Design of a nonlinear braking-based yaw rate controller. - Gunter Nitzsche; Benjamin Völz; Klaus Röbenack; Sebastian Wagner; Stephan Zipser (ECC, 2014)

Feature Relevance Estimation for Learning Pedestrian Behavior at Crosswalks. - Benjamin Völz; Holger Mielenz; Gabriel Agamennoni; Roland Siegwart (ITSC, 2015)

Precise vehicle localization in dense urban environments. - Jan Rohde; Benjamin Völz; Holger Mielenz; Johann Marius Zöllner (ITSC, 2016)

A data-driven approach for pedestrian intention estimation. - Benjamin Völz; Karsten Behrendt; Holger Mielenz; Igor Gilitschenski; Roland Siegwart; Juan I. Nieto 001 (ITSC, 2016)

Predicting pedestrian crossing using Quantile Regression forests. - Benjamin Völz; Holger Mielenz; Roland Siegwart; Juan I. Nieto 001 (Intelligent Vehicles Symposium, 2016)

Inferring Pedestrian Motions at Urban Crosswalks. - Benjamin Völz; Holger Mielenz; Igor Gilitschenski; Roland Siegwart; Juan I. Nieto 001 (IEEE Trans. Intell. Transp. Syst., 2019)

An Extended Maneuver Coordination Protocol with Support for Urban Scenarios and Mixed Traffic. - Max Bastian Mertens; Johannes Müller 003; Robin Dehler; Marvin Klimke; Matthias Maier; Soheil Gherekhloo; Benjamin Völz; Rüdiger-Walter Henn; Michael Buchholz (VNC, 2021)

An Enhanced Graph Representation for Machine Learning Based Automatic Intersection Management. - Marvin Klimke; Jasper Gerigk; Benjamin Völz; Michael Buchholz (ITSC, 2022)

Cooperative Behavior Planning for Automated Driving Using Graph Neural Networks. - Marvin Klimke; Benjamin Völz; Michael Buchholz (IV, 2022)

Cooperative Behavioral Planning for Automated Driving using Graph Neural Networks. - Marvin Klimke; Benjamin Völz; Michael Buchholz (CoRR, 2022)

Handling Occlusions in Automated Driving Using a Multiaccess Edge Computing Server-Based Environment Model From Infrastructure Sensors. - Michael Buchholz; Johannes Müller 003; Martin Herrmann; Jan Strohbeck; Benjamin Völz; Matthias Maier; Jonas Paczia; Oliver Stein; Hubert Rehborn; Rüdiger-Walter Henn (IEEE Intell. Transp. Syst. Mag., 2022)

Automatic Intersection Management in Mixed Traffic Using Reinforcement Learning and Graph Neural Networks. - Marvin Klimke; Benjamin Völz; Michael Buchholz (IV, 2023)

Integration of Reinforcement Learning Based Behavior Planning With Sampling Based Motion Planning for Automated Driving. - Marvin Klimke; Benjamin Völz; Michael Buchholz (IV, 2023)

Towards Cooperative Maneuver Planning in Mixed Traffic at Urban Intersections. - Marvin Klimke; Max Bastian Mertens; Benjamin Völz; Michael Buchholz (CoRR, 2024)