PhD studentTechnische Universität München
Department of Computer Science
- [07.2018] One paper accepted for ECCV 2018 (oral), Munich.
- [06.2018] One paper accepted for IROS 2018, Madrid.
- [05.2018] One paper accepted for publication in RA-L.
My research interests lie in incorporating deep learning into visual odometry and SLAM.
Deep Virtual Stereo Odometry (DVSO) – Project Page
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 PhD student and senior computer vision & AI researcher in Artisense, a startup co-founded by Prof. Daniel Cremers.
|Challenges in Monocular Visual Odometry: Photometric Calibration, Motion Bias and Rolling Shutter Effect , In IEEE Robotics and Automation Letters (RA-L), volume 3, 2018.(This paper was also selected by IROS'18 for presentation at the conference.[arxiv]) [bib] [pdf] [doi]|
|Conference and Workshop Papers|
|Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry , In European Conference on Computer Vision (ECCV), 2018.([arxiv],[supplementary],[video]) [bib]Oral Presentation|