4Seasons: Benchmarking Visual SLAM and Long-Term Localization for Autonomous Driving in Challenging Conditions (bibtex)
by P Wenzel, N Yang, R Wang, N Zeller and D Cremers
Reference:
4Seasons: Benchmarking Visual SLAM and Long-Term Localization for Autonomous Driving in Challenging Conditions (P Wenzel, N Yang, R Wang, N Zeller and D Cremers), In arXiv preprint arXiv:2301.01147, 2022. 
Bibtex Entry:
@article{wenzel2022seasons,
 title = {4Seasons: Benchmarking Visual SLAM and Long-Term Localization for Autonomous Driving in Challenging Conditions},
 author = {P Wenzel and N Yang and R Wang and N Zeller and D Cremers},
 journal = {arXiv preprint arXiv:2301.01147},
 year = {2022},
 eprint = {2301.01147},
 eprinttype = {arXiv},
 eprintclass = {cs.CV},
}
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4Seasons: Benchmarking Visual SLAM and Long-Term Localization for Autonomous Driving in Challenging Conditions (bibtex)
4Seasons: Benchmarking Visual SLAM and Long-Term Localization for Autonomous Driving in Challenging Conditions (bibtex)
by P Wenzel, N Yang, R Wang, N Zeller and D Cremers
Reference:
4Seasons: Benchmarking Visual SLAM and Long-Term Localization for Autonomous Driving in Challenging Conditions (P Wenzel, N Yang, R Wang, N Zeller and D Cremers), In arXiv preprint arXiv:2301.01147, 2022. 
Bibtex Entry:
@article{wenzel2022seasons,
 title = {4Seasons: Benchmarking Visual SLAM and Long-Term Localization for Autonomous Driving in Challenging Conditions},
 author = {P Wenzel and N Yang and R Wang and N Zeller and D Cremers},
 journal = {arXiv preprint arXiv:2301.01147},
 year = {2022},
 eprint = {2301.01147},
 eprinttype = {arXiv},
 eprintclass = {cs.CV},
}
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members:yangn

Table of Contents

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
Office: 
Mail: yangn@in.tum.de

Find me on Google Scholar, Linkedin.

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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.

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