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Hyunki Hong

4 accepted papers

2019

Regeneration of Normal Distributions Transform for Target Lattice Based on Fusion of Truncated Gaussian Components

RA-L 2019

In this letter, we propose a method that can be used to regenerate the 3-D normal distributions transform (NDT) for target lattice. When a pose is updated by simultaneous localization and mapping (SLAM), the lattice at the pose is also transformed. Given that NDT is a Gaussian mixture model generate

Cited by 5SourceScholar
2018

Dynamic Scaling Factors of Covariances for Accurate 3D Normal Distributions Transform Registration

IROS 2018poster

Distribution-to-distribution normal distributions transform (NDT-D2D) is one of the fast point set registrations. Since the normal distributions transform (NDT) is a set of normal distributions generated by discrete and regular cells, local minima of the objective function is an issue of NDT-D2D. Al…

Cited by 6SourceScholar
2017

Probabilistic normal distributions transform representation for accurate 3D point cloud registration

IROS 2017poster

This paper presents a probabilistic normal distributions transform (NDT) representation which improves the accuracy of point cloud registration by using the probabilities of point samples. Since conventional NDT does not generate distributions in cells having fewer point samples than the number thre…

Cited by 56SourceScholar