Simultaneous Localization And Mapping (SLAM) is the computational problem of constructing or updating a map of an unknown environment while simultaneously keeping track of an agent’s location within it.
SLAM algorithm basics:
1. Maps can be built from a location and a camera (mapping).
2. A camera can be located within a map (localization).
Standard Computer Vision | Feature Based SLAM | Stratus Dense SLAM |
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