A Fast Spatial Clustering Method for Sparse LiDAR Point Clouds Using GPU Programming

Fast and accurate obstacle detection is essential for accurate perception of mobile vehicles’ environment. Because point clouds sensed by light detection and ranging (LiDAR) sensors are sparse and unstructured, traditional obstacle clustering on raw point clouds are inaccurate and time consuming. Th...

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Detalles Bibliográficos
Autores principales: Tian, Yifei, Song, Wei, Chen, Long, Sung, Yunsick, Kwak, Jeonghoon, Sun, Su
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7219594/
https://www.ncbi.nlm.nih.gov/pubmed/32325631
http://dx.doi.org/10.3390/s20082309

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7219594/
https://www.ncbi.nlm.nih.gov/pubmed/32325631
http://dx.doi.org/10.3390/s20082309

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