A GPU-accelerated LiDAR Sensor for Generating Labelled Datasets
Published in Congreso Español de Informática Gráfica (CEIG), 2021
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.
Recommended citation: López, A., Anguita, C. J. O., & Higueruela, F. R. F. (2021). A GPU-accelerated LiDAR Sensor for Generating Labelled Datasets. Spanish Computer Graphics Conference (CEIG). https://doi.org/10.2312/CEIG.20211360.
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