A Semi-Automated Corner Case Detection and Evaluation Pipeline

no code implementations • 25 May 2023 • Isabelle Tulleners, Tobias Moers, Thomas Schulik, Martin Sedlacek

In order to deploy automated vehicles to the public, it has to be proven that the vehicle can safely and robustly handle traffic in many different scenarios.

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.

The rounD Dataset: A Drone Dataset of Road User Trajectories at Roundabouts in Germany

1 code implementation • IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC) 2020 • Robert Krajewski, Tobias Moers, Julian Bock, Lennart Vater, Lutz Eckstein

We present a new dataset of road user trajectories at roundabouts in Germany.

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

1 code implementation • 18 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

Social Emotion Mining Techniques for Facebook Posts Reaction Prediction

1 code implementation • 8 Dec 2017 • Florian Krebs, Bruno Lubascher, Tobias Moers, Pieter Schaap, Gerasimos Spanakis

In order to predict the distribution of reactions of a new post, neural network architectures (convolutional and recurrent neural networks) were tested using pretrained word embeddings.

Word Embeddings