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SLAM: The Primary Technology Behind AR

If SLAM is a new term to you and you want to know more about it, you are on the right page. SLAM is a new technology that is employed to enable a mobile robot for vehicles to detect the surrounding environment. The idea is to spot its position on the map. Primarily, this technology is associated with robotics, but it can also be employed in a lot of other devices and machines, such as drones, automatic aerial vehicles, automatic forklifts, and robot cleaners just to name a few. Let’s get a deeper insight into this technology.

The Advent of SLAM

In 1995, SLAM was introduced for the first time at the International Symposium on Robotics Research. In 1986, a mathematical definition was presented at the IEEE Robotics and Automation Conference. After the conference, studies were carried out in order to find more about the navigation devices and statistical theories.

After more than a decade, experts introduced a method to implement one camera to achieve the same goal instead of using multiple sensors. As a result, these efforts led to the creation of vision-based SLAM. This system used cameras in order to get a three-dimensional position.

Without any doubt, this was a great achievement of that era. Since then, we have seen the application of these systems in a number of areas.

The Core, Mapping, and localization of SLAM

Now, let’s find out more about mapping, localization, and the core of SLAM systems. This will help you find out more about this technology and have a better understanding of how it is proven beneficial.

Localization

Localization can help you figure out where you are. Basically, SLAM gives you an estimation of the location on the basis of visual information. It is like when you come across a weird place for the first time.

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