This is the age of technology, especially artificial intelligence. While there are many wonders of technology, we will focus on SLAM for the sake of this article. If you are unfamiliar with this term, you are on the right page. We will help you get acquainted with this technology that is going to revolutionize the world of artificial intelligence. Without further ado, let's see what it's all about. Read on to find out more.
First of all, SLAM is one of the most advanced technologies that help in the detection of the environment. This technology is used in mobile robots that perform various repetitive functions based on a virtual map.
These robots can see their position without any problem. This technology is mainly used in the world of robotics, such as unmanned aerial vehicles, unmanned aerial vehicles, automatic forklifts, unmanned aerial vehicles and cleaning robots, to name a few. In fact, you can build 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 based on navigation devices and statistical theory were then performed. Thus, research is still ongoing in this area.
In 1998, experts introduced an approach to using only one camera without sensors. As a result, this development has led to a vision-based SLAM, which uses a camera in the form of a 3D position detector.
Detection & mapping
Localization
Locating refers to the precise determination of the location of a thing. In the world of SLAM, this technology helps a machine, like a robot, when it comes to the estimated position based on visual information. It's like seeing a new place or place for the first time.
Since we do not 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 understand the parts and the direction of movement in relation to the environment. This is why they can easily perform tracking.
Mapping
Mapping is a process of analysis that helps robots gather a lot of information to create a visual image of the environment around them. To be precise, vision-based SLAM is a technology that uses cameras for mapping.
The operation of SLAM in the world of AR
Augmented reality creates a combination of virtual reality in real life. Augmented reality requires special technology to detect the environment around it. In addition, the same technology is required to detect the relative position of powerful cameras.
Therefore, we can say that SLAM plays a big role in various areas such as interaction, interface, graphics, display, location tracking and location detection, to name a few.
In short, this was a brief introduction to the role of SLAM in the augmented reality world. We hope this article will help you get a lot of information about this technology.
