Zichao Zhang



Zichao Zhang (张子潮)

MSc University of Zurich

Robotics and Perception Group

Department of Informatics

University of Zurich


Email: zzhang (at) ifi (dot) uzh (dot) ch

Office: Andreasstrasse 15, AND 2.12



I am currently a PhD student at Robotics and Perception Group at University of Zurich, supervised by Prof. Dr. Davide Scaramuzza. I received my Bachelor degree in Detection, Guidance and Control from Beihang University (Beijing, China) in 2011 and Master degree in Computer Science from University of Zurich (Zurich, Switzerland) in 2016. My research interests include vision-based navigation, sensor fusion, robot state estimation and active vision.


Journal Papers



Z. Zhang, G. Gallego, D, Scaramuzza

On the Comparison of Gauge Freedom Handling in Optimization-based Visual-Inertial State Estimation

IEEE Robotics and Automation Letters (RA-L), 2018.

PDF (PDF, 1036 KB)  IROS18 Presentation (PPTX, 52250 KB)  Code


C. Forster, Z. Zhang, M. Gassner, M.Werlberger, D. Scaramuzza

SVO: Semi-Direct Visual Odometry for Monocular and Multi-Camera Systems

IEEE Transactions on Robotics, Vol. 33, Issue 2, pages 249-265, Apr. 2017.

PDF (PDF, 13022 KB) YouTube  Software

Conference Papers



Z. Zhang, D. Scaramuzza

A Tutorial on Quantitative Trajectory Evaluation for Visual(-inertial) Odometry 

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Madrid, 2018.

PDF (PDF, 483 KB)  PPT (PPTX, 8041 KB)  VO/VIO Evaluation Toolbox


Z. Zhang, D. Scaramuzza

Perception-aware Receding Horizon Navigation for MAVs

IEEE International Conference on Robotics and Automation (ICRA), 2018.

PDF (PDF, 1617 KB)  Video  ICRA18 Video Pitch  PPT (PPTX, 96117 KB)


R. Gomez-Ojeda, Z. Zhang, J. Gonzalez-Jimenez, D. Scaramuzza

Learning-based Image Enhancement for Visual Odometry in Challenging HDR Environments

IEEE International Conference on Robotics and Automation (ICRA), 2018.

PDF (PDF, 1357 KB)  Video  ICRA18 Video Pitch  PPT (PPTX, 30628 KB)


Z. Zhang, C. Forster, D. Scaramuzza

Active Exposure Control for Robust Visual Odometry in HDR Environments

IEEE International Conference on Robotics and Automation (ICRA), 2017.

PDF (PDF, 1450 KB)  PPT (PPTM, 96927 KB)  Video


Z. Zhang, H. Rebecq, C. Forster, D. Scaramuzza

Benefit of Large Field-of-View Cameras for Visual Odometry

IEEE International Conference on Robotics and Automation (ICRA), Stockholm, 2016.

PDF (PDF, 6292 KB) PPT (PPTM, 21738 KB)  YouTube Research page (datasets and software)