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Introduction to SLAM

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
Standard Computer Vision Feature Based SLAM Stratus Dense SLAM

 

Antonio Duarte

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