Method and system for tuning the effect of vehicle characteristics on risk prediction

• US 8,269,617 B2
• Filed: 01/26/2009
• Issued: 09/18/2012
• Est. Priority Date: 01/26/2009
• Status: Active Grant

• Current Assignee: Lytx, Inc.
• Original Assignee: Lytx, Inc.
• Inventors: Cook, Bryon, Ellegaard, Peter, Li, Hongying
• Primary Examiner(s): Zimmerman, Brian
• Assistant Examiner(s): Knox, Kaleria
• Application Number:
  US12/359,787
• Publication Number:
  US 20100188201A1
• Time in Patent Office: 1,331 Days
• Field of Search: 340/571.1, 340/5.1, 340/901, 340/425.5, 340/438, 340/905, 340/436, 340/573.1, 340/440, 600/300, 600/306, 600/500, 348/155, 280/781, 180/415
• US Class Current: 340/439
• CPC Class Codes: B60Q 1/00 Arrangement of optical signalling or lighting devices, the mounting or supporting thereof or circuits therefor for lighting vehicle interior B60Q3/00
• CPC Class Codes: G07C 5/0808 Diagnosing performance data testing of vehicles G01M17/00; testing of electrical installation on vehicles G01R31/005
• CPC Class Codes: G07C 5/085 using electronic data carriers

Abstract

A Method and System for Tuning the Effect of Vehicle Characteristics on Risk Prediction is disclosed. The system many incorporate many of those driver risk assessment system features previously disclosed by Assignee'"'"'s Prior Applications. The present system provides a major functional distinction from those prior systems by adding the feature of real-time tuning of the risk assessment/prediction/analysis system in response to ongoing changes in vehicle motion characteristics. Specifically, system monitors the vehicle center of gravity for changes on a real-time basis, and then adjusts the risk prediction/assessment/analysis system responsively. The system executes an initialization feature that implements an initial, or series of initial vehicular motion profiles at the commencement of either a driving trip of the system being powered up. A catalog or index of “standardized” motion profiles are accessible for initial comparison to actual vehicle motion characteristics in order to streamline the tuning of the driver risk analysis system. The system determines if and when an offset in Center of Gravity (i.e. from where initialized) has occurred, after which the system responsively tunes the driver risk assessment/prediction/analysis/reporting system.

Claims

1. A method for determining a driving event, comprising:

initializing a driving event system associated with a vehicle to a current vehicle type/class profile, by selecting from a set of predetermined vehicle type/class profiles, wherein the vehicle type/class profile comprises spatial motion profile, wherein a spatial motion profile comprises spatial motion data predetermined to be characteristic of a particular vehicle type/class, wherein initializing the driving event system to the current vehicle type/class profile further comprises setting event detection motion thresholds for determining a driving event based on the spatial motion profile in the selected predetermined vehicle type/class profile;

detecting vehicle spatial motion of the vehicle while the vehicle and driving event system is in operation;

capturing driving event data at one or more event capture devices associated with said vehicle;

comparing, using a processor, the detected vehicle spatial motion to the set of pre-determined vehicle type/class profiles while the vehicle and the driving event system is in operation;

determining, based on said comparing, whether the current vehicle class/type profile should be changed to another vehicle type/class profile during real-time detection of vehicle spatial motion while the vehicle and the driving event system is in operation;

determining a driving event based in part on detected vehicle spatial motion exceeding one or more event detection motion thresholds, wherein event detection motion thresholds are based in part on the vehicle type/class profile;

storing captured driving event data, in the event a driving event is determined.

2. The method of claim 1, further comprising:

determining whether the detected spatial motion is consistent with the spatial motion profile in the current vehicle class/type profile.

3. The method of claim 1, further comprising:

in event that the vehicle class/type profile should be changed, changing in real-time and while the vehicle is in operation the current vehicle class/type profile to another vehicle class/type profile from the set of predetermined vehicle type/class profiles.

4. The method of claim 3, further comprising in the event the current vehicle class/type profile is changed, adjusting the event detection motion thresholds automatically in real-time and while the vehicle is in operation.

5. The method of claim 1, further comprising:

comparing the detected vehicle spatial motion to historical spatial motion readings during the real-time detection of spatial motion while the vehicle and the driving event system is in operation;

determining whether the detected vehicle spatial motion is consistent with the historical data, and in the event detected vehicle spatial motion is not consistent with historical spatial motion readings, generating an alert.

6. The method of claim 1, further comprising filtering the detected spatial motion prior to determining a driving event.

7. The method of claim 6, further comprising:

determining whether the detected spatial motion is consistent with the set vehicle class/type profile,

in the event that the detected spatial motion is not consistent, changing if appropriate, the set vehicle class/type profile to a another vehicle class/type profile;

and adjusting filtering parameters for filtering the detected spatial motion.

11. The method of claim 1, wherein the detected vehicle spatial motion comprises one or more of the following:

motion and/or acceleration in the X, Y, Z axes, tilt, pitch, row and yaw of the vehicle.

12. The method of claim 1, wherein the detected vehicle spatial motion further comprises one or more of the following:

vehicle center of gravity, center of gravity offset or moment arm change.

13. The method of claim 1, wherein at the time of installation, the spatial motion detector is initialized with a global orientation.

8. A driving event system, comprising:

at least one event capture device coupled with a vehicle at least one of said event capture devices comprises a spatial motion detector;

a computing device in communication with the at least one event capture device configured to;

initialize the driving event system to a vehicle type/class profile, by selecting from a set of predetermined vehicle type/class profiles, wherein the vehicle type/class profile comprises spatial motion profile, wherein a spatial motion profile comprises spatial motion data predetermined to be characteristic of a particular vehicle type/class, wherein initializing the driving event system to a vehicle type/class profile comprises setting event detection motion thresholds for determining a driving event based on the spatial motion profile in the selected predetermined vehicle type/class profile;

detect vehicle spatial motion of the vehicle while the vehicle and driving event system is in operation;

capture driving event data at the one or more event capture devices;

compare the detected vehicle spatial motion to the set of pre-determined vehicle type/class profiles while the vehicle and driving event system is in operation;

determine, based on said comparing, whether the current vehicle class/type profile should be changed to another vehicle type/class profile during real-time detection of vehicle spatial motion while the vehicle and the driving event system is in operation;

determine a driving event based in part on detected vehicle spatial motion exceeding one or more event detection motion thresholds, wherein event detection motion thresholds are based in part on the vehicle type/class profile;

storing captured driving event data, in the event a driving event is determined;

and, one or more memory devices associated with the computing device to store data or provide instructions to the computing device.

9. The system of claim 8, wherein the computing device is further configured to:

filter detected vehicle spatial motion.

10. The system of claim 8, wherein the computing device is further configured to:

determine whether the spatial motion detector has been moved to another vehicle.

14. The system of claim 8, wherein the spatial motion detector has the ability to detect one or more of the following:

motion and/or acceleration in the X, Y, Z axes, tilt, pitch, row and yaw of the vehicle.

15. The system of claim 8, wherein the detection of spatial motion further comprises one or more of the following:

vehicle center of gravity, center of gravity offset, or moment arm change.

16. The system of claim 8, wherein at the time of installation, the spatial motion detector is initialized with a global orientation.

17. The system of claim 8, wherein the computing device is further configured to:

determine whether the detected spatial motion is consistent with the spatial motion profile in the current vehicle class/type profile.

18. The system of claim 8, wherein the computing device is further configured to:

in event that the vehicle class/type profile should be changed, change in real-time and while the vehicle is in operation the current vehicle class/type profile to another vehicle class/type profile from the set of predetermined vehicle type/class profiles.

19. The system of claim 18, wherein the computing device is further configured to:

in the event that the current vehicle class/type profile is changed, adjusting the event detection motion thresholds automatically in real-time and while the vehicle is in operation.

20. The system of claim 19, wherein the computing device is further configured to:

filter detected vehicle spatial motion, and adjust filtering parameters of the detected vehicle spatial motion in the event that the vehicle class/type profile is changed.

21. The system of claim 8, wherein the computing device is further configured to:

in the event detected vehicle spatial motion is not consistent with historical spatial motion readings, generate an alert.