Autoencoders Based on 2D Convolution Implemented for Reconstruction Point Clouds from Line Laser Sensors

Gradual development is moving from standard visual content in the form of 2D data to the area of 3D data, such as points scanned by laser sensors on various surfaces. An effort in the field of autoencoders is to reconstruct the input data based on a trained neural network. For 3D data, this task is...

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Bibliographic Details
Main Authors: Jaromír Klarák, Ivana Klačková, Robert Andok, Jaroslav Hricko, Vladimír Bulej, Hung-Yin Tsai
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/23/10/4772