Intelligent and Converged Networks | |
PointGAT: Graph attention networks for 3D object detection | |
article | |
Haoran Zhou1  Wei Wang1  Gang Liu1  Qingguo Zhou1  | |
[1] School of Information Science and Engineering,CHINA. Lanzhou University | |
关键词: attention mechanism; graph neural network; 3D object detection; pointcloud; | |
DOI : 10.23919/ICN.2022.0014 | |
学科分类:社会科学、人文和艺术(综合) | |
来源: TUP | |
【 摘 要 】
3D object detection is a critical technology in many applications, and among the various detection methods, pointcloud-based methods have been the most popular research topic in recent years. Since Graph Neural Network (GNN) is considered to be effective in dealing with pointclouds, in this work, we combined it with the attention mechanism and proposed a 3D object detection method named PointGAT. Our proposed PointGAT outperforms previous approaches on the KITTI test dataset. Experiments in real campus scenarios also demonstrate the potential of our method for further applications.
【 授权许可】
CC BY-NC-ND
【 预 览 】
Files | Size | Format | View |
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RO202307150001025ZK.pdf | 5186KB | download |