基于深度学习的三维目标检测方法综述

Review on the 3D-Object Detection Based on Deep Learning

在介绍二维目标检测方法的基础上,对基于深度学习的三维目标检测方法中的深度神经网络展开探讨,包括间接处理、直接处理和融合处理3类基本方法,并着重分析和对比各深度神经网络在三维目标检测速度和精确度等方面的优缺点,为车载激光雷达目标检测方法的选择提供参考依据。

Based on the introduction of 2D-object detection methods,the deep neural network for 3D-object detection based on deep learning,including 3 principal methods of indirect processing,direct processing,and fusion processing,are discussed.The advantages and disadvantages of deep neural network in 3D-object detection speed and accuracy are analyzed and compared,which provide reference basis for the selection of object detection method of onboard laser radar.