基于点柱的预处理问题改进检测算法

Jing Zhang, Da Xu, Jiajun Wang, Yunsong Li
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引用次数: 0

摘要

在自动驾驶领域,利用激光雷达点云进行目标检测是关键技术之一。为了有效地利用点云信息,减少信息损失,本文提出了一种新的伪图像生成方法。在注意机制基本思想的启发下,提出了一种二维融合注意模块,将多幅伪图像在高度和通道维度上进行特征融合,增强了特征信息的表达能力。结果表明,改进后的网络性能优于原网络。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Improved Detection Algorithm For Pre-processing Problem Based On PointPillars
In the field of automatic driving, target detection by processing lidar point cloud is one of the key points. In order to effectively utilize point cloud information and reduce the information loss, this paper proposes a new pseudo-image generation method. Inspired by the basic idea of attention mechanism, a two-dimensional fusion attention module is proposed, which fuses features from multiple pseudo-images in height and channel dimensions, enhancing the ability of expression of feature information. The results show that the improved network performs better than the original network.
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