This is the age of technology, especially artificial intelligence. While there are numerous marvels of technology out there, we’re 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 familiarize yourself with this technology that is going to revolutionize the world of artificial intelligence. Without further ado, let’s see what it’s all about. Keep reading to know more.
Primarily, 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. Primarily, this technology is used in the world of robotics such as drones, UAVs, 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 were done based on navigation devices and statistical theory. Therefore, the investigation is still ongoing 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 pointing out the location of something. In the world of SLAM, this technology helps a machine like a robot when it comes to estimated location based on visual information. It’s like 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’re in a new city or country. The good thing about robots is that they can easily figure out the parts and direction of movement in relation 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 world of AR
Augmented reality creates a combination of the virtual image in real life. For augmented reality, specific technology is needed to sense the environment around you. In addition, the same technology is required to detect the relevant position of the powerful cameras.
Thus, we can say that SLAM plays a great role in a number of areas like interaction, interface, graphics, display, location tracking, and location detection to name a few.
In a nutshell, 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.
