Systems and methods for crash determination

Patent metadata

Field	Value
Publication number	US-11570529-B2
Application number	US-202016862985-A
Country	US
Kind code	B2
Filing date	Apr 30, 2020
Priority date	Jul 8, 2016
Publication date	Jan 31, 2023
Grant date	Jan 31, 2023

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.

First claim

What is claimed is:

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 vehicle data indicative of a class of a vehicle, 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;
wherein the processor, on reading the memory, is directed to:
obtain sensor data from the at least one sensor;
perform a first stage analysis comprising calculating peak resultant data based on the sensor data, where the peak resultant data describes an 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 class of the vehicle and the sensor data;
determine if the crash score data exceeds a first threshold;
perform a second stage analysis comprising calculating resultant change data based on the sensor data in response to a determination that the crash score data exceeds the first threshold, wherein the resultant change data describes a resultant change in velocity for the vehicle; and
provide the sensor data to a remote server system when the crash score data exceeds the first threshold and the resultant change data exceeds a second threshold.

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

3. The vehicle telematics device of claim 1 , wherein the at least one sensor comprises a weight sensor.

4. The vehicle telematics device of claim 1 , further comprising a communications interface;
wherein the vehicle telematics device obtains the sensor data using the communications interface.

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

6. The vehicle telematics device of claim 1 , wherein:
the remote server system comprises a second processor and a second memory storing a crash analysis application; and
the second processor of the remote server system, on reading the crash analysis application, is directed to:
obtain the sensor data from the vehicle telematics device;
obtain vehicle identification data from the vehicle telematics device;
calculate resultant change data based on the sensor data and the vehicle identification data; and
generate crash occurred data when the resultant change data exceeds a threshold value.

7. The vehicle telematics device of claim 6 , wherein the processor of the remote server system is further directed to provide notification data comprising the crash occurred data.

8. The vehicle telematics device of claim 1 , wherein the crash score data is generated by:
calculating the crash score data based on a duration of time in which the peak resultant data exceeds the set of crash curve data.

9. 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 vehicle data indicative of a class of the vehicle, 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;
performing a first stage analysis comprising calculating peak resultant data based on the sensor data using the vehicle telematics device, where the peak resultant data describes an acceleration of the vehicle over a first time period;
generating crash score data based on the peak resultant data and a 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;
determining if the crash score data exceeds a first threshold;
performing a second stage analysis comprising calculating resultant change data based on the sensor data in response to determining that the crash score data exceeds the first threshold, wherein the resultant change data describes a resultant change in velocity for the vehicle; and
providing the sensor data to a remote server system using the vehicle telematics device when the crash score data exceeds the first threshold and the resultant change data exceeds a second threshold.

10. The method of claim 9 , wherein the set of crash curve data is based on vehicle data comprising a vehicle identification number associated with the vehicle.

11. The method of claim 9 , wherein the at least one sensor comprises a weight sensor.

12. The method of claim 9 , wherein:
the vehicle telematics device further comprises a communications interface; and
the vehicle telematics device obtains the sensor data using the communications interface.

13. The method of claim 9 , wherein the set of crash curve data is provided by the remote server system.

14. The method of claim 9 , further comprising:
obtaining the sensor data from the vehicle telematics device using the remote server system;
obtaining vehicle identification data from the vehicle telematics device using the remote server system;
calculating resultant change data based on the 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.

15. The method of claim 14 , further comprising providing notification data comprising the crash occurred data using the remote server system.

16. The method of claim 9 , wherein the crash score data is generated by:
calculating the crash score data based on a duration of time in which the peak resultant data exceeds the set of crash curve data using the vehicle telematics device.

Assignees

• Calamp Corp
• Calampcorp

Inventors

• Jenkins Jeff
• Bayley Greg
• Byrne Peter
• Chen Gallin

Classifications

• G07C5/085

  using electronic data carriers · CPC title

• G01S19/42

  Determining position · CPC title

• H04Q2209/86

  Performing a diagnostic of the sensing device · CPC title

• G01S19/17

  Emergency applications · CPC title

• B60R2021/01322

  comprising variable thresholds, e.g. depending from other collision parameters · CPC title