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SLAM, Core Technology of AR, What is it?

Updated: Apr 1

SLAM is a technology to detect a surrounding environment by a mobile robot or a vehicle that can control its own operation to create a virtual map, and to estimate its position within the map.

It is mainly related to robotics and can be used in robot cleaners, unmanned vehicles, automatic forklifts, unmanned aerial vehicles, drones and so on.

The Birth of SLAM

SLAM was first introduced at the International Symposium on Robotics Research in 1995. After a mathematical definition was made at the IEEE Robotics and Automation Conference in 1986, studies using statistical theory and navigation devices have been carried out.

In 1998, at the European Conference on Computer Vision, Davison and others presented a method of using only camera without any other sensors. This has led to the development of vision-based SLAM that uses camera as a three-dimensional position detector.

About SLAM’s Core, Localization & Mapping

SLAM (Simultaneous Localization And Mapping)

Role of SLAM in AR


Got a little understanding of SLAM technology?

In the following article, we will discuss how the SLAM technology is evolving, introduction to MAXST’s Visual SLAM, and practical examples using SLAM technology.

Visit YouTube channel if you want to learn more!

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