本项目为2018年山东大学第四届“可视计算”暑期学校无人车小组的DIY项目，参考山东大学提出的基于点云的PointCNN点卷积神经网络，使用KITTI数据集对车辆的点云输入进行语义分割，并就划分出的车辆图像进行三维包装盒的预测，以帮助无人车定位车辆的三维位置。
☆51Jul 21, 2020Updated 5 years ago
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