What is the slam algorithm?

Slam algorithm is an algorithm to realize robot positioning, map creation and path planning.

SLAM was originally used to locate robots in robotics. The earliest SLAM algorithm didn't actually use a visual camera. In robotics, SLAM generally uses a laser rangefinder.

One of the reasons is that SLAM requires high real-time. In order to solve the problem more accurately, stably and reliably, and apply to various scenarios, it generally requires a large amount of calculation. At present, the computing power of mobile devices is not enough to support such a large amount of computing. In order to achieve real-time performance, it is often necessary to make some sacrifices in accuracy and stability.

Algorithm:

Refers to the accurate and complete description of the solution, which is a series of clear instructions to solve the problem, and the algorithm represents a systematic method to describe the strategy mechanism to solve the problem.

That is to say, for a certain standard input, the required output can be obtained in a limited time. If an algorithm is flawed or not suitable for a problem, executing this algorithm will not solve the problem. Different algorithms may use different time, space or efficiency to accomplish the same task. The advantages and disadvantages of an algorithm can be measured by space complexity and time complexity.