Semantic Segmentation

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Date:22 May, 2016

Semantic Segmentation

    Semantic segmentation (or pixel classification) associates one of the pre-defined class labels to each pixel. The input image is divided into the regions, which correspond to the objects of the scene. In the simplest case pixels are classified w.r.t. their local features, such as colour and/or texture features. Markov Random Fields could be used to incorporate inter-pixel relations.

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    Elektra is an autonomous vehicle project developed by research groups from the CVC research center and the UAB and UPC universities.

    Our main objectives are boosting the research in self-driving technology and forming highly qualified engineers.

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    We imagine cities with a centralized mobility system to move safely, comfortably, saving energy and minimizing congestion. The city controls a fleet of automated vehicles that cooperate among them and with the city infrastructure.

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    Our funding mainly comes from public competitive and technological transfer projects.

    We would like to acknowledge to the Spanish project TRA2014-57088-C2-1-R and NVIDIA for the donated hardware.

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