360 degree vehicle camera accident monitoring system

• US 10,504,302 B1
• Filed: 12/15/2016
• Issued: 12/10/2019
• Est. Priority Date: 12/22/2015
• Status: Active Grant

• Current Assignee: United Services Automobile Association
• Original Assignee: United Services Automobile Association
• Inventors: Chavez, Carlos, Danko, Amanda Shannon, Fiedler, Kevin Kenneth, Szentes, Michael Jay, Harrison, James Stephan
• Primary Examiner(s): Ramesh, Krishnan
• Application Number:
  US15/380,514
• Time in Patent Office: 1,090 Days
• Field of Search: 701 293
• CPC Class Codes: G06Q 40/08 Insurance
• CPC Class Codes: G07C 5/008 communicating information to a remotely located station transmission systems for measured values G08C
• CPC Class Codes: G07C 5/0866 the electronic data carrier being a digital video recorder in combination with video camera
• CPC Class Codes: H04L 67/10 in which an application is distributed across nodes in the network software deployment G06F8/60; multiprogramming arrangements G06F9/46
• CPC Class Codes: H04W 4/38 for collecting sensor information
• CPC Class Codes: H04W 4/44 for communication between vehicles and infrastructures, e.g. vehicle-to-cloud [V2C] or vehicle-to-home [V2H]
• CPC Class Codes: H04W 4/90 Services for handling of emergency or hazardous situations, e.g. earthquake and tsunami warning systems [ETWS]

Abstract

A vehicle monitoring system with a camera is disclosed for creating video or still photo data at the time of a detected accident. The monitoring system monitors a vehicle parameter using a sensor contained within the vehicle. The system may use a processor contained within the vehicle to monitor the vehicle parameter. The system sets a parameter threshold. When the system detects, using the sensor, that the parameter has met the threshold it captures a video or still photo of an area surrounding the vehicle. The system then stores and/or transmits the video or still photo data to a remote server over a network.

Claims

1. A method for predicting an event surrounding a vehicle based on monitored parameters, the method comprising:

controlling, by a processor, a sensor to obtain sensor information for monitoring a vehicle parameter corresponding to the vehicle;

determining, by the processor, the sensor information is greater than an acceptable threshold;

controlling, by the processor, an image capturing device in communication with the vehicle to capture an image depicting an area surrounding the vehicle;

transmitting, by a network interface, the image to a remote server;

generating, by the processor, an event detection signal;

transmitting, by the network interface, the event detection signal to the remote server, wherein the remote server is configured to;

receive the event detection signal;

determine an external image capturing device located within a predetermined distance from the vehicle;

transmit a control signal to the external image capturing device, wherein the control signal causes the external image capturing device to capture a supplemental image depicting the vehicle and the area surrounding the vehicle; and

receive the supplemental image from the external image capturing device.

2. The method of claim 1, wherein the sensor information is a vehicle speed of the vehicle.

3. The method of claim 2, further comprising determining the vehicle speed is greater than an acceptable speed threshold when a monitored speed of the vehicle has decreased at least a first amount in a predetermined period of time.

4. The method of claim 1, wherein the sensor information is a decibel level outside of the vehicle.

5. The method of claim 4, further comprising determining the decibel level is greater than an acceptable decibel threshold when a monitored decibel level of the vehicle has increased at least a first amount over a predetermined time.

6. The method of claim 1, wherein the sensor is a pressure sensor and the vehicle parameter comprises a pressure measured by the pressure sensor.

7. The method of claim 1, wherein the sensor and processor are independent of a vehicle on-board diagnostics system.

8. The method of claim 1, wherein the image depicts a panoramic view of the area surrounding the vehicle.

9. The method of claim 1, wherein the image is a still image.

10. The method of claim 1, wherein the image is captured as an image frame comprising a video including a plurality of image frames.

11. The method of claim 1, further comprising controlling, by the processor, a second image capturing device in communication with the vehicle to capture a supplemental image based on the determination the vehicle parameter is greater than the acceptable threshold.

12. The method of claim 11, wherein the supplemental image depicts an interior cabin of the vehicle.

13. A method for predicting an event surrounding a first vehicle, the method comprising:

controlling, by a processor of the first vehicle, a sensor of the first vehicle to obtain sensor information for monitoring a vehicle parameter corresponding to the first vehicle;

detecting, by the processor of the first vehicle, a second vehicle located within a predetermined distance from the first vehicle;

determining, by the processor of the first vehicle, the sensor information is greater than an acceptable threshold;

generating, by the processor, a control signal;

transmitting, by a network interface, the control signal to the second vehicle, wherein the control signal causes an image capturing device in communication with the second vehicle to capture an image depicting the first vehicle and an area surrounding the first vehicle;

receiving, by the network interface, the image from the second vehicle;

transmitting, by the network interface, the image to a server at a location remote from the first vehicle and second vehicle;

determining, by the processor, a vehicle location of the first vehicle when the image depicting the area surrounding the first vehicle was captured;

parsing, by the processor, insurance claims stored on the remote server;

identifying, by the processor, target insurance claims submitted to an insurance provider during a period of time when the image depicting the area surrounding the first vehicle was captured;

determining, by the processor, locations identified from the target insurance claims;

comparing, by the processor, the locations identified from the target insurance claims to the vehicle location of the first vehicle when the image depicting the area surrounding the first vehicle was captured; and

attaching, by the processor, the image to insurance claims with matching locations based on the comparison.

14. The method of claim 13, wherein a location of the second vehicle is detected using a global positioning system.

15. The method of claim 13, further comprising transmitting characteristics of the second vehicle to the server.

16. The method of claim 13, further comprising:

storing the image on a damage resistant non-volatile memory of the first vehicle.

17. The method of claim 13, further comprising:

in response to detecting the second vehicle located within the predetermined distance from the first vehicle, transmitting, by the processor of the first vehicle, an identification signal to the second vehicle, wherein the image capturing device in communication with the second vehicle initiates video capture of the first vehicle upon recognizing the identification signal.

18. A vehicle monitoring device, comprising:

an interface configured to communicate with a remote server;

a sensor configured to obtain sensor information for monitoring a vehicle parameter of a first vehicle; and

a processor in communication with the interface and the sensor, the processor configured to;

determine the sensor information is greater than an acceptable threshold;

control an image capturing device in communication with the vehicle to capture an image depicting an area surrounding the vehicle;

transmit, via the interface, the image to the remote server;

generate an event detection signal;

transmit, via the interface, the event detection signal to the remote server, wherein the remote server is configured to;

receive the event detection signal;

determine an external image capturing device located within a predetermined distance from the vehicle;

transmit a control signal to the external image capturing device, wherein the control signal causes the external image capturing device to capture a supplemental image depicting the vehicle and the area surrounding the vehicle; and

receive the supplemental image from the external image capturing device.

19. The vehicle monitoring device of claim 18, wherein the processor is further configured to:

communicate, through the interface, with a global positioning system to detect a second vehicle located within a predetermined distance from the first vehicle;

receive, from the sensor, the sensor information;

determine the sensor information is greater than an acceptable threshold;

generate a control signal;

transmit, via the interface, the control signal to the second vehicle, wherein the control signal causes an image capturing device in communication with the second vehicle to capture an image depicting the first vehicle and an area surrounding the first vehicle;

receive, via the interface, the image from the second vehicle;

transmit, via the interface, the image to the remote server; and

in response to detecting the second vehicle located within the predetermined distance from the first vehicle, control the interface to transmit an identification signal to the second vehicle, wherein the image capturing device in communication with the second vehicle initiates video capture of the first vehicle upon recognizing the identification signal.

20. The vehicle monitoring device of claim 18, wherein the processor is further configured to:

determine a vehicle location of the first vehicle when the image depicting the area surrounding the first vehicle was captured;

parse insurance claims stored on the remote server;

identify target insurance claims submitted to an insurance provider during a period of time when the image depicting the area surrounding the first vehicle was captured;

determine locations identified from the target insurance claims;

compare the locations identified from the target insurance claims to the vehicle location of the first vehicle when the image depicting the area surrounding the first vehicle was captured; and

attach the image to insurance claims with matching locations based on the comparison.