Search Results for author: Robert Krajewski

Found 5 papers, 4 papers with code

The exiD Dataset: A Real-World Trajectory Dataset of Highly Interactive Highway Scenarios in Germany

1 code implementation IEEE Intelligent Vehicles Symposium (IV) 2022 Tobias Moers, Lennart Vater, Robert Krajewski, Julian Bock, Adrian Zlocki, Lutz Eckstein

For system-level evaluation and safety validation of an automated driving system, real-world trajectory datasets are of great value for several tasks in the process, i. a.

An Automated Analysis Framework for Trajectory Datasets

no code implementations12 Feb 2022 Christoph Glasmacher, Robert Krajewski, Lutz Eckstein

Considering this amount of data, it is necessary to be able to compare these datasets in-depth with ease to get an overview.

Anomaly Detection

The inD Dataset: A Drone Dataset of Naturalistic Road User Trajectories at German Intersections

1 code implementation18 Nov 2019 Julian Bock, Robert Krajewski, Tobias Moers, Steffen Runde, Lennart Vater, Lutz Eckstein

The dataset consists of 10 hours of measurement data from four intersections and is available online for non-commercial research at: http://www. inD-dataset. com

The highD Dataset: A Drone Dataset of Naturalistic Vehicle Trajectories on German Highways for Validation of Highly Automated Driving Systems

1 code implementation11 Oct 2018 Robert Krajewski, Julian Bock, Laurent Kloeker, Lutz Eckstein

Scenario-based testing for the safety validation of highly automated vehicles is a promising approach that is being examined in research and industry.

Trajectory Prediction

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