LACI: Low-effort Automatic Calibration of Infrastructure Sensors. - Johannes Müller 003; Martin Herrmann; Jan Strohbeck; Vasileios Belagiannis; Michael Buchholz (ITSC, 2019)

Environment Modeling Based on Generic Infrastructure Sensor Interfaces Using a Centralized Labeled-Multi-Bernoulli Filter. - Martin Herrmann; Johannes Müller 003; Jan Strohbeck; Michael Buchholz (ITSC, 2019)

Multiple Trajectory Prediction with Deep Temporal and Spatial Convolutional Neural Networks. - Jan Strohbeck; Vasileios Belagiannis; Johannes Müller 003; Marcel Schreiber; Martin Herrmann; Daniel Wolf; Michael Buchholz (IROS, 2020)

LMB Filter Based Tracking Allowing for Multiple Hypotheses in Object Reference Point Association. - Martin Herrmann; Aldi Piroli; Jan Strohbeck; Johannes Müller 003; Michael Buchholz (MFI, 2020)

Enabling automated driving by ICT infrastructure: A reference architecture. - Michael Buchholz; Jan Strohbeck; Anna-Maria Adaktylos; Friedrich Vogl; Gottfried Allmer; Sergio Cabrero Barros; Yassine Lassoued; Markus Wimmer; Birger Hätty; Guillemette Massot; Christophe Ponchel; Maxime Bretin; et al. (CoRR, 2020)

DeepSIL: A Software-in-the-Loop Framework for Evaluating Motion Planning Schemes Using Multiple Trajectory Prediction Networks. - Jan Strohbeck; Johannes Müller 003; Adrian Holzbock; Michael Buchholz (IROS, 2021)

An Extension Proposal for the Collective Perception Service to Avoid Transformation Errors and Include Object Predictions*. - Jan Strohbeck; Martin Herrmann; Johannes Müller 003; Michael Buchholz (VNC, 2021)

Notes on the Product Multi-Sensor Generalized Labeled Multi-Bernoulli Filter and its Implementation. - Martin Herrmann; Tim Luchterhand; Charlotte Hermann; Thomas Wodtko; Jan Strohbeck; Michael Buchholz (FUSION, 2022)

Deep Kernel Learning for Uncertainty Estimation in Multiple Trajectory Prediction Networks. - Jan Strohbeck; Johannes Müller 003; Martin Herrmann; Michael Buchholz (IROS, 2022)

Identification of Threat Regions From a Dynamic Occupancy Grid Map for Situation-Aware Environment Perception. - Matti Henning; Jan Strohbeck; Michael Buchholz; Klaus Dietmayer (ITSC, 2022)

Extrinsic Camera Calibration with Semantic Segmentation. - Alexander Tsaregorodtsev; Johannes Müller 003; Jan Strohbeck; Martin Herrmann; Michael Buchholz; Vasileios Belagiannis (ITSC, 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)

Motion Planning for Connected Automated Vehicles at Occluded Intersections With Infrastructure Sensors. - Johannes Müller 003; Jan Strohbeck; Martin Herrmann; Michael Buchholz (IEEE Trans. Intell. Transp. Syst., 2022)

Graph-Based Trajectory Prediction with Cooperative Information. - Jan Strohbeck; Sebastian Maschke; Max Bastian Mertens; Michael Buchholz (ITSC, 2023)

Automated Static Camera Calibration with Intelligent Vehicles. - Alexander Tsaregorodtsev; Adrian Holzbock; Jan Strohbeck; Michael Buchholz; Vasileios Belagiannis (IV, 2023)

Effects of Uncertain Trajectory Prediction Visualization in Highly Automated Vehicles on Trust, Situation Awareness, and Cognitive Load. - Mark Colley; Oliver Speidel; Jan Strohbeck; Jan Ole Rixen; Jan Henry Belz; Enrico Rukzio (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2023)

Fast Long-Term Multi-Scenario Prediction for Maneuver Planning at Unsignalized Intersections. - Max Bastian Mertens; Jona Ruof; Jan Strohbeck; Michael Buchholz (ACC, 2024)

A Graph Neural Network Approach for Solving the Ranked Assignment Problem in Multi-Object Tracking. - Robin Dehler; Martin Herrmann; Jan Strohbeck; Michael Buchholz (IV, 2024)