Invention Grant
- Patent Title: Self-learning, noise filtering of radar used for automotive applications
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Application No.: US16296878Application Date: 2019-03-08
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Publication No.: US11435441B2Publication Date: 2022-09-06
- Inventor: Carter J. Hurd , Jeffrey A. Clark
- 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: E05F15/40
- IPC: E05F15/40 ; G01S7/41

Abstract:
Embodiments include methods, systems and computer readable storage medium for a method for operating one or more doors of a vehicle is disclosed. The method includes receiving, by at least one radar sensor on the vehicle, input data related to one or more objects. The method further includes filtering, by the at least one radar sensor, vehicle environment noise from the received input. The method further includes identifying, by the at least one radar sensor, an external environment for the vehicle based on the filtered input. The method further includes operating, by a processor, one or more doors of the vehicle based on the external environment for the vehicle.
Public/Granted literature
- US20200284876A1 SELF-LEARNING, NOISE FILTERING OF RADAR USED FOR AUTOMOTIVE APPLICATIONS Public/Granted day:2020-09-10
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