IP Library Granted Patent US 10,055,909
Granted Patent B2
US 10,055,909 · App. 15/205,385 · Granted Aug 21, 2018

Systems and methods for crash determination

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Quick Facts
Patent No.
US 10,055,909
App. No.
15/205,385
Granted
Aug 21, 2018
Kind
B2
Abstract

Systems and methods for crash determination in accordance with embodiments of the invention are disclosed. In one embodiment, a vehicle telematics device includes a processor and a memory storing a crash determination application, wherein the processor, on reading the crash determination application, is directed to obtain sensor data from at least one sensor installed in a vehicle, calculate peak resultant data based on the sensor data, where the peak resultant data describes the acceleration of the vehicle over a first time period, generate crash score data based on the peak resultant data and a set of crash curve data for the vehicle, where the crash score data describes the likelihood that the vehicle was involved in a crash based on the characteristics of the vehicle and the sensor data, and provide the obtained sensor data when the crash score data exceeds a crash threshold to a remote server system.

Claims (58)

1. A vehicle telematics device, comprising:

at least one sensor including an accelerometer;

a processor; and

a memory connected to the processor and storing a crash determination application and a class of the vehicle;

wherein the processor, 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, where 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, where 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 a remote server system.

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

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

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

the vehicle telematics system further comprises a communications interface; and

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

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

8. The vehicle telematics device of claim 1 , wherein:

the remote server system comprises a processor and a memory storing a crash analysis application; and

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

obtain vehicle sensor data from the vehicle telematics device;

obtain vehicle identification data from the vehicle telematics device;

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

generate crash occurred data when the resultant change data exceeds a threshold value.

9. The vehicle telematics device of claim 8 , wherein the processor of the remote server system is further directed to provide notification data comprising the crash occurred data.

10. The vehicle telematics device 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 when 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, where the at least one sensor includes an accelerometer, and where 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 using the vehicle telematics device, where 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, where 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

providing the obtained sensor data when the crash score data exceeds a crash threshold to a remote server system using 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 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 , further comprising:

obtaining vehicle sensor data from the vehicle telematics device using a remote server system comprising a processor and a memory;

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

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

generating crash occurred data when the resultant change data exceeds a threshold value using the remote server system.

19. The method of claim 18 , further comprising providing notification data comprising the crash occurred data using the remote server system.

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

calculating peak resultant data based on the obtained sensor data 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 using the vehicle telematics device.

Assignments (7)
RELEASE OF SECURITY INTEREST Recorded Aug 14, 2024
From: THE BANK OF NEW YORK MELLON TRUST COMPANY, N.A.
To: CALAMP CORP.; CALAMP WIRELESS NETWORKS CORPORATION; SYNOVIA SOLUTIONS LLC
Reel/Frame 068604/0284 →
PATENT SECURITY AGREEMENT Recorded Dec 18, 2023
From: CALAMP CORP.; CALAMP WIRELESS NETWORKS CORPORATION; SYNOVIA SOLUTIONS LLC
To: LYNROCK LAKE MASTER FUND LP [LYNROCK LAKE PARTNERS LLC, ITS GENERAL PARTNER]
Reel/Frame 066061/0946 →
PATENT SECURITY AGREEMENT Recorded Dec 18, 2023
From: CALAMP CORP.; CALAMP WIRELESS NETWORKS CORPORATION; SYNOVIA SOLUTIONS LLC
To: THE BANK OF NEW YORK MELLON TRUST COMPANY, N.A.
Reel/Frame 066062/0303 →
RELEASE OF SECURITY INTEREST Recorded Dec 18, 2023
From: PNC BANK, NATIONAL ASSOCIATION
To: CALAMP CORP
Reel/Frame 066059/0252 →
SECURITY INTEREST Recorded Jul 14, 2022
From: CALAMP CORP.; CALAMP WIRELESS NETWORKS CORPORATION; SYNOVIA SOLUTIONS LLC
To: PNC BANK, NATIONAL ASSOCIATION
Reel/Frame 060651/0651 →
SECURITY INTEREST Recorded Apr 4, 2018
From: CALAMP CORP.
To: JPMORGAN CHASE BANK, N.A.
Reel/Frame 045853/0023 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 6, 2016
From: JENKINS, JEFF; BAYLEY, GREG; BYRNE, PETER; CHEN, GALLIN
To: CALAMP CORP.
Reel/Frame 039638/0396 →
Cited By (2)
US 12,202,422 US 12,300,042