Invention Application
- Patent Title: SYSTEMS AND METHODS FOR MACHINE LEARNING BASED COLLISION AVOIDANCE
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Application No.: US17934267Application Date: 2022-09-22
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Publication No.: US20230019376A1Publication Date: 2023-01-19
- Inventor: Derek Wade Ohlarik , Mauricio Pati Caldeira de Andrada , Krishna Pichumani Iyer , Hoo Dennis Ong
- Applicant: Verizon Patent and Licensing Inc.
- Applicant Address: US NJ Basking Ridge
- Assignee: Verizon Patent and Licensing Inc.
- Current Assignee: Verizon Patent and Licensing Inc.
- Current Assignee Address: US NJ Basking Ridge
- Main IPC: G08G1/00
- IPC: G08G1/00 ; G06N20/00 ; G07C5/00 ; G08G1/07 ; G06N5/04

Abstract:
A device may include a memory storing instructions and processor configured to execute the instructions to receive information relating to a plurality of vehicles in an area. The device may be further configured to use a trained machine learning model to determine a likelihood of collision by one or more of the plurality of vehicles; identify one or more relevant vehicles of the plurality of vehicles that are in danger of collision based on the determined likelihood of collision; and send an alert indicating the danger of collision to at least one of the identified one or more relevant vehicles.
Public/Granted literature
- US11915593B2 Systems and methods for machine learning based collision avoidance Public/Granted day:2024-02-27
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