This is a partially occluded pedestrian dataset extracted from our virtual world. The dataset consists of two sets of 2400 and 2414 croped pedestrians (with their corresponding horizontal mirrors).
When using this dataset in your research, we will be happy if you cite us
J. Marín, D. Vázquez, A.M. López, J. Amores and L.I. Kuncheva, Occlusion handling via random subspace classifiers for human detection. In IEEE Transactions on Systems, Man, and Cybernetics (Part B) (ITSMC-B), 2013
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.