1. Promising AR algorithms and application challenges
Today, the main algorithmic challenges of embedded augmented reality are linked to 3D recognition of the indoor and outdoor environment, and precise localization of the observer.
Simultaneous mapping and localization for onboard AR
Simultaneous mapping and localization (SLAM) algorithms have literally revolutionized the field of mobile robotics over the last ten years.
SLAM (Simultaneous Localisation and Mapping) is a set of computer vision algorithms designed to construct a map of an environment unknown to a moving observer, while estimating its relative position with respect to this map.
Robotic platforms offered a sufficiently powerful computing skeleton and sensors of all kinds, including an environmental...
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Promising AR algorithms and application challenges
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"Signal processing and its applications"
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