CVC-03: Virtual-World Pedestrian Dataset

  • Home
  • CVC-03: Virtual-World Pedestrian Dataset

Date:22 Apr, 2016

CVC-03: Virtual-World Pedestrian Dataset

    CVC09_FIR_Crops

    This is the virtual pedestrian dataset, generated using Half-Life 2 graphics engine. The dataset consists of 1678 virtual pedestrians (with their corresponding horizontal mirrors) and 2048 pedestrian-free background images to extract negatives for training.

    Disclaimer: Please, read the terms of use before downloading the dataset.

    CVC-03: Virtual-World Pedestrian Dataset

    Related Project

    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.

    Search

    Copyright 2016 CVC-ADAS Developed By ADAS-CVC