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Daniel Bogdoll
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Anomaly Detection in Autonomous Driving: A Survey
D Bogdoll, M Nitsche, JM Zöllner
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR …, 2022
792022
Augmenting Real Sensor Recordings With Simulated Sensor Data
D Bogdoll, S Paudel, T Koduri
US Patent US11455565B2, 2022
552022
Description of corner cases in automated driving: Goals and challenges
D Bogdoll, J Breitenstein, F Heidecker, M Bieshaar, B Sick, T Fingscheidt, ...
IEEE/CVF International Conference on Computer Vision (ICCV) Workshop, 1023-1028, 2021
352021
Taxonomy and Survey on Remote Human Input Systems for Driving Automation Systems
D Bogdoll, S Orf, L Töttel, JM Zöllner
Future of Information and Communication (FICC), 2021
242021
One ontology to rule them all: Corner case scenarios for autonomous driving
D Bogdoll, S Guneshka, JM Zöllner
European Conference on Computer Vision, 409-425, 2022
222022
Knowledge augmented machine learning with applications in autonomous driving: A survey
J Wörmann, D Bogdoll, E Bührle, H Chen, EF Chuo, K Cvejoski, L van Elst, ...
arXiv preprint arXiv:2205.04712, 2022
102022
ad-datasets: a meta-collection of data sets for autonomous driving
D Bogdoll, F Schreyer, JM Zöllner
International Conference on Vehicle Technology and Intelligent Transport …, 2022
102022
Perception datasets for anomaly detection in autonomous driving: a survey
D Bogdoll, S Uhlemeyer, K Kowol, JM Zöllner
2023 IEEE Intelligent Vehicles Symposium (IV), 1-8, 2023
82023
KIGLIS: Smart Networks for Smart Cities
D Bogdoll, P Matalla, C Füllner, C Raack, S Li, T Käfer, S Orf, MR Zofka, ...
IEEE International Smart Cities Conference (ISC2), 1-4, 2021
82021
From model-based to data-driven simulation: Challenges and trends in autonomous driving
F Mütsch, H Gremmelmaier, N Becker, D Bogdoll, MR Zofka, JM Zöllner
arXiv preprint arXiv:2305.13960, 2023
72023
Reliving the Dataset: Combining the Visualization of Road Users’ Interactions with Scenario Reconstruction in Virtual Reality
L Töttel, M Zipfl, D Bogdoll, MR Zofka, JM Zöllner
International Conference on Intelligent Transportation Engineering (ICITE …, 2022
72022
Multimodal detection of unknown objects on roads for autonomous driving
D Bogdoll, E Eisen, M Nitsche, C Scheib, JM Zöllner
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2022
62022
Compressing Sensor Data for Remote Assistance of Autonomous Vehicles using Deep Generative Models
D Bogdoll, J Jestram, J Rauch, C Scheib, M Wittig, JM Zöllner
Conference on Neural Information Processing Systems (NeurIPS) Workshop, 2021
62021
AUREATE: An Augmented Reality Test Environment for Realistic Simulations
T Koduri, D Bogdoll, S Paudel, G Sholingar
SAE World Congress Experience (WCX), 2018
62018
Impact, attention, influence: Early assessment of autonomous driving datasets
D Bogdoll, J Hendl, F Schreyer, N Gowda, M Färber, JM Zöllner
2023 8th International Conference on Control and Robotics Engineering (ICCRE …, 2023
42023
Quantification of Actual Road User Behavior on the Basis of Given Traffic Rules
D Bogdoll, M Nekolla, T Joseph, JM Zöllner
IEEE Intelligent Vehicles Symposium (IV), 1093-1098, 2022
42022
Towards Sensor Data Abstraction of Autonomous Vehicle Perception Systems
H Reichert, L Lang, K Rösch, D Bogdoll, K Doll, B Sick, HC Reuss, ...
IEEE International Smart Cities Conference (ISC2), 1-4, 2021
42021
Muvo: A multimodal generative world model for autonomous driving with geometric representations
D Bogdoll, Y Yang, JM Zöllner
arXiv preprint arXiv:2311.11762, 2023
32023
Exploring the Potential of World Models for Anomaly Detection in Autonomous Driving
D Bogdoll, L Bosch, T Joseph, H Gremmelmaier, Y Yang, JM Zöllner
2023 IEEE Symposium Series on Computational Intelligence (SSCI), 488-495, 2023
22023
What Does Really Count? Estimating Relevance of Corner Cases for Semantic Segmentation in Automated Driving
J Breitenstein, F Heidecker, M Lyssenko, D Bogdoll, M Bieshaar, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
22023
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