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What is the Role of SLAM in Augmented Reality?

What is the Role of SLAM in Augmented Reality? we are going to focus on SLAM for the sake of this article.

This is the age of technology, especially artificial intelligence. Although there are countless wonders of technology, we are going to focus on SLAM for the sake of this article. If you are not aware of this term, you are on the right page. 

We will help you get familiar with this technology that is going to bring a revolution in the world of artificial intelligence. Without additional ado, let's check out what this is all about. Read on to find out more.

What is the Role of SLAM in Augmented Reality?
Representative Image

What is SLAM?

Primarily, SLAM is one of the most advanced technologies that help detect the surrounding environment. This technology is used in mobile robots that perform different repeated operations based on a virtual map.


These robots can see their position without any problem. Primarily, this technology is used in the world of robotics, such as drones, unmanned aerial vehicles, automatic forklifts, unmanned vehicles, and robot cleaners, just to name a few. As a matter of fact, you can create a long list of devices that depend on this technology for optimal functionality.

In 1995, SLAM was used at the International Symposium on Robotics Research. Another conference held in 1986 paved the way for a mathematical definition of this technology. Afterward, tons of studies were conducted based on navigation devices and statistical theory. So, the research is still going on in this department.


In 1998, experts introduced an approach of using just one camera with no sensors. Therefore, this development resulted in a vision-based SLAM, which makes use of a camera in the form of a 3D position detector.


Localization & Mapping

Localization

Localization refers to pinpointing the location of something. In the world of SLAM, this technology helps a machine such as a robot when it comes to the estimated location based on visual information. It is as if you see a new place or spot for the first time.


Since we do not have an accurate sense of defense or distance, we may get lost, especially when we are in a new city or country. The good thing about robots is that they can quickly figure out the parts and direction of movement in the surrounding environment. This is the reason they can easily perform localization.


Mapping

Mapping refers to a process of analysis that helps robots collect a lot of information to create a visual image of the environment around them. As a matter of fact, vision-based SLAM is a technology that makes use of cameras for mapping.


The Function of SLAM in the world of AR

Augmented reality creates a combination of virtual images in real life. For augmented reality, specific technology is needed to detect the environment around it. Plus, the same technology is required to detect the powerful cameras' relevant positions.


Therefore, we can say that SLAM plays a great role in several areas like interaction, interface, graphics, display, location tracking, and location detection, to name a few.

Long story short, this was a brief introduction to the role of SLAM in the world of Augmented reality. Hopefully, this article will help you get a lot of information about this technology.


If you want to know more about AI-incorporated patents, we suggest that you read up on AI-incorporated SLAM technology.

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