What Is the Role of SLAM in the World of Augmented Reality

This is the era of technology, especially artificial intelligence. Although there are many marvels of technology, for the sake of this article we will focus on SLAM. If you are not familiar with this term, you are on the right page. We will help you get to know this technology that will revolutionize the world of artificial intelligence. Without further ado, let's see what it's all about. Read on to learn more.

Primarily, SLAM is one of the most advanced technologies that help with environmental detection. This technology is used in mobile robots that perform various repetitive operations based on a virtual map.

These robots see their position without problems. This technology is mainly used in the world of robotics such as drones, drones, automated forklifts, unmanned vehicles and robotic cleaners 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 Symposium on Robotics Research. Another conference held in 1986 paved the way for a mathematical definition of this technology. Tons of studies were then done based on navigational devices and statistical theory. Therefore, research in this department is still ongoing.

In 1998, experts introduced the approach of using only one camera without sensors. Therefore, this development resulted in the vision of SLAM, which uses a camera in the form of a 3D position detector.

Localization and mapping

Localization

Localization refers to pinpointing the location of something. In the world of SLAM, this technology helps a machine like a robot to estimate location based on visual information. It is like seeing a new place or place for the first time.

Because we don't have an accurate sense of defense or distance, we can get lost, especially when in a new city or country. The good thing about robots is that they can easily detect parts and direction of movement in relation to the surrounding environment. This is why they can do localization easily.

Mapping

Mapping refers to the analysis process that helps robots gather a lot of information to create a visual representation of their surroundings. In fact, SLAM is a vision-based technology that uses cameras for mapping.

SLAM functionality in the AR world

Augmented reality creates a combination of a virtual image in real life. Augmented reality requires specific technology to detect the surrounding environment. In addition, the same technology is required to detect the relevant position of powerful cameras.

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

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