Downsampling of a 3D LiDAR Point Cloud by a Tensor Voting Based Method

Osman Ervan, Hakan Temeltas

Araştırma sonucu: ???type-name???Konferans katkısıbilirkişi

4 Atıf (Scopus)

Özet

A point cloud is a data format that consists of a combination of multiple points used to identify an object or environment. Point cloud registration is related with many significant and compelling 3D perception problems including simultaneous localization and mapping (SLAM), 3D object reconstruction, dense 3D environment generation, pose estimation, and object tracking. The aim of this study is to ensure that the point clouds obtained with 3D LiDAR are sampled while preserving their geometric features. For this process, it is inspired from the method known in the literature as Tensor Voting, which is used to extract geometric features in N-dimensional space. After determining the areas with high density in the point cloud, with the help of tensor voting, it is aimed to express the same geometric attributes with a lower number of points by reducing the density.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıELECO 2019 - 11th International Conference on Electrical and Electronics Engineering
YayınlayanInstitute of Electrical and Electronics Engineers Inc.
Sayfalar880-884
Sayfa sayısı5
ISBN (Elektronik)9786050112757
DOI'lar
Yayın durumuYayınlandı - Kas 2019
Etkinlik11th International Conference on Electrical and Electronics Engineering, ELECO 2019 - Bursa, Turkey
Süre: 28 Kas 201930 Kas 2019

Yayın serisi

AdıELECO 2019 - 11th International Conference on Electrical and Electronics Engineering

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???11th International Conference on Electrical and Electronics Engineering, ELECO 2019
Ülke/BölgeTurkey
ŞehirBursa
Periyot28/11/1930/11/19

Bibliyografik not

Publisher Copyright:
© 2019 Chamber of Turkish Electrical Engineers.

Parmak izi

Downsampling of a 3D LiDAR Point Cloud by a Tensor Voting Based Method' araştırma başlıklarına git. Birlikte benzersiz bir parmak izi oluştururlar.

Alıntı Yap