no code implementations • 16 Dec 2020 • Błażej Osiński, Piotr Miłoś, Adam Jakubowski, Paweł Zięcina, Michał Martyniak, Christopher Galias, Antonia Breuer, Silviu Homoceanu, Henryk Michalewski
This work introduces interactive traffic scenarios in the CARLA simulator, which are based on real-world traffic.
1 code implementation • 16 Jul 2020 • Antonia Breuer, Jan-Aike Termöhlen, Silviu Homoceanu, Tim Fingscheidt
Analyzing and predicting the traffic scene around the ego vehicle has been one of the key challenges in autonomous driving.
no code implementations • 11 Jul 2020 • Sascha Rosbach, Xing Li, Simon Großjohann, Silviu Homoceanu, Stefan Roth
Furthermore, the temporal attention mechanism learns persistent interaction with other vehicles over an extended planning horizon.
no code implementations • 7 Dec 2019 • Sascha Rosbach, Vinit James, Simon Großjohann, Silviu Homoceanu, Xing Li, Stefan Roth
In this work, we propose a deep learning approach based on inverse reinforcement learning that generates situation-dependent reward functions.
1 code implementation • 29 Nov 2019 • Błażej Osiński, Adam Jakubowski, Piotr Miłoś, Paweł Zięcina, Christopher Galias, Silviu Homoceanu, Henryk Michalewski
Using reinforcement learning in simulation and synthetic data is motivated by lowering costs and engineering effort.
no code implementations • 1 May 2019 • Sascha Rosbach, Vinit James, Simon Großjohann, Silviu Homoceanu, Stefan Roth
Behavior and motion planning play an important role in automated driving.