What is SLAM technology?

What is SLAM technology?

SLAM technology refers to simultaneous positioning and mapping. It means that the robot creates a map in a completely unknown environment under the condition that its own position is uncertain, and at the same time uses the map for autonomous positioning and navigation. Therefore, It can be seen that the main work of SLAM is positioning and mapping.

The basic process of SLAM

The robot starts to move from an unknown position in an unknown environment. During the movement, it positions itself based on position estimation and sensor data, and simultaneously builds Incremental map.

(1) Localization: The robot must know its position in the environment.

(2) Mapping: The robot must record the location of features in the environment (if it knows its own position)

(3) SLAM: The robot builds an environment map while positioning. The basic principle is to use probability and statistics methods to achieve positioning and reduce positioning errors through multi-feature matching.

The main modules of SLAM

Visual SLAM is mainly divided into several modules: data collection, visual odometry (Visual Odometry) , back-end optimization, mapping, and loop closure detection. As shown in the picture below:

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