Refined Voting and Scene Feature Fusion for 3D Object Detection in Point Clouds

An essential task for 3D visual world understanding is 3D object detection in lidar point clouds. To predict directly bounding box parameters from point clouds, existing voting-based methods use Hough voting to obtain the centroid of each object. However, it may be difficult for the inaccurately vot...

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Detalles Bibliográficos
Autores principales: Yu, Hang, Su, Jinhe, Piao, Yingchao, Cai, Guorong, Lin, Yangbin, Liu, Niansheng, Liu, Weiquan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9815914/
https://www.ncbi.nlm.nih.gov/pubmed/36619812
http://dx.doi.org/10.1155/2022/3023934

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9815914/
https://www.ncbi.nlm.nih.gov/pubmed/36619812
http://dx.doi.org/10.1155/2022/3023934

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