Invention Grant
- Patent Title: Enhanced target detection
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Application No.: US17509227Application Date: 2021-10-25
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Publication No.: US11851068B2Publication Date: 2023-12-26
- Inventor: Sandhya Bhaskar , Nikita Jaipuria , Jinesh Jain , Vidya Nariyambut Murali , Shreyasha Paudel
- Applicant: Ford Global Technologies, LLC
- Applicant Address: US MI Dearborn
- Assignee: Ford Global Technologies, LLC
- Current Assignee: Ford Global Technologies, LLC
- Current Assignee Address: US MI Dearborn
- Agency: Bejin Bieneman PLC
- Agent Frank A. MacKenzie
- Main IPC: B60W40/04
- IPC: B60W40/04 ; G06T7/50 ; G06T7/20 ; B60W30/09

Abstract:
Image data are input to a machine learning program. The machine learning program is trained with a virtual boundary model based on a distance between a host vehicle and a target object and a loss function based on a real-world physical model. An identification of a threat object is output from the machine learning program. A subsystem of the host vehicle is actuated based on the identification of the threat object.
Public/Granted literature
- US20230128947A1 ENHANCED TARGET DETECTION Public/Granted day:2023-04-27
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