This is the age of technology, especially artificial intelligence. Although there are numerous marvels of technology, we are going to focus on SLAM for the sake of this article. If you are not familiar with this term, you are on the right page. We will help you become familiar with this technology that is going to be a revolution in the world of artificial intelligence. Without further ado, let’s see what this is all about. Keep reading to know more.

Mainly, SLAM is one of the most advanced technologies that help with the detection of the surrounding environment. This technology is used in mobile robots that perform different repeated operations from a virtual map.

These robots can see your position without any problem. Mainly, this technology is used in the world of robotics, such as drones, unmanned aerial vehicles, automated forklifts, unmanned vehicles, and cleaning robots, to name a few. In 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 Robotics Research Symposium. Another conference held in 1986 paved the way for a mathematical definition of this technology. Subsequently, tons of studies based on navigational devices and statistical theory were done. Therefore, research is still going on in this department.

In 1998, experts introduced an approach of using a single camera without sensors. Therefore, this development resulted in a vision-based SLAM, which makes use of a camera in the form of a 3D position detector.

Location and mapping

Location

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

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

Mapping

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

The Role of SLAM in the AR World

Augmented reality creates a combination of the virtual image in real life. For augmented reality, specific technology is needed to detect the environment around you. Furthermore, the same technology is required to detect the relevant position of the powerful cameras.

Therefore, we can say that SLAM plays a great role in a number of areas such as interaction, interface, graphics, visualization, location tracking, and location detection to name a few.

In a nutshell, 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.