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Patent drawing for Mapping in autonomous and non-autonomous platforms
US 20,250,093,163 A1
Navigation US 20,250,093,163 A1 Not in force

Mapping in autonomous and non-autonomous platforms

This invention describes a way for robots and autonomous vehicles to know exactly where they are by creating and constantly improving a 3D map of their surroundings. It uses cameras and motion sensors to gather data, then refines the map by checking how the 3D points in the map align with what the camera sees in 2D images, correcting any errors to make the machine's location awareness faster and more accurate. The claims specifically focus on methods for correcting and refining these 3D maps.

Why it matters: The continuous improvements in visual-inertial sensor technology and edge computing capabilities since 2024 make the real-time map correction and refinement described in the claims more computationally feasible and accurate for autonomous platforms.

Status
Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build
SpecializedAdvanced algorithms, sensor integration, 3D mapping software

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