System and method of capturing three-dimensional human motion capture with LiDAR
US12270910B2 · kind B2 · utility
Assignees
Inventors
Key dates
| Filing date | Aug 9, 2022 |
| Grant date | Apr 8, 2025 |
| Priority date | — |
| Expiry date | Jun 30, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG01S7/4808
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Described herein are systems and methods for training machine learning models to generate three-dimensional (3D) motions based on light detection and ranging (LiDAR) point clouds. In various embodiments, a computing system can encode a machine learning model representing an object in a scene. The computing system can train the machine learning model using a dataset comprising synchronous LiDAR point clouds captured by monocular LiDAR sensors and ground-truth three-dimensional motions obtained from IMU devices. The machine learning model can be configured to generate a three-dimensional motion of the object based on an input of a plurality of point cloud frames captured by a monocular LiDAR sensor.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.