Robert Krajewski
According to our database1,
Robert Krajewski
authored at least 16 papers
between 2014 and 2022.
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Bibliography
2022
The exiD Dataset: A Real-World Trajectory Dataset of Highly Interactive Highway Scenarios in Germany.
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022
2021
The ConScenD Dataset: Concrete Scenarios from the highD Dataset According to ALKS Regulation UNECE R157 in OpenX.
CoRR, 2021
Comparison of Camera-Equipped Drones and Infrastructure Sensors for Creating Trajectory Datasets of Road Users.
Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems, 2021
Drone-based Generation of Sensor Reference and Training Data for Highly Automated Vehicles.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021
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.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020
The inD Dataset: A Drone Dataset of Naturalistic Road User Trajectories at German Intersections.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020
The rounD Dataset: A Drone Dataset of Road User Trajectories at Roundabouts in Germany.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020
2019
VeGAN: Using GANs for Augmentation in Latent Space to Improve the Semantic Segmentation of Vehicles in Images From an Aerial Perspective.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019
BézierVAE: Improved Trajectory Modeling using Variational Autoencoders for the Safety Validation of Highly Automated Vehicles.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019
2018
Data-Driven Maneuver Modeling using Generative Adversarial Networks and Variational Autoencoders for Safety Validation of Highly Automated Vehicles.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018
The highD Dataset: A Drone Dataset of Naturalistic Vehicle Trajectories on German Highways for Validation of Highly Automated Driving Systems.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018
2016
Decoupled cooperative trajectory optimization for connected highly automated vehicles at urban intersections.
Proceedings of the 2016 IEEE Intelligent Vehicles Symposium, 2016
2014
Discrete dynamic optimization in automated driving systems to improve energy efficiency in cooperative networks.
Proceedings of the 2014 IEEE Intelligent Vehicles Symposium Proceedings, 2014
Proceedings of the Foundations of Intelligent Systems - 21st International Symposium, 2014