Invention Application
- Patent Title: VEHICLE LIDAR SYSTEM WITH NEURAL NETWORK-BASED DUAL DENSITY POINT CLOUD GENERATOR
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Application No.: US17307377Application Date: 2021-05-04
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Publication No.: US20220358316A1Publication Date: 2022-11-10
- Inventor: Shuqing Zeng , Jordan Chipka , Yasen Hu
- Applicant: GM Global Technology Operations LLC
- Applicant Address: US MI Detroit
- Assignee: GM Global Technology Operations LLC
- Current Assignee: GM Global Technology Operations LLC
- Current Assignee Address: US MI Detroit
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06T7/70 ; G06K9/62 ; G01S17/931 ; G01S17/42 ; G01S7/48 ; B60R99/00 ; G06N3/04 ; G06N3/08

Abstract:
A vehicle system includes a lidar system that obtains an initial point cloud and obtains a dual density point cloud by implementing a first neural network and based on the initial point cloud. The dual density point cloud results from reducing point density of the initial point cloud outside a region of interest (ROI). Processing the dual density point cloud results in a detection result that indicates any objects in a field of view (FOV) of the lidar system. A controller obtains the detection result from the lidar system and controls an operation of the vehicle based on the detection result.
Public/Granted literature
- US11881028B2 Vehicle lidar system with neural network-based dual density point cloud generator Public/Granted day:2024-01-23
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