A GPU-accelerated LiDAR Sensor for Generating Labelled Datasets
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Date
2021
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
This paper presents a GPU-based LiDAR simulator to generate large datasets of ground-truth point clouds. LiDAR technology has significantly increased its impact on academic and industrial environments. However, some of its applications require a large amount of annotated LiDAR data. Furthermore, there exist many types of LiDAR sensors. Therefore, developing a parametric LiDAR model allows simulating a wide range of LiDAR scanning technologies and obtaining a significant number of points clouds at no cost. Beyond their intensity data, these synthetic point clouds can be classified with any level of detail.
Description
@inproceedings{10.2312:ceig.20211360,
booktitle = {Spanish Computer Graphics Conference (CEIG)},
editor = {Ortega, Lidia M. and Chica, Antonio},
title = {{A GPU-accelerated LiDAR Sensor for Generating Labelled Datasets}},
author = {López, Alfonso and Anguita, Carlos Javier Ogayar and Higueruela, Francisco Ramón Feito},
year = {2021},
publisher = {The Eurographics Association},
ISBN = {978-3-03868-160-1},
DOI = {10.2312/ceig.20211360}
}