In navigation , robotic mapping and odometry for virtual reality or augmented reality , SLAM, stands for Simultaneous Localization & Mapping. It means to generates the map of a vehicle’s surroundings and locates the vehicle in that map at the same time. The SLAM system uses the depth sensor to gather a series of views (something like 3D snapshots of its environment), with approximate position and distance. Than, it stores these 3d views in memory. SLAM is a pure work of Deep Learning and Machine Learning. It could further be enhanced with the help fo Artificial Intelligence. It is the computational problem of constructing or updating a map of an unknown environment while simultaneously keeping track of an agent's location within it. [1] [2] [3] [4] While this initially appears to be a chicken-and-egg problem there are several algorithms known for solving it, at least approximately, in tract...