Real-time driver monitoring and feedback reporting system

• US 10,414,408 B1
• Filed: 07/21/2017
• Issued: 09/17/2019
• Est. Priority Date: 09/23/2014
• Status: Active Grant

• Current Assignee: State Farm Mutual Automobile Insurance Company (State Farm)
• Original Assignee: State Farm Mutual Automobile Insurance Company (State Farm)
• Inventors: Fields, Brian Mark, Roberson, Steve, Harish, Abhishek, Lim, Hyunji, Waughtel, Matthew James
• Primary Examiner(s): Kleinman, Lail A
• Application Number:
  US15/656,104
• Time in Patent Office: 788 Days
• Field of Search: None
• CPC Class Codes: A61B 5/18 for vehicle drivers or machine operators
• CPC Class Codes: B60K 35/00 Instruments specially adapted for vehicles; Arrangement of instruments in or on vehicles
• CPC Class Codes: B60W 40/08 related to drivers or passengers
• CPC Class Codes: B60W 40/09 Driving style or behaviour
• CPC Class Codes: G07C 5/008 communicating information to a remotely located station transmission systems for measured values G08C
• CPC Class Codes: G07C 5/0816 Indicating performance data, e.g. occurrence of a malfunction
• CPC Class Codes: G07C 5/0858 wherein the data carrier is removable
• CPC Class Codes: G07C 5/12 in graphical form
• CPC Class Codes: G09B 19/14 Traffic procedures, e.g. traffic regulations
• CPC Class Codes: G09B 19/167 Control of land vehicles
• CPC Class Codes: H04W 4/029 Location-based management or tracking services
• CPC Class Codes: H04W 4/40 for vehicles, e.g. vehicle-to-pedestrians [V2P]
• CPC Class Codes: H04W 4/80 Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication

Abstract

Real-time feedback may be generated during a driving session from status data collected via one or more sensors. This feedback data may include various metrics related to a student'"'"'s driving skills, which may be utilized to generate tagged driving events. A user may also manually enter tagged driving events. The tagged driving events may include real-time information based on the collected status data, such as acceleration, braking, cornering data, descriptions entered by the user. The location of these tagged driving events may be mapped in real time. Sensors used to collect this data may be integrated within the device displaying the feedback or located on another device, in which case the status data may be communicated to the device displaying the feedback. The displayed real-time feedback may be viewed by an instructor to assess a student'"'"'s driving skills in real time and to calculate a driver feedback score.

Claims

1. A computer-implemented method, comprising:

receiving, at a first mobile computing device located in a vehicle during a driving session, status data from a second mobile computing device located in the vehicle, the status data being generated by the second mobile computing device,

generating, at the first mobile computing device by one or more processors, a tagged driving event when the status data indicates an occurrence of an event that is relevant to driving performance; and

concurrently displaying, at the first mobile computing device, a greater number of different types of driving session information than the second mobile computing device is capable of concurrently displaying,

wherein the driving session information is based upon the status data and includes (i) a map of the driving session route and the tagged driving event at a location along the driving session route where the tagged driving event occurred, (ii) a driver status, or (iii) a vehicle status.

2. The method of claim 1, wherein the status data is indicative of one or more of (i) the vehicle'"'"'s acceleration, (ii) the vehicle'"'"'s movement while braking, or (iii) the vehicle'"'"'s movement while cornering.

3. The method of claim 2, further comprising:

calculating, by one or more processors, status metric values associated with each of (i) the vehicle'"'"'s acceleration, (ii) the vehicle'"'"'s movement while braking, and (iii) the vehicle'"'"'s movement while cornering, based upon the status data; and

calculating, by one or more processors, a driver feedback score based upon the status metric values.

4. The method of claim 1, wherein the act of concurrently displaying the different types of driving session information comprises:

concurrently displaying the different types of driving session information in real time to provide feedback during the driving session.

5. The method of claim 1, wherein the driver status comprises one or more of:

driver eye movement;

a direction of a driver'"'"'s gaze;

driver head position;

or

a driver biometric.

6. The method of claim 1, wherein the vehicle status comprises one or more of:

vehicle road speed;

vehicle engine speed;

a time to collision (TTC);

a lane position of the vehicle;

vehicle light status;

or

vehicle braking status.

7. The method of claim 1, wherein the act of generating the tagged driving event comprises:

generating a custom tagged driving event in response to receiving a user input, and

wherein the act of concurrently displaying the different types of driving session information includes displaying the custom tagged driving event at a location along the driving session route corresponding to a location of the vehicle when the user input was received.

8. A system, comprising:

a first mobile computing device configured to generate status data during a driving session while located in a vehicle; and

a second mobile computing device configured to (i) receive the status data from the first mobile computing device during the driving session, (ii) generate a tagged driving event when the status data indicates an occurrence of an event that is relevant to driving performance, and (iii) concurrently display a greater number of different types of driving session information than the second mobile computing device is capable of concurrently displaying,

wherein the driving session information is based upon the status data and includes (i) a map of the driving session route and the tagged driving event at a location along the driving session route where the tagged driving event occurred, (ii) a driver status, or (iii) a vehicle status.

9. The system of claim 8, wherein the status data is indicative of one or more of (i) the vehicle'"'"'s acceleration, (ii) the vehicle'"'"'s movement while braking, or (iii) the vehicle'"'"'s movement while cornering.

10. The system of claim 9, wherein the second mobile computing device is further configured to calculate status metric values associated with each of (i) the vehicle'"'"'s acceleration, (ii) the vehicle'"'"'s movement while braking, and (iii) the vehicle'"'"'s movement while cornering, based upon the status data, and to calculate a driver feedback score based upon the status metric values.

11. The system of claim 8, wherein the second mobile computing device is further configured to concurrently display the different types of driving session information in real time to provide feedback during the driving session.

12. The system of claim 8, wherein the driver status comprises one or more of:

driver eye movement;

a direction of a driver'"'"'s gaze;

driver head position;

or

a driver biometric.

13. The system of claim 8, wherein the vehicle status comprises one or more of:

vehicle road speed;

vehicle engine speed;

time to collision (TTC);

a lane position of the vehicle;

vehicle light status;

or

vehicle braking status.

14. The system of claim 8, wherein the second mobile computing device is further configured to generate a custom tagged driving event in response to receiving a user input, and to concurrently display the different types of driving session information including displaying the custom tagged driving event on the map of the driving session at a location of the vehicle when the user input was received.

15. A first mobile computing device, comprising:

a processor configured to generate a tagged driving event when status data from a second mobile computing device located in a vehicle indicates an occurrence of an event that is relevant to driving performance, the status data being generated by the second mobile computing device; and

a display configured to concurrently present a greater number of different types of driving session information than the second mobile computing device is capable of concurrently presenting,

wherein the driving session information is based upon the status data and includes (i) a map of the driving session route and the tagged driving event at a location along the driving session route where the tagged driving event occurred, (ii) a driver status, or (iii) a vehicle status.

16. The first mobile computing device of claim 15, wherein the status data is indicative of one or more of (i) the vehicle'"'"'s acceleration, (ii) the vehicle'"'"'s movement while braking, or (iii) the vehicle'"'"'s movement while cornering, and

wherein the processor is further configured to calculate status metric values associated with each of (i) the vehicle'"'"'s acceleration, (ii) the vehicle'"'"'s movement while braking, and (iii) the vehicle'"'"'s movement while cornering, based upon the status data, and to calculate a driver feedback score based upon the status metric values.

17. The first mobile computing device of claim 15, wherein the display is further configured to concurrently present the different types of driving session information in real time to provide feedback during the driving session.

18. The first mobile computing device of claim 15, wherein the driver status comprises one or more of:

driver eye movement;

a direction of a driver'"'"'s gaze;

driver head position;

or

a driver biometric.

19. The first mobile computing device of claim 15, wherein the vehicle status comprises one or more of:

vehicle road speed;

vehicle engine speed;

time to collision (TTC);

a lane position of the vehicle;

vehicle light status;

or

vehicle braking status.

20. The first mobile computing device of claim 15, wherein the processor is further configured to generate a custom tagged driving event in response to receiving a user input, and to concurrently present the different types of driving session information including presenting the custom tagged driving event at a location along the driving session route corresponding to a location of the vehicle when the user input was received.