30 citations · 79 across the 4 of their papers we have counts for
4 papers
Linear Differential Games for Cooperative Behavior Planning of Autonomous Vehicles Using Mixed-Integer Programming
Tobias Kessler, Klemens Esterle, Alois Knoll
Cooperatively planning for multiple agents has been proposed as a promising method for strategic and motion planning for automated vehicles. By taking into account the intent of ev…
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…
Bridging the Gap between Open Source Software and Vehicle Hardware for Autonomous Driving
Tobias Kessler, Julian Bernhard, Martin Buechel +7
Although many research vehicle platforms for autonomous driving have been built in the past, hardware design, source code and lessons learned have not been made available for the n…