Systems and methods for crash determination with noise filtering

• US 10,395,438 B2
• Filed: 08/19/2016
• Issued: 08/27/2019
• Est. Priority Date: 08/19/2016
• Status: Active Grant

• Current Assignee: CalAmp Corporation
• Original Assignee: CalAmp Corporation
• Inventors: Jenkins, Jeff, Bayley, Greg, Byrne, Peter, Chen, Gallin
• Primary Examiner(s): Berona, Kimberly S
• Assistant Examiner(s): Whalen, Michael F
• Application Number:
  US15/241,517
• Publication Number:
  US 20180053354A1
• Time in Patent Office: 1,103 Days
• Field of Search: None
• CPC Class Codes: B60R 2021/01304 monitoring rough road condition
• CPC Class Codes: B60R 21/013 including means for detecting collisions, impending collisions or roll-over
• CPC Class Codes: B60R 21/01332 by frequency or waveform analysis
• 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
• CPC Class Codes: H04L 67/01 Protocols
• CPC Class Codes: H04L 67/12 specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
• CPC Class Codes: H04W 4/02 Services making use of location information
• CPC Class Codes: H04W 4/027 using movement velocity, acceleration information
• CPC Class Codes: H04W 4/44 for communication between vehicles and infrastructures, e.g. vehicle-to-cloud [V2C] or vehicle-to-home [V2H]

Abstract

Embodiments of the invention include a vehicle telematics system including a telematics device and a remote server system, wherein the telematics device obtains sensor data from at least one sensor installed in a vehicle, calculates peak resultant data based on the sensor data, generates crash score data based on the peak resultant data and a set of crash curve data for the vehicle, and provides the obtained sensor data when the crash score data exceeds a crash threshold to the remote server system and the remote server system obtains vehicle sensor data and vehicle identification data from the vehicle telematics device, calculates resultant change data and absolute speed change data based on the obtained sensor data and/or the vehicle identification data, and generates crash occurred data when the resultant change data exceeds a first threshold value and when the absolute speed change data is below a second threshold value.

Claims

1. A vehicle telematics system, comprising:

a telematics device comprising at least one sensor having an accelerometer, a processor and a memory storing a crash determination application; and

a remote server system comprising a processor and a memory coupled to the processor and storing a crash analysis application and a class of the vehicle;

wherein the processor of the telematics device, on reading the memory, is directed to;

obtain sensor data from the at least one sensor;

calculate peak resultant data based on the sensor data, wherein the peak resultant data describes the acceleration of the vehicle over a first time period;

dynamically determine a set of crash curve data based on the class of the vehicle;

generate crash score data based on the peak resultant data and the set of crash curve data for the vehicle, wherein the crash score data describes the likelihood that the vehicle was involved in a crash based on the class of the vehicle and the sensor data; and

provide the obtained sensor data when the crash score data exceeds a crash threshold to the remote server system; and

wherein the processor of the remote server system, on reading the crash analysis application, is directed to;

in response to the crash source data exceeding the crash threshold, receive the obtained sensor data from the vehicle telematics device;

obtain vehicle identification data from the vehicle telematics device;

calculate resultant velocity change based on the obtained sensor data and the vehicle identification data;

calculate absolute speed change data based on the obtained sensor data; and

generate crash occurred data when the resultant velocity change exceeds a first threshold value and when the absolute speed change is below a second threshold value; and

generate a false positive non-crash event when an oscillating event is detected that decreases in magnitude over time and storing the obtained sensor data from the vehicle telematics device.

2. The vehicle telematics system of claim 1, wherein the at least one sensor comprises an accelerometer.

3. The vehicle telematics system of claim 1, wherein the crash curve data is based on vehicle data comprising a vehicle identification number associated with the vehicle.

4. The vehicle telematics system of claim 1, wherein the class of the vehicle is based on at least one of:

a height of the vehicle;

a length of the vehicle;

or

a wheelbase of the vehicle.

5. The vehicle telematics system of claim 4, wherein the at least one sensor comprises a weight sensor.

6. The vehicle telematics system of claim 1, wherein:

the vehicle telematics system further comprises a communications interface; and

the vehicle telematics unit obtains the sensor data by using the communications interface.

7. The vehicle telematics system of claim 1, wherein the set of crash curve data is provided by the remote server system.

8. The vehicle telematics system of claim 1, wherein the absolute speed change data is calculated by taking the absolute value of an integral of the sensor data indicating acceleration data in a forward vector.

9. The vehicle telematics system of claim 1, wherein the absolute speed change data is calculated by taking the absolute value of the integral of the sensor data indicating acceleration data in a lateral vector.

10. The vehicle telematics system of claim 1, wherein the crash score data is generated by:

calculating peak resultant data based on the obtained sensor data; and

calculating the crash score data based on a duration of time in which the peak resultant data exceeds the crash curve data.

11. A method for determining if a vehicle has been involved in a crash, comprising:

obtaining sensor data from at least one sensor installed in the vehicle by using a vehicle telematics device, wherein the at least one sensor includes an accelerometer, and wherein the vehicle telematics device comprises a processor and a memory storing a class of the vehicle;

calculating peak resultant data based on the sensor data by using the vehicle telematics device, wherein the peak resultant data describes the acceleration of the vehicle over a first time period;

dynamically determining a set of crash curve data based on the class of the vehicle;

generating crash score data based on the peak resultant data and the set of crash curve data for the vehicle by using the vehicle telematics device, wherein the crash score data describes the likelihood that the vehicle was involved in a crash based on the class of the vehicle and the sensor data;

providing the obtained sensor data when the crash score data exceeds a crash threshold to a remote server system using the vehicle telematics device, wherein the remote server system comprises a processor and a memory;

obtaining vehicle sensor data from the vehicle telematics device by using the remote server system;

obtaining vehicle identification data from the vehicle telematics device by using the remote server system;

calculating resultant velocity change based on the obtained sensor data and the vehicle identification data by using the remote server system;

calculating an absolute speed change based on the obtained sensor data by using the remote server system; and

generating crash occurred data when the resultant velocity change exceeds a threshold value and when the absolute speed change is below a second threshold value by using the remote server system and;

generating a false-positive non-crash event when an oscillating event is detected that decreases in magnitude over time and storing the obtained vehicle sensor data from the vehicle telematics device.

12. The method of claim 11, wherein the at least one sensor comprises an accelerometer.

13. The method of claim 11, wherein the crash curve data is based on vehicle data comprising a vehicle identification number associated with the vehicle.

14. The method of claim 11, wherein the class of the vehicle is based on at least one of:

a height of the vehicle;

a length of the vehicle;

or

a wheelbase of the vehicle.

15. The method of claim 14, wherein the at least one sensor comprises a weight sensor.

16. The method of claim 11, wherein:

the vehicle telematics system further comprises a communications interface; and

the vehicle telematics unit obtains the sensor data by using the communications interface.

17. The method of claim 11, wherein the set of crash curve data is provided by the remote server system.

18. The method of claim 11, wherein the absolute speed change data is calculated by taking the absolute value of the integral of the sensor data indicating acceleration data in a forward vector.

19. The method of claim 11, wherein the absolute speed change data is calculated by taking the absolute value of the integral of the sensor data indicating acceleration data in a lateral vector.

20. The method of claim 11, wherein the crash score data is generated by:

calculating peak resultant data based on the obtained sensor data by using the vehicle telematics device; and

calculating the crash score data based on a duration of time in which the peak resultant data exceeds the crash curve data by using the vehicle telematics device.