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ORCIDJohann Marius Zöllner
J. Marius Zöllner – J. Marius Zoellner – Marius Zöllner 0001
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- affiliation: FZI Research Center for Information Technology, Karlsruhe, Germany
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2020 – today
- 2023
[i56]Daniel Bogdoll, Jonas Hendl, Felix Schreyer, Nishanth Gowda, Michael Färber, J. Marius Zöllner:
Impact, Attention, Influence: Early Assessment of Autonomous Driving Datasets. CoRR abs/2301.02200 (2023)- [i55]Daniel Grimm, Philip Schörner, Moritz Dreßler, Johann Marius Zöllner:
Holistic Graph-based Motion Prediction. CoRR abs/2301.13545 (2023) - 2022
- [j9]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): 2962-2979 (2022) - [c191]Larissa T. Triess, Andre Bühler, David Peter, Fabian B. Flohr, Marius Zöllner:
Point Cloud Generation with Continuous Conditioning. AISTATS 2022: 4462-4481 - [c190]Svetlana Pavlitskaya, Siyar Yikmis, J. Marius Zöllner:
Is Neuron Coverage Needed to Make Person Detection More Robust? CVPR Workshops 2022: 2888-2896 - [c189]Daniel Bogdoll, Maximilian Nitsche, J. Marius Zöllner:
Anomaly Detection in Autonomous Driving: A Survey. CVPR Workshops 2022: 4487-4498 - [c188]Svetlana Pavlitskaya, Bianca-Marina Codau, J. Marius Zöllner:
Feasibility of Inconspicuous GAN-generated Adversarial Patches against Object Detection. AISafety@IJCAI 2022 - [c187]Tobias Fleck, Lennart Jauernig, Rupert Polley, Philip Schörner, Marc René Zofka, J. Marius Zöllner:
Infra2Go: A Mobile Development Platform for Connected, Cooperative and Autonomous Driving. ITSC 2022: 1629-1636 - [c186]Maximilian Zipfl, J. Marius Zöllner:
Towards Traffic Scene Description: The Semantic Scene Graph. ITSC 2022: 3748-3755 - [c185]Philipp Stegmaier, Karl Kurzer, J. Marius Zöllner:
Cooperative Trajectory Planning in Uncertain Environments With Monte Carlo Tree Search and Risk Metrics. ITSC 2022: 4109-4116 - [c184]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: 22-28 - [c183]Faris Janjos, Maxim Dolgov, J. Marius Zöllner:
StarNet: Joint Action-Space Prediction with Star Graphs and Implicit Global-Frame Self-Attention. IV 2022: 280-286 - [c182]Daniel Bogdoll, Moritz Nekolla, Tim Joseph, J. Marius Zöllner:
Quantification of Actual Road User Behavior on the Basis of Given Traffic Rules. IV 2022: 1093-1098 - [c181]Marc René Zofka, Tobias Fleck, J. Marius Zöllner:
A Unified Description of Proving Grounds and Test Areas for Automated and Connected Vehicles. IV 2022: 1430-1437 - [c180]Faris Janjos, Maxim Dolgov, Muhamed Kuric, Yinzhe Shen, J. Marius Zöllner:
SAN: Scene Anchor Networks for Joint Action-Space Prediction. IV 2022: 1751-1756 - [c179]Daniel Bogdoll, Enrico Eisen, Maximilian Nitsche, Christin Scheib, J. Marius Zöllner:
Multimodal Detection of Unknown Objects on Roads for Autonomous Driving. SMC 2022: 325-332 - [c178]Daniel Bogdoll, Felix Schreyer, J. Marius Zöllner:
Ad-datasets: A Meta-collection of Data Sets for Autonomous Driving. VEHITS 2022: 46-56 - [c177]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: 338-345 - [i54]Daniel Bogdoll, Felix Schreyer, J. Marius Zöllner:
Ad-datasets: a meta-collection of data sets for autonomous driving. CoRR abs/2202.01909 (2022) - [i53]Karl Kurzer, Matthias Bitzer, J. Marius Zöllner:
Learning Reward Models for Cooperative Trajectory Planning with Inverse Reinforcement Learning and Monte Carlo Tree Search. CoRR abs/2202.06443 (2022) - [i52]Larissa T. Triess, Andre Bühler, David Peter, Fabian B. Flohr, J. Marius Zöllner:
Point Cloud Generation with Continuous Conditioning. CoRR abs/2202.08526 (2022) - [i51]Daniel Bogdoll, Moritz Nekolla, Tim Joseph, J. Marius Zöllner:
Quantification of Actual Road User Behavior on the Basis of Given Traffic Rules. CoRR abs/2202.09269 (2022) - [i50]Philipp Stegmaier, Karl Kurzer, J. Marius Zöllner:
Cooperative Trajectory Planning in Uncertain Environments with Monte Carlo Tree Search and Risk Metrics. CoRR abs/2203.04452 (2022) - [i49]Daniel Bogdoll, Maximilian Nitsche, J. Marius Zöllner:
Anomaly Detection in Autonomous Driving: A Survey. CoRR abs/2204.07974 (2022) - [i48]Svetlana Pavlitskaya, Siyar Yikmis, J. Marius Zöllner:
Is Neuron Coverage Needed to Make Person Detection More Robust? CoRR abs/2204.10027 (2022) - [i47]Svetlana Pavlitskaya, Christian Hubschneider, Lukas Struppek, J. Marius Zöllner:
Balancing Expert Utilization in Mixture-of-Experts Layers Embedded in CNNs. CoRR abs/2204.10598 (2022) - [i46]Daniel Bogdoll, Enrico Eisen, Maximilian Nitsche, Christin Scheib, J. Marius Zöllner:
Multimodal Detection of Unknown Objects on Roads for Autonomous Driving. CoRR abs/2205.01414 (2022) - [i45]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 abs/2205.08202 (2022) - [i44]Daniel Bogdoll, Meng Zhang, Maximilian Nitsche, J. Marius Zöllner:
Experiments on Anomaly Detection in Autonomous Driving by Forward-Backward Style Transfers. CoRR abs/2207.06055 (2022) - [i43]Daniel Bogdoll, Jonas Rauch, J. Marius Zöllner:
DLCSS: Dynamic Longest Common Subsequences. CoRR abs/2207.06061 (2022) - [i42]Svetlana Pavlitskaya, Bianca-Marina Codau, J. Marius Zöllner:
Feasibility of Inconspicuous GAN-generated Adversarial Patches against Object Detection. CoRR abs/2207.07347 (2022) - [i41]Svetlana Pavlitskaya, Nikolai Polley, Michael Weber, J. Marius Zöllner:
Adversarial Vulnerability of Temporal Feature Networks for Object Detection. CoRR abs/2208.10773 (2022) - [i40]Larissa T. Triess, Christoph B. Rist, David Peter, J. Marius Zöllner:
A Realism Metric for Generated LiDAR Point Clouds. CoRR abs/2208.14958 (2022) - [i39]Daniel Bogdoll, Stefani Guneshka, J. Marius Zöllner:
One Ontology to Rule Them All: Corner Case Scenarios for Autonomous Driving. CoRR abs/2209.00342 (2022) - [i38]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 abs/2209.13353 (2022) - [i37]Svetlana Pavlitskaya, Joël Oswald, J. Marius Zöllner:
Measuring Overfitting in Convolutional Neural Networks using Adversarial Perturbations and Label Noise. CoRR abs/2209.13382 (2022) - [i36]Karam Daaboul, Joel Ikels, J. Marius Zöllner:
Robotic Control Using Model Based Meta Adaption. CoRR abs/2210.03539 (2022) - [i35]Marc Uecker, Tobias Fleck, Marcel Pflugfelder, J. Marius Zöllner:
Analyzing Deep Learning Representations of Point Clouds for Real-Time In-Vehicle LiDAR Perception. CoRR abs/2210.14612 (2022) - [i34]Abhishek Vivekanandan, Niels Maier, J. Marius Zoellner:
Plausibility Verification For 3D Object Detectors Using Energy-Based Optimization. CoRR abs/2211.05233 (2022) - [i33]Maximilian Zipfl, Barbara Schütt, J. Marius Zöllner, Eric Sax:
Fingerprint of a Traffic Scene: an Approach for a Generic and Independent Scene Assessment. CoRR abs/2211.13683 (2022) - [i32]Maximilian Zipfl, Moritz Jarosch, J. Marius Zöllner:
Self Supervised Clustering of Traffic Scenes using Graph Representations. CoRR abs/2211.15508 (2022) - 2021
- [c176]Mathis Brosowsky, Florian Keck, Olaf Dünkel, Marius Zöllner:
Sample-Specific Output Constraints for Neural Networks. AAAI 2021: 6812-6821 - [c175]Larissa T. Triess, David Peter, Stefan A. Baur, J. Marius Zöllner:
Quantifying Point Cloud Realism Through Adversarially Learned Latent Representations. GCPR 2021: 681-696 - [c174]Johannes Buyer, Dominic Waldenmayer, Raoul Zöllner, J. Marius Zöllner:
Data-Driven Merging of Car-Following Models for Interaction-Aware Vehicle Speed Prediction. FUSION 2021: 1-8 - [c173]Tobias Fleck, J. Marius Zoellner:
Tuning Multi Object Tracking Systems using Bayesian Optimization. FUSION 2021: 1-8 - [c172]Daniel Bogdoll, Jasmin Breitenstein, Florian Heidecker, Maarten Bieshaar, Bernhard Sick, Tim Fingscheidt, J. Marius Zöllner:
Description of Corner Cases in Automated Driving: Goals and Challenges. ICCVW 2021: 1023-1028 - [c171]Moritz A. Zanger, Karam Daaboul, J. Marius Zöllner:
Safe Continuous Control with Constrained Model-Based Policy Optimization. IROS 2021: 3512-3519 - [c170]Hannes Reichert, Lukas Lang, Kevin Rösch, Daniel Bogdoll, Konrad Doll, Bernhard Sick, Hans-Christian Reuss, Christoph Stiller, J. Marius Zöllner:
Towards Sensor Data Abstraction of Autonomous Vehicle Perception Systems. ISC2 2021: 1-4 - [c169]Atanas Tanev, Svetlana Pavlitskaya, Joan Sigloch, Arne Roennau, Rüdiger Dillmann, J. Marius Zöllner:
Adversarial Black-Box Attacks on Vision-based Deep Reinforcement Learning Agents. ISR 2021: 177-181 - [c168]Philip Schörner, Marcus Conzelmann, Tobias Fleck, Marc René Zofka, J. Marius Zöllner:
Park my Car! Automated Valet Parking with Different Vehicle Automation Levels by V2X Connected Smart Infrastructure. ITSC 2021: 836-843 - [c167]Philip Schörner, Tobias Fleck, J. Marius Zöllner:
What if? Behavior Estimation by Predicting Traffic Scenes from State Histories. ITSC 2021: 2237-2244 - [c166]Simon T. Isele, Fabian Haas-Fickinger, J. Marius Zöllner:
SERALOC: SLAM on semantically annotated radar point-clouds. ITSC 2021: 2917-2924 - [c165]Christian Hubschneider, Marius Birkenbach, J. Marius Zöllner:
Unsupervised Domain Adaptation via Shared Content Representation for Semantic Segmentation. ITSC 2021: 3102-3109 - [c164]Stefan Jesenski, Nils Tiemann, Wolfgang Branz, J. Marius Zöllner:
Creation of Critical Traffic Scenes for Usage with Importance Sampling. ITSC 2021: 3162-3169 - [c163]Faris Janjos, Maxim Dolgov, J. Marius Zöllner:
Self-Supervised Action-Space Prediction for Automated Driving. IV 2021: 200-207 - [c162]Larissa T. Triess, Mariella Dreissig, Christoph B. Rist, J. Marius Zöllner:
A Survey on Deep Domain Adaptation for LiDAR Perception. IV Workshops 2021: 350-357 - [c161]Mathis Brosowsky, Florian Keck, Jakob Ketterer, Simon T. Isele, Daniel Slieter, Johann Marius Zöllner:
Safe Deep Reinforcement Learning for Adaptive Cruise Control by Imposing State-Specific Safe Sets. IV 2021: 488-495 - [c160]Simon T. Isele, Fabian E. Klein, Mathis Brosowsky, J. Marius Zöllner:
Learning Semantics on Radar Point-Clouds. IV 2021: 810-817 - [c159]Karl Kurzer, Philip Schörner, Alexander Albers, Hauke Thomsen, Karam Daaboul, J. Marius Zöllner:
Generalizing Decision Making for Automated Driving with an Invariant Environment Representation using Deep Reinforcement Learning. IV 2021: 994-1000 - [c158]Michael Weber, Tassilo Wald, J. Marius Zöllner:
Temporal Feature Networks for CNN based Object Detection. IV 2021: 1478-1484 - [c157]Mathis Brosowsky, Paul Orschau, Olaf Dünkel, Philip Elspas, Daniel Slieter, Marius Zöllner:
Joint Vehicle Trajectory and Cut-In Prediction on Highways using Output Constrained Neural Networks. SSCI 2021: 1-9 - [c156]Simon T. Isele, Marcel P. Schilling, Fabian E. Klein, Sascha Saralajew, J. Marius Zoellner:
Radar Artifact Labeling Framework (RALF): Method for Plausible Radar Detections in Datasets. VEHITS 2021: 22-33 - [i31]Karl Kurzer, Philip Schörner, Alexander Albers, Hauke Thomsen, Karam Daaboul, J. Marius Zöllner:
Generalizing Decision Making for Automated Driving with an Invariant Environment Representation using Deep Reinforcement Learning. CoRR abs/2102.06765 (2021) - [i30]Michael Weber, Tassilo Wald, J. Marius Zöllner:
Temporal Feature Networks for CNN based Object Detection. CoRR abs/2103.12213 (2021) - [i29]Moritz A. Zanger, Karam Daaboul, J. Marius Zöllner:
Safe Continuous Control with Constrained Model-Based Policy Optimization. CoRR abs/2104.06922 (2021) - [i28]Lars Töttel, Maximilian Zipfl, Daniel Bogdoll, Marc René Zofka, J. Marius Zöllner:
Reliving the Dataset: Combining the Visualization of Road Users' Interactions with Scenario Reconstruction in Virtual Reality. CoRR abs/2105.01610 (2021) - [i27]Hannes Reichert, Lukas Lang, Kevin Rösch, Daniel Bogdoll, Konrad Doll, Bernhard Sick, Hans-Christian Reuss, Christoph Stiller, J. Marius Zöllner:
Towards Sensor Data Abstraction of Autonomous Vehicle Perception Systems. CoRR abs/2105.06896 (2021) - [i26]Larissa T. Triess, Mariella Dreissig, Christoph B. Rist, J. Marius Zöllner:
A Survey on Deep Domain Adaptation for LiDAR Perception. CoRR abs/2106.02377 (2021) - [i25]Daniel Bogdoll, Stefan Orf, Lars Töttel, J. Marius Zöllner:
Taxonomy and Survey on Remote Human Input Systems for Driving Automation Systems. CoRR abs/2109.08599 (2021) - [i24]Daniel Bogdoll, Jasmin Breitenstein, Florian Heidecker, Maarten Bieshaar, Bernhard Sick, Tim Fingscheidt, J. Marius Zöllner:
Description of Corner Cases in Automated Driving: Goals and Challenges. CoRR abs/2109.09607 (2021) - [i23]Faris Janjos, Maxim Dolgov, J. Marius Zöllner:
Self-Supervised Action-Space Prediction for Automated Driving. CoRR abs/2109.10024 (2021) - [i22]Larissa T. Triess, David Peter, Stefan A. Baur, J. Marius Zöllner:
Quantifying point cloud realism through adversarially learned latent representations. CoRR abs/2109.11775 (2021) - [i21]Sidney Bender, Tim Joseph, J. Marius Zöllner:
Cycle-Consistent World Models for Domain Independent Latent Imagination. CoRR abs/2110.00808 (2021) - [i20]Daniel Bogdoll, Johannes Jestram, Jonas Rauch, Christin Scheib, Moritz Wittig, J. Marius Zöllner:
Compressing Sensor Data for Remote Assistance of Autonomous Vehicles using Deep Generative Models. CoRR abs/2111.03201 (2021) - [i19]Maximilian Zipfl, J. Marius Zöllner:
Towards Traffic Scene Description: The Semantic Scene Graph. CoRR abs/2111.10196 (2021) - [i18]Faris Janjos, Maxim Dolgov, J. Marius Zöllner:
StarNet: Joint Action-Space Prediction with Star Graphs and Implicit Global Frame Self-Attention. CoRR abs/2111.13566 (2021) - [i17]Larissa T. Triess, David Peter, J. Marius Zöllner:
Semi-Local Convolutions for LiDAR Scan Processing. CoRR abs/2111.15615 (2021) - 2020
- [c155]Svetlana Pavlitskaya, Christian Hubschneider, Michael Weber, Ruby Moritz, Fabian Hüger, Peter Schlicht, J. Marius Zöllner:
Using Mixture of Expert Models to Gain Insights into Semantic Segmentation. CVPR Workshops 2020: 1399-1406 - [c154]Christian Hubschneider, Simon Roesler, J. Marius Zöllner:
Unsupervised Evaluation of Lidar Domain Adaptation. ITSC 2020: 1-6 - [c153]Stefan Jesenski, Jakob Rothert, Nils Tiemann, J. Marius Zöllner:
Using Sum-Product Networks for the Generation of Vehicle Populations On Highway Sections. ITSC 2020: 1-7 - [c152]Stefan Jesenski, Nils Tiemann, Jan Erik Stellet, J. Marius Zöllner:
Scalable Generation of Statistical Evidence for the Safety of Automated Vehicles by the Use of Importance Sampling. ITSC 2020: 1-8 - [c151]Svetlana Pavlitskaya, Sefa Ünver, J. Marius Zöllner:
Feasibility and Suppression of Adversarial Patch Attacks on End-to-End Vehicle Control. ITSC 2020: 1-8 - [c150]Maximilian Zipfl, Tobias Fleck, Marc René Zofka, J. Marius Zöllner:
From Traffic Sensor Data To Semantic Traffic Descriptions: The Test Area Autonomous Driving Baden-Württemberg Dataset (TAF-BW Dataset). ITSC 2020: 1-7 - [c149]Michael Weber, Christof Wendenius, J. Marius Zöllner:
Runtime Optimization of a CNN Model for Environment Perception. IV 2020: 272-277 - [c148]Larissa T. Triess, David Peter, Christoph B. Rist, J. Marius Zöllner:
Scan-based Semantic Segmentation of LiDAR Point Clouds: An Experimental Study. IV 2020: 1116-1121 - [c147]Tobias Fleck, Sven Ochs, Marc René Zofka, J. Marius Zöllner:
Robust Tracking of Reference Trajectories for Autonomous Driving in Intelligent Roadside Infrastructure. IV 2020: 1337-1342 - [c146]Michael Weber, Michael Fürst, J. Marius Zöllner:
Automated Focal Loss for Image based Object Detection. IV 2020: 1423-1429 - [c145]Karl Kurzer, Marcus Fechner, J. Marius Zöllner:
Accelerating Cooperative Planning for Automated Vehicles with Learned Heuristics and Monte Carlo Tree Search. IV 2020: 1726-1733 - [c144]Philip Schörner, Mark Timon Hüneberg, J. Marius Zöllner:
Optimization of Sampling-Based Motion Planning in Dynamic Environments Using Neural Networks. IV 2020: 2110-2117 - [c143]Stefan Orf, Marc René Zofka, J. Marius Zöllner:
From Level Four to Five: Getting rid of the Safety Driver with Diagnostics in Autonomous Driving. MFI 2020: 19-25 - [c142]Marc René Zofka, Lars Töttel, Maximilian Zipfl, Marc Heinrich, Tobias Fleck, Patrick Schulz, J. Marius Zöllner:
Pushing ROS towards the Dark Side: A ROS-based Co-Simulation Architecture for Mixed-Reality Test Systems for Autonomous Vehicles. MFI 2020: 204-211 - [i16]Karl Kurzer, Marcus Fechner, J. Marius Zöllner:
Accelerating Cooperative Planning for Automated Vehicles with Learned Heuristics and Monte Carlo Tree Search. CoRR abs/2002.00497 (2020) - [i15]Mathis Brosowsky, Olaf Dünkel, Daniel Slieter, Marius Zöllner:
Sample-Specific Output Constraints for Neural Networks. CoRR abs/2003.10258 (2020) - [i14]Karl Kurzer, Christoph Hörtnagl, J. Marius Zöllner:
Parallelization of Monte Carlo Tree Search in Continuous Domains. CoRR abs/2003.13741 (2020) - [i13]Larissa T. Triess, David Peter, Christoph B. Rist, J. Marius Zöllner:
Scan-based Semantic Segmentation of LiDAR Point Clouds: An Experimental Study. CoRR abs/2004.11803 (2020) - [i12]Simon T. Isele, Marcel P. Schilling, Fabian E. Klein, Sascha Saralajew, J. Marius Zoellner:
Radar Artifact Labeling Framework (RALF): Method for Plausible Radar Detections in Datasets. CoRR abs/2012.01993 (2020)
2010 – 2019
- 2019
- [j8]Ming Gao, J. Marius Zöllner:
Sparse Contextual Task Learning and Classification to Assist Mobile Robot Teleoperation with Introspective Estimation. J. Intell. Robotic Syst. 93(3-4): 571-585 (2019) - [j7]Holger Banzhaf, Paul Sanzenbacher, Ulrich Baumann, J. Marius Zöllner:
Learning to Predict Ego-Vehicle Poses for Sampling-Based Nonholonomic Motion Planning. IEEE Robotics Autom. Lett. 4(2): 1053-1060 (2019) - [c141]Michael Weber, Lucas Volkert, Christian Hubschneider, J. Marius Zöllner:
CNN based Multi-View Object Detection and Association. ITSC 2019: 73-78 - [c140]Philip Schörner, Jens Doll, Maximilian Galm, J. Marius Zöllner:
Trajectory Planning for a Pseudo Omnidirectional Vehicle using Particle Swarm Optimization. ITSC 2019: 1454-1461 - [c139]Christian Hubschneider, Robin Hutmacher, J. Marius Zöllner:
Calibrating Uncertainty Models for Steering Angle Estimation. ITSC 2019: 1511-1518 - [c138]Stefan Jesenski, Jan Erik Stellet, Wolfgang Branz, J. Marius Zöllner:
Simulation-Based Methods for Validation of Automated Driving: A Model-Based Analysis and an Overview about Methods for Implementation. ITSC 2019: 1914-1921 - [c137]Florian Piewak, Peter Pinggera, Marius Zöllner:
Analyzing the Cross-Sensor Portability of Neural Network Architectures for LiDAR-based Semantic Labeling. ITSC 2019: 3419-3426 - [c136]Johannes Buyer, Dominic Waldenmayer, Nico Sußmann, Raoul Zöllner, J. Marius Zöllner:
Interaction-Aware Approach for Online Parameter Estimation of a Multi-lane Intelligent Driver Model. ITSC 2019: 3967-3973 - [c135]Philip Schörner, Christian Hubschneider, Jonathan Härtl, Rupert Polley, J. Marius Zöllner:
Grid-Based Micro Traffic Prediction using Fully Convolutional Networks. ITSC 2019: 4540-4547 - [c134]Michael Weber, Michael Fürst, J. Marius Zöllner:
Direct 3D Detection of Vehicles in Monocular Images with a CNN based 3D Decoder. IV 2019: 417-423 - [c133]Stefan Jesenski, Jan Erik Stellet, Florian A. Schiegg, J. Marius Zöllner:
Generation of Scenes in Intersections for the Validation of Highly Automated Driving Functions. IV 2019: 502-509 - [c132]Philipp Rosenberger, Martin Holder, Sebastian Hueh, Hermann Winner, Tobias Fleck, Marc René Zofka, J. Marius Zöllner, Thomas Dhondt, Benjamin Wassermann:
Benchmarking and Functional Decomposition of Automotive Lidar Sensor Models. IV 2019: 632-639 - [c131]Nils Gählert, Jun-Jun Wan, Michael Weber, J. Marius Zöllner, Uwe Franke, Joachim Denzler:
Beyond Bounding Boxes: Using Bounding Shapes for Real-Time 3D Vehicle Detection from Monocular RGB Images. IV 2019: 675-682 - [c130]Larissa T. Triess, David Peter, Christoph B. Rist, Markus Enzweiler, J. Marius Zöllner:
CNN-based synthesis of realistic high-resolution LiDAR data. IV 2019: 1512-1519 - [c129]Philip Schörner, Lars Töttel, Jens Doll, J. Marius Zöllner:
Predictive Trajectory Planning in Situations with Hidden Road Users Using Partially Observable Markov Decision Processes. IV 2019: 2299-2306 - [i11]Michael Weber, Michael Fürst, J. Marius Zöllner:
Automated Focal Loss for Image based Object Detection. CoRR abs/1904.09048 (2019) - [i10]Larissa T. Triess, David Peter, Christoph B. Rist, Markus Enzweiler, J. Marius Zöllner:
CNN-based synthesis of realistic high-resolution LiDAR data. CoRR abs/1907.00787 (2019) - [i9]Florian Piewak, Peter Pinggera, J. Marius Zöllner:
Analyzing the Cross-Sensor Portability of Neural Network Architectures for LiDAR-based Semantic Labeling. CoRR abs/1907.02149 (2019) - 2018
- [j6]Ömer Sahin Tas, Niels Ole Salscheider, Fabian Poggenhans, Sascha Wirges, Claudio Bandera, Marc Rene Zofka, Tobias Strauss, Johann Marius Zöllner, Christoph Stiller:
Making Bertha Cooperate-Team AnnieWAY's Entry to the 2016 Grand Cooperative Driving Challenge. IEEE Trans. Intell. Transp. Syst. 19(4): 1262-1276 (2018) - [c128]Florian Piewak, Peter Pinggera, Markus Enzweiler, David Pfeiffer