We present a fast and precise vision-based software intended for multiple robot localization. The core component of the proposed localization system is an efficient method for black and white circular pattern detectio...
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We present a fast and precise vision-based software intended for multiple robot localization. The core component of the proposed localization system is an efficient method for black and white circular pattern detection. The method is robust to variable lighting conditions, achieves sub-pixel precision, and its computational complexity is independent of the processed image size. With off-the-shelf computational equipment and low-cost camera, its core algorithm is able to process hundreds of images per second while tracking hundreds of objects with millimeter precision. We propose a mathematical model of the method that allows to calculate its precision, area of coverage, and processing speed from the camera's intrinsic parameters and hardware's processing capacity. The correctness of the presented model and performance of the algorithm in real-world conditions are verified in several experiments. Apart from the method description, we also publish its source code; so, it can be used as an enabling technology for various mobile robotics problems.
The comparison of algorithms presents some important problems, which are critical when it is done over different hardware. In this study, we have proposed a behavioral method to reduce machine dependency, keeping the ...
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ISBN:
(纸本)9781936338573
The comparison of algorithms presents some important problems, which are critical when it is done over different hardware. In this study, we have proposed a behavioral method to reduce machine dependency, keeping the advantages of the time consumption method regarding exactness. This solution is based on a normalized time index. We provide in this study some experiments and results of image processing algorithms to validate this method.
A system performing sentiment analysis needs some prior knowledge which can be acquired, for example, by manual annotation only or by expanding a human-annotated sentiment lexicon by automatic means. However, users ar...
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ISBN:
(纸本)9781450317177
A system performing sentiment analysis needs some prior knowledge which can be acquired, for example, by manual annotation only or by expanding a human-annotated sentiment lexicon by automatic means. However, users are seldom interested in all sentimental aspects at once, but rather look for opinion changes of some person (\Who) during some time period (\When) and depending upon \What, \Where or \Why something happened. The paper describes the work necessary to obtain and utilize such 5W annotations.
Fiber to the end-user (FTTx) has long been considered to be too expensive to be deployed to cover all end users especially those living in the far rural areas. The conclusion after working with some municipalities in ...
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Data centric languages, such as recursive rule based languages, have been proposed to program distributed applications over networks. They greatly simplify the code, while still admitting efficient distributed executi...
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The research within the field of Spiking Neural P systems (SN P systems, for short) is focusing mainly in the study of the computational completeness (they are equivalent in power to Turing machines) and computational...
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In this paper we propose a new compactness measure which defines the degree to which a 3D shape differs from a perfect sphere. The new measure is easy to compute and satisfies the following desirable properties: - it ...
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Managing the IT environment of large organizations such as the Greek School Network is challenging not only due to the complexity, diversity and age of the information processing infrastructure but also due to geograp...
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In this paper, we propose a review of the mechanisms and procedures to securely manage vertical handovers in heterogeneous networks. The purpose of the paper is to position the heterogeneous networks in the context of...
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We deal in this paper with the problem of automating the process of choosing an appropriate visualization and its parameters in the context of visual data mining (VDM). To solve this problem, we develop a user assista...
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