Maximilian Zipfl

According to our database, Maximilian Zipfl authored at least 14 papers between 2020 and 2023.

Collaborative distances:

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

2023

Traffic Scene Similarity: a Graph-based Contrastive Learning Approach.

Maximilian Zipfl, Moritz Jarosch, J. Marius Zöllner

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

A Comprehensive Review on Ontologies for Scenario-based Testing in the Context of Autonomous Driving.

Maximilian Zipfl, Nina Koch, J. Marius Zöllner

Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

Inverse Universal Traffic Quality - a Criticality Metric for Crowded Urban Traffic Scenes.

Barbara Schütt, Maximilian Zipfl, J. Marius Zöllner, Eric Sax

Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

Utilizing Hybrid Trajectory Prediction Models to Recognize Highly Interactive Traffic Scenarios.

Maximilian Zipfl, Sven Spickermann, J. Marius Zöllner

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Heterogeneous Graph-based Trajectory Prediction using Local Map Context and Social Interactions.

Daniel Grimm, Maximilian Zipfl, Felix Hertlein, Alexander Naumann, Juergen Luettin, Steffen Thoma, Stefan Schmid, Lavdim Halilaj, Achim Rettinger, J. Marius Zöllner

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Semi-Automatic Ground Truth Trajectory Estimation and Smoothing using Roadside Cameras.

Tobias Fleck, Maximilian Zipfl, J. Marius Zöllner

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Lanelet2 for nuScenes: Enabling Spatial Semantic Relationships and Diverse Map-based Anchor Paths.

Alexander Naumann, Felix Hertlein, Daniel Grimm, Maximilian Zipfl, Steffen Thoma, Achim Rettinger, Lavdim Halilaj, Juergen Luettin, Stefan Schmid, Holger Caesar

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Self Supervised Clustering of Traffic Scenes using Graph Representations.

Maximilian Zipfl, Moritz Jarosch, J. Marius Zöllner

CoRR, 2022

Fingerprint of a Traffic Scene: an Approach for a Generic and Independent Scene Assessment.

Maximilian Zipfl, Barbara Schütt, J. Marius Zöllner, Eric Sax

CoRR, 2022

Towards Traffic Scene Description: The Semantic Scene Graph.

Maximilian Zipfl, J. Marius Zöllner

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Relation-based Motion Prediction using Traffic Scene Graphs.

Maximilian Zipfl, Felix Hertlein, Achim Rettinger, Steffen Thoma, Lavdim Halilaj, Juergen Luettin, Stefan Schmid, Cory Henson

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

2021

Reliving the Dataset: Combining the Visualization of Road Users' Interactions with Scenario Reconstruction in Virtual Reality.

Lars Töttel, Maximilian Zipfl, Daniel Bogdoll, Marc René Zofka, J. Marius Zöllner

CoRR, 2021

2020

Pushing ROS towards the Dark Side: A ROS-based Co-Simulation Architecture for Mixed-Reality Test Systems for Autonomous Vehicles.

Marc René Zofka, Lars Töttel, Maximilian Zipfl, Marc Heinrich, Tobias Fleck, Patrick Schulz, J. Marius Zöllner

Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2020

From Traffic Sensor Data To Semantic Traffic Descriptions: The Test Area Autonomous Driving Baden-Württemberg Dataset (TAF-BW Dataset).

Maximilian Zipfl, Tobias Fleck, Marc René Zofka, J. Marius Zöllner

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020