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hlwang1124 avatar hlwang1124 commented on June 18, 2024

We use sparse LiDAR points to generate dense depth images. Some details are mentioned at #7. The data format of the depth_u16.png is: depth_u16 = 1000 * real_depth (in meters).

If you only have color images, one way to obtain dense depth images is to adopt existing monocular depth estimation networks. However, the performance of freespace detection may degrade since the depth images generated by monocular depth estimation networks are not as accurate as those generated from sparse LiDAR points.

from sne-roadseg.

mei123hao avatar mei123hao commented on June 18, 2024

Hello Wang, I try to generate dense depth images from lidar data too. But the generated depth image result seems different from your provided depth_u16. It also influences the inference performance. Can you provide your dense depth images generation code for us? Thanks a lot! @hlwang1124 My email: [email protected]

from sne-roadseg.

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