IP Library Granted Patent US 10,930,090
Granted Patent B2
US 10,930,090 · App. 16/054,320 · Granted Feb 23, 2021

Method and system for accident detection using contextual data

Inventors: Brad Cordova (Cambridge, MA); Rafi Finegold (Sharon, MA); Dan Shiebler (Brooklyn, NY); Eddie Vaisman (Cambridge, MA)
Assignee: TRUEMOTION, INC.
G07C5/008B60W40/09G06Q40/08G07C5/0816G07C5/0841H04W4/44
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 10,930,090
App. No.
16/054,320
Granted
Feb 23, 2021
Kind
B2
Abstract

A system for reporting accident data includes: a mobile device having a plurality of sensors; a memory; and a processor coupled to the memory. The processor is configured to perform operations including: operating the plurality of sensors to collect driving data; receiving the driving data collected over a plurality of time intervals from at least one of the plurality of sensors in the mobile device of a user during a trip in a vehicle, assigning the driving data to the trip; receiving input indicating the trip is associated with an accident, wherein the input includes additional data associated with the accident; transmitting the driving data assigned to the trip associated with the accident; and transmitting the additional data associated with the accident.

Claims (38)

1. A system for reporting accident data, the system comprising:

a mobile device comprising a plurality of sensors;

a memory; and

a processor coupled to the memory wherein the processor is configured to perform operations including:

receiving driving data from the plurality of sensors collected over a plurality of time intervals during a trip in a vehicle;

assigning, by a server, the driving data to the trip;

receiving additional data that corresponds to at least one time interval of the plurality of time intervals;

determining that the additional data is associated with the trip;

detecting a driving event using at least one of the driving data and the additional data;

predicting that the driving event is a vehicle accident that occurred during the trip based on the driving data and the additional data; and

displaying the driving event, a portion of the driving data, and the additional data.

2. The system of claim 1 , wherein the plurality of sensors includes at least one of an accelerometer, a barometer, a gyroscope, a compass, a magnetometer, or a global navigation satellite system receiver.

3. The system of claim 1 , wherein the driving data includes at least one of global navigation satellite system coordinate data; crash detection data; turn data; brake data; acceleration data; or distracted driver data.

4. The system of claim 1 , wherein the driving data includes timestamps of the trip correlated with the driving data.

5. The system of claim 1 , wherein the additional data includes at least one of damage information, weather information, theft information, collision information, breakdown information, road type information, road conditions information, or traffic information.

6. The system of claim 1 , wherein the processor is further configured to perform operations including:

operating a display of the mobile device to display instructions to a user to provide information related to the vehicle accident;

receiving user data in response to the instructions; and

transmitting the user data received in response to the instructions.

7. The system of claim 1 , wherein the operations further comprise assigning a confidence level to the prediction of the vehicle accident.

8. The system of claim 7 , wherein the operations further comprise modifying the confidence level of the prediction of the vehicle accident based on reanalyzing the driving data using the additional data.

9. The system of claim 1 , wherein the operations further comprise automatically generating an accident report that includes a textual narrative of events surrounding the vehicle accident that is based on an analysis of the driving data.

10. The system of claim 9 , wherein the accident report includes map data illustrating a location of the vehicle accident displayed on a graphical user interface (GUI).

11. The system of claim 10 , wherein the operations further comprise overlaying driving data on the map data displayed on the GUI.

12. The system of claim 1 , the operations further comprising transmitting, to a server, the driving data, additional data, and an indication of potential fraud for display.

13. A method for reporting accident data, the method comprising:

recording driving data by operating a plurality of sensors in a mobile device;

receiving the driving data recorded by at least one of the plurality of sensors in the mobile device, wherein the driving data is associated with a trip;

receiving, from a server, additional data associated with the trip;

determining that a subset of the driving data associated with the trip corresponds to the additional data associated with the trip;

detecting a driving event using at least one of the subset of the driving data and the additional data;

predicting that the driving event is a vehicle accident that occurred during the trip based on the subset of the driving data and the additional data; and

displaying the driving event, the additional data, and the subset of the driving data that is associated with the trip and corresponds to the additional data.

14. The method of claim 13 , wherein the plurality of sensors includes at least one of an accelerometer, a barometer, a gyroscope, a compass, a magnetometer, or a global navigation satellite system receiver.

15. The method of claim 13 , wherein the driving data includes at least one of global navigation satellite system coordinate data; crash detection data; turn data; brake data;

acceleration data; or distracted driver data.

16. The method of claim 13 , wherein the driving data includes timestamps of the trip correlated with the driving data.

17. The method of claim 13 , wherein the additional data includes at least one of damage information, weather information, theft information, collision information, breakdown information, or an insurance claim.

Assignments (2)
MERGER Recorded Oct 15, 2021
From: TRUEMOTION, INC.
To: CAMBRIDGE MOBILE TELEMATICS INC.
Reel/Frame 057828/0138 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 22, 2018
From: CORDOVA, BRAD; FINEGOLD, RAFI; SHIEBLER, DAN; VAISMAN, EDDIE
To: TRUEMOTION, INC.
Reel/Frame 047258/0450 →
Continuity (3)
Provisional Application 62541615 · Aug 4, 2017
Provisional Application 62645653 · Mar 20, 2018
Related Publication 20190043273A1 · Feb 7, 2019
Cited By (1)
US 12,300,042