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.
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@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
} }
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