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Klemens Esterle

Klemens Esterle is a research scientist at fortiss and a PhD student at TUM. His research focuses on combining formal methods to model multi-agent constraints from traffic rules with interactive behavior planning. He studied Mechatronics Engineering at the Technische Universität Dresden, graduating in 2014. Afterwards, he worked as a simulation engineer in the field of systems engineering. In 2017, he joined fortiss as a staff researcher in the competence field autonomous systems and sensor systems and started his PhD. He gained experience in autonomous driving during industry cooperations for autonomous valet parking, prediction and simulation.

Publications

2020

  • Bernhard, Julian; Esterle, Klemens; Hart, Patrick; Kessler, Tobias: BARK: Open Behavior Benchmarking in Multi-Agent Environments. 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020 more…
  • Esterle, Klemens; Gressenbuch, Luis; Knoll, Alois: Formalizing Traffic Rules for Machine Interpretability. Proceedings of the 3rd IEEE Connected and Automated Vehicles Symposium (CAVS), 2020 more…
  • Esterle, Klemens; Kessler, Tobias; Knoll, Alois: Optimal Behavior Planning for Autonomous Driving: A Generic Mixed-Integer Formulation. 2020 IEEE Intelligent Vehicles Symposium (IV), 2020 more…
  • Kessler, Tobias; Esterle, Klemens; Knoll, Alois: Linear Differential Games for Cooperative Behavior Planning of Autonomous Vehicles Using Mixed-Integer Programming. Proceedings of 59th IEEE Conference on Decision and Control (CDC), 2020 more…

2019

  • Esterle, Klemens; Aravantinos, Vincent; Knoll, Alois: From Specifications to Behavior: Maneuver Verification in a Semantic State Space. 2019 IEEE Intelligent Vehicles Symposium (IV), 2019 more…
  • Kessler, Tobias; Bernhard, Julian; Buechel, Martin; Esterle, Klemens; Hart, Patrick; Malovetz, Daniel; Truong Le, Michael; Diehl, Frederik; Brunner, Thomas; Knoll, Alois: Bridging the Gap between Open Source Software and Vehicle Hardware for Autonomous Driving. 2019 IEEE Intelligent Vehicles Symposium (IV), IEEE, 2019 more…

2018

  • Bernhard, Julian; Gieselmann, Robert ; Esterle, Klemens; Knoll, Alois: Experience-Based Heuristic Search: Robust Motion Planning with Deep Q-Learning. 2018 21st International Conference on Intelligent Transportation Systems (ITSC), 2018 more…
  • Esterle, Klemens; Hart, Patrick; Bernhard, Julian; Knoll, Alois: Spatiotemporal Motion Planning with Combinatorial Reasoning for Autonomous Driving. IEEE International Conference on ​Intelligent Transportation Systems, 2018 more…