In general, lidar is used to remove the ambiguity in a local ground scan, and cameras extrapolate overlapping texture gradients to guess distant surface structure ( documented in the old book https://www.amazon.com/Learning-OpenCV-Computer-Vision-Libra... .)
There are some fairly good FOSS tools around like COLMAP, if you want to learn why automatic monocular pose recovery and SfM is hard.
Real autonomous robotics is hard, and people make the same predictable mistakes every 4 years. Retrofitting a consumer Yarbo would be cool though. =3
I observe many groups solving platform design issues also eventually move on to other projects or careers. The dozens of documented fools-errands from Academic literature and Commercial sectors are eventually lost again each time. There are various institutional structural reasons this occurs, but the outcome is usually the same.
One must accept many problems are not purely technical in nature, and unfortunately complex Mechatronics often tend to exhibit sustainability problems.
There are some fairly good FOSS tools around like COLMAP, if you want to learn why automatic monocular pose recovery and SfM is hard.
Real autonomous robotics is hard, and people make the same predictable mistakes every 4 years. Retrofitting a consumer Yarbo would be cool though. =3