161 citations · 428 across the 24 of their papers we have counts for
8 papers · 1 filter
One Ontology to Rule Them All: Corner Case Scenarios for Autonomous Driving
Daniel Bogdoll, Stefani Guneshka, J. Marius Zöllner
The core obstacle towards a large-scale deployment of autonomous vehicles currently lies in the long tail of rare events. These are extremely challenging since they do not occur of…
DLCSS: Dynamic Longest Common Subsequences
Daniel Bogdoll, Jonas Rauch, J. Marius Zöllner
Autonomous driving is a key technology towards a brighter, more sustainable future. To enable such a future, it is necessary to utilize autonomous vehicles in shared mobility model…
Experiments on Anomaly Detection in Autonomous Driving by Forward-Backward Style Transfers
Daniel Bogdoll, Meng Zhang, Maximilian Nitsche +1
Great progress has been achieved in the community of autonomous driving in the past few years. As a safety-critical problem, however, anomaly detection is a huge hurdle towards a l…
Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey
Julian Wörmann, Daniel Bogdoll, Christian Brunner +49
The availability of representative datasets is an essential prerequisite for many successful artificial intelligence and machine learning models. However, in real life applications…
Multimodal Detection of Unknown Objects on Roads for Autonomous Driving
Daniel Bogdoll, Enrico Eisen, Maximilian Nitsche +2
Tremendous progress in deep learning over the last years has led towards a future with autonomous vehicles on our roads. Nevertheless, the performance of their perception systems i…
Anomaly Detection in Autonomous Driving: A Survey
Daniel Bogdoll, Maximilian Nitsche, J. Marius Zöllner
Nowadays, there are outstanding strides towards a future with autonomous vehicles on our roads. While the perception of autonomous vehicles performs well under closed-set condition…
Quantification of Actual Road User Behavior on the Basis of Given Traffic Rules
Daniel Bogdoll, Moritz Nekolla, Tim Joseph +1
Driving on roads is restricted by various traffic rules, aiming to ensure safety for all traffic participants. However, human road users usually do not adhere to these rules strict…
Ad-datasets: a meta-collection of data sets for autonomous driving
Daniel Bogdoll, Felix Schreyer, J. Marius Zöllner
Autonomous driving is among the largest domains in which deep learning has been fundamental for progress within the last years. The rise of datasets went hand in hand with this dev…