This is the age of technology, especially artificial intelligence. Although there are many wonders of technology, we will focus on SLAM for this article. If you are not familiar with this term, you are on the right page. We will help you learn about this technology that will revolutionize the world of artificial intelligence. Without further ado, let’s check all this out. Read on to find out more.
Basically, SLAM is one of the most advanced technologies that help in detecting the surrounding environment. This technology is used in mobile robots that perform various repetitive operations based on a virtual map.
These bots can see their positions without any problem. Primarily, this technology is used in the world of robotics, such as drones, unmanned aerial vehicles, automated forklifts, unmanned vehicles, and robot cleaners, to name a few. As a matter of fact, you can create a long list of devices that rely on this technology for optimal functionality.
localization and mapping
Localization refers to locating something. In the SLAM world, this technology helps a machine like a robot when it comes to an estimated location based on visual information. It is as if you are seeing a new place or spot for the first time.
Because we don’t have an accurate sense of defense or distance, we can get lost, especially when we’re in a new city or country. The good thing about robots is that they can easily tell parts and direction of movement in relation to the surrounding environment. This is the reason why they can easily perform localization.
Mapping refers to the analysis process that helps robots gather a lot of information to create a visual picture of the environment around them. In fact, vision-based SLAM is a technology that uses cameras for mapping.
SLAM function in the world of augmented reality
Augmented reality creates a mixture of virtual images in the real life. For augmented reality, specific technology is needed to detect the environment around it. In addition, the same technology is required to detect the proper placement of powerful cameras.
Therefore, we can say that SLAM plays a huge role in a number of areas such as interaction, interface, graphics, display, location tracking, and location discovery, to name a few.
Long story short, this was a brief introduction to SLAM’s role in the world of augmented reality. We hope this article helped you get a lot of information about this technique.