Robert Krajewski

19 papers A 1B 2C 5Journal 6Unranked 5
YearRankTypeTitle / Venue / Authors
2024 J jnl
DeepAerialMapper: Deep Learning-based Semi-automatic HD Map Creation for Highly Automated Vehicles.
CoRR
Robert Krajewski, Huijo Kim
2022 J jnl
An Automated Analysis Framework for Trajectory Datasets.
CoRR
Christoph Glasmacher, Robert Krajewski, Lutz Eckstein
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 C conf
Comparison of Camera-Equipped Drones and Infrastructure Sensors for Creating Trajectory Datasets of Road Users.
VEHITS
Amarin Kloeker, Robert Krajewski, 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 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 — conf
BézierVAE: Improved Trajectory Modeling using Variational Autoencoders for the Safety Validation of Highly Automated Vehicles.
ITSC
Robert Krajewski, Tobias Moers, Adrian Meister, 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
2019 A conf
VeGAN: Using GANs for Augmentation in Latent Space to Improve the Semantic Segmentation of Vehicles in Images From an Aerial Perspective.
WACV
Robert Krajewski, Tobias Moers, Lutz Eckstein
2018 — conf
Data-Driven Maneuver Modeling using Generative Adversarial Networks and Variational Autoencoders for Safety Validation of Highly Automated Vehicles.
ITSC
Robert Krajewski, Tobias Moers, Dominik Nerger, 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
2016 J jnl
A novel method for dictionary translation.
J. Intell. Inf. Syst.
Robert Krajewski, Henryk Rybinski, Marek Kozlowski
2016 B conf
Decoupled cooperative trajectory optimization for connected highly automated vehicles at urban intersections.
Intelligent Vehicles Symposium
Robert Krajewski, Philipp Themann, Lutz Eckstein
2014 C conf
A Seed Based Method for Dictionary Translation.
ISMIS
Robert Krajewski, Henryk Rybinski, Marek Kozlowski
2014 B conf
Discrete dynamic optimization in automated driving systems to improve energy efficiency in cooperative networks.
Intelligent Vehicles Symposium
Philipp Themann, Robert Krajewski, Lutz Eckstein