Kanzhi Wu

Orcid: 0000-0002-8061-5755

According to our database1, Kanzhi Wu authored at least 13 papers between 2011 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Kernel-GPA: A globally optimal solution to deformable SLAM in closed-form.
Int. J. Robotics Res., 2024

2023
KernelGPA: A Globally Optimal Solution to Deformable SLAM in Closed-form.
CoRR, 2023

2017
Action for perception: active object recognition and pose estimation in cluttered environments
PhD thesis, 2017

Convergence and Consistency Analysis for a 3-D Invariant-EKF SLAM.
IEEE Robotics Autom. Lett., 2017

Convergence and Consistency Analysis for A 3D Invariant-EKF SLAM.
CoRR, 2017

An invariant-EKF VINS algorithm for improving consistency.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Planar scan matching using incident angle.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

RISAS: A novel rotation, illumination, scale invariant appearance and shape feature.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Gyro-aided camera-odometer online calibration and localization.
Proceedings of the 2017 American Control Conference, 2017

2016
RISAS: A Novel Rotation, Illumination, Scale Invariant Appearance and Shape Feature.
CoRR, 2016

2015
Active recognition and pose estimation of household objects in clutter.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

2014
A fast pipeline for textured object recognition in clutter using an RGB-D sensor.
Proceedings of the 13th International Conference on Control Automation Robotics & Vision, 2014

2011
Tree-Structured MRF Based Image Segmentation Combined with Advanced Means Shift Mode Detection.
Proceedings of the Sixth International Conference on Image and Graphics, 2011


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