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检索条件"主题词=Algorithm Development"

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Self-calibration algorithms for cameras and laser range finders

Self-calibration algorithms for cameras and laser range find...

引用

Conference on Intelligent Robots and Computer Vision XXII - algorithms, Techniques and Active Vision

作者： Zhang, QL Pless, R Washington Univ Dept Comp Sci & Engn St Louis MO 63130 USA

ISBN: (纸本)081945561X

Autonomous systems that navigate through unknown and unstructured environments must solve the egomotion estimation problem. Fusing the information from many different sensors makes this motion estimation more stable, but requires that the relative position and orientation of these sensors be known. Self-calibration algorithms are the most useful for this calibration problem because the do not require any known feature in the environment and can be used during system operation. Here we give geometric constraints, the coherent motion constraints, that allow a framework for the development of self-calibration algorithms for a heterogeneous sensor system (such as cameras, laser range finders, and odometry). If, for all sensors, a conditional probability density function can be defined to relate sensor measurements to the sensor motion, then the coherent motion constraints allows a maximum likelihood formulation of the sensor calibration problem. We present complete algorithms here for the case of a camera and laser range finder, in the case of both discrete and differential motions.

关键词： Sensors Cameras Calibration Motion estimation Laser range finders Motion measurement Imaging systems algorithm development Robots Sensor calibration

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PIPELINED IMPLEMENTATION OF HIGH-SPEED STAR-RLS ADAPTIVE FILTERS 4

PIPELINED IMPLEMENTATION OF HIGH-SPEED STAR-RLS ADAPTIVE FIL...

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4TH CONF ON ADVANCED SIGNAL PROCESSING algorithmS, ARCHITECTURES, AND IMPLEMENTATIONS

作者： RAGHUNATH, KJ PARHI, KK Univ. of Minnesota/Twin Cities (United States)

ISBN: (纸本)0819412767

The popular QR decomposition based recursive least-squares (RLS) adaptive filtering algorithm (referred to as QRD-RLS) has a limited speed of operation depending on the processing time of each individual cell. A new scaled tangent rotation based STAR-RLS algorithm has been designed which is suitable for fine-grain pipelining and also has a lower complexity. The inter-cell communication is also reduced by about half. A direct application of look-ahead to STAR-RLS can still lead to some increase in hardware. In this paper look- ahead is applied using delayed update operations such that the complexity is reduced while maintaining a fast convergence. The pipelined STAR-RLS (or PSTAR-RLS) algorithm requires the same number of operations (multiplications or divisions) as the serial STAR-RLS algorithm. Practical issues related to the STAR-RLS algorithm such as numerical stability and dynamic range are also examined.

关键词： Digital filtering algorithm development Error analysis Stars Tantalum Very large scale integration Data modeling Image processing Numerical stability Thulium

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NEURAL NETWORKS AS COMPONENTS

NEURAL NETWORKS AS COMPONENTS

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1ST CONF ON SCIENCE OF ARTIFICIAL NEURAL NETWORKS

作者： SMITH, G AUSTIN, J Univ. of York (United Kingdom)

ISBN: (纸本)0819408751

This paper promotes and examines the use of neural networks as components. The properties of components desirable for constructing large flexible systems are listed. Some examples of such systems are examined. Neural networks are shown to have these desirable properties. Those characteristics of individual neural network algorithms relevant to system design are described and then examined for some well-known algorithms. The process of designing a neural network system for a particular task is given as an example. Finally, directions for future research are given.

关键词： Neural networks Evolutionary algorithms Binary data Machine learning Artificial neural networks algorithm development Associative arrays Computing systems Internet Visual process modeling

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SOLUTION OF FRACTAL EQUATION

SOLUTION OF FRACTAL EQUATION

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Conference on Still-Image Compression

作者： LIU, Y SAVANNAH STATE COLL DEPT MATH & COMP SCISAVANNAHGA 31404

ISBN: (纸本)0819417653

In this paper, we will first briefly review fractal equations. Then we will present a greedy algorithm for solving encoding equations of class 2 fractals. The idea is to represent images in terms of blocks in a similar way as JPEG. The DCT in JPEG is replaced by fractal transformation. Image compression ratios for various selections of block size and parameter space are calculated.

关键词： Fractal analysis Dynamical systems Iterated function systems Computer programming Stochastic processes Binary data Image compression algorithm development Classification systems Computer science

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Landmine-detection prescreeners based on feature-level fusion of SAR and HSI data

Landmine-detection prescreeners based on feature-level fusio...

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Conference on Detection and Remediation Technologies for Mines and Minelike Targets XII

作者： Ranney, Kenneth USA Res Lab Adelphi MD 20783 USA

ISBN: (纸本)9780819466754

Many automatic target detection (ATD) algorithm suites include a prescreener as an initial link in their processing chains. It assists the downstream algorithms by eliminating many potential false alarms while still retaining a large percentage of the objects of interest, thereby allowing for greater specialization by the downstream algorithms. Many such prescreeners have been implemented for individual sensors-for example the constant false alarm rate detectors of radar systems or the RX (Reed-Xiaoli) detection algorithms of hyperspectral imaging (HSI) systems. In this paper we examine straightforward methods for fusing the outputs from synthetic aperture radar (SAR) and HSI prescreeners to create a multi-sensor prescreening algorithm. We begin by examining the sensor phenomenology for a specific operational scenario, and we incorporate this phenomenological information into both the individual sensor prescreener designs and the final fusion algorithm design. We describe how the SAR and HSI prescreener detects are associated with one another prior to fusion. Finally, we describe multiple fusion methodologies-namely a method based on the Dempster-Shafer theory of evidence and a method based on a Bayesian approach under an assumption of independence. We compare results from each fusion algorithm with those obtained using a single sensor.

关键词： Sensors Synthetic aperture radar Detection and tracking algorithms Data fusion Image sensors Target detection algorithm development Image processing Radar Land mines

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Computational algorithm for reconstructing the profile of 2-D rough surfaces

Computational algorithm for reconstructing the profile of 2-...

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Conference on Computational Imaging II

作者： El-Shenawee, M Miller, E Univ Arkansas Dept Elect Engn Fayetteville AR 72701 USA

ISBN: (纸本)0819452025

The presented reconstruction algorithm is based on merging the fast multipole method (FMM) for the forward solver with the rapidly convergent descent method for the cost function minimization algorithm (by Fletcher and Powell 1964 and 1970). Parametric results are presented showing the potential of the proposed computational algorithm.

关键词： Reconstruction algorithms Receivers algorithm development Dielectrics Detection and tracking algorithms Dielectric polarization Electromagnetic radiation General packet radio service Optimization (mathematics) Radar signal processing

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An Efficient QoS-aware Routing algorithm for LEO Polar Constellations

An Efficient QoS-aware Routing Algorithm for LEO Polar Const...

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Conference on Sensors and Systems for Space Applications VI

作者： Tian, Xin Khanh Pham Blasch, Erik Tian, Zhi Shen, Dan Chen, Genshe Intelligent Fus Technol Inc Germantown MD 20876 USA US Air Force Res Lab Kirtland AFB NM 87117 USA US Air Force Res Lab Griffiss AFB NY 13441 USA Michigan Tech Univ Dept Elect & Comp Engn Houghton MI 49931 USA

ISBN: (纸本)9780819495303

In this work, a Quality of Service (QoS)-aware routing (QAR) algorithm is developed for Low-Earth Orbit (LEO) polar constellations. LEO polar orbits are the only type of satellite constellations where inter-plane inter-satellite links (ISLs) are implemented in real world. The QAR algorithm exploits features of the topology of the LEO satellite constellation, which makes it more efficient than general shortest path routing algorithms such as Dijkstra's or extended Bellman-Ford algorithms. Traffic density, priority, and error QoS requirements on communication delays can be easily incorporated into the QAR algorithm through satellite distances. The QAR algorithm also supports efficient load balancing in the satellite network by utilizing the multiple paths from the source satellite to the destination satellite, and effectively lowers the rate of network congestion. The QAR algorithm supports a novel robust routing scheme in LEO polar constellation, which is able to significantly reduce the impact of inter-satellite link (ISL) congestions on QoS in terms of communication delay and jitter.

关键词： Satellites Satellite communications algorithm development Telecommunications Iridium Analytical research 3D vision Broadband telecommunications Data communications Defense technologies

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DIFFUSE TOMOGRAPHY

DIFFUSE TOMOGRAPHY

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CONF ON PHYSIOLOGICAL IMAGING, SPECTROSCOPY, AND EARLY-DETECTION DIAGNOSTIC METHODS

作者： GRUNBAUM, FA ZUBELLI, JP Univ. of California/Berkeley (United States) Instituto de Matematica Pura e Aplicada (Brazil)

ISBN: (纸本)0819411140

We consider certain models that have been used recently to describe photon migration in a random media with the purpose of imaging this unknown media on the basis of boundary measurements. We discuss the performance of numerical algorithms to tackle the reconstruction problem associated to such models. Some of these algorithms are of nonlinear optimization type, while others proceed in a finite number of steps and do not require iteration. We study also the effect of noise in the performance of these algorithms as well as the deterioration of their performance as the amount of data is reduced.

关键词： Reconstruction algorithms Sensors Particles Inverse problems 3D modeling Tomography Optimization (mathematics) algorithm development Medical imaging Performance modeling

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Research on Forest Fire Point Image Recognition of Agricultural and Forestry Satellites Based on the FRJLI algorithm 24

Research on Forest Fire Point Image Recognition of Agricultu...

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International Conference on Machine Intelligence and Digital Applications (MIDA)

作者： Meng, Qingying Cui, Jinxiang Zou, Jiahe Li, Jingyang Liu, Xin Zhu, Baoguo Qiu, Lei Yang, Xiaohe Cai, Lijun Gao, Xuedong Ma, Rui Huang, Chengliang Wang, Qiuju Acad Agr Sci Heilongjiang Harbin Peoples R China Heilongjiang Acad Agr Sci Postdoctoral Programme Harbin Peoples R China Heilongjiang Acad Key Lab Heilongjiang Soil Environm & Plant Nutrie Black Soil Conservat & Utilizat Harbin Peoples R China Acad Agr Sci Heilongjiang Jiamusi Branch Jiamusi Peoples R China Heilongjiang Inst Construct Technol Harbin Peoples R China

ISBN: (纸本)9798400718144

The rapid advancement of satellite remote sensing technology has made forest fire monitoring using satellite images an imperative research domain. This paper introduces a novel algorithm, FRJLI (Forest Recognition based on Joint Learning and Inference), designed to enhance the detection precision and speed of forest fire points through the recognition of forest and agricultural satellite images. Firstly, by analyzing the features of multi-band satellite images, the FRJLI algorithm integrates features using a joint learning mechanism, thereby strengthening the model's capacity to identify forest fire characteristics. Secondly, the algorithm incorporates an image segmentation-based inference module to boost the spatial resolution of fire point detection. Experimental findings demonstrate a significant improvement in both recognition accuracy and operational efficiency of the FRJLI algorithm compared to existing forest fire detection methods, particularly in challenging terrains and under cloudy conditions. This research not only furnishes effective technical backing for early forest fire warning systems but also pioneers new avenues in the application of deep learning to satellite imagery.

关键词： Satellite remote sensing forest fire image recognition joint learning algorithm development

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MANIPULATOR TRAJECTORY CONTROL USING NEURAL NETWORKS - FROM APPLICATION TO THEORY AND BACK AGAIN

MANIPULATOR TRAJECTORY CONTROL USING NEURAL NETWORKS - FROM ...

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1st International Conference on Applications and Science of Artificial Neural Networks

作者： JIN, Y PIPE, AB WINFIELD, A UNIV W ENGLAND FAC ENGNINTELLIGENT AUTONOMOUS SYST LABBRISTOL BS16 1QYENGLAND

ISBN: (纸本)0819418455

In this paper we first briefly review neural networks and some previous results of their applications on manipulator trajectory control. Then we go into the main part of the paper, i.e., theoretical analysis of neuro-manipulator control systems. It consists of control structure designs, off-line/on-line learning algorithms, and system stability proof. Two control structures are presented, both having a stability guarantee. Simulation on a Puma 560 robot and an experiment on a Mentor robot are also presented to demonstrate how to use the theoretical results and to evaluate performance of the developed control structures.

关键词： Neural networks Evolutionary algorithms Control systems algorithms algorithm development Structural design Device simulation Intelligence systems Matrices Neurons

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