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Table 2 Object classification accuracies for the Hough-CNN, Hough-BPNN, and Voxel-CNN

From: CNN-based 3D object classification using Hough space of LiDAR point clouds

Types

Hough-CNN

Hough-BPNN

Voxel-CNN

Wall

0.819

0.774

0.655

Bush

0.991

0.954

0.933

Pedestrian

0.970

0.939

0.531

Tree

0.951

0.684

0.708

Average accuracy

0.933

0.838

0.707