Invention Grant
- Patent Title: Machine learning techniques for precise position determination
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Application No.: US17987409Application Date: 2022-11-15
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Publication No.: US11887007B2Publication Date: 2024-01-30
- Inventor: Jeongsik Choi , Venkatesan Nallampatti Ekambaram , Yang-Seok Choi
- Applicant: Intel Corporation
- Applicant Address: US CA Santa Clara
- Assignee: Intel Corporation
- Current Assignee: Intel Corporation
- Current Assignee Address: US CA Santa Clara
- Agency: Akona IP PC
- Main IPC: G06N3/08
- IPC: G06N3/08 ; G06N3/084 ; G06N3/04 ; G01S5/02 ; G01S5/14 ; H04W24/08 ; H04B7/06

Abstract:
Systems, methods, computer program products, and apparatuses to determine, by a neural network based on training data related to wireless signals exchanged by a device and a plurality of wireless access points in an environment, a respective distance between the device and each wireless access point, receive location data related to a respective location of each wireless access point of the plurality of wireless access points, determine a geometric cost of the neural network based on a geometric cost function, the respective distances, and the received location data, and train a plurality of values of the neural network based on a backpropagation and the determined geometric cost.
Public/Granted literature
- US20230101962A1 MACHINE LEARNING TECHNIQUES FOR PRECISE POSITION DETERMINATION Public/Granted day:2023-03-30
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