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Julian Bock
Julian Bock
fka GmbH
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Zitiert von
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The highd dataset: A drone dataset of naturalistic vehicle trajectories on german highways for validation of highly automated driving systems
R Krajewski, J Bock, L Kloeker, L Eckstein
2018 21st International Conference on Intelligent Transportation Systems …, 2018
4742018
The ind dataset: A drone dataset of naturalistic road user trajectories at german intersections
J Bock, R Krajewski, T Moers, S Runde, L Vater, L Eckstein
2020 IEEE Intelligent Vehicles Symposium (IV), 1929-1934, 2020
1022020
System validation of highly automated vehicles with a database of relevant traffic scenarios
A Pütz, A Zlocki, J Bock, L Eckstein
situations 1, E5, 2017
842017
The round dataset: A drone dataset of road user trajectories at roundabouts in germany
R Krajewski, T Moers, J Bock, L Vater, L Eckstein
2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020
452020
A framework for definition of logical scenarios for safety assurance of automated driving
H Weber, J Bock, J Klimke, C Roesener, J Hiller, R Krajewski, A Zlocki, ...
Traffic injury prevention 20 (sup1), S65-S70, 2019
412019
Database approach for the sign-off process of highly automated vehicles
A Pütz, A Zlocki, J Küfen, J Bock, L Eckstein
25th International Technical Conference on the Enhanced Safety of Vehicles …, 2017
302017
6-layer model for a structured description and categorization of urban traffic and environment
M Scholtes, L Westhofen, LR Turner, K Lotto, M Schuldes, H Weber, ...
IEEE Access 9, 59131-59147, 2021
292021
Optimisation of energy efficiency based on average driving behaviour and driver's preferences for automated driving
P Themann, J Bock, L Eckstein
IET intelligent transport systems 9 (1), 50-58, 2015
272015
Self-learning Trajectory Prediction with Recurrent Neural Networks at Intelligent Intersections.
J Bock, T Beemelmanns, M Klösges, J Kotte
VEHITS, 346-351, 2017
212017
Data basis for scenario-based validation of HAD on highways
J Bock, R Krajewski, L Eckstein, J Klimke, J Sauerbier, A Zlocki
27th Aachen colloquium automobile and engine technology, 8-10, 2018
192018
The ind dataset: A drone dataset of naturalistic vehicle trajectories at german intersections
J Bock, R Krajewski, T Moers, L Vater, S Runde, L Eckstein
arXiv preprint arXiv:1911.07602, 2019
132019
Definition of scenarios for safety validation of automated driving functions
J Sauerbier, J Bock, H Weber, L Eckstein
ATZ worldwide 121 (1), 42-45, 2019
102019
Energy efficient adaptive cruise control utilizing V2X information
P Themann, J Bock, L Eckstein
9th ITS European Congress 118, 2013
82013
Drones as a tool for the development and safety validation of highly automated driving
R Krajewski, J Bock, L Eckstein
Aachener Kolloquium 2019, 2019
72019
Database of relevant traffic scenarios for highly automated vehicles
A Zlocki, J Bock, L Eckstein
Autonomous Vehicle Test and Development Symposium, 20-22, 2017
72017
The ConScenD Dataset: Concrete Scenarios from the highD Dataset According to ALKS Regulation UNECE R157 in OpenX
A Tenbrock, A König, T Keutgens, H Weber
2021 IEEE Intelligent Vehicles Symposium Workshops (IV Workshops), 174-181, 2021
42021
Definition von Szenarien zur Absicherung automatisierter Fahrfunktionen
J Sauerbier, J Bock, H Weber, L Eckstein
ATZ-Automobiltechnische Zeitschrift 121 (1), 42-45, 2019
42019
Using drones as reference sensors for neural-networks-based modeling of automotive perception errors
R Krajewski, M Hoss, A Meister, F Thomsen, J Bock, L Eckstein
2020 IEEE Intelligent Vehicles Symposium (IV), 708-715, 2020
32020
Is it safe to change the lane?—Visual exploration of adjacent lanes for autonomous driving
B Fröhlich, J Bock, U Franke
17th International IEEE Conference on Intelligent Transportation Systems …, 2014
22014
Logical Scenarios Parameterization for Automated Vehicle Safety Assessment: Comparison of Deceleration and Cut-In Scenarios From Japanese and German Highways
A Zlocki, A König, J Bock, H Weber, H Muslim, H Nakamura, S Watanabe, ...
IEEE Access 10, 26817-26829, 2022
12022
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