Vehicle Detection

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Date:22 May, 2016

Vehicle Detection

    Determining the position of other vehicles on the road is a key information to help driver assistance systems to increase driver’s safety. Accordingly, the work  presented in this paper addresses the problem of detecting the vehicles in front of our own one and estimating their 3D position by using a single monochrome camera. Rather than using predefined high level image features as symmetry, shadow search, etc., our proposal for the vehicle detection is based on a learning process that determines, from a training set, which are the best features to distinguish vehicles from non–vehicles.

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    About us

    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.

    Our vision

    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.

    Funding

    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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