A tutorial introduction to the subject of multisensor integration and fusion is presented. The role of multisensor integration and fusion in the operation of intelligent systems is defined in terms of the unique type ...
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A tutorial introduction to the subject of multisensor integration and fusion is presented. The role of multisensor integration and fusion in the operation of intelligent systems is defined in terms of the unique type of information multiple sensors can provide. Multisensor integration is discussed in terms of basic integration functions and multisensor fusion in terms of the different levels at which fusion can take place. Numerical examples are given to illustrate a variety of different fusion methods. Speculations concerning possible research future directions and a guide to survey and review papers in the area of multisensor integration and fusion are presented.< >
Presents a 3D object recognition system with emphasis on an optimum placement strategy for a mobile 3D range sensor. The theoretical aspects leading to the development of the 3D sensor placement paradigm are presented...
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Presents a 3D object recognition system with emphasis on an optimum placement strategy for a mobile 3D range sensor. The theoretical aspects leading to the development of the 3D sensor placement paradigm are presented and described. The authors use a triangulation type laser of range finder in which a CCD based imaging device is utilized to view a plane of laser light bounced from a sweeping mirror. The sensor characteristics are described and modeled. A set of criteria for use in constraining the possible sensor site location for future scans is presented. These constraint conditions are essential to drive the actual sensor placement algorithm for 3D object recognition.< >
Diverse ASIC programs have been established in more than 100 universities across the United States. In most schools, however, the focus is placed on full-custom VLSI rather than semicustom VLSI design. An emerging inf...
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Diverse ASIC programs have been established in more than 100 universities across the United States. In most schools, however, the focus is placed on full-custom VLSI rather than semicustom VLSI design. An emerging infrastructure in VLSI seems to favor the first of the two mentioned design styles. A familiarization with these types of rapid prototyping by the prospective electrical engineers is an important issue in education. A treatment of this issue is presented.< >
Two algorithms for depth estimation are presented. The first algorithm simply looks for the focus level that maximizes the focus measure at each image point. The second algorithm uses a Gaussian model to interpolate t...
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Two algorithms for depth estimation are presented. The first algorithm simply looks for the focus level that maximizes the focus measure at each image point. The second algorithm uses a Gaussian model to interpolate the focus measures to obtain more accurate depth estimates. The algorithms were implemented and tested on surfaces of different roughness and reflectance properties. The results indicate that the shape-from-focus method may be applied to a variety of industrial vision problems.< >
The cellular neural network (CNN) paradigm is a powerful framework for analog nonlinear processing arrays placed on a regular grid. The authors extend the repertoire of CNN cloning template elements (atoms) by introdu...
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The cellular neural network (CNN) paradigm is a powerful framework for analog nonlinear processing arrays placed on a regular grid. The authors extend the repertoire of CNN cloning template elements (atoms) by introducing additional nonlinear and delay-type characteristics. With this generalization, several well-known and powerful analog array-computing structures can be interpreted as special cases of the CNN. Moreover, it is shown that the CNN with these generalized cloning templates has a general programmable circuit structure with analog macros and algorithms. The relations with the cellular automaton and the systolic array are analysed. Finally, some robust stability results and the state-space structure of the dynamics are presented.< >
The general framework of motion detection based on the discrete-time samples of the moving image is defined. Four types of motion detection problem are studied. The simplest one is a model resembling the experiment of...
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The general framework of motion detection based on the discrete-time samples of the moving image is defined. Four types of motion detection problem are studied. The simplest one is a model resembling the experiment of D.H. Hubel and T.N. Wiesel (1962) with a cat's retina for detecting the motion of an object having a given speed in a given direction. The most complicated case is the determination of the vertical and horizontal velocity components of a moving image. Various cloning template sequences are proposed for detecting different types of motion. The consecutive black and white image samples are fed to the input and to the initial state nodes of the cellular neural network, respectively. After the transients have decayed, the output gives the information necessary for detecting the presence or absence of a specific motion as well as for estimating the direction and the magnitude of the velocity vector. Conditions are analysed under which the detection is correct. The circuit realization of some motion detectors are discussed and the use of a programmable dual CNN structure is proposed.< >
This work extends our previous effort in visualizing the spatial aspect of relativistic effects, and treats the phenomenon of time dilation; an inherent temporal effect of special ***, we demonstrate through still-fra...
ISBN:
(纸本)9780897914123
This work extends our previous effort in visualizing the spatial aspect of relativistic effects, and treats the phenomenon of time dilation; an inherent temporal effect of special ***, we demonstrate through still-frame images and live animations that in observing the viewing independent time dilation, the finite light transit time involved in performing the observation makes the observed time dilation also depend on the viewing *** we introduce the physics of special relativity into ray-tracing and make time to pass as a ray travels through space, we are able to link the spatial and temporal dimensions in a fundamental and consistent way in our simulations, and generate images that reveal the spatial and temporal properties of the 4D geometry of *** exploration highlights the interplay of the imaging process and the imaged physical events in producing the final images. It reveals a richly detailed physical reality which the mathematical language of thought experiment in relatively does not directly provide.
The objective of this study is to develop a method for mobile robot motion planning in the presence of moving obstacles. The concept of traversability vectors is used to analyze the spatial relationship between the ro...
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The objective of this study is to develop a method for mobile robot motion planning in the presence of moving obstacles. The concept of traversability vectors is used to analyze the spatial relationship between the robot and moving obstacles. Given a predefined path, the occupancy of the path by moving obstacles can be detected and registered on the constraint map. Obstacles on this map represent time constraints on the robot motion along the path. A search algorithm is then developed to coordinate the robot motion. Simulation results for this approach are discussed.< >
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