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...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser:	Ong, Hoo Dennis, Ohlarik, Derek Wade, Iyer, Krishna Pichumani, de Andrada, Mauricio Pati Caldeira
Format:	Patent
Sprache:	eng
Schlagworte:	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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Beschreibung
Zusammenfassung:	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.