Ricardo Omar Chávez García

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—In this paper, we detail a complete software architecture of a key task that an intelligent vehicle has to deal with: frontal object perception. This task is solved by processing raw data of a radar and a mono-camera to detect and track moving objects. Data sets obtained from highways, country roads and urban areas were used to test the proposed method.(More)
We report on the precise positioning of a carbon nanotube on an atomic force microscope (AFM) tip. By using a nanomanipulator inside a scanning electron microscope, an individual nanotube was retrieved from a metal foil by the AFM tip. The electron beam allows us to control the nanotube length and to sharpen its end. The performance of these tips for AFM(More)
We propose a novel method to reorder the list of images returned by an image retrieval system (IRS). The method combines the original order obtained by an IRS, the similarity between images obtained with textual features and a relevance feedback approach, all of them with the purpose of separating relevant from irrelevant images, and thus, obtaining a more(More)
— Intelligent vehicle perception involves the correct detection and tracking of moving objects. Taking into account all the possible information at early levels of the perception task can improve the final model of the environment. In this paper, we present an evidential fusion framework to represent and combine evidence from multiple lists of sensor(More)
We propose a novel method to reorder the list of images returned by an image retrieval system (IRS). The method combines the original order obtained by the IRS, the similarity between images obtained with visual and textual features, and a relevance feedback approach, all of them with the purpose of separating relevant from irrelevant images, and thus,(More)
Recent evaluation results from Geographic Information Retrieval (GIR) indicate that current information retrieval methods are effective to retrieve relevant documents for geographic queries, but they have severe difficulties to generate a pertinent ranking of them. Motivated by these results in this paper we propose a novel method to reorder the list of(More)
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