J. Marius Zöllner

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 202

Top Venues

CoRR

ITSC

Intelligent Vehicles Symposium

Publications

Daniel Bogdoll, Jan Imhof, Tim Joseph, J. Marius Zöllner
Hybrid Video Anomaly Detection for Anomalous Scenarios in Autonomous Driving. CoRR (2024)
Marc Uecker, J. Marius Zöllner
Can you see me now? Blind spot estimation for autonomous vehicles using scenario-based simulation with random reference sensors. CoRR (2024)
Daniel Bogdoll, Jing Qin, Moritz Nekolla, Ahmed Abouelazm, Tim Joseph, J. Marius Zöllner
Informed Reinforcement Learning for Situation-Aware Traffic Rule Exceptions. ICRA (2024)
Svetlana Pavlitska, Oliver Bagge, Federico Nicolás Peccia, Toghrul Mammadov, J. Marius Zöllner
Iterative Filter Pruning for Concatenation-based CNN Architectures. CoRR (2024)
Marc Heinrich, Maximilian Zipfl, Marc Uecker, Sven Ochs, Martin Gontscharow, Tobias Fleck, Jens Doll, Philip Schörner, Christian Hubschneider, Marc René Zofka, Alexander Viehl, J. Marius Zöllner
CoCar NextGen: a Multi-Purpose Platform for Connected Autonomous Driving Research. CoRR (2024)
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)
Marc Uecker, J. Marius Zöllner
Can You See Me Now? Blind Spot Estimation for Autonomous Vehicles using Scenario-Based Simulation with Random Reference Sensors. IV (2024)
Ahmed Abouelazm, Jonas Michel, J. Marius Zöllner
A Review of Reward Functions for Reinforcement Learning in the context of Autonomous Driving. IV (2024)
Daniel Bogdoll, Finn Sartoris, Vincent Geppert, Svetlana Pavlitska, J. Marius Zöllner
Complementary Learning for Real-World Model Failure Detection. CoRR (2024)
Melih Yazgan, Mythra Varun Akkanapragada, J. Marius Zöllner
Collaborative Perception Datasets in Autonomous Driving: A Survey. IV (2024)
Melih Yazgan, Thomas Graf, Min Liu, Tobias Fleck, J. Marius Zöllner
A Survey on Intermediate Fusion Methods for Collaborative Perception Categorized by Real World Challenges. IV (2024)
Niklas Wagner, Felix Mätzler, Samed R. Vossberg, Helen Schneider, Svetlana Pavlitska, J. Marius Zöllner
CAGE: Circumplex Affect Guided Expression Inference. CoRR (2024)
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 (2024)
Abhishek Vivekanandan, Ahmed Abouelazm, Philip Schörner, J. Marius Zöllner
KI-PMF: Knowledge Integrated Plausible Motion Forecasting. IV (2024)
Sven Ochs, Jens Doll, Marc Heinrich, Philip Schörner, Sebastian Klemm, Marc René Zofka, J. Marius Zöllner
Leveraging Swarm Intelligence to Drive Autonomously: A Particle Swarm Optimization based Approach to Motion Planning. CoRR (2024)
Daniel Bogdoll, Jing Qin, Moritz Nekolla, Ahmed Abouelazm, Tim Joseph, J. Marius Zöllner
Informed Reinforcement Learning for Situation-Aware Traffic Rule Exceptions. CoRR (2024)
Maximilian Zipfl, Barbara Schütt, J. Marius Zöllner
Scene-Extrapolation: Generating Interactive Traffic Scenarios. CoRR (2024)
Sven Ochs, Nico Lambing, Ahmed Abouelazm, Marc René Zofka, J. Marius Zöllner
Last Mile Delivery with Autonomous Shuttles: ROS-based Integration of Smart Cargo Cages. IV (2024)
Maximilian Zipfl, Barbara Schütt, J. Marius Zöllner
Scene-Extrapolation: Generating Interactive Traffic Scenarios. IV (2024)
Abhishek Vivekanandan, J. Marius Zöllner
Scene-Specific Trajectory Sets: Maximizing Representation in Motion Forecasting. CoRR (2024)
Daniel Bogdoll, Noël Ollick, Tim Joseph, J. Marius Zöllner
UMAD: Unsupervised Mask-Level Anomaly Detection for Autonomous Driving. CoRR (2024)
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 (2024)
Daniel Bogdoll, Svetlana Pavlitska, Simon Klaus, J. Marius Zöllner
Conditioning Latent-Space Clusters for Real-World Anomaly Classification. CoRR (2023)
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)
Maximilian Zipfl, Nina Koch, J. Marius Zöllner
A Comprehensive Review on Ontologies for Scenario-based Testing in the Context of Autonomous Driving. IV (2023)
Karam Daaboul, Joel Ikels, J. Marius Zöllner
Robotic Control Using Model Based Meta Adaption. ICRA (2023)
Abhishek Vivekanandan, Ahmed Abouelazm, Philip Schörner, J. Marius Zöllner
KI-PMF: Knowledge Integrated Plausible Motion Forecasting. CoRR (2023)
Svetlana Pavlitska, Nico Lambing, J. Marius Zöllner
Adversarial Attacks on Traffic Sign Recognition: A Survey. CoRR (2023)
Maximilian Zipfl, Moritz Jarosch, J. Marius Zöllner
Traffic Scene Similarity: a Graph-based Contrastive Learning Approach. CoRR (2023)
Barbara Schütt, Maximilian Zipfl, J. Marius Zöllner, Eric Sax
Inverse Universal Traffic Quality - a Criticality Metric for Crowded Urban Traffic Scenes. IV (2023)
Daniel Grimm, Maximilian Zipfl, Felix Hertlein, Alexander Naumann, Juergen Luettin, Steffen Thoma, Stefan Schmid, Lavdim Halilaj, Achim Rettinger, J. Marius Zöllner
Heterogeneous Graph-based Trajectory Prediction using Local Map Context and Social Interactions. ITSC (2023)
Daniel Bogdoll, Svenja Uhlemeyer, Kamil Kowol, J. Marius Zöllner
Perception Datasets for Anomaly Detection in Autonomous Driving: A Survey. IV (2023)
Svetlana Pavlitska, Nico Lambing, Ashok Kumar Bangaru, J. Marius Zöllner
Traffic Light Recognition using Convolutional Neural Networks: A Survey. CoRR (2023)
Sven Ochs, Tolgahan Percin, Christian Samuelis, Philip Schörner, Marc René Zofka, J. Marius Zöllner
What can we Learn from Virtual Sensor Models for Self Localization and Mapping for Autonomous Mobile Systems? ITSC (2023)
Barbara Schütt, Maximilian Zipfl, J. Marius Zöllner, Eric Sax
Inverse Universal Traffic Quality - a Criticality Metric for Crowded Urban Traffic Scenes. CoRR (2023)
Faris Janjos, Max Keller, Maxim Dolgov, J. Marius Zöllner
Bridging the Gap Between Multi-Step and One-Shot Trajectory Prediction via Self-Supervision. IV (2023)
Maximilian Zipfl, Sven Spickermann, J. Marius Zöllner
Utilizing Hybrid Trajectory Prediction Models to Recognize Highly Interactive Traffic Scenarios. ITSC (2023)
Faris Janjos, Marcel Hallgarten, Anthony Knittel, Maxim Dolgov, Andreas Zell, J. Marius Zöllner
Conditional Unscented Autoencoders for Trajectory Prediction. CoRR (2023)
Maximilian Zipfl, Moritz Jarosch, J. Marius Zöllner
Traffic Scene Similarity: a Graph-based Contrastive Learning Approach. SSCI (2023)
Marc René Zofka, Tobias Fleck, Philip Schörner, Marc Heinrich, J. Marius Zöllner
Paving the Ways for Vehicles-in-the-loop: Wireless Integration of Autonomous Vehicles into Mixed Reality Proving Grounds and Test Areas. ITSC (2023)
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)
Daniel Bogdoll, Svenja Uhlemeyer, Kamil Kowol, J. Marius Zöllner
Perception Datasets for Anomaly Detection in Autonomous Driving: A Survey. CoRR (2023)
Maximilian Zipfl, Sven Spickermann, J. Marius Zöllner
Utilizing Hybrid Trajectory Prediction Models to Recognize Highly Interactive Traffic Scenarios. CoRR (2023)
Daniel Bogdoll, Yitian Yang, J. Marius Zöllner
MUVO: A Multimodal Generative World Model for Autonomous Driving with Geometric Representations. CoRR (2023)
Faris Janjos, Lars Rosenbaum, Maxim Dolgov, J. Marius Zöllner
Unscented Autoencoder. CoRR (2023)
Faris Janjos, Max Keller, Maxim Dolgov, J. Marius Zöllner
Bridging the Gap Between Multi-Step and One-Shot Trajectory Prediction via Self-Supervision. CoRR (2023)
Daniel Grimm, Maximilian Zipfl, Felix Hertlein, Alexander Naumann, Jürgen Lüttin, Steffen Thoma, Stefan Schmid, Lavdim Halilaj, Achim Rettinger, J. Marius Zöllner
Heterogeneous Graph-based Trajectory Prediction using Local Map Context and Social Interactions. CoRR (2023)
Tobias Fleck, Svetlana Pavlitska, Sven Nitzsche, Brian Pachideh, Federico Nicolás Peccia, Soikat Hasan Ahmed, Svea Marie Meyer, Mathis Richter, Kevin Broertjes, Emre Neftci, Jürgen Becker, Oliver Bringmann, J. Marius Zöllner
Low-Power Traffic Surveillance using Multiple RGB and Event Cameras: A Survey. ISC2 (2023)
Helen Gremmelmaier, Lukas Hierzegger, Mohammed Sohail M, J. Marius Zöllner
Cyclist behavior: a survey on characteristics and trajectory modeling. ITSC (2023)
Maximilian Zipfl, Nina Koch, J. Marius Zöllner
A Comprehensive Review on Ontologies for Scenario-based Testing in the Context of Autonomous Driving. CoRR (2023)
Martin Gontscharow, Albert Schotschneider, Stefan Orf, Tobias Fleck, Marc René Zofka, J. Marius Zöllner
Survey and Design Concept for Control Centers of Automated Vehicle Fleets. ITSC (2023)
Daniel Bogdoll, Svetlana Pavlitska, Simon Klaus, J. Marius Zöllner
Conditioning Latent-Space Clusters for Real-World Anomaly Classification. SSCI (2023)
Svetlana Pavlitska, Hannes Grolig, J. Marius Zöllner
Relationship between Model Compression and Adversarial Robustness: A Review of Current Evidence. CoRR (2023)
Svetlana Pavlitska, Nico Lambing, Ashok Kumar Bangaru, J. Marius Zöllner
Traffic Light Recognition using Convolutional Neural Networks: A Survey. ITSC (2023)
Svetlana Pavlitska, Christian Hubschneider, Lukas Struppek, J. Marius Zöllner
Sparsely-gated Mixture-of-Expert Layers for CNN Interpretability. IJCNN (2023)
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 (2023)
Daniel Bogdoll, Jonas Hendl, Felix Schreyer, Nishanth Gowda, Michael Färber, J. Marius Zöllner
Impact, Attention, Influence: Early Assessment of Autonomous Driving Datasets. CoRR (2023)
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 (2023)
Daniel Bogdoll, Louis Karsch, Jennifer Amritzer, J. Marius Zöllner
On The Impact of Replacing Private Cars with Autonomous Shuttles: An Agent-Based Approach. CoRR (2023)
Tobias Fleck, Maximilian Zipfl, J. Marius Zöllner
Semi-Automatic Ground Truth Trajectory Estimation and Smoothing using Roadside Cameras. ITSC (2023)
Daniel Bogdoll, Stefani Guneshka, J. Marius Zöllner
One Ontology to Rule Them All: Corner Case Scenarios for Autonomous Driving. CoRR (2022)
Barbara Schütt, Marc Heinrich, Sonja Marahrens, J. Marius Zöllner, Eric Sax
An Application of Scenario Exploration to Find New Scenarios for the Development and Testing of Automated Driving Systems in Urban Scenarios. CoRR (2022)
Maximilian Zipfl, Barbara Schütt, J. Marius Zöllner, Eric Sax
Fingerprint of a Traffic Scene: an Approach for a Generic and Independent Scene Assessment. CoRR (2022)
Daniel Bogdoll, Maximilian Nitsche, J. Marius Zöllner
Anomaly Detection in Autonomous Driving: A Survey. CoRR (2022)
Helen Gremmelmaier, Lars Töttel, Svetlana Pavlitskaya, Stefan Orf, Marc Rene Zofka, J. Marius Zöllner
Getting Ready for all Types of Users: A Virtual Reality Training Center for Automated Vehicles. SSCI (2022)
Abhishek Vivekanandan, Niels Maier, J. Marius Zöllner
Plausibility Verification for 3D Object Detectors Using Energy-Based Optimization. ECCV Workshops (1) (2022)
Faris Janjos, Maxim Dolgov, J. Marius Zöllner
StarNet: Joint Action-Space Prediction with Star Graphs and Implicit Global-Frame Self-Attention. IV (2022)
Philipp Stegmaier, Karl Kurzer, J. Marius Zöllner
Cooperative Trajectory Planning in Uncertain Environments With Monte Carlo Tree Search and Risk Metrics. ITSC (2022)
Daniel Bogdoll, Enrico Eisen, Maximilian Nitsche, Christin Scheib, J. Marius Zöllner
Multimodal Detection of Unknown Objects on Roads for Autonomous Driving. SMC (2022)
Daniel Bogdoll, Enrico Eisen, Maximilian Nitsche, Christin Scheib, J. Marius Zöllner
Multimodal Detection of Unknown Objects on Roads for Autonomous Driving. CoRR (2022)
Daniel Bogdoll, Felix Schreyer, J. Marius Zöllner
Ad-datasets: A Meta-collection of Data Sets for Autonomous Driving. VEHITS (2022)
Daniel Bogdoll, Stefani Guneshka, J. Marius Zöllner
One Ontology to Rule Them All: Corner Case Scenarios for Autonomous Driving. ECCV Workshops (5) (2022)
Marc René Zofka, Tobias Fleck, J. Marius Zöllner
A Unified Description of Proving Grounds and Test Areas for Automated and Connected Vehicles. IV (2022)
Svetlana Pavlitskaya, Christian Hubschneider, Lukas Struppek, J. Marius Zöllner
Balancing Expert Utilization in Mixture-of-Experts Layers Embedded in CNNs. CoRR (2022)
Daniel Bogdoll, Felix Schreyer, J. Marius Zöllner
Ad-datasets: a meta-collection of data sets for autonomous driving. CoRR (2022)
Svetlana Pavlitskaya, Joël Oswald, J. Marius Zöllner
Measuring Overfitting in Convolutional Neural Networks using Adversarial Perturbations and Label Noise. SSCI (2022)
Larissa T. Triess, Andre Bühler, David Peter, Fabian B. Flohr, J. Marius Zöllner
Point Cloud Generation with Continuous Conditioning. CoRR (2022)
Svetlana Pavlitskaya, Jonas Hendl, Sebastian Kleim, Leopold Müller, Fabian Wylczoch, J. Marius Zöllner
Suppress with a Patch: Revisiting Universal Adversarial Patch Attacks against Object Detection. CoRR (2022)
Karam Daaboul, Joel Ikels, J. Marius Zöllner
Robotic Control Using Model Based Meta Adaption. CoRR (2022)
Daniel Bogdoll, Moritz Nekolla, Tim Joseph, J. Marius Zöllner
Quantification of Actual Road User Behavior on the Basis of Given Traffic Rules. IV (2022)
Faris Janjos, Maxim Dolgov, Muhamed Kuric, Yinzhe Shen, J. Marius Zöllner
SAN: Scene Anchor Networks for Joint Action-Space Prediction. IV (2022)
Karl Kurzer, Matthias Bitzer, J. Marius Zöllner
Learning Reward Models for Cooperative Trajectory Planning with Inverse Reinforcement Learning and Monte Carlo Tree Search. CoRR (2022)
Barbara Schütt, Marc Heinrich, Sonja Marahrens, J. Marius Zöllner, Eric Sax
An Application of Scenario Exploration to Find New Scenarios for the Development and Testing of Automated Driving Systems in Urban Scenarios. VEHITS (2022)
Svetlana Pavlitskaya, Nikolai Polley, Michael Weber, J. Marius Zöllner
Adversarial Vulnerability of Temporal Feature Networks for Object Detection. ECCV Workshops (5) (2022)
Daniel Bogdoll, Meng Zhang, Maximilian Nitsche, J. Marius Zöllner
Experiments on Anomaly Detection in Autonomous Driving by Forward-Backward Style Transfers. CoRR (2022)
Svetlana Pavlitskaya, Joël Oswald, J. Marius Zöllner
Measuring Overfitting in Convolutional Neural Networks using Adversarial Perturbations and Label Noise. CoRR (2022)
Larissa T. Triess, Christoph B. Rist, David Peter, J. Marius Zöllner
A Realism Metric for Generated LiDAR Point Clouds. CoRR (2022)
Marc Uecker, Tobias Fleck, Marcel Pflugfelder, J. Marius Zöllner
Analyzing Deep Learning Representations of Point Clouds for Real-Time In-Vehicle LiDAR Perception. CoRR (2022)
Karl Kurzer, Matthias Bitzer, J. Marius Zöllner
Learning Reward Models for Cooperative Trajectory Planning with Inverse Reinforcement Learning and Monte Carlo Tree Search. IV (2022)
Svetlana Pavlitskaya, Bianca-Marina Codau, J. Marius Zöllner
Feasibility of Inconspicuous GAN-generated Adversarial Patches against Object Detection. CoRR (2022)
Svetlana Pavlitskaya, Nikolai Polley, Michael Weber, J. Marius Zöllner
Adversarial Vulnerability of Temporal Feature Networks for Object Detection. CoRR (2022)
Daniel Bogdoll, Moritz Nekolla, Tim Joseph, J. Marius Zöllner
Quantification of Actual Road User Behavior on the Basis of Given Traffic Rules. CoRR (2022)
Daniel Bogdoll, Jonas Rauch, J. Marius Zöllner
DLCSS: Dynamic Longest Common Subsequences. CoRR (2022)
Svetlana Pavlitskaya, Siyar Yikmis, J. Marius Zöllner
Is Neuron Coverage Needed to Make Person Detection More Robust? CVPR Workshops (2022)
Larissa T. Triess, Christoph B. Rist, David Peter, J. Marius Zöllner
A Realism Metric for Generated LiDAR Point Clouds. Int. J. Comput. Vis. 130 (12) (2022)
Maximilian Zipfl, J. Marius Zöllner
Towards Traffic Scene Description: The Semantic Scene Graph. ITSC (2022)
Svetlana Pavlitskaya, Siyar Yikmis, J. Marius Zöllner
Is Neuron Coverage Needed to Make Person Detection More Robust? CoRR (2022)
Sidney Bender, Tim Joseph, J. Marius Zöllner
Cycle-Consistent World Models for Domain Independent Latent Imagination. ECCV Workshops (5) (2022)
Daniel Bogdoll, Maximilian Nitsche, J. Marius Zöllner
Anomaly Detection in Autonomous Driving: A Survey. CVPR Workshops (2022)
Stefan Orf, Nico Lambing, Sven Ochs, Marc René Zofka, J. Marius Zöllner
Modeling Localization Uncertainty for Enhanced Robustness of Automated Vehicles. ICCP (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

J. Marius Zöllner