A GPU-accelerated LiDAR Sensor for Generating Labelled Datasets

Spanish Computer Graphics Conference (CEIG 2021) pp. 27-30

Alfonso López-Ruiz; Carlos-Javier Ogayar-Anguita; Francisco R. Feito


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.

DOI: 10.2312/ceig.20211360q


author = {Alfonso L\'opez-Ruiz and Carlos Javier Ogayar-Anguita and Francisco Ram\'on Feito-Higueruela},
title = {A GPU-accelerated LiDAR Sensor for Generating Labelled Datasets},
booktitle = {Spanish Computer Graphics Conference (CEIG 2021)},
pages = {27-30},
year = {2021},
address = {M\'alaga (España), 22-24 Septiembre},
doi = {10.2312/ceig.20211360q},
isbn = {978-3-03868-160-1}