Is it safe to change the lane? - Visual exploration of adjacent lanes for autonomous driving. - Björn Fröhlich; Julian Bock; Uwe Franke (ITSC, 2014)

Self-learning Trajectory Prediction with Recurrent Neural Networks at Intelligent Intersections. - Julian Bock; Till Beemelmanns; Markus Klösges; Jens Kotte (VEHITS, 2017)

The highD Dataset: A Drone Dataset of Naturalistic Vehicle Trajectories on German Highways for Validation of Highly Automated Driving Systems. - Robert Krajewski; Julian Bock; Laurent Kloeker; Lutz Eckstein (ITSC, 2018)

Continuously Improving Model of Road User Movement Patterns using Recurrent Neural Networks at Intersections with Connected Sensors. - Julian Bock; Philipp Nolte; Lutz Eckstein (VEHITS, 2019)

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)

Using Drones as Reference Sensors for Neural-Networks-Based Modeling of Automotive Perception Errors**The research leading to these results is funded by the Federal Ministry for Economic Affairs and Energy within the project "VVM - Verification and Validation Methods for Automated Vehicles Level 4 and 5". The authors would like to thank the consortium for the successful cooperation. - Robert Krajewski; Michael Hoss; Adrian Meister; Fabian Thomsen; Julian Bock; Lutz Eckstein (IV, 2020)

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)

6-Layer Model for a Structured Description and Categorization of Urban Traffic and Environment. - Maike Scholtes; Lukas Westhofen 001; Lara Ruth Turner; Katrin Lotto; Michael Schuldes; Hendrik Weber; Nicolas Wagener; Christian Neurohr; Martin Bollmann; Franziska Körtke; Johannes Hiller; Michael Hoss; et al. (IEEE Access, 2021)

The ConScenD Dataset: Concrete Scenarios from the highD Dataset According to ALKS Regulation UNECE R157 in OpenX. - Alexander Tenbrock; Alexander König; Thomas Keutgens; Julian Bock; Hendrik Weber; Robert Krajewski; Adrian Zlocki (CoRR, 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)

Logical Scenarios Parameterization for Automated Vehicle Safety Assessment: Comparison of Deceleration and Cut-In Scenarios From Japanese and German Highways. - Adrian Zlocki; Alexander König; Julian Bock; Hendrik Weber; Husam Muslim; Hiroki Nakamura; Sandra Préfontaine-Watanabe; Jacobo Antona-Makoshi; Satoshi Taniguchi (IEEE Access, 2022)