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Daniel Bogdoll
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2020 – today
- 2024
- [c14]Daniel Bogdoll, Jing Qin, Moritz Nekolla, Ahmed Abouelazm, Tim Joseph, J. Marius Zöllner:
Informed Reinforcement Learning for Situation-Aware Traffic Rule Exceptions. ICRA 2024: 14198-14204 - [c13]Martin Gontscharow, Jens Doll, Albert Schotschneider, Daniel Bogdoll, Stefan Orf, Johannes Jestram, Marc René Zofka, J. Marius Zöllner:
Scalable Remote Operation for Autonomous Vehicles: Integration of Cooperative Perception and Open Source Communication. IV 2024: 43-50 - [i27]Daniel Bogdoll, Jing Qin, Moritz Nekolla, Ahmed Abouelazm, Tim Joseph, J. Marius Zöllner:
Informed Reinforcement Learning for Situation-Aware Traffic Rule Exceptions. CoRR abs/2402.04168 (2024) - [i26]Sven Ochs, Jens Doll, Daniel Grimm, Tobias Fleck, Marc Heinrich, Stefan Orf, Albert Schotschneider, Helen Gremmelmaier, Rupert Polley, Svetlana Pavlitska, Maximilian Zipfl, Helen Schneider, Ferdinand Mütsch, Daniel Bogdoll, Florian Kuhnt, Philip Schörner, Marc René Zofka, J. Marius Zöllner:
One Stack to Rule them All: To Drive Automated Vehicles, and Reach for the 4th level. CoRR abs/2404.02645 (2024) - [i25]Daniel Bogdoll, Iramm Hamdard, Lukas Namgyu Rößler, Felix Geisler, Muhammed Bayram, Felix Wang, Jan Imhof, Miguel de Campos, Anushervon Tabarov, Yitian Yang, Hanno Gottschalk, J. Marius Zöllner:
AnoVox: A Benchmark for Multimodal Anomaly Detection in Autonomous Driving. CoRR abs/2405.07865 (2024) - [i24]Daniel Bogdoll, Noël Ollick, Tim Joseph, J. Marius Zöllner:
UMAD: Unsupervised Mask-Level Anomaly Detection for Autonomous Driving. CoRR abs/2406.06370 (2024) - [i23]Daniel Bogdoll, Jan Imhof, Tim Joseph, J. Marius Zöllner:
Hybrid Video Anomaly Detection for Anomalous Scenarios in Autonomous Driving. CoRR abs/2406.06423 (2024) - [i22]Daniel Bogdoll, Finn Sartoris, Vincent Geppert, Svetlana Pavlitska, J. Marius Zöllner:
Complementary Learning for Real-World Model Failure Detection. CoRR abs/2407.14306 (2024) - 2023
- [c12]Jasmin Breitenstein, Florian Heidecker, Maria Lyssenko, Daniel Bogdoll, Maarten Bieshaar, J. Marius Zöllner, Bernhard Sick, Tim Fingscheidt:
What Does Really Count? Estimating Relevance of Corner Cases for Semantic Segmentation in Automated Driving. ICCV (Workshops) 2023: 3993-4002 - [c11]Daniel Bogdoll, Svenja Uhlemeyer, Kamil Kowol, J. Marius Zöllner:
Perception Datasets for Anomaly Detection in Autonomous Driving: A Survey. IV 2023: 1-8 - [c10]Daniel Bogdoll, Lukas Bosch, Tim Joseph, Helen Gremmelmaier, Yitian Yang, J. Marius Zöllner:
Exploring the Potential of World Models for Anomaly Detection in Autonomous Driving. SSCI 2023: 488-495 - [c9]Daniel Bogdoll
, Svetlana Pavlitska, Simon Klaus, J. Marius Zöllner:
Conditioning Latent-Space Clusters for Real-World Anomaly Classification. SSCI 2023: 1620-1625 - [i21]Daniel Bogdoll, Jonas Hendl, Felix Schreyer, Nishanth Gowda, Michael Färber, J. Marius Zöllner:
Impact, Attention, Influence: Early Assessment of Autonomous Driving Datasets. CoRR abs/2301.02200 (2023) - [i20]Daniel Bogdoll, Svenja Uhlemeyer, Kamil Kowol, J. Marius Zöllner:
Perception Datasets for Anomaly Detection in Autonomous Driving: A Survey. CoRR abs/2302.02790 (2023) - [i19]Ferdinand Mütsch, Helen Gremmelmaier, Nicolas Becker, Daniel Bogdoll, Marc René Zofka, J. Marius Zöllner:
From Model-Based to Data-Driven Simulation: Challenges and Trends in Autonomous Driving. CoRR abs/2305.13960 (2023) - [i18]Daniel Bogdoll, Lukas Bosch, Tim Joseph, Helen Gremmelmaier, Yitian Yang, J. Marius Zöllner:
Exploring the Potential of World Models for Anomaly Detection in Autonomous Driving. CoRR abs/2308.05701 (2023) - [i17]Daniel Bogdoll, Svetlana Pavlitska, Simon Klaus, J. Marius Zöllner:
Conditioning Latent-Space Clusters for Real-World Anomaly Classification. CoRR abs/2309.09676 (2023) - [i16]Daniel Bogdoll, Yitian Yang, J. Marius Zöllner:
MUVO: A Multimodal Generative World Model for Autonomous Driving with Geometric Representations. CoRR abs/2311.11762 (2023) - [i15]Daniel Bogdoll, Louis Karsch, Jennifer Amritzer, J. Marius Zöllner:
On The Impact of Replacing Private Cars with Autonomous Shuttles: An Agent-Based Approach. CoRR abs/2311.14118 (2023) - 2022
- [c8]Daniel Bogdoll
, Maximilian Nitsche, J. Marius Zöllner:
Anomaly Detection in Autonomous Driving: A Survey. CVPR Workshops 2022: 4487-4498 - [c7]Daniel Bogdoll
, Stefani Guneshka, J. Marius Zöllner:
One Ontology to Rule Them All: Corner Case Scenarios for Autonomous Driving. ECCV Workshops (5) 2022: 409-425 - [c6]Daniel Bogdoll
, Moritz Nekolla, Tim Joseph, J. Marius Zöllner:
Quantification of Actual Road User Behavior on the Basis of Given Traffic Rules. IV 2022: 1093-1098 - [c5]Daniel Bogdoll
, Enrico Eisen, Maximilian Nitsche, Christin Scheib, J. Marius Zöllner:
Multimodal Detection of Unknown Objects on Roads for Autonomous Driving. SMC 2022: 325-332 - [c4]Daniel Bogdoll
, Felix Schreyer, J. Marius Zöllner:
Ad-datasets: A Meta-collection of Data Sets for Autonomous Driving. VEHITS 2022: 46-56 - [i14]Daniel Bogdoll, Felix Schreyer, J. Marius Zöllner:
Ad-datasets: a meta-collection of data sets for autonomous driving. CoRR abs/2202.01909 (2022) - [i13]Daniel Bogdoll, Moritz Nekolla, Tim Joseph, J. Marius Zöllner:
Quantification of Actual Road User Behavior on the Basis of Given Traffic Rules. CoRR abs/2202.09269 (2022) - [i12]Daniel Bogdoll
, Maximilian Nitsche, J. Marius Zöllner:
Anomaly Detection in Autonomous Driving: A Survey. CoRR abs/2204.07974 (2022) - [i11]Daniel Bogdoll
, Enrico Eisen, Maximilian Nitsche, Christin Scheib, J. Marius Zöllner:
Multimodal Detection of Unknown Objects on Roads for Autonomous Driving. CoRR abs/2205.01414 (2022) - [i10]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:
Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey. CoRR abs/2205.04712 (2022) - [i9]Daniel Bogdoll
, Meng Zhang, Maximilian Nitsche, J. Marius Zöllner:
Experiments on Anomaly Detection in Autonomous Driving by Forward-Backward Style Transfers. CoRR abs/2207.06055 (2022) - [i8]Daniel Bogdoll
, Jonas Rauch, J. Marius Zöllner:
DLCSS: Dynamic Longest Common Subsequences. CoRR abs/2207.06061 (2022) - [i7]Daniel Bogdoll
, Stefani Guneshka, J. Marius Zöllner:
One Ontology to Rule Them All: Corner Case Scenarios for Autonomous Driving. CoRR abs/2209.00342 (2022) - 2021
- [c3]Daniel Bogdoll
, Jasmin Breitenstein
, Florian Heidecker, Maarten Bieshaar, Bernhard Sick, Tim Fingscheidt
, J. Marius Zöllner:
Description of Corner Cases in Automated Driving: Goals and Challenges. ICCVW 2021: 1023-1028 - [c2]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:
Kiglis: Smart Networks for Smart Cities. ISC2 2021: 1-4 - [c1]Hannes Reichert, Lukas Lang, Kevin Rösch, Daniel Bogdoll
, Konrad Doll, Bernhard Sick, Hans-Christian Reuss, Christoph Stiller, J. Marius Zöllner:
Towards Sensor Data Abstraction of Autonomous Vehicle Perception Systems. ISC2 2021: 1-4 - [i6]Lars Töttel, Maximilian Zipfl, Daniel Bogdoll, Marc René Zofka, J. Marius Zöllner:
Reliving the Dataset: Combining the Visualization of Road Users' Interactions with Scenario Reconstruction in Virtual Reality. CoRR abs/2105.01610 (2021) - [i5]Hannes Reichert, Lukas Lang, Kevin Rösch, Daniel Bogdoll, Konrad Doll, Bernhard Sick, Hans-Christian Reuss, Christoph Stiller, J. Marius Zöllner:
Towards Sensor Data Abstraction of Autonomous Vehicle Perception Systems. CoRR abs/2105.06896 (2021) - [i4]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:
KIGLIS: Smart Networks for Smart Cities. CoRR abs/2106.04549 (2021) - [i3]Daniel Bogdoll, Stefan Orf, Lars Töttel, J. Marius Zöllner:
Taxonomy and Survey on Remote Human Input Systems for Driving Automation Systems. CoRR abs/2109.08599 (2021) - [i2]Daniel Bogdoll, Jasmin Breitenstein, Florian Heidecker, Maarten Bieshaar, Bernhard Sick, Tim Fingscheidt, J. Marius Zöllner:
Description of Corner Cases in Automated Driving: Goals and Challenges. CoRR abs/2109.09607 (2021) - [i1]Daniel Bogdoll, Johannes Jestram
, Jonas Rauch, Christin Scheib, Moritz Wittig, J. Marius Zöllner:
Compressing Sensor Data for Remote Assistance of Autonomous Vehicles using Deep Generative Models. CoRR abs/2111.03201 (2021)
Coauthor Index
aka: J. Marius Zöllner
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last updated on 2024-08-23 18:34 CEST by the dblp team
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