45 citations · 185 across the 10 of their papers we have counts for
4 papers · 1 filter
Modeling and Testing Multi-Agent Traffic Rules within Interactive Behavior Planning
Klemens Esterle, Luis Gressenbuch, Alois Knoll
Autonomous vehicles need to abide by the same rules that humans follow. Some of these traffic rules may depend on multiple agents or time. Especially in situations with traffic par…
Formalizing Traffic Rules for Machine Interpretability
Klemens Esterle, Luis Gressenbuch, Alois Knoll
Autonomous vehicles need to be designed to abide by the same rules that humans follow. This is challenging, because traffic rules are fuzzy and not well defined, making them incomp…
Optimal Behavior Planning for Autonomous Driving: A Generic Mixed-Integer Formulation
Klemens Esterle, Tobias Kessler, Alois Knoll
Mixed-Integer Quadratic Programming (MIQP) has been identified as a suitable approach for finding an optimal solution to the behavior planning problem with low runtimes. Logical co…
BARK: Open Behavior Benchmarking in Multi-Agent Environments
Julian Bernhard, Klemens Esterle, Patrick Hart +1
Predicting and planning interactive behaviors in complex traffic situations presents a challenging task. Especially in scenarios involving multiple traffic participants that intera…