Patrick Wenzel

Orcid: 0000-0002-1846-6701

According to our database1, Patrick Wenzel authored at least 14 papers between 2018 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Deep Learning Methods for Vehicle Localization and Control under Challenging Conditions.
PhD thesis, 2023

4Seasons: Benchmarking Visual SLAM and Long-Term Localization for Autonomous Driving in Challenging Conditions.
CoRR, 2023

2021
Vision-Based Mobile Robotics Obstacle Avoidance With Deep Reinforcement Learning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Self-Supervised Steering Angle Prediction for Vehicle Control Using Visual Odometry.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
GN-Net: The Gauss-Newton Loss for Multi-Weather Relocalization.
IEEE Robotics Autom. Lett., 2020

4Seasons: A Cross-Season Dataset for Multi-Weather SLAM in Autonomous Driving.
Proceedings of the Pattern Recognition - 42nd DAGM German Conference, DAGM GCPR 2020, Tübingen, Germany, September 28, 2020

LM-Reloc: Levenberg-Marquardt Based Direct Visual Relocalization.
Proceedings of the 8th International Conference on 3D Vision, 2020

2019
GN-Net: The Gauss-Newton Loss for Deep Direct SLAM.
CoRR, 2019

Towards Self-Supervised High Level Sensor Fusion.
CoRR, 2019

Semantic Label Reduction Techniques for Autonomous Driving.
CoRR, 2019

Latent Space Reinforcement Learning for Steering Angle Prediction.
CoRR, 2019

Towards Generalizing Sensorimotor Control Across Weather Conditions.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

2018
Modular Vehicle Control for Transferring Semantic Information to Unseen Weather Conditions using GANs.
CoRR, 2018

Modular Vehicle Control for Transferring Semantic Information Between Weather Conditions Using GANs.
Proceedings of the 2nd Annual Conference on Robot Learning, 2018


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