Mingyang Li

Affiliations:
  • Google Inc., Mountain View, CA, USA
  • University of California, Riverside, Department of Electrical Engineering, CA, USA (PhD 2014)


According to our database1, Mingyang Li authored at least 14 papers between 2011 and 2017.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2017
A dense flow-based framework for real-time object registration under compound motion.
Pattern Recognit., 2017

Photometric patch-based visual-inertial odometry.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2015
Decoupled Representation of the Error and Trajectory Estimates for Ef_cient Pose Estimation.
Proceedings of the Robotics: Science and Systems XI, Sapienza University of Rome, 2015

2014
Visual-Inertial Odometry on Resource-Constrained Systems.
PhD thesis, 2014

Vision-aided inertial navigation with rolling-shutter cameras.
Int. J. Robotics Res., 2014

Online temporal calibration for camera-IMU systems: Theory and algorithms.
Int. J. Robotics Res., 2014

High-fidelity sensor modeling and self-calibration in vision-aided inertial navigation.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

2013
High-precision, consistent EKF-based visual-inertial odometry.
Int. J. Robotics Res., 2013

3-D motion estimation and online temporal calibration for camera-IMU systems.
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

Real-time motion tracking on a cellphone using inertial sensing and a rolling-shutter camera.
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

2012
Optimization-Based Estimator Design for Vision-Aided Inertial Navigation.
Proceedings of the Robotics: Science and Systems VIII, 2012

Vision-aided inertial navigation for resource-constrained systems.
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

Improving the accuracy of EKF-based visual-inertial odometry.
Proceedings of the IEEE International Conference on Robotics and Automation, 2012

2011
A particle filter for monocular vision-aided odometry.
Proceedings of the IEEE International Conference on Robotics and Automation, 2011


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