A GPU-accelerated LiDAR Sensor for Generating Labelled Datasets

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dc.contributor.authorLópez, Alfonsoen_US
dc.contributor.authorAnguita, Carlos Javier Ogayaren_US
dc.contributor.authorHigueruela, Francisco Ramón Feitoen_US
dc.contributor.editorOrtega, Lidia M. and Chica, Antonioen_US
dc.date.accessioned2021-09-21T08:08:59Z
dc.date.available2021-09-21T08:08:59Z
dc.date.issued2021
dc.description.abstractThis 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.en_US
dc.description.sectionheadersShort Papers
dc.description.seriesinformationSpanish Computer Graphics Conference (CEIG)
dc.identifier.doi10.2312/ceig.20211360
dc.identifier.isbn978-3-03868-160-1
dc.identifier.pages27-30
dc.identifier.urihttps://doi.org/10.2312/ceig.20211360
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/ceig20211360
dc.publisherThe Eurographics Associationen_US
dc.subjectComputing methodologies
dc.subjectSimulation environments
dc.subjectMassively parallel algorithms
dc.subjectRendering
dc.titleA GPU-accelerated LiDAR Sensor for Generating Labelled Datasetsen_US
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