Dynamic object detection using LiDAR data for autonomous machine systems and applications
US12373960B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 15, 2022 |
| Grant date | Jul 29, 2025 |
| Priority date | — |
| Expiry date | Jul 1, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/07
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
In various examples, systems and methods of the present disclosure detect and/or track objects in an environment using projection images generated from LiDAR. For example, a machine learning model—such as a deep neural network (DNN)—may be used to compute a motion mask indicative of motion corresponding to points representing objects in an environment. Various input channels may be provided as input to the machine learning model to compute a motion mask. One or more comparison images may be generated based on comparing depth values projected from a current range image to a coordinate space of a previous range image to depth values of the previous range image. The machine learning model may use the one or more projection images, the one or more comparison images, and/or the one or more range images to compute a motion mask and/or a motion vector output representation.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.