Geotab Incorporated

Giordano Aldo Arezza

Michael Angelo David Santorelli

Lourd Arun Raj

Young Seok Shin

Nadia Sophia Stefopulos

Giuliano Roberto Barrella Garcia

Gagandeep Bedi

Systems and methods for detecting and removing erroneous tire pressure values are provided. The method involves operating at least one processor to: receive tire pressure data comprising a time series of tire pressure values; simplify the tire pressure data by removing at least some of the tire pressure values that satisfy a predetermined interpolation error threshold; detect, using a trained machine learning classifier, at least one erroneous tire pressure value in the tire pressure data, each erroneous tire pressure value being detected based on the erroneous tire pressure value and a plurality of lagging tire pressure values consecutively trailing the erroneous tire pressure value; clean the tire pressure data by removing the at least one erroneous tire pressure value; and transmit the tire pressure data to a fleet management system, whereby the at least one erroneous tire pressure value is not transmitted to the fleet management system.

Systems and methods for detecting and removing erroneous tire pressure values

Systems, methods, devices, and models determining fuel level in vehicles are described. Raw fuel sensor data tends to be noisy and of low quality. Herein, operational data is collected, which is used to determine times when motion of the vehicle is stable. Raw fuel sensor data for these times is collected in a data subset, which is used to determine fuel level. Quality fuel sensor data is thus obtained. Fuel data can be combined over different time periods to provide a prompt initial fuel level, and an intermittent fuel level during a trip.

Systems for determining fuel level

Growing community of inventors

Maple, Canada

Giordano Aldo Arezza