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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...
Autores principales: | Shao, Yongxin, Sun, Zhetao, Tan, Aihong, Yan, Tianhong |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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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 |
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