This pedestrian datasetwas recorded in the surreoundings of Barcelona and annotated by the CVC ADAS group in order to evaluate the pedestrian detection algorithms developed. It was originally named CVC-CER-01. Its main features are the following:
1000 manually annotated pedestrians (with the corresponding 1000 mirror images)
6175 random non-pedestrians windows from the road area (i.e., no sky or easy samples)
Original scale PNG files
When using this dataset in your research, we will be happy if you cite us
D. Gerónimo, A.D. Sappa, A. López, D. Ponsa. Adaptive image sampling and windows classification for on-board pedestrian detection. In Proceedings of the International Conference on Computer Vision Systems (ICCVS), Bielefeld, Germany, 2007.
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.
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.
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.