Tobias Gindele

According to our database, Tobias Gindele authored at least 20 papers between 2007 and 2024.

Collaborative distances:

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

2024

MMAU: A Holistic Benchmark of Agent Capabilities Across Diverse Domains.

Guoli Yin, Haoping Bai, Shuang Ma, Feng Nan, Yanchao Sun, Zhaoyang Xu, Shen Ma, Jiarui Lu, Xiang Kong, Aonan Zhang, Dian Ang Yap, Yizhe Zhang, Karsten Ahnert, Vik Kamath, Mathias Berglund, Dominic Walsh, Tobias Gindele, Juergen Wiest, Zhengfeng Lai, Xiaoming Wang, Jiulong Shan, Meng Cao, Ruoming Pang, Zirui Wang

CoRR, 2024

2019

Interpretable and Fine-Grained Visual Explanations for Convolutional Neural Networks.

Jörg Wagner, Jan Mathias Köhler, Tobias Gindele, Leon Hetzel, Jakob Thaddäus Wiedemer, Sven Behnke

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2016

Simultaneous estimation of rewards and dynamics from noisy expert demonstrations.

Michael Herman, Tobias Gindele, Jörg Wagner, Felix Schmitt, Wolfram Burgard

Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

Learning High-Level Navigation Strategies via Inverse Reinforcement Learning: A Comparative Analysis.

Michael Herman, Tobias Gindele, Jörg Wagner, Felix Schmitt, Christophe Quignon, Wolfram Burgard

Proceedings of the AI 2016: Advances in Artificial Intelligence, 2016

Inverse Reinforcement Learning with Simultaneous Estimation of Rewards and Dynamics.

Michael Herman, Tobias Gindele, Jörg Wagner, Felix Schmitt, Wolfram Burgard

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015

Learning Driver Behavior Models from Traffic Observations for Decision Making and Planning.

Tobias Gindele, Sebastian Brechtel, Rüdiger Dillmann

IEEE Intell. Transp. Syst. Mag., 2015

Inverse reinforcement learning of behavioral models for online-adapting navigation strategies.

Michael Herman, Volker Fischer, Tobias Gindele, Wolfram Burgard

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

2014

Learning Behavior Models for Interpreting and Predicting Traffic Situations.

Tobias Gindele

PhD thesis, 2014

Probabilistic decision-making under uncertainty for autonomous driving using continuous POMDPs.

Sebastian Brechtel, Tobias Gindele, Rüdiger Dillmann

Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014

2013

Learning context sensitive behavior models from observations for predicting traffic situations.

Tobias Gindele, Sebastian Brechtel, Rüdiger Dillmann

Proceedings of the 16th International IEEE Conference on Intelligent Transportation Systems, 2013

Solving Continuous POMDPs: Value Iteration with Incremental Learning of an Efficient Space Representation.

Sebastian Brechtel, Tobias Gindele, Rüdiger Dillmann

Proceedings of the 30th International Conference on Machine Learning, 2013

2011

Probabilistic MDP-behavior planning for cars.

Sebastian Brechtel, Tobias Gindele, Rüdiger Dillmann

Proceedings of the 14th International IEEE Conference on Intelligent Transportation Systems, 2011

2010

A probabilistic model for estimating driver behaviors and vehicle trajectories in traffic environments.

Tobias Gindele, Sebastian Brechtel, Rüdiger Dillmann

Proceedings of the 13th International IEEE Conference on Intelligent Transportation Systems, 2010

Recursive importance sampling for efficient grid-based occupancy filtering in dynamic environments.

Sebastian Brechtel, Tobias Gindele, Rüdiger Dillmann

Proceedings of the IEEE International Conference on Robotics and Automation, 2010

2009

Team AnnieWAY's Autonomous System for the DARPA Urban Challenge 2007.

Sören Kammel, Julius Ziegler, Benjamin Pitzer, Moritz Werling, Tobias Gindele, Daniel Jagszent, Joachim Schröder, Michael Thuy, Matthias Goebl, Felix von Hundelshausen, Oliver Pink, Christian Frese, Christoph Stiller

Proceedings of the DARPA Urban Challenge: Autonomous Vehicles in City Traffic, 2009

Dynamic Bayesian Network Library - Ein C++ Framework für Berechnungen auf dynamischen Bayes'schen Netzen.

Ralf Kohlhaas, Ferdinand Szekeresch, Tobias Gindele, Rüdiger Dillmann

Proceedings of the Autonome Mobile Systeme 2009, 2009

Probabilistisches Belegtheitsfilter zur Schätzung dynamischer Umgebungen unter Verwendung multipler Bewegungsmodelle.

Sebastian Brechtel, Tobias Gindele, Jan Vogelgesang, Rüdiger Dillmann

Proceedings of the Autonome Mobile Systeme 2009, 2009

2008

Team AnnieWAY's autonomous system for the 2007 DARPA Urban Challenge.

Sören Kammel, Julius Ziegler, Benjamin Pitzer, Moritz Werling, Tobias Gindele, Daniel Jagszent, Joachim Schröder, Michael Thuy, Matthias Goebl, Felix von Hundelshausen, Oliver Pink, Christian Frese, Christoph Stiller

J. Field Robotics, 2008

Team AnnieWAY's Autonomous System.

Christoph Stiller, Sören Kammel, Benjamin Pitzer, Julius Ziegler, Moritz Werling, Tobias Gindele, Daniel Jagszent

Proceedings of the Robot Vision, Second International Workshop, 2008

2007

Using case-based reasoning for autonomous vehicle guidance.

Stefan Vacek, Tobias Gindele, Johann Marius Zöllner, Rüdiger Dillmann

Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 29, 2007