzzy logic provides the approximate reasoning necessary for handling the uncertainty inherent in mobile robot navigation. By decomposing the problem into simpler tasks we can develop mobile robots that exhibit a sufficient level of intelligence for performing navigation and mapping. In this paper, we discuss a strategy for incorporating fuzzy reasoning into the framework of reactive behavior control systems for autonomous mapping.< >

关键词： Fuzzy logic Mobile robots Navigation Control systems intelligent robots intelligent systems intelligent sensors Motion control Laboratories Uncertainty

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FINITE-STATE VECTOR QUANTIZATION WITH NEURAL-NETWORK CLASSIFICATION OF STATES

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IEE PROCEEDINGS-F RADAR AND SIGNAL PROCESSING 1993年第3期140卷 153-161页

作者： MANIKOPOULOS, CN Intelligent Systems Laboratory Electrical and Computer Engineering New Jersey Institute of Technology Newark USA

The results of employing neural network classification of states (NNCS) in finite state vector quantisation (FSVQ) are presented. In addition to intrablock correlation, already exploited by vector quantisation (VQ), the new design takes advantage of the interblock spatial correlation in typical grey-level images. The main achievement of FSVQ techniques is to assure access to a large master codebook for quantising purposes, thus achieving high image quality, while utilising a small state codebook for the purpose of specifying the block label, thus utilising low bit rates. Typically, FSVQ techniques require a very large memory space for the storage of the numerous state codebooks. However, with NNCS the memory space requirements can be reduced by a large factor (about 10(2)-10(3)) to manageable size, with little or no impairment of image quality, in comparison to FSVQ. This is accomplished by a neural network classification of finite states into representation states, whose associated states all share the same codebook. This codebook is populated by the most frequently occurring codevectors in the representation state. Numerical and pictorial results of simulation experiments are presented for the image LENA. They show that by using NNCS the required bit rate is about 0.25 bits/pixel at 30 dB peak SNR resulting in high quality reconstructed imagery, while the memory requirement is reduced by a factor of 256.

关键词： IMAGE COMPRESSION NEURAL NETWORK CLASSIFICATION FINITE STATE VECTOR QUANTIZATION

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PERFORMANCE ANALYSIS OF A GATEWAY CONNECTING THE CEBUS TO THE ISDN

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IEEE TRANSACTIONS ON CONSUMER ELECTRONICS 1993年第4期39卷 870-877页

作者： MANIKOPOULOS, CN YANG, JS Intelligent Systems Laboratory Department of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ USA HiTEL Database Division Data Communications Business Group Korea Telecom Seoul South Korea

The performance of a geteway which connects the CEBus to the ISDN has been investigated. The gateway handles three priority class messages for either direction. Message and channel throughputs and packet and message delays have been studied in terms of the offered load for intra-network traffic in the CEBus and internetwork traffic from the CEBus to the ISDN through the gateway. It has been found that delay for internetwork traffic for any priority level is much higher than that for intra-network traffic. In light traffic load, the delay for the ISDN to the CEBus direction is lower than that for the opposite direction. This was seen to reverse in heavy loads. In addition, significant decline of throughput was found, under the condition of large propagation delay, for all three priorities of internetwork traffic. Under favorable conditions, i.e., for low or zero propagation delay, packet length in the range of 300 to 500 bits, and light traffic, less than 70% of offered load (including inter-network traffic via the gateway), the CEBus-Gateway-ISDN system performs satisfactorily.

关键词： Integrated services digital network Propagation delay traffic network Cebus Consumer Electronics Bus Traffic Heavy loads

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PERFORMANCE EVALUATION OF A 3 PRIORITY CEBUS ROUTER

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IEEE TRANSACTIONS ON CONSUMER ELECTRONICS 1993年第2期39卷 107-114页

作者： YANG, JS MANIKOPOULOS, CN HiTEL Data Base Division Data Communications Business Group Korea Telecom Seoul South Korea Intelligent Systems Laboratory Department of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ USA

A performance evaluation has been carried out by simulation experiments for a three priority CEBus router handling traffic between the PL and TP media. The message and channel throughput, and message and packet delay have been studied for a wide range of offered traffic loads. The router has behaved well, according to message priority. The inter-network traffic has showed larger delay than intra-network traffic.

关键词： Throughput Telecommunication traffic Access protocols Bandwidth Open systems Power system interconnection Delay effects intelligent systems Laboratories Consumer electronics

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A modular neural network architecture for pattern classification 3

A modular neural network architecture for pattern classifica...

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1993 3rd IEEE-SP Workshop on Neural Networks for Signal Processing, NNSP 1993

作者： Elsherif, H. Hambaba, M. Intelligent Systems Laboratory Electrical Engineering and Computer Science Department Stevens Institute of Technology HobokenNJ07030 United States

ISBN: (纸本)0780309286

A modular neural network architecture is proposed to classify binary and continuous patterns. This system consists of a supervised feedforward backpropagation network and an unsupervised self-organization map network. The supervised feedforward (basic) network is trained until a saturation error level occurs. Simultaneously, the unsupervised self-organization map (control) network fluids the mapping features for the given input/output patterns. The resultant features are used by Gaussian and linear functions to adjust the hidden and the output weights of the basic network and to classify the given patterns. © 1993 IEEE.

关键词： Network architecture

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Vehicle-based route planning in advanced traveler information systems

Vehicle-based route planning in advanced traveler informatio...

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1993 intelligent Vehicles Symposium, IV 1993

作者： Nelson, P.C. Lain, C. Dillenburg, J. Intelligent Vehicle Highway Systems Laboratory Department of Electrical Engineering and Computer Science University of Illinois at Chicago ChicagoIL60680 United States

ISBN: (纸本)0780313704

A primary function of most advanced traveler information systems involves the ability to plan optimal routes. Although the route planning ability of ATIS systems could be facilitated using centralized computing resources, most ATIS systems currently in development use in-vehicle computational resources. The primary advantage of this type of approach is fault tolerance;vehicles can continue to plan routes even in the absence of a centralized computing center. However, there are significant challenges associated with planning routes using in-vehicle electronics. These challenges are a result of trying to keep the cost of the invehicle electronics to a reasonable level. Thus, the route planning algorithm must be both space and time efficient. Test results comparing various heuristic search algorithms to each other and to traditional route planning algorithms are presented. Among the heuristic search algorithms tested are two memory limited algorithms, MA∗ and MREC, which are particularly suited for this problem domain. The test results show that heuristic search algorithms are more efficient route planners than shortest path algorithms. © 1993 IEEE.

关键词： Vehicles

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Fuzzy logic based collision avoidance for a mobile robot 3

Fuzzy logic based collision avoidance for a mobile robot

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3rd International Conference on Industrial Fuzzy Control and intelligent systems, IFIS 1993

作者： Martinez, A. Tunstel, E. Jamshidi, M. CAD Laboratory for Intelligent and Robotic Systems Department of Electrical and Computer Engineering University of New Mexico AlbuquerqueNM87131 United States NASA Jet Propulsion Laboratory PasadenaCA United States

ISBN: (纸本)0780314859

Navigation and collision avoidance are major areas of research in mobile robotics that involve varying degrees of uncertainty. In general, the problem consists of achieving sensor based motion control of a mobile robot among obstacles in structured and/or unstructured environments with collision-free motion as the proirity. A fuzzy logic based intelligent control strategy has been developed here to computationally implement the approximate reasoning necessary for handling the uncertainty inherent in the collision avoidance problem. © 1993 IEEE.

关键词： Collision avoidance

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