I drew a diagram of the SLAM Abstract Model which abstracted and simplied the SLAM procedure, friends who are interested in this are welcome to discuss.
Thank you for sharing to us, It is simple and detailed SLAM abstract model that may be someone is looking for, However, I would like to elaborate and add an additional details to that model.
SLAM (simultaneous localization and mapping) is a technology for autonomous vehicles that allows you to construct a map while also localizing your vehicle inside that map. The car can map out unfamiliar environments using SLAM methods.
Most visual SLAM systems function by tracking predefined points across successive camera frames to triangulate their 3D position while also estimating camera posture. Unlike other kinds of SLAM technology, this is doable with a single 3D vision camera.
A SLAM is made up of three parts: sensors, SLAM algorithms, and exploration algorithms. SLAM systems collect data by using reference locations. SLAM is mostly used in robotics, topography, and other fields.
Acoustic sensors, laser rangefinders, and optical sensors are the three principal types of sensors used in modern SLAM technology. Acoustic sensors measure position using the Time of Flight (TOF) approach.
In this interesting discussion I suggest a tutorial that I assume for my part intended for beginners and specialists although the authors are dedicated to dummies.