马得花;闫宏亮;

• 1:青海省遥感测绘院

摘要(Abstract)：

针对无人驾驶技术高速发展中车辆目标的3D检测仍存在局限性的问题,该文提出了一种基于全卷积神经网络的车辆点云三维目标检测框架。进行了深度学习技术在二维图像的目标检测成熟应用的调查,将全卷积神经网络的目标检测扩展到三维点云数据。该算法在KITTI数据集上进行了测试,并与先前基于点云的车辆检测方法进行比较表明算法性能有着显著提高。研究结果可以应用于激光雷达点云实现车辆检测任务,从而可以较好地服务于自动驾驶。

关键词(KeyWords)： 车辆检测;目标检测;激光雷达点云;全卷积神经网络;交通测绘

Abstract:

Keywords:

基金项目(Foundation):

作者(Authors): 马得花;闫宏亮;

DOI: 10.16251/j.cnki.1009-2307.2020.03.015

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