The main aim of deploying vision sensors in our robot is to detect objects and navigate the robot through an environment. SLAM is a algorithm that is used in mobile robots to build up a map of an unknown environment or update a map within a known environment by tracking the current location of the robot.
Maps are used to plan the robot's trajectory and to navigate through this path. Using maps, the robot will get an idea about the environment. The two main challenges in mobile robot navigation are mapping and localization.
Mapping involves generating a profile of obstacles around the robot. Through mapping, the robot will understand what the world looks like. Localization is the process of estimating the position of the robot relative to the map we build.
SLAM fetches data from different sensors and uses it to build maps. The 2D/3D vision...
