Exploring Vacuum Cleaner Abstractions and Visual Sensors

This chapter delves into the main abstractions and specific types used in the vacuum cleaner codebase, focusing on converting camera feed into internal types and utilizing neural networks to detect obstacles like charging cables on the floor. The discussion also covers the concept of map layers for navigation and how the robot constantly updates its map using cameras and stereo cameras for depth information.