Granted Patent B2

US 12,444,306 · App. 18/504,481 · Granted Oct 14, 2025

Inventors: Willem Petersen (Elmira, CA); Harjot Singh Parmar (Waterloo, CA); Amish Vijay Patel (Mississauga, CA); Meghan Frances Fotak (Mississauga, CA); Paul Stobbe (Munich, DE); Robert Spencer Hockin (Milton, CA)

Assignee: Geotab Inc.

G08G1/166G06F18/2431G06Q40/08G06V20/58G06V20/588G06V20/597G08G1/167

Abstract

Claims (73)

1. A system comprising:

at least one network adapter configured to communicate with a communication network;

at least one processor; and

at least one storage medium containing program instructions that, when executed by the at least one processor, cause the at least one processor to carry out a method comprising:

in response to obtaining information regarding a potential collision between a vehicle and an object:

obtaining, for a time period extending before and after a time of the potential collision, data describing the vehicle during the time period via the communication network;

determining, based at least in part on the data describing the vehicle during the time period, a likelihood that the potential collision is a non-collision event by determining whether the data describing the vehicle during the time period satisfy one or more criteria for a non-collision event; and

in response to determining that the likelihood indicates that the potential collision is not a non-collision event:

triggering one or more actions responding to the potential collision.

2. The system of claim 1 , wherein the method further comprises:

in response to determining that the likelihood indicates that the potential collision is a non-collision event:

classifying, using at least one trained classifier, the data describing the vehicle into at least one of a plurality of classes, each class of the plurality of classes being associated with whether the potential collision is a collision; and

in response to the data describing the vehicle being classified into a class indicating that the potential collision is likely to be a collision, triggering the one or more actions responding to the potential collision.

3. The system of claim 2 , wherein each class of the plurality of classes that is associated with whether the potential collision is 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 an actual 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.

4. The system of claim 1 , wherein the method further comprises:

detecting the potential collision between the vehicle and the object by identifying that the vehicle has experienced at least one acceleration that meets at least one criterion.

5. The system of claim 4 , wherein identifying that the vehicle has experienced at least one acceleration that meets at least one criterion comprises determining that the at least one acceleration of the vehicle at the time has a value larger than a threshold.

6. The system of claim 1 , wherein:

the one or more criteria for a non-collision event comprise a plurality of sets of criteria, each set of the plurality of sets corresponding to a different non-collision event and comprising at least one criterion; and

determining whether the data describing the vehicle during the time period satisfy one or more criteria for a non-collision event comprises:

determining whether the data describing the vehicle during the time period satisfies the at least one criterion of each set of criteria from the plurality of sets of criteria; and

in response to determining that the data satisfies the at least one criterion for a first set of criteria of the plurality of sets of criteria, determining that the potential collision matches a first non-collision event associated with the first set of criteria.

7. The system of claim 1 , wherein determining whether the data describing the vehicle during the time period satisfy one or more criteria for a non-collision event comprises:

determining, based at least in part on sensor data from a telematics monitor of the vehicle, whether the telematics monitor is operating improperly; and

in response to determining that the telematics monitor of the vehicle is operating improperly, determining that the potential collision is not a collision.

8. The system of claim 7 , wherein determining whether the telematics monitor is operating improperly comprises:

determining a number of triggers the telematics monitor has generated during a time length; and

determining the telematics monitor is operating improperly if the number of triggers the telematics monitor has generated during the time length exceeds a threshold.

9. The system of claim 1 , wherein determining whether the data describing the vehicle during the time period satisfy one or more criteria for a non-collision event comprises:

determining whether a location of the vehicle at a time of the potential collision matches a road surface feature prone to causing acceleration events.

10. The system of claim 9 , wherein the method further comprises:

in response to determining that the location of the vehicle at the time of the potential collision matches the road surface feature prone to causing acceleration events:

determining whether the potential collision is associated with the vehicle traversing the road surface feature by determining whether acceleration data for the vehicle during the time period matches an acceleration signal that would be produced by the vehicle striking the road surface feature at the location of the vehicle at the time of the potential collision.

11. The system of claim 1 , wherein the method further comprises:

obtaining additional data describing the vehicle during a second time period from before and to after the potential collision, and wherein determining whether the data describing the vehicle during the time period satisfy one or more criteria for a non-collision event comprises:

analyzing the additional data to determine whether a behavior of a driver does not match any behavior prone to causing a collision; and

in response to determining that the behavior of the driver does not match any behavior prone to causing a collision, determining that the potential collision is a non-collision event.

12. The system of claim 1 , wherein the method further comprises:

before obtaining, for the time period extending before and after the time of the potential collision, data describing the vehicle during the time period:

determining a second potential collision within the time period;

merging the second potential collision to the potential collision;

updating the time period to extend before the time of the potential collision and after the time of the second potential collision; and

obtaining data describing the vehicle during the updated time period in place of obtaining data during the time period.

13. The system of claim 1 , wherein determining the likelihood that the potential collision is a non-collision event comprises assessing one or more conditions comprising:

whether the vehicle experienced a pull-over around the time of the potential collision;

whether the vehicle experienced a speed reduction around the time of the potential collision;

whether Global Positioning System (GPS) data for the vehicle around the time of the potential collision is unreliable;

whether an acceleration context linked to collision existed around the time of the potential collision; or

whether the vehicle experienced a stop around the time of the potential collision in a travel lane at which vehicles do not customarily stop.

14. The system of claim 13 , wherein determining the likelihood that the potential collision is a non-collision event comprises:

generating a collision score based on the one or more conditions; and

determining the potential collision is likely a non-collision event if the collision score is below a threshold.

15. The system of claim 13 , wherein the method further comprises determining whether the vehicle experienced the pull-over at the time around the potential collision by:

determining whether the vehicle stopped within a threshold time of the time of the potential collision and within a threshold distance of a location of the vehicle at the time of the potential collision.

16. The system of claim 13 , wherein the method further comprises determining whether the vehicle experienced the speed reduction around the time of the potential collision by:

determining whether a change of speed of the vehicle around the time of the potential collision is above a speed threshold.

17. The system of claim 13 , wherein the method further comprises determining whether GPS data for the vehicle around the time of the potential collision is unreliable, by:

determining whether a number of GPS points within the GPS data for the vehicle during the time period is below a number threshold.

18. The system of claim 13 , wherein the method further comprises determining whether the acceleration context linked to collision existed around the time of the potential collision by:

determining whether a number of impacts from acceleration data for the vehicle during the time period is within a range; and

in response to determining that the number of impacts from the acceleration data for the vehicle during the time period is within the range, determining a score based at least in part on an acceleration magnitude in a horizontal plane from the acceleration data for the vehicle during the time period, wherein the score is indicative of a likelihood that an acceleration context linked to collision existed around the time of the potential collision.

19. The system of claim 13 , wherein the method further comprises determining whether the vehicle experienced a stop around the time of the potential collision in a travel lane at which vehicles do not customarily stop comprises:

determining a location of the stop of the vehicle around the time of the potential collision;

determining a time duration of the stop of the vehicle;

determining a type of the travel lane the vehicle was traveling based on the stop location; and

determining that the vehicle experienced a stop in the travel lane at which vehicles do not customarily stop if it is determined that a time duration of the stop of the vehicle is above a duration threshold, wherein the duration threshold is dependent of the type of the travel lane.

20. At least one non-transitory computer-readable storage medium containing program instructions that, when executed by at least one processor, cause the at least one processor to carry out a method comprising:

in response to obtaining information regarding a potential collision between a vehicle and an object:

obtaining, for a time period extending before and after a time of the potential collision, data describing the vehicle during the time period;

determining, based at least in part on the data describing the vehicle during the time period, a likelihood that the potential collision is a non-collision event by determining whether the data describing the vehicle during the time period satisfy one or more criteria for a non-collision event; and

in response to determining that the likelihood indicates that the potential collision is not a non-collision event:

triggering one or more actions responding to the potential collision.

Assignments (1)

Continuity (3)

References Cited (399)