Positional Tracker Juggles Virtual And Augmented Environments

uSens, Inc. unveils a Simultaneous Localization and Mapping (SLAM) based mobile inside-out 6DOF positional tracking solution that’s designed from the ground up for mobile devices through advanced machine learning and computer vision techniques. The lightweight algorithm is said to be faster, more accurate, and has lower latency than other mobile tracking solutions. SLAM provides developers with another solution to create content that allows users to feel present and immersed in virtual worlds.

 

SLAM is a series of computations and algorithms that constructs a virtual map of an environment, which can then be augmented with useful and value-adding digital content depending on your location within this space. uSens' marker-less, inside-out mobile SLAM tracks a user's location by continuously scanning and 'learning' about their environment through camera imaging. This allows a user's position to be tracked in unknown and changing environments, which is a requirement and a far better user experience on mobile.

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Marker-based or outside-in SLAM, utilized by gaming-focused hardware, requires markers or sensors to be placed around a room in order to interact with the ARVR system or Head Mounted Display (HMD) cameras. This is not possible in wide-scale mobile virtual experiences, as the fixed positions of the markers cannot adapt to changing environments.

 

Learn more about SLAM by watching a video demo and visiting the uSens website.

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