Driving event classification system

• US 10,417,838 B2
• Filed: 10/16/2013
• Issued: 09/17/2019
• Est. Priority Date: 10/16/2012
• Status: Active Grant

• Current Assignee: Appy Risk Technologies Limited (Trak Global Group Ltd.)
• Original Assignee: Appy Risk Technologies Limited (Trak Global Group Ltd.)
• Inventors: Basir, Otman A, Miners, William Ben, Jamali, Seyed Hamidreza
• Primary Examiner(s): Black, Thomas G
• Assistant Examiner(s): Thomas, Ana D
• Application Number:
  US14/055,407
• Publication Number:
  US 20140148972A1
• Time in Patent Office: 2,162 Days
• CPC Class Codes: G07C 5/008 communicating information to a remotely located station transmission systems for measured values G08C
• CPC Class Codes: G07C 5/0841 Registering performance data recording measured values G01D; information storage G11B

Abstract

This vehicle monitoring system provides a plurality of sensors in the vehicle recording performance of the vehicle. A processor (remote or on-board) receives data from the sensors. The processor classifies the data from the at least one sensor as an event in one of a plurality of classifications. The processor associates at least one parameter with the classification.

Claims

1. A vehicle monitoring system comprising:

at least one sensor in the vehicle, the at least one sensor recording performance of the vehicle; and

a processor receiving data from the at least one sensor, the processor classifying the data from the at least one sensor as an event in one of a plurality of classifications, the processor associating at least one parameter with the event within the one of the plurality of classifications, wherein the processor is programmed to adapt the plurality of classifications based upon data from a plurality of vehicles including the vehicle.

2. The vehicle monitoring system of claim 1 wherein the event is classified as a harsh braking event and wherein the parameter is a severity of the harsh braking event.

3. The vehicle monitoring system of claim 2 wherein the processor is programmed to evaluate a plurality of severities of a plurality of harsh braking events and store the plurality of severities in association with each of the plurality of harsh braking events.

4. The vehicle monitoring system of claim 2 wherein the processor is programmed to assign a level of confidence to the classification of the event based upon the data.

5. The vehicle monitoring system of claim 1 wherein the at least one sensor includes an accelerometer and a vehicle speed sensor.

7. The vehicle monitoring system of claim 5 wherein the processor is programmed to compare data from the accelerometer and the vehicle speed sensor to determine that the vehicle is travelling on an on-ramp or an off-ramp.

9. The vehicle monitoring system of claim 1 wherein the processor is on-board the vehicle.

10. The vehicle monitoring system of claim 9 wherein the processor is programmed to optimize compression of the data based upon historical data and to transmit the compressed data to a remote server.

11. The vehicle monitoring system of claim 1 wherein the processor is located remotely from the vehicle.

6. A vehicle monitoring system comprising:

at least one sensor in the vehicle, the at least one sensor recording performance of the vehicle, wherein the at least one sensor includes an accelerometer and a vehicle speed sensor; and

a processor receiving data from the at least one sensor, the processor classifying the data from the at least one sensor as an event in one of a plurality of classifications, the processor associating at least one parameter with the event within the one of the plurality of classifications, wherein the processor is programmed to compare data from the accelerometer and the vehicle speed sensor to determine a type of road on which the vehicle is travelling.

12. The vehicle monitoring system of claim 6 wherein the processor is programmed to determine the type of road on which the vehicle is travelling, wherein the types of road are selected from the group:

dirt road and pavement.

8. A vehicle monitoring system comprising:

at least one sensor in the vehicle, the at least one sensor recording performance of the vehicle, wherein the at least one sensor is a three-axis accelerometer; and

a processor receiving data from the at least one sensor, the processor classifying the data from the at least one sensor as an event in one of a plurality of classifications, the processor associating at least one parameter with the event within the one of the plurality of classifications, wherein the processor is programmed to evaluate the data from the three-axis accelerometer to determine unbalanced wheels of the vehicle.