Tobias Gindele

According to our database1, Tobias Gindele authored at least 19 papers between 2007 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2019
Interpretable and Fine-Grained Visual Explanations for Convolutional Neural Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2016
Simultaneous estimation of rewards and dynamics from noisy expert demonstrations.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

Learning High-Level Navigation Strategies via Inverse Reinforcement Learning: A Comparative Analysis.
Proceedings of the AI 2016: Advances in Artificial Intelligence, 2016

Inverse Reinforcement Learning with Simultaneous Estimation of Rewards and Dynamics.
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.
IEEE Intell. Transp. Syst. Mag., 2015

Inverse reinforcement learning of behavioral models for online-adapting navigation strategies.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

2014
Learning Behavior Models for Interpreting and Predicting Traffic Situations.
PhD thesis, 2014

Probabilistic decision-making under uncertainty for autonomous driving using continuous POMDPs.
Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014

2013
Learning context sensitive behavior models from observations for predicting traffic situations.
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.
Proceedings of the 30th International Conference on Machine Learning, 2013

2011
Probabilistic MDP-behavior planning for cars.
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.
Proceedings of the 13th International IEEE Conference on Intelligent Transportation Systems, 2010

Recursive importance sampling for efficient grid-based occupancy filtering in dynamic environments.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010

2009
Team AnnieWAY's Autonomous System for the DARPA Urban Challenge 2007.
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.
Proceedings of the Autonome Mobile Systeme 2009, 2009

Probabilistisches Belegtheitsfilter zur Schätzung dynamischer Umgebungen unter Verwendung multipler Bewegungsmodelle.
Proceedings of the Autonome Mobile Systeme 2009, 2009

2008
Team AnnieWAY's autonomous system for the 2007 DARPA Urban Challenge.
J. Field Robotics, 2008

Team AnnieWAY's Autonomous System.
Proceedings of the Robot Vision, Second International Workshop, 2008

2007
Using case-based reasoning for autonomous vehicle guidance.
Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 29, 2007


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