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May, 2023
PillarNeXt: 针对 LiDAR 点云的 3D 物体检测重新思考网络设计
PillarNeXt: Rethinking Network Designs for 3D Object Detection in LiDAR Point Clouds
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Jinyu Li, Chenxu Luo, Xiaodong Yang
TL;DR
本文提出了基于pillar的算法模型在LiDAR 3D目标检测中的效果以及在架构和训练等方面的现代化设计，通过扩大感受野等方法取得了显著提升，在Waymo开放数据集和nuScenes数据集上实现了最优性能。
Abstract
In order to deal with the sparse and unstructured raw point clouds,
lidar
based
3d object detection
research mostly focuses on designing dedicated local point aggregators for fine-grained
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