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What is SLAM technology? Many novices are not very clear about this. In order to help you solve this problem, the following editor will explain it in detail. People with this need can come and learn. I hope you can gain something.

SLAM technology refers to simultaneous positioning and mapping, which means that under the condition of uncertain position, the robot creates a map in a completely unknown environment, and uses the map for autonomous positioning and navigation, so it can be known 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, locates itself according to position estimation and sensor data, and builds an incremental map at the same time.

(1) localization: the robot must know where it is in the environment.

(2) mapping: the robot must record the location of the features in the environment (if you know your location)

(3) SLAM: the robot builds the environment map while positioning. Its basic principle is the method of passing probability and statistics, which can achieve location and reduce location error through multi-feature matching.

The main modules of SLAM

Visual SLAM is mainly divided into several modules: data acquisition, visual odometer (Visual Odometry), back-end optimization, mapping (Mapping), closed-loop detection (Loop closure detection). As shown in the following figure:

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