Daniel Bogdoll

According to our database, Daniel Bogdoll authored at least 23 papers between 2021 and 2024.

Collaborative distances:

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

2024

Informed Reinforcement Learning for Situation-Aware Traffic Rule Exceptions.

Daniel Bogdoll, Jing Qin, Moritz Nekolla, Ahmed Abouelazm, Tim Joseph, J. Marius Zöllner

CoRR, 2024

2023

On The Impact of Replacing Private Cars with Autonomous Shuttles: An Agent-Based Approach.

Daniel Bogdoll, Louis Karsch, Jennifer Amritzer, J. Marius Zöllner

CoRR, 2023

MUVO: A Multimodal Generative World Model for Autonomous Driving with Geometric Representations.

Daniel Bogdoll, Yitian Yang, J. Marius Zöllner

CoRR, 2023

From Model-Based to Data-Driven Simulation: Challenges and Trends in Autonomous Driving.

Ferdinand Mütsch, Helen Gremmelmaier, Nicolas Becker, Daniel Bogdoll, Marc René Zofka, J. Marius Zöllner

CoRR, 2023

Impact, Attention, Influence: Early Assessment of Autonomous Driving Datasets.

Daniel Bogdoll, Jonas Hendl, Felix Schreyer, Nishanth Gowda, Michael Färber, J. Marius Zöllner

CoRR, 2023

Conditioning Latent-Space Clusters for Real-World Anomaly Classification.

Daniel Bogdoll, Svetlana Pavlitska, Simon Klaus, J. Marius Zöllner

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Exploring the Potential of World Models for Anomaly Detection in Autonomous Driving.

Daniel Bogdoll, Lukas Bosch, Tim Joseph, Helen Gremmelmaier, Yitian Yang, J. Marius Zöllner

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Perception Datasets for Anomaly Detection in Autonomous Driving: A Survey.

Daniel Bogdoll, Svenja Uhlemeyer, Kamil Kowol, J. Marius Zöllner

Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

What Does Really Count? Estimating Relevance of Corner Cases for Semantic Segmentation in Automated Driving.

Jasmin Breitenstein, Florian Heidecker, Maria Lyssenko, Daniel Bogdoll, Maarten Bieshaar, J. Marius Zöllner, Bernhard Sick, Tim Fingscheidt

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

DLCSS: Dynamic Longest Common Subsequences.

Daniel Bogdoll, Jonas Rauch, J. Marius Zöllner

CoRR, 2022

Experiments on Anomaly Detection in Autonomous Driving by Forward-Backward Style Transfers.

Daniel Bogdoll, Meng Zhang, Maximilian Nitsche, J. Marius Zöllner

CoRR, 2022

Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey.

Julian Wörmann, Daniel Bogdoll, Etienne Bührle, Han Chen, Evaristus Fuh Chuo, Kostadin Cvejoski, Ludger van Elst, Tobias Gleißner, Philip Gottschall, Stefan Griesche, Christian Hellert, Christian Hesels, Sebastian Houben, Tim Joseph, Niklas Keil, Johann Kelsch, Hendrik Königshof, Erwin Kraft, Leonie Kreuser, Kevin Krone, Tobias Latka, Denny Mattern, Stefan Matthes, Mohsin Munir, Moritz Nekolla, Adrian Paschke, Maximilian Alexander Pintz, Tianming Qiu, Faraz Qureishi, Syed Tahseen Raza Rizvi, Jörg Reichardt, Laura von Rüden, Stefan Rudolph, Alexander Sagel, Gerhard Schunk, Hao Shen, Hendrik Stapelbroek, Vera Stehr, Gurucharan Srinivas, Anh Tuan Tran, Abhishek Vivekanandan, Ya Wang, Florian Wasserrab, Tino Werner, Christian Wirth, Stefan Zwicklbauer

CoRR, 2022

Ad-datasets: A Meta-collection of Data Sets for Autonomous Driving.

Daniel Bogdoll, Felix Schreyer, J. Marius Zöllner

Proceedings of the 8th International Conference on Vehicle Technology and Intelligent Transport Systems, 2022

Multimodal Detection of Unknown Objects on Roads for Autonomous Driving.

Daniel Bogdoll, Enrico Eisen, Maximilian Nitsche, Christin Scheib, J. Marius Zöllner

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Quantification of Actual Road User Behavior on the Basis of Given Traffic Rules.

Daniel Bogdoll, Moritz Nekolla, Tim Joseph, J. Marius Zöllner

Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

One Ontology to Rule Them All: Corner Case Scenarios for Autonomous Driving.

Daniel Bogdoll, Stefani Guneshka, J. Marius Zöllner

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Anomaly Detection in Autonomous Driving: A Survey.

Daniel Bogdoll, Maximilian Nitsche, J. Marius Zöllner

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Compressing Sensor Data for Remote Assistance of Autonomous Vehicles using Deep Generative Models.

Daniel Bogdoll, Johannes Jestram, Jonas Rauch, Christin Scheib, Moritz Wittig, J. Marius Zöllner

CoRR, 2021

Taxonomy and Survey on Remote Human Input Systems for Driving Automation Systems.

Daniel Bogdoll, Stefan Orf, Lars Töttel, J. Marius Zöllner

CoRR, 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

Towards Sensor Data Abstraction of Autonomous Vehicle Perception Systems.

Hannes Reichert, Lukas Lang, Kevin Rösch, Daniel Bogdoll, Konrad Doll, Bernhard Sick, Hans-Christian Reuss, Christoph Stiller, J. Marius Zöllner

Proceedings of the IEEE International Smart Cities Conference, 2021

Kiglis: Smart Networks for Smart Cities.

Daniel Bogdoll, Patrick Matalla, Christoph Füllner, Christian Raack, Shi Li, Tobias Käfer, Stefan Orf, Marc René Zofka, Finn Sartoris, Christoph Schweikert, Thomas Pfeiffer, André Richter, Sebastian Randel, Rene Bonk

Proceedings of the IEEE International Smart Cities Conference, 2021

Description of Corner Cases in Automated Driving: Goals and Challenges.

Daniel Bogdoll, Jasmin Breitenstein, Florian Heidecker, Maarten Bieshaar, Bernhard Sick, Tim Fingscheidt, J. Marius Zöllner

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021