Simultaneous Localization and Mapping (SLAM)

SLAM

 

An important requirement in Computer Vision application involves being able to observe and understand unknown environments. This becomes especially important when one wants to augment information within an environment that is completely new. Simultaneous Localization and Mapping (SLAM) is a technique which allows a device to localize itself in an unknown environment, while at the same time creating a reference map of those surroundings.

At IT Researches we have developed our own versions of SLAM which are

accuracy – even with standard mobile devices. IT Researches SLAM enables augmenting content within unknown environments, or what is known as “3D markerless tracking”. With SLAM environments or objects can be reconstructed one time, then saved to later be used in as many applications as desired. This has unique benefits when challenged with creating augmented reality experiences for indoor environments, when other tracking configurations are not sufficient for feature extraction.

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