Normal Vector Direction-based 3D LiDAR Point Cloud Planar Surface Removal for Object Cluster Minimization in Human Activity Monitoring System-Reference-Cited by-同舟云学术

Normal Vector Direction-based 3D LiDAR Point Cloud Planar Surface Removal for Object Cluster Minimization in Human Activity Monitoring System

Published:2023-05-22 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)
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Author:

Budiyanta Nova Eka¹,Yuniarno Eko Mulyanto²,Usagawa Tsuyoshi³,Purnomo Mauridhi Hery⁴

Affiliation:

1. Institut Teknologi Sepuluh Nopember,Faculty of Intelligent Electrical and Informatics Technology (F-Electics),Dept. of Electrical Engineering,Surabaya,Indonesia

2. Institut Teknologi Sepuluh Nopember,Faculty of Intelligent Electrical and Informatics Technology (F-Electics),Dept. of Electrical Engineering Dept. of Computer Engineering,Surabaya,Indonesia

3. Graduate School of Science and Technology Kumamoto University,Department of Computer Science and Electrical Engineering,Kumamoto,Japan

4. Institut Teknologi Sepuluh Nopember University Center of Excellence on Artificial Intelligence for Healthcare and Society (UCE AIHeS),Faculty of Intelligent Electrical and Informatics Technology (F-Electics),Dept. of Electrical Engineering Dept. of Computer Engineering,Surabaya,Indonesia

Funder

Kumamoto University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10175865/10175876/10175928.pdf?arnumber=10175928

Reference34 articles.

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2. VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection

3. Singular value decomposition and least squares solutions

4. Vision meets robotics: The KITTI dataset

5. Exploiting polar grid structure and object shadows for fast object detection in point clouds

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