What is vSLAM (visual Simultaneous Localization and Mapping)?

vSLAM is a type of SLAM (Simultaneous Localization and Mapping) algorithm that relies primarily on visual data captured by cameras to simultaneously build a map of an unknown environment and determine the robot’s location within it. Unlike traditional SLAM approaches that may use LiDAR or sonar sensors, vSLAM uses inputs from monocular, stereo, or RGB-D cameras to track visual features such as edges, corners, or textures in real time.