44 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of KasselDE6 papers
- Klinikum AschaffenburgDE2 papers
- University of PassauDE2 papers
- Ansbach University of Applied SciencesDE1 paper
- Carl von Ossietzky Universität OldenburgDE1 paper
- CEA Paris-SaclayFR1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR1 paper
- CY Cergy Paris UniversitéFR1 paper
- Czech Academy of Sciences, Heyrovsky InstituteCZ1 paper
- Czech Academy of Sciences, Institute of BiophysicsCZ1 paper
- FZI Research Center for Information TechnologyDE1 paper
17 papers
Enhancing Visual Perception in Foggy Conditions via Multiclass Fog Density Modeling
Mohamad Mofeed Chaar, Galia Weidl
Autonomous driving (AD) systems have advanced rapidly over the past decade; however, robust perception under adverse weather conditions remains a major challenge, particularly in d…
Predicting Depth Maps from Single RGB Images and Addressing Missing Information in Depth Estimation
Mohamad Mofeed Chaar, Jamal Raiyn, Galia Weidl
Depth imaging is a crucial area in Autonomous Driving Systems (ADS), as it plays a key role in detecting and measuring objects in the vehicle's surroundings. However, a significant…
Improve bounding box in Carla Simulator
Mohamad Mofeed Chaar, Jamal Raiyn, Galia Weidl
The CARLA simulator (Car Learning to Act) serves as a robust platform for testing algorithms and generating datasets in the field of Autonomous Driving (AD). It provides control ov…
Towards practicable Machine Learning development using AI Engineering Blueprints
Nicolas Weeger, Annika Stiehl, Jóakim vom Kistowski +2
The implementation of artificial intelligence (AI) in business applications holds considerable promise for significant improvements. The development of AI systems is becoming incre…
Reliable Probabilistic Human Trajectory Prediction for Autonomous Applications
Manuel Hetzel, Hannes Reichert, Konrad Doll +1
Autonomous systems, like vehicles or robots, require reliable, accurate, fast, resource-efficient, scalable, and low-latency trajectory predictions to get initial knowledge about f…
Comparison Performance of Spectrogram and Scalogram as Input of Acoustic Recognition Task
Dang Thoai Phan
Acoustic recognition has emerged as a prominent task in deep learning research, frequently utilizing spectral feature extraction techniques such as the spectrogram from the Short-T…
Condensed Matter Systems Exposed to Radiation: Multiscale Theory, Simulations, and Experiment
Andrey V. Solov'yov, Alexey V. Verkhovtsev, Nigel J. Mason +20
This paper reviews the new highly interdisciplinary research field studying the behavior of condensed matter systems exposed to radiation. The paper highlights several relevant exa…
Heavy quark diffusion coefficient during hydrodynamization -- non-equilibrium vs. equilibrium
Kirill Boguslavski, Aleksi Kurkela, Tuomas Lappi +2
We compute the heavy quark momentum diffusion coefficient using effective kinetic theory for a system going through bottom-up isotropization until approximate hydrodynamization. We…
ITS3: A truly cylindrical inner tracker for ALICE
Jory Sonneveld
After the successful installation and first operation of the new Inner Tracking System (ITS2), which consists of about 10 m of monolithic silicon pixel sensors, ALICE is pionee…
Smart Infrastructure: A Research Junction
Manuel Hetzel, Hannes Reichert, Konrad Doll +1
Complex inner-city junctions are among the most critical traffic areas for injury and fatal accidents. The development of highly automated driving (HAD) systems struggles with the…
Towards Sensor Data Abstraction of Autonomous Vehicle Perception Systems
Hannes Reichert, Lukas Lang, Kevin Rösch +6
Full-stack autonomous driving perception modules usually consist of data-driven models based on multiple sensor modalities. However, these models might be biased to the sensor setu…
A Wavelet Based Sparse Row-Action Method for Image Reconstruction in Magnetic Particle Imaging
Florian Lieb, Tobias Knopp
Magnetic Particle Imaging (MPI) is a preclinical imaging technique capable of visualizing the spatio-temporal distribution of magnetic nanoparticles. The image reconstruction of th…
Comparison of different spike train synchrony measures regarding their robustness to erroneous data from bicuculline induced epileptiform activity
Manuel Ciba, Robert Bestel, Christoph Nick +6
As synchronized activity is associated with basic brain functions and pathological states, spike train synchrony has become an important measure to analyze experimental neuronal da…
Intentions of Vulnerable Road Users - Detection and Forecasting by Means of Machine Learning
Michael Goldhammer, Sebastian Köhler, Stefan Zernetsch +3
Avoiding collisions with vulnerable road users (VRUs) using sensor-based early recognition of critical situations is one of the manifold opportunities provided by the current devel…
Highly Automated Learning for Improved Active Safety of Vulnerable Road Users
Maarten Bieshaar, Günther Reitberger, Viktor Kreß +4
Highly automated driving requires precise models of traffic participants. Many state of the art models are currently based on machine learning techniques. Among others, the require…
Early Start Intention Detection of Cyclists Using Motion History Images and a Deep Residual Network
Stefan Zernetsch, Viktor Kress, Bernhard Sick +1
In this article, we present a novel approach to detect starting motions of cyclists in real world traffic scenarios based on Motion History Images (MHIs). The method uses a deep Co…
Cooperative Starting Movement Detection of Cyclists Using Convolutional Neural Networks and a Boosted Stacking Ensemble
Maarten Bieshaar, Stefan Zernetsch, Andreas Hubert +2
In future, vehicles and other traffic participants will be interconnected and equipped with various types of sensors, allowing for cooperation on different levels, such as situatio…