Machine learning techniques for classifying driver behavior

US11688212B2 · kind B2 · utility

Assignee

• Upstream Security, Ltd. · IL

Inventors

• Yonatan Appel · Ramat HaSharon, IL
• Yoav Levy · Kiryat Bialik, IL

Key dates

• Filing date: Oct 30, 2018
• Grant date: Jun 27, 2023
• Expiry date: Nov 13, 2039

Classification

• Technology area (CPC G): Physics
• CPC primary: G07C5/008
• WIPO field: Control
• WIPO sector: Instruments

Abstract

A system and method for classifying driving behavior. The method includes training, via a supervised machine learning process, a classifier using a labeled training data set including at least one set of training features and corresponding training labels, wherein the classifier is trained to classify driving behavior, wherein the training features include training vehicle telemetries, wherein the training labels include at least one of driver labels and vehicle labels; and applying the classifier to an application data set including a plurality of application features to output a classification of driving behavior based on the application features, wherein the application features are extracted from application data including application vehicle telemetries for a vehicle.