z-logo
open-access-imgOpen Access
A Study on Methods for Constructing Deep Learning Training Datasets for Object Classification Using Virtual 3D Lidar Sensor
Author(s) -
Hyeongjun Jang,
Weonil Son,
Taewon Ahn,
Yongki Lee,
Kihong Park
Publication year - 2020
Publication title -
transactions of korean society of automotive engineers
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.206
H-Index - 5
eISSN - 2234-0149
pISSN - 1225-6382
DOI - 10.7467/ksae.2020.28.6.427
Subject(s) - lidar , computer science , artificial intelligence , training (meteorology) , object (grammar) , deep learning , training set , object detection , remote sensing , computer vision , machine learning , pattern recognition (psychology) , geography , meteorology

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom