Invention Grant
- Patent Title: Reinforcement learning engine for a radar system
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Application No.: US16395208Application Date: 2019-04-25
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Publication No.: US11327156B2Publication Date: 2022-05-10
- Inventor: Matthew Paul Harrison
- Applicant: Metawave Corporation
- Applicant Address: US CA Palo Alto
- Assignee: Metawave Corporation
- Current Assignee: Metawave Corporation
- Current Assignee Address: US CA Palo Alto
- Agent Sandra Lynn Godsey
- Main IPC: G01S7/41
- IPC: G01S7/41 ; G01S13/72 ; G01S13/86 ; G01S13/931 ; G01S13/00

Abstract:
Examples disclosed herein relate to an autonomous driving system in a vehicle, including a radar system with a reinforcement learning engine to control a beam steering antenna and identity targets in a path and a surrounding environment of the vehicle, and a sensor fusion module to receive information from the radar system on the identified targets and compare the information received from the radar system to information received from at least one sensor in the vehicle.
Public/Granted literature
- US20190331768A1 REINFORCEMENT LEARNING ENGINE FOR A RADAR SYSTEM Public/Granted day:2019-10-31
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