4Seasons: A Cross-Season Dataset for Multi-Weather SLAM in Autonomous Driving (bibtex)

by P. Wenzel, R. Wang, N. Yang, Q. Cheng, Q. Khan, L. von Stumberg, N. Zeller and D. Cremers

Reference:

4Seasons: A Cross-Season Dataset for Multi-Weather SLAM in Autonomous Driving (P. Wenzel, R. Wang, N. Yang, Q. Cheng, Q. Khan, L. von Stumberg, N. Zeller and D. Cremers), In Proceedings of the German Conference on Pattern Recognition (GCPR), 2020. ([project page][arXiv][video])

Bibtex Entry:

@inproceedings{wenzel2020fourseasons,
 title = {{4Seasons}: A Cross-Season Dataset for Multi-Weather {SLAM} in Autonomous Driving},
 author = {P. Wenzel and R. Wang and N. Yang and Q. Cheng and Q. Khan and L. von Stumberg and N. Zeller and D. Cremers},
 booktitle = {Proceedings of the German Conference on Pattern Recognition ({GCPR})},
 year = {2020},
 keywords = {vslam,4seasons, deep learning},
}

by P. Wenzel, R. Wang, N. Yang, Q. Cheng, Q. Khan, L. von Stumberg, N. Zeller and D. Cremers

Reference:

Bibtex Entry:

@inproceedings{wenzel2020fourseasons,
 title = {{4Seasons}: A Cross-Season Dataset for Multi-Weather {SLAM} in Autonomous Driving},
 author = {P. Wenzel and R. Wang and N. Yang and Q. Cheng and Q. Khan and L. von Stumberg and N. Zeller and D. Cremers},
 booktitle = {Proceedings of the German Conference on Pattern Recognition ({GCPR})},
 year = {2020},
 keywords = {vslam,4seasons, deep learning},
}

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Qadeer Khan

PhD StudentTechnical University of Munich

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SS20: Practical course Learning For Self-Driving Cars and Intelligent Systems with News.
WS19/20: Practical course Learning For Self-Driving Cars and Intelligent Systems with Yuesong Shen and News.
SS19: Practical course Hands-on Deep Learning for Computer Vision and Biomedicine with Dr. Vladimir Golkov and News.

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In case you are interested in doing an IDP, Guided Research, Bachelor/Master thesis, in the areas of Graphical neural networks, active learning, vehicle control feel free to send your application including resume and transcripts and a short description of the area of interest.

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Optimal Brain Damage: Model Pruning for faster inference
Deep Active learning on Graphical networks for semantic segmentation.
Unsupervised multi-view image synthesis.

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Self-Supervised Vehicle Control on Sparse 3D point clouds [Bachelor Thesis, Florian Müller]
IMU based pose estimation using deep neural networks [IDP, Nicholas Gao]

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Qadeer Khan

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