Characterizing a vehicle collision
Described herein are examples of a system that processes information describing movement of a vehicle at a time related to a potential collision to reliably determine whether a collision occurred and/or one or more characteristics of the collision. In response to obtaining information regarding a potential collision, data describing movement of the vehicle before and/or after a time associated with the potential collision is analyzed to determine whether the collision occurred and/or to determine one or more collision characteristic(s). The analysis may be carried out at least in part using a trained classifier that classifies the vehicle movement data into one or more classes, where at least some the classes are associated with whether a collision occurred and/or one or more characteristics of a collision. If a collision is determined to be likely, one or more actions may be triggered based on the characteristic(s) of the collision.
1. A method comprising:
detecting an acceleration event from accelerometer data from an accelerometer included in a monitoring device that is installable in a vehicle, the acceleration event being indicative of a potential collision between the vehicle and an object;
setting a time period from before and after the detected acceleration event;
collecting additional data, other than the accelerometer data, obtained during the time period;
analyzing the additional data using a neural network, wherein analyzing the additional data comprises analyzing at least a portion of the additional data local to the vehicle or sending at least a portion of the additional data to a remote site having servers operated by a vendor of the monitoring device and that is remote from the vehicle for analysis; and,
providing, from the remote site, the at least the analyzed additional data to an operator of a fleet of vehicles of which the vehicle is a member.
2. The method of claim 1 , wherein setting a time period from before and after the detected acceleration event comprises setting a time period from before and after the detected acceleration event in response to the detected acceleration event.
3. The method of claim 1 , further comprising communicating, via Bluetooth®, at least the additional data from the monitoring device to another device for sending to the remote site.
4. The method of claim 1 , further comprising determining whether the potential collision is likely to have been a collision based on the detected acceleration event and the additional data.
5. The method of claim 1 , further comprising contacting a driver of the vehicle.
6. The method of claim 1 , wherein setting a time period from before and after the detected acceleration event comprises setting a time period between 3 and 10 seconds.
7. A method comprising:
detecting an acceleration event from accelerometer data from an accelerometer included in a monitoring device that is installable in a vehicle, the acceleration event being indicative of a potential collision between the vehicle and an object;
setting a time period from before and after the detected acceleration event;
collecting additional data, other than the accelerometer data, obtained during the time period; and
analyzing the additional data using a neural network, wherein analyzing the additional data comprises analyzing at least a portion of the additional data local to the vehicle or sending at least a portion of the additional data to a remote site that is remote from the vehicle for analysis.
8. The method of claim 7 , wherein setting a time period from before and after the detected acceleration event comprises setting a time period from before and after the detected acceleration event in response to the detected acceleration event.
9. The method of claim 7 , further comprising providing, from the remote site, at least the additional data to an operator of a fleet of vehicles of which the vehicle is a member.
10. The method of claim 7 , wherein sending at least a portion of the additional data to a remote site comprises sending the at least a portion of the additional data to servers operated by a vendor of the monitoring device.
11. The method of claim 7 , further comprising communicating, via Bluetooth®, at least the additional data from the monitoring device to another device for sending to the remote site.
12. The method of claim 11 , further comprising providing, from the remote site, at least the analyzed additional data to an operator of a fleet of vehicles of which the vehicle is a member.
13. The method of claim 7 , further comprising notifying, from the remote site, an operator of a fleet of vehicles of which the vehicle is a member that a collision is likely to have occurred.
14. The method of claim 7 , further comprising determining whether the vehicle has experienced an actual collision.
15. The method of claim 7 , further comprising determining whether the potential collision is likely to have been a collision based at least in part on the additional data.
16. The method of claim 15 , further comprising determining whether the potential collision is likely to have been a collision based at least in part on the detected acceleration event.
17. The method of claim 7 , further comprising contacting a driver of the vehicle.
18. The method of claim 17 , further wherein contacting the driver of the vehicle comprises automatically contacting the driver of the vehicle.
19. The method of claim 7 , further comprising contacting emergency services and/or roadside assistance services in an area in which the vehicle is located to request dispatch of emergency services or roadside assistance to the vehicle using location information and/or identifying information of the vehicle.
20. The method of claim 7 , wherein collecting additional data comprises collecting a speed of the vehicle.
21. The method of claim 7 , wherein collecting additional data comprises collecting data indicative of movement of the vehicle.
22. The method of claim 7 , wherein collecting additional data comprises collecting data regarding one or more components of the vehicle.
23. The method of claim 22 , wherein collecting data regarding one or more components of the vehicle comprises collecting data from an airbag sensor.
24. The method of claim 7 , wherein setting a time period from before and after the detected acceleration event comprises setting a time period between 3 and 10 seconds.
25. The method of claim 7 , further comprising classifying, using at least one trained classifier, the acceleration event and the additional data into at least one of a plurality of classes, each class of the plurality of classes being associated with whether a collision occurred, and determining whether the potential collision is likely to have been an actual collision based at least in part on the at least one class identified in the classifying.
26. The method of claim 25 , wherein each class of the plurality of classes that is associated with occurrence of a collision is further associated with at least one collision characteristic; and wherein the method further comprises, in response to determining that the potential collision is likely to have been a collision, characterizing the collision based at least in part on the at least one collision characteristic associated with one or more of the at least one class identified in the classifying.
27. The method of claim 22 , wherein obtaining information generated by one or more components of the vehicle comprises obtaining information via an On-Board Diagnostics system of the vehicle.
28. At least one non-transitory computer-readable storage medium having encoded thereon executable instructions that, when executed by at least one processor, cause the at least one processor to carry out a method comprising:
detecting an acceleration event from accelerometer data from an accelerometer included in a monitoring device that is installable in a vehicle, the acceleration event being indicative of a potential collision between the vehicle and an object;
setting a time period from before and after the detected acceleration event;
collecting additional data, other than the accelerometer data, obtained during the time period; and
analyzing the additional data using a neural network, wherein analyzing the additional data comprises analyzing at least a portion of the additional data local to the vehicle or sending at least a portion of the additional data to a remote site that is remote from the vehicle for analysis.
29. An apparatus comprising:
a monitoring device that is installable in a vehicle, the monitoring device having at least one processor, an accelerometer coupled to the at least one processor, and at least one storage medium communicating with the processor and having encoded thereon executable instructions that, when executed by the at least one processor, cause the at least one processor to carry out a method comprising:
detecting an acceleration event from accelerometer data from the accelerometer, the acceleration event being indicative of a potential collision between the vehicle and an object;
setting a time period from before and after the detected acceleration event;
collecting additional data, other than the accelerometer data, obtained during the time period; and
analyzing the additional data using a neural network, wherein analyzing the additional data comprises analyzing at least a portion of the additional data local to the vehicle or sending at least a portion of the additional data to a remote site that is remote from the vehicle for analysis.