Tobias Moers

According to our database, Tobias Moers authored at least 11 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2023

A Semi-Automated Corner Case Detection and Evaluation Pipeline.

Isabelle Tülleners, Tobias Moers, Thomas Schulik, Martin Sedlácek

CoRR, 2023

2022

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

Tobias Moers, Lennart Vater, Robert Krajewski, Julian Bock, Adrian Zlocki, Lutz Eckstein

Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

2021

Drone-based Generation of Sensor Reference and Training Data for Highly Automated Vehicles.

Robert Krajewski, Lennart Vater, Marvin Klimke, Tobias Moers, Julian Bock, Lutz Eckstein

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Utilization and Potentials of Unmanned Aerial Vehicles (UAVs) in the Field of Automated Driving: A Survey.

Laurent Kloeker, Tobias Moers, Lennart Vater, Adrian Zlocki, Lutz Eckstein

Proceedings of the 5th International Conference on Vision, Image and Signal Processing, 2021

2020

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

Julian Bock, Robert Krajewski, Tobias Moers, Steffen Runde, Lennart Vater, Lutz Eckstein

Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

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

Robert Krajewski, Tobias Moers, Julian Bock, Lennart Vater, Lutz Eckstein

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.

Robert Krajewski, Tobias Moers, Lutz Eckstein

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.

Robert Krajewski, Tobias Moers, Adrian Meister, Lutz Eckstein

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.

Robert Krajewski, Tobias Moers, Dominik Nerger, Lutz Eckstein

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

SEMTec: Social Emotion Mining Techniques for Analysis and Prediction of Facebook Post Reactions.

Tobias Moers, Florian Krebs, Gerasimos Spanakis

Proceedings of the Agents and Artificial Intelligence - 10th International Conference, 2018

Social Emotion Mining Techniques for Facebook Posts Reaction Prediction.

Florian Krebs, Bruno Lubascher, Tobias Moers, Pieter Schaap, Gerasimos Spanakis

Proceedings of the 10th International Conference on Agents and Artificial Intelligence, 2018