计算机与数字工程2023，Vol.51Issue(10)：2313-2317,5.DOI:10.3969/j.issn.1672-9722.2023.10.019
基于PointPillars改进的点云目标检测算法
Improved Point Cloud Object Detection Algorithm Based on PointPillars
何俊杰 1任明武1
作者信息
- 1. 南京理工大学计算机科学与工程学院 南京 210094
- 折叠
摘要
Abstract
Although the existing point cloud object detection methods are constantly being proposed,these methods mainly fo-cus on improving the detection accuracy,but their efficiency of detection is not high enough,it is difficult to meet the real-time re-quirements in practical applications.The PointPillars method significantly improves the speed of point cloud object detection through an innovative point cloud feature processing method,which provides the possibility for practical applications in the indus-try.Combining the idea of multi-scale feature fusion and 3-D attention mechanism,this paper improves the structure of PointPillars method to improve the detection performance of the original method for multi-scale targets,which makes up for the lack of detection accuracy of this method compared with state-of-the-art methods.The improved method has better detection performance still with enough detection speed,and has certain value of engineering application.关键词
点云/目标检测/PointPillars/多尺度/3D注意力Key words
point cloud/object detection/PointPillars/multi-scale/3-D attention分类
信息技术与安全科学引用本文复制引用
何俊杰,任明武..基于PointPillars改进的点云目标检测算法[J].计算机与数字工程,2023,51(10):2313-2317,5.
