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Kanzhi Wu

5 accepted papers

2017

An invariant-EKF VINS algorithm for improving consistency

IROS 2017poster

The main contribution of this paper is an invariant extended Kalman filter (EKF) for visual inertial navigation systems (VINS). It is demonstrated that the conventional EKF based VINS is not invariant under the stochastic unobservable transformation, associated with a translation and a rotation abou…

Cited by 122SourceScholar
2017

Convergence and Consistency Analysis for a 3-D Invariant-EKF SLAM

RA-L 2017

In this letter, we investigate the convergence and consistency properties of an invariant-extended Kalman filter (RI-EKF) based simultaneous localization and mapping (SLAM) algorithm. Basic convergence properties of this algorithm are proven. These proofs do not require the restrictive assumption th

Cited by 148SourceScholar
2017

Planar scan matching using incident angle

IROS 2017poster

The main contribution of this paper is a planar scan matching algorithm that makes use of the incident angle of a scan point as a feature to enhance the robustness to large relative transformations, particularly in orientation. A new definition of the incident angle is introduced and its consistency…

Cited by 3SourceScholar
2017

RISAS: A novel rotation, illumination, scale invariant appearance and shape feature

ICRA 2017poster

This paper presents a novel appearance and shape feature, RISAS, which is robust to viewpoint, illumination, scale and rotation variations. RISAS consists of a keypoint detector and a feature descriptor both of which utilise texture and geometric information present in the appearance and shape chann…

Cited by 12SourceScholar
2015

Active recognition and pose estimation of household objects in clutter

ICRA 2015poster

This paper presents an active object recognition and pose estimation system for household objects in a highly cluttered environment. A sparse feature model, augmented with the characteristics of features when observed from different viewpoints is used for recognition and pose estimation while a dens…

Cited by 54SourceScholar