Daniel Bogdoll | DeepAI

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∙ 09/18/2023

Conditioning Latent-Space Clusters for Real-World Anomaly Classification

Anomalies in the domain of autonomous driving are a major hindrance to t...

0 Daniel Bogdoll, et al. ∙

∙ 08/10/2023

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

In recent years there have been remarkable advancements in autonomous dr...

0 Daniel Bogdoll, et al. ∙

∙ 05/23/2023

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

Simulation is an integral part in the process of developing autonomous v...

0 Ferdinand Mütsch, et al. ∙

∙ 02/06/2023

Perception Datasets for Anomaly Detection in Autonomous Driving: A Survey

Deep neural networks (DNN) which are employed in perception systems for ...

0 Daniel Bogdoll, et al. ∙

∙ 01/05/2023

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

Autonomous Driving (AD), the area of robotics with the greatest potentia...

0 Daniel Bogdoll, et al. ∙

∙ 09/01/2022

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

The core obstacle towards a large-scale deployment of autonomous vehicle...

0 Daniel Bogdoll, et al. ∙

∙ 07/13/2022

DLCSS: Dynamic Longest Common Subsequences

Autonomous driving is a key technology towards a brighter, more sustaina...

0 Daniel Bogdoll, et al. ∙

∙ 07/13/2022

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

Great progress has been achieved in the community of autonomous driving ...

0 Daniel Bogdoll, et al. ∙

∙ 05/10/2022

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

The existence of representative datasets is a prerequisite of many succe...

9 Julian Wörmann, et al. ∙

∙ 05/03/2022

Multimodal Detection of Unknown Objects on Roads for Autonomous Driving

Tremendous progress in deep learning over the last years has led towards...

0 Daniel Bogdoll, et al. ∙

∙ 04/17/2022

Anomaly Detection in Autonomous Driving: A Survey

Nowadays, there are outstanding strides towards a future with autonomous...

0 Daniel Bogdoll, et al. ∙

∙ 02/07/2022

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

Driving on roads is restricted by various traffic rules, aiming to ensur...

0 Daniel Bogdoll, et al. ∙

∙ 02/03/2022

Ad-datasets: a meta-collection of data sets for autonomous driving

Autonomous driving is among the largest domains in which deep learning h...

0 Daniel Bogdoll, et al. ∙

∙ 11/05/2021

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

In the foreseeable future, autonomous vehicles will require human assist...

35 Daniel Bogdoll, et al. ∙

∙ 09/20/2021

Description of Corner Cases in Automated Driving: Goals and Challenges

Scaling the distribution of automated vehicles requires handling various...

0 Daniel Bogdoll, et al. ∙

∙ 09/17/2021

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

Corner cases for driving automation systems can often be detected by the...

0 Daniel Bogdoll, et al. ∙

∙ 05/14/2021

Towards Sensor Data Abstraction of Autonomous Vehicle Perception Systems

Full-stack autonomous driving perception modules usually consist of data...

0 Hannes Reichert, et al. ∙

∙ 05/14/2021

KIGLIS: Smart Networks for Smart Cities

Smart cities will be characterized by a variety of intelligent and netwo...

0 Daniel Bogdoll, et al. ∙

∙ 05/04/2021

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

One core challenge in the development of automated vehicles is their cap...

0 Lars Töttel, et al. ∙

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