The rounD Dataset: A Drone Dataset of Road User Trajectories at Roundabouts in Germany. - Robert Krajewski; Tobias Moers; Julian Bock; Lennart Vater; Lutz Eckstein (ITSC, 2020)

The inD Dataset: A Drone Dataset of Naturalistic Road User Trajectories at German Intersections. - Julian Bock; Robert Krajewski; Tobias Moers; Steffen Runde; Lennart Vater; Lutz Eckstein (IV, 2020)

Utilization and Potentials of Unmanned Aerial Vehicles (UAVs) in the Field of Automated Driving: A Survey. - Laurent Kloeker; Tobias Moers; Lennart Vater; Adrian Zlocki; Lutz Eckstein (ICVISP, 2021)

Drone-based Generation of Sensor Reference and Training Data for Highly Automated Vehicles. - Robert Krajewski; Lennart Vater; Marvin Klimke; Tobias Moers; Julian Bock; Lutz Eckstein (ITSC, 2021)

The exiD Dataset: A Real-World Trajectory Dataset of Highly Interactive Highway Scenarios in Germany. - Tobias Moers; Lennart Vater; Robert Krajewski; Julian Bock; Adrian Zlocki; Lutz Eckstein (IV, 2022)

Determining the Tactical Challenge of Scenarios to Efficiently Test Automated Driving Systems. - Lennart Vater; Sven Tarlowski; Michael Schuldes; Lutz Eckstein (IV, 2024)

Detecting Edge Cases from Trajectory Datasets Using Deep Learning Based Outlier Detection. - Marcel Sonntag; Lennart Vater; Roman Vuskov; Lutz Eckstein (VEHITS, 2024)

Scenario-Based Hierarchical Reinforcement Learning for Automated Driving Decision Making. - M. Youssef Abdelhamid; Lennart Vater; Zlatan Ajanovic (CoRR, 2025)