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Efficient three-dimensional point cloud object detection based on improved Complex-YOLO

Lidar-based 3D object detection and classification is a critical task for autonomous driving. However, inferencing from exceedingly sparse 3D data in real-time is a formidable challenge. Complex-YOLO solves the problem of point cloud disorder and sparsity by projecting it onto the bird’s-eye view an...

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Detalles Bibliográficos
Autores principales: Shao, Yongxin, Sun, Zhetao, Tan, Aihong, Yan, Tianhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9978332/
https://www.ncbi.nlm.nih.gov/pubmed/36876303
http://dx.doi.org/10.3389/fnbot.2023.1092564