Lidar-based classification of object movement
AssigneeUber Technologies, Inc.
InventorAaron Matthew Rogan
Life of this patent
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AssigneeUber Technologies, Inc.
InventorAaron Matthew Rogan
Estimating the term…
Within machine vision, object movement is often estimated by applying image evaluation techniques to visible light images, utilizing techniques such as perspective and parallax. However, the precision of such techniques may be limited due to visual distortions in the images, such as glare and shadows. Instead, lidar data may be available (e.g., for object avoidance in automated navigation), and may serve as a high-precision data source for such determinations. Respective lidar points of a lidar point cloud may be mapped to voxels of a three-dimensional voxel space, and voxel clusters may be identified as objects. The movement of the lidar points may be classified over time, and the respective objects may be classified as moving or stationary based on the classification of the lidar points associated with the object. This classification may yield precise results, because voxels in three-dimensional voxel space present clearly differentiable statuses when evaluated over time.
A method comprising:
A system for detecting movement of objects depicted in a lidar point cloud on a device comprising one or more processors, the system comprising:
A computer-readable storage medium comprising instructions that, when executed on one or more processors of a device, cause the device to detect movement of objects depicted in a lidar point cloud by:
Dependencies are inferred from the claim text.