Julian Bock

15 papers C 5Journal 6Unranked 4
YearRankTypeTitle / Venue / Authors
2022 J jnl
Logical Scenarios Parameterization for Automated Vehicle Safety Assessment: Comparison of Deceleration and Cut-In Scenarios From Japanese and German Highways.
IEEE Access
Adrian Zlocki, Alexander König, Julian Bock, Hendrik Weber, Husam Muslim, Hiroki Nakamura, Sandra Préfontaine-Watanabe, Jacobo Antona-Makoshi, Satoshi Taniguchi
2022 C conf
The exiD Dataset: A Real-World Trajectory Dataset of Highly Interactive Highway Scenarios in Germany.
IV
Tobias Moers, Lennart Vater, Robert Krajewski, Julian Bock, Adrian Zlocki, Lutz Eckstein
2021 J jnl
6-Layer Model for a Structured Description and Categorization of Urban Traffic and Environment.
IEEE Access
Maike Scholtes, Lukas Westhofen, Lara Ruth Turner, Katrin Lotto, Michael Schuldes, Hendrik Weber, Nicolas Wagener, Christian Neurohr, Martin Bollmann, Franziska Körtke, Johannes Hiller, Michael Hoss, Julian Bock, Lutz Eckstein
2021 — conf
Drone-based Generation of Sensor Reference and Training Data for Highly Automated Vehicles.
ITSC
Robert Krajewski, Lennart Vater, Marvin Klimke, Tobias Moers, Julian Bock, Lutz Eckstein
2021 J jnl
The ConScenD Dataset: Concrete Scenarios from the highD Dataset According to ALKS Regulation UNECE R157 in OpenX.
CoRR
Alexander Tenbrock, Alexander König, Thomas Keutgens, Julian Bock, Hendrik Weber, Robert Krajewski, Adrian Zlocki
2020 J jnl
6-Layer Model for a Structured Description and Categorization of Urban Traffic and Environment.
CoRR
Maike Scholtes, Lukas Westhofen, Lara Ruth Turner, Katrin Lotto, Michael Schuldes, Hendrik Weber, Nicolas Wagener, Christian Neurohr, Martin Bollmann, Franziska Körtke, Johannes Hiller, Michael Hoss, Julian Bock, Lutz Eckstein
2020 C conf
The inD Dataset: A Drone Dataset of Naturalistic Road User Trajectories at German Intersections.
IV
Julian Bock, Robert Krajewski, Tobias Moers, Steffen Runde, Lennart Vater, Lutz Eckstein
2020 — conf
The rounD Dataset: A Drone Dataset of Road User Trajectories at Roundabouts in Germany.
ITSC
Robert Krajewski, Tobias Moers, Julian Bock, Lennart Vater, Lutz Eckstein
2020 C conf
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.
IV
Robert Krajewski, Michael Hoss, Adrian Meister, Fabian Thomsen, Julian Bock, Lutz Eckstein
2019 C conf
Continuously Improving Model of Road User Movement Patterns using Recurrent Neural Networks at Intersections with Connected Sensors.
VEHITS
Julian Bock, Philipp Nolte, Lutz Eckstein
2019 J jnl
The inD Dataset: A Drone Dataset of Naturalistic Road User Trajectories at German Intersections.
CoRR
Julian Bock, Robert Krajewski, Tobias Moers, Steffen Runde, Lennart Vater, Lutz Eckstein
2018 — conf
The highD Dataset: A Drone Dataset of Naturalistic Vehicle Trajectories on German Highways for Validation of Highly Automated Driving Systems.
ITSC
Robert Krajewski, Julian Bock, Laurent Kloeker, Lutz Eckstein
2018 J jnl
The highD Dataset: A Drone Dataset of Naturalistic Vehicle Trajectories on German Highways for Validation of Highly Automated Driving Systems.
CoRR
Robert Krajewski, Julian Bock, Laurent Kloeker, Lutz Eckstein
2017 C conf
Self-learning Trajectory Prediction with Recurrent Neural Networks at Intelligent Intersections.
VEHITS
Julian Bock, Till Beemelmanns, Markus Klösges, Jens Kotte
2014 — conf
Is it safe to change the lane? - Visual exploration of adjacent lanes for autonomous driving.
ITSC
Björn Fröhlich, Julian Bock, Uwe Franke