SLAM, or simultaneous localization and mapping, is a well-studied computational problem that involves updating an environment map while keeping track of an agent’s location. (Typically, said agent is ...
Robotics and headsets or goggles are the most common hardware devices requiring AR/VR/mixed reality, and AR is coming to mobile phones, tablets, and automobiles as well. For hardware devices to see ...
Point cloud map generated with Kudan Visual SLAM. A part of the navigation environment is shown in bottom left. The green marks (top left) show some of the generated ...
Dublin, Jan. 29, 2024 (GLOBE NEWSWIRE) -- The "Growth Opportunity Analysis of SLAM Technology in Imaging Applications" report has been added to ResearchAndMarkets.com's offering. Simultaneous ...
Simultaneous Localization and Mapping (SLAM) uses observations to construct a graph, which often contains both environments (mapping), and robot trajectories (localization). RoCAL focuses on building ...
Magic Leap, the mysterious AR startup with a multiple-billion dollar valuation, still doesn’t have a headset to show the world, but in a recent paper published by Magic Leap researchers entitled ...
SLAMcore, a leader in Visual SLAM and Spatial AI systems that are essential for autonomous robot navigation has been added to the Intel RealSense software programme. SLAMcore’s are the first ...
BVI researchers Andrew Calway and Walterio Mayol-Cuevas have developed efficient and robust algorithms for Simultaneous Localization And Mapping (SLAM). Visual SLAM is a technology that provides fast ...
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