Colorize Lidar point clouds with camera images #Python
Lidars are powerful sensors that can create a high-resolution, three-dimensional view of the environment. Compared with images, lidar point clouds can better distinguish between objects because there is no overlap. In addition, the 3-dimensional nature of the data ensures accurate depth perception. However a crucial disadvantage of using point clouds for perception is that they are not colored. This makes identifying objects more difficult compared to camera images.
To overcome this disadvantage, Lidar point clouds can be colored by mapping lidar points onto synchronized camera images. This can be done through some Python magic.
Read more on the process here and code is on GitHub.
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