no code implementations • CVPR 2022 • Oliver Zendel, Matthias Schörghuber, Bernhard Rainer, Markus Murschitz, Csaba Beleznai
The dataset consists of more than 5000 unique driving scenes from all over the world with a focus on visually challenging scenes, such as diverse weather conditions, lighting situations, and camera characteristics.
1 code implementation • 23 Feb 2021 • Marco Wallner, Daniel Steininger, Verena Widhalm, Matthias Schörghuber, Csaba Beleznai
Automated monitoring and analysis of passenger movement in safety-critical parts of transport infrastructures represent a relevant visual surveillance task.
no code implementations • CVPR 2019 • Oliver Zendel, Markus Murschitz, Marcel Zeilinger, Daniel Steininger, Sara Abbasi, Csaba Beleznai
In this paper, we intro-duce the first public dataset for semantic scene understand-ing for trains and trams: RailSem19.