Tim Joseph

According to our database, Tim Joseph authored at least 15 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Automatic Curriculum Learning for Driving Scenarios: Towards Robust and Efficient Reinforcement Learning.

Ahmed Abouelazm, Tim Weinstein, Tim Joseph, Philip Schörner, J. Marius Zöllner

CoRR, May, 2025

Balancing Progress and Safety: A Novel Risk-Aware Objective for RL in Autonomous Driving.

Ahmed Abouelazm, Jonas Michel, Helen Gremmelmaier, Tim Joseph, Philip Schörner, J. Marius Zöllner

CoRR, May, 2025

2024

Constrained Meta Agnostic Reinforcement Learning.

Karam Daaboul, Florian Kuhm, Tim Joseph, J. Marius Zoellner

CoRR, 2024

Hybrid Video Anomaly Detection for Anomalous Scenarios in Autonomous Driving.

Daniel Bogdoll, Jan Imhof, Tim Joseph, J. Marius Zöllner

CoRR, 2024

UMAD: Unsupervised Mask-Level Anomaly Detection for Autonomous Driving.

Daniel Bogdoll, Noël Ollick, Tim Joseph, J. Marius Zöllner

CoRR, 2024

Dream to Drive: Learning Conditional Driving Policies in Imagination.

Tim Joseph, Marcus Fechner, Ahmed Abouelazm, J. Marius Zöllner

Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

Informed Reinforcement Learning for Situation-Aware Traffic Rule Exceptions.

Daniel Bogdoll, Jing Qin, Moritz Nekolla, Ahmed Abouelazm, Tim Joseph, J. Marius Zöllner

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

UMAD: Unsupervised Mask-Level Anomaly Detection for Autonomous Driving.

Daniel Bogdoll, Noël Ollick, Tim Joseph, Svetlana Pavlitska, J. Marius Zöllner

Proceedings of the 35th British Machine Vision Conference Workshop Proceedings, 2024

Hybrid Video Anomaly Detection for Autonomous Driving.

Daniel Bogdoll, Jan Imhof, Tim Joseph, Svetlana Pavlitska, J. Marius Zöllner

Proceedings of the 35th British Machine Vision Conference Workshop Proceedings, 2024

2023

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

Daniel Bogdoll, Lukas Bosch, Tim Joseph, Helen Gremmelmaier, Yitian Yang, J. Marius Zöllner

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Predicting Patient Status in Chronic Thromboembolic Pulmonary Hypertension Using a Biophysical Model.

Behdad Shaarbaf Ebrahimi, Prashanna Khwaounjoo, Finbar Argus, Ho-Fung Chan, Martyn P. Nash, David McGiffin, David Kaye, Atsuo Doi, Tim Joseph, Helen Whitford, Merryn H. Tawhai

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022

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

Julian Wörmann, Daniel Bogdoll, Etienne Bührle, Han Chen, Evaristus Fuh Chuo, Kostadin Cvejoski, Ludger van Elst, Tobias Gleißner, Philip Gottschall, Stefan Griesche, Christian Hellert, Christian Hesels, Sebastian Houben, Tim Joseph, Niklas Keil, Johann Kelsch, Hendrik Königshof, Erwin Kraft, Leonie Kreuser, Kevin Krone, Tobias Latka, Denny Mattern, Stefan Matthes, Mohsin Munir, Moritz Nekolla, Adrian Paschke, Maximilian Alexander Pintz, Tianming Qiu, Faraz Qureishi, Syed Tahseen Raza Rizvi, Jörg Reichardt, Laura von Rüden, Stefan Rudolph, Alexander Sagel, Gerhard Schunk, Hao Shen, Hendrik Stapelbroek, Vera Stehr, Gurucharan Srinivas, Anh Tuan Tran, Abhishek Vivekanandan, Ya Wang, Florian Wasserrab, Tino Werner, Christian Wirth, Stefan Zwicklbauer

CoRR, 2022

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

Daniel Bogdoll, Moritz Nekolla, Tim Joseph, J. Marius Zöllner

Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

Cycle-Consistent World Models for Domain Independent Latent Imagination.

Sidney Bender, Tim Joseph, J. Marius Zöllner

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2019

Analysis of the Effect of Various Input Representations for LSTM-Based Trajectory Prediction.

Antonia Breuer, Sven Elflein, Tim Joseph, Jan-Aike Bolte, Silviu Homoceanu, Tim Fingscheidt

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019