Conf-Net: Toward High-Confidence Dense 3D Point-Cloud with Error-Map Prediction

1 code implementation • 23 Jul 2019 • Hamid Hekmatian, Jingfu Jin, Samir Al-Stouhi

Using our predicted error-map, we demonstrate that by up-filling a LiDAR point cloud from 18, 000 points to 285, 000 points, versus 300, 000 points for full depth, we can reduce the RMSE error from 1004 to 399.

Autonomous Driving Depth Completion +1