Systems and methods for machine learning based collision avoidance

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...

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Bibliographic Details
Main Authors Ong, Hoo Dennis, Ohlarik, Derek Wade, Iyer, Krishna Pichumani, de Andrada, Mauricio Pati Caldeira
Format Patent
LanguageEnglish
Published 27.02.2024
Subjects
ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDEDFOR ELSEWHERE
CALCULATING
CHECKING-DEVICES
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
GENERATING RANDOM NUMBERS
PHYSICS
REGISTERING OR INDICATING THE WORKING OF MACHINES
SIGNALLING
TIME OR ATTENDANCE REGISTERS
TRAFFIC CONTROL SYSTEMS
VOTING OR LOTTERY APPARATUS
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Summary: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.
Bibliography:Application Number: US202217934267