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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Nan Yang

PhD student

Technical University of Munich

School of Computation, Information and Technology
Informatics 9
Boltzmannstrasse 3
85748 Garching
Germany

Fax: +49-89-289-17757
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Mail: yangn@in.tum.de

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News

[05.2020] We are organizing a workshop together with a challenge on Map-based Localization for Autonomous Driving at ECCV 2020 (page).
[02.2020] D3VO accepted at CVPR 2020, Seattle (arxiv).
[01.2020] DirectShape accepted at ICRA 2020, Paris (project page).
[09.2019] MF-GAN accepted at CoRL 2019, Osaka (arxiv,video).
[07.2018] DVSO accepted at ECCV 2018, Munich (project page).
[06.2018] Challenges in MonoVO accepted at RA-L and IROS 2018, Madrid (arxiv).

Research Interests

My research interests lie in incorporating deep learning into classical visual odometry and SLAM.

Brief Bio

Nan Yang received his Bachelor's degree in Computer Science from Beijing University of Posts and Telecommunications and his Master's degree in Informatics from the Technical University of Munich. Since May 2018, he is a Ph.D. student and senior computer vision researcher in Artisense, a startup co-founded by Prof. Daniel Cremers.

Professional Services

Journal reviewer: RA-L
Conference reviewer: CVPR, ECCV, ICCV, AAAI, ICRA, IROS

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Nan Yang

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Brief Bio

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