View source for Visual simultaneous localization and mapping (vSLAM) modules

Visual Simultaneous Localization and Mapping, or vSLAM, is a variant of the general SLAM problem where the primary sensor data comes from a camera or multiple cameras. This technique uses visual information to create a map of the environment while also keeping track of the robot's location within the map.

The "modules" in a vSLAM system might refer to the individual components or stages of the vSLAM process. The exact modules can vary depending on the specific vSLAM algorithm.