Learning OpenCV: Computer Vision with the OpenCV Library cover
Learning OpenCV: Computer Vision with the OpenCV Library
by Gary Bradski, Adrian Kaehler
Description: Learning OpenCV: Computer Vision with the OpenCV Library provides detailed information on implementing computer vision algorithms using the OpenCV library, covering both practical applications and foundational concepts in the field
ISBN: 0596516134
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Joel_Mckay · 2026-02-16 · Original thread
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