作者:
Omid ShakerniaYi MaT. John KooShankar SastryDept. of Electrical Engineering & Computer Science
University of California at Berkeley Berkeley CA94720-1774 U.S.A. Tak-Kuen John Koo received the B.Eng. degree in 1992 in Electronic Engineering and the M.Phil. in 1994 in Information Engineering both from the Chinese University of Hong Kong. From 1994 to 1995
he was a graduate student in Signal and Image Processing Institute at the University of Southern California. He is currently a Ph.D. Candidate in Electrical Engineering and Computer Sciences at the University of California at Berkeley. His research interests include nonlinear control theory hybrid systems inertial navigation systems with applications to unmanned aerial vehicles. He received the Distinguished M.Phil. Thesis Award of the Faculty of Engineering The Chinese University of Hong Kong in 1994. He was a consultant of SRI International in 1998. Currently he is the team leader of the Berkeley AeRobot Team and a delegate of The Graduate Assembly University of California at Berkeley. He is a student member of IEEE and SIAM. S. Shankar Sastry received his Ph.D. degree in 1981 from the University of California
Berkeley. He was on the faculty of MIT from 1980-82 and Harvard University as a Gordon McKay professor in 1994. He is currently a Professor of Electrical Engineering and Computer Sciences and Bioengineering and Director of the Electronics Research Laboratory at Berkeley. He has held visiting appointments at the Australian National University Canberra the University of Rome Scuola Normale and University of Pisa the CNRS laboratory LAAS in Toulouse (poste rouge) and as a Vinton Hayes Visiting fellow at the Center for Intelligent Control Systems at MIT. His areas of research are nonlinear and adaptive control robotic telesurgery control of hybrid systems and biological motor control. He is a coauthor (with M. Bodson) of “Adaptive Control: Stability Convergence and Robustness Prentice Hall 1989.” and (with R. Murray and Z. Li) of “A Mathematical Introduction to Robotic Manipulati
In this paper, we use computer vision as a feedback sensor in a control loop for landing an unmanned air vehicle (UAV) on a landing pad. The vision problem we address here is then a special case of the classic ego-mot...
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In this paper, we use computer vision as a feedback sensor in a control loop for landing an unmanned air vehicle (UAV) on a landing pad. The vision problem we address here is then a special case of the classic ego-motion estimation problem since all feature points lie on a planar surface (the landing pad). We study together the discrete and differential versions of the ego-motion estimation, in order to obtain both position and velocity of the UAV relative to the landing pad. After briefly reviewing existing algorithm for the discrete case, we present, in a unified geometric framework, a new estimation scheme for solving the differential case. We further show how the obtained algorithms enable the vision sensor to be placed in the feedback loop as a state observer for landing control. These algorithms are linear, numerically robust, and computationally inexpensive hence suitable for real-time implementation. We present a thorough performance evaluation of the motion estimation algorithms under varying levels of image measurement noise, altitudes of the camera above the landing pad, and different camera motions relative to the landing pad. A landing controller is then designed for a full dynamic model of the UAV. Using geometric nonlinear control theory, the dynamics of the UAV are decoupled into an inner system and outer system. The proposed control scheme is then based on the differential flatness of the outer system. For the overall closed-loop system, conditions are provided under which exponential stability can be guaranteed. In the closed-loop system, the controller is tightly coupled with the vision based state estimation and the only auxiliary sensor are accelerometers for measuring acceleration of the UAV. Finally, we show through simulation results that the designed vision-in-the-loop controller generates stable landing maneuvers even for large levels of image measurement noise. Experiments on a real UAV will be presented in future work.
Measuring the similarity between 3D models is a fundamental task in 3D inodels retrieval. In this paper, we propose a new method based on Global Geometric Feature Map (GGFM) to represent arbitrary polygonal 3D models....
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ISBN:
(纸本)1424400287
Measuring the similarity between 3D models is a fundamental task in 3D inodels retrieval. In this paper, we propose a new method based on Global Geometric Feature Map (GGFM) to represent arbitrary polygonal 3D models. Since 3D polygonal model can be expressed as a set of facets, the GGFM contrast constitute a spherical histogram about the normal orientation and area and position of every facet on the surface of the model. By computing the spherical correlation between the GGFMs of the matched models, similarity of two models can be obtained. Experimental results show that the proposed method performs well in 3D model similarity matching and is invariant to the translation and rotation and scaling of 3D model. Comparing to the existing methods, this method is fast and needs low computation and storage cost since each facet of the model needs to be computed only once in GGFM.
The crossing number of a graph is the minimum number of edge crossings in any drawing of the graph into the plane. This very basic property has been studied extensively in the literature from a theoretic point of view...
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In the ATC domain, simulated training is an effective approach to cultivate controllers, and ATC simulators providing vivid simulated environment for the trainees are the key devices with high complexity. In this pape...
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Quick extraction of the extremum eigenpairs of a real symmetric matrix is very important in engineering. Using neural networks to complete this operation is in a parallel manner and can achieve high performance. So, t...
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The most efficient general occlusion culling techniques are based on hardware accelerated occlusion queries. Although in many cases these techniques can considerably improve performance, they may still reduce efficien...
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After an introduction to related research in the field of spatial coating layer formation, a new analysis method, based on a fully automated microtomy process and light microscopy combined with advanced image analysis...
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After an introduction to related research in the field of spatial coating layer formation, a new analysis method, based on a fully automated microtomy process and light microscopy combined with advanced image analysis algorithms, is presented. The concept offers both, a high spatial resolution and a significantly larger sample size than conventional SEM techniques. The concept is based on a light microscope which is attached to a rotary microtome. An embedded paper sample is digitized by means of serial sectioning. Repeatedly, slices are cut off the embedded paper sample and the cut block surface is scanned fully automated. Image analysis software was developed to automatically detect the coating layer. Segmentation of the coating layer is realized by a 3D color segmentation process in the RGB color space instead of a threshold based algorithm. The approach itself is a three-dimensional concept, meaning that for the detection of the coating layer in one slice image also data from the neighboring slices is incorporated. Thus, the algorithm delivers both, detailed and robust coating layer recognition. Single coated LWC papers from a pilot coater were analyzed to compare coating layer formation for blade and curtain coating. Local correlation was used to study the relation between the obtained thickness and topography values of the base paper and the coating layers for both coating methods. The results showed, as expected, in tendency a leveling coat behavior for blade coating and a contour coat behavior for curtain coating. However, especially the curtain coated sample, but also the blade coated sample, was away from the idealized characteristics of a contour or a leveling coat respectively. Studies regarding the effect of calendering on these samples showed that calendering predominantly influences the base sheet topography under the coating layer with a less pronounced effect on the coating layer thickness.
In this paper, we present a novel approach for parallel sorting on stream processing architectures. It is based on adaptive bitonic sorting. For sorting n values utilizing p stream processor units, this approach achie...
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The MERCW project focuses on the study of chemical munition dump sites in the Baltic Sea and Skagerrak area. Through focused site investigations an assessment will be made of the ecological risks related to the dumped...
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In this paper, we describe a novel approach to 3D shape modelling, targeting at the reconstruction and repair of digitised models - a task that is frequently encountered in particular in the fields of cultural heritag...
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