Invention Grant
- 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.: US11881028B2Publication Date: 2024-01-23
- 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
- Agency: CANTOR COLBURN LLP
- Main IPC: G06V20/00
- IPC: G06V20/00 ; G06V20/56 ; G06T7/70 ; G01S17/931 ; G01S17/42 ; G01S7/48 ; G06N3/088 ; B60R99/00 ; G06F18/21 ; G06N3/045

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
- US20220358316A1 VEHICLE LIDAR SYSTEM WITH NEURAL NETWORK-BASED DUAL DENSITY POINT CLOUD GENERATOR Public/Granted day:2022-11-10
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