Invention Grant
- Patent Title: Hybrid-view LIDAR-based object detection
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Application No.: US17067135Application Date: 2020-10-09
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Publication No.: US11885910B2Publication Date: 2024-01-30
- Inventor: Carlos Vallespi-Gonzalez , Ankit Laddha , Gregory P. Meyer , Eric Randall Kee
- Applicant: UATC, LLC
- Applicant Address: US PA Pittsburgh
- Assignee: UATC, LLC
- Current Assignee: UATC, LLC
- Current Assignee Address: US PA Pittsburgh
- Agency: Dority & Manning, P.A.
- Main IPC: G01S7/41
- IPC: G01S7/41 ; G01S7/4861 ; G01S13/931 ; G01S7/48 ; G01S13/89 ; G01S13/86 ; G01S17/931 ; G06F18/2413 ; G06V10/764 ; G06V10/82

Abstract:
Systems and methods for detecting and classifying objects proximate to an autonomous vehicle can include a sensor system and a vehicle computing system. The sensor system includes at least one LIDAR system configured to transmit ranging signals relative to the autonomous vehicle and to generate LIDAR data. The vehicle computing system receives the LIDAR data from the sensor system. The vehicle computing system also determines at least a range-view representation of the LIDAR data and a top-view representation of the LIDAR data, wherein the range-view representation contains a fewer number of total data points than the top-view representation. The vehicle computing system further detects objects of interest in the range-view representation of the LIDAR data and generates a bounding shape for each of the detected objects of interest in the top-view representation of the LIDAR data.
Public/Granted literature
- US20210025989A1 HYBRID-VIEW LIDAR-BASED OBJECT DETECTION Public/Granted day:2021-01-28
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