M.Sc. Danial Kamran
- Research Associate
- Room: 234
- Phone: +49 721 608-44070
- danial kamranQuo6∂kit edu
Karlsruher Institut für Technologie
Institut für Mess- und Regelungstechnik
Engler-Bunte-Ring 21
Gebäude 40.32
D-76131 Karlsruhe
Research
Open Theses
- Learning Data Efficient Policies for Human-like Automated Driving at Intersections
- Combining Demonstrations with Reinforcement Learning for Intelligent Policies in Automated Driving
Publications
Michael Buchholz, Fabian Gies, Andreas Danzer, Matti Henning, Charlotte Hermann, Manuel Herzog, Markus Horn, Markus Schön, Nils Rexin, Klaus Dietmayer, Arlos Fernandez, Johannes Janosovits, Danial Kamran, Christian Kinzig, Martin Lauer, Eduardo Molinos, Schristoph Stiller, Lingguang Wang, Stefan Ackermann, Tobias Homolla, Hermann Winner, Grischa Gottschalg, Stefan Leinen, Matthias Becker, Johannes Feiler, Simon Hoffmann, Frank Diermeyer, Batian Lampe, Till Beemelmanns, Raphael van Kempen, Timo Woopen, Lutz Eckstein, Nicolai Voget, Dierter Moormann, Inga Jatzkowski, Torben Stolte, Markus Maurer, Jürgen Graf, Edgar von Hunüber, Norbert Siepenkötter. Automation of the UNICARagil vehicles. In 29th Aachen Colloquium Sustainable Mobility, Band 2, Seiten 1531--1560, 2020.
Danial Kamran, Carlos Fernandez Lopez, Martin Lauer, Christoph Stiller. Risk-Aware High-level Decisions for Automated Driving at Occluded Intersections with Reinforcement Learning. In IEEE Intelligent Vehicles Symposium, Las Vegas, USA, 2020. accepted. [ http ]
Danial Kamran, Martin Lauer, Christoph Stiller. Learning Realistic High Level Decisions for Autonomous Driving at Complex Intersections. In 13. Uni-DAS e.V. Workshop Fahrerassistenz und automatisiertes Fahren, Walting, Germany, 2020. [ .pdf ]
Danial Kamran, Marvin Busch, Tizian Engelgeh. On the Challenges of Safe and Scalable Reinforcement Learning for Automated Driving at Intersections. In Proceedings of Robotics: Science and Systems (RSS) Workshops, Oregon State University at Corvallis, United States, 2020. [ http ]
Danial Kamran, Junyi Zhu, Martin Lauer. Learning Path Tracking for Real Car-like Mobile Robots From Simulation. In IEEE European Conference on Mobile Robots (ECMR), 2019. [ .pdf ]