Vehicle event detection and classification using contextual vehicle information

Patent metadata

Field	Value
Publication number	US-2018293446-A1
Application number	US-201715482541-A
Country	US
Kind code	A1
Filing date	Apr 7, 2017
Priority date	Apr 7, 2017
Publication date	Oct 11, 2018
Grant date	—

Abstract

A method and system for detecting vehicle events and classifying them based on contextual vehicle information. The method includes detecting a vehicle event using vehicle movement data, and then obtaining and analyzing contextual vehicle information associated with the vehicle event. The contextual vehicle information may be indicative of an external condition that led to the vehicle event, such as an object in the vehicle's path, that helps classify the vehicle event for purposes of insurance risk assessment. Another disclosed method involves comparing the vehicle movement data with the vehicle performance requirements for each of the plurality of insurance carrier plans, and notifying a vehicle operator when the vehicle data satisfies the vehicle performance requirements for any one of the insurance carrier plans. Example systems may include a telematics unit installed to a vehicle that is configured to collect vehicle movement data and contextual vehicle information.

First claim

What is claimed is:

1 . A method of detecting a vehicle event and classifying the vehicle event based on contextual vehicle information, comprising the steps of:
(a) collecting vehicle movement data at a vehicle using vehicle electronics installed in the vehicle; (b) detecting a vehicle event from the vehicle movement data; (c) obtaining contextual vehicle information at the vehicle that is separate from the vehicle movement data and that comprises information received from the vehicle electronics indicating a detected condition that is associated with the vehicle event; and (d) transmitting from the vehicle a message containing information indicative of the vehicle event and the detected condition.

2 . The method of claim 1 , further comprising the step of (e) classifying the vehicle event based at least in part on the vehicle movement data and the contextual vehicle information, wherein at least steps (a) through (d) are carried out at the vehicle.

3 . The method of claim 1 , wherein vehicle electronics includes a vehicle telematics unit, wherein the method further comprises storing other vehicle movement data concerning other vehicle events, and wherein step (d) further comprises sending a message from the vehicle telematics unit that contains the information indicative of the vehicle event and the detected condition, and that contains information concerning the other vehicle events.

4 . The method of claim 1 , wherein the contextual vehicle information comprises information received from the vehicle electronics indicating a condition external to the vehicle that is associated with the vehicle event.

5 . The method of claim 1 , wherein: step (a) is carried out using any one or more of a speed sensor, accelerometer, or GPS receiver; step (b) comprises processing the vehicle movement data digitally using an electronic processor and determining that the vehicle event exceeds a predetermined risk limit; and step (c) is carried out in response to the determination in step (b).

6 . The method of claim 5 , wherein step (c) further comprises obtaining the contextual vehicle information from an object detection system that is installed in the vehicle as a part of the vehicle electronics and that detects external objects near the vehicle, and wherein the detected condition indicated by the contextual vehicle information comprises a detected presence of an object near the vehicle, whereby the contextual vehicle information comprises information which indicates that the vehicle event is an evasive maneuver carried out by the vehicle operator in response to the detected presence of the nearby object.

7 . A method of detecting and classifying one or more vehicle events based on contextual vehicle information, comprising the steps of:
(a) collecting vehicle movement data at a vehicle using vehicle electronics installed in the vehicle; (b) establishing a classification of at least one vehicle event in the vehicle movement data based on the at least one vehicle event exceeding a predetermined risk limit; (c) analyzing contextual vehicle information associated with the at least one vehicle event in response to the established classification; and (d) changing the established classification of the at least one vehicle event based upon the analysis of the contextual vehicle information.

8 . The method of claim 7 , wherein the predetermined risk limit is determined based on information from an insurance carrier plan.

9 . The method of claim 7 , wherein changing the established classification includes determining that the at least one vehicle event is below the predetermined risk limit.

10 . The method of claim 7 , wherein the contextual vehicle information includes an indication of an active status of a vehicle subsystem at the time of the at least one vehicle event.

11 . The method of claim 10 , wherein the vehicle subsystem is a vehicle safety subsystem.

12 . The method of claim 10 , wherein the vehicle subsystem includes at least one of a vehicle fog light, a cruise control, an anti-lock braking system, a four-wheel-drive system, a towing system, a driving mode, a windshield wiper, a traction control system, a seatbelt, a vehicle radio, a collision sensing system, a lane departure sensing system, or a weather indicator.

13 . The method of claim 7 , further comprising determining, from at least the contextual vehicle information, that the at least one vehicle event is a vehicle operator response to a vehicle externality.

14 . The method of claim 13 , wherein the vehicle externality is an object in the path of the vehicle.

15 . The method of claim 7 , wherein the at least one vehicle event includes at least one of a vehicle acceleration above a predetermined threshold or a vehicle deceleration above a predetermined threshold.

16 . The method of claim 7 , wherein the at least one vehicle event includes a vehicle lateral acceleration above a predetermined threshold.

17 . The method of claim 7 , further comprising comparing the vehicle movement data with vehicle performance requirements for a plurality of insurance carrier plans; and notifying a vehicle operator when the vehicle data satisfies the vehicle performance requirements for any one of the insurance carrier plans.

18 . A method of determining and notifying a vehicle operator of satisfactory achievement of vehicle performance requirements, comprising the steps of:
(a) collecting vehicle movement data using vehicle electronics installed in a vehicle; (b) receiving vehicle performance requirements for a plurality of insurance carrier plans; (c) comparing the vehicle movement data with the vehicle performance requirements for each of the plurality of insurance carrier plans; and (d) notifying a vehicle operator when the vehicle data satisfies the vehicle performance requirements for any one of the insurance carrier plans.

19 . The method of claim 18 , further comprising the steps of:
(e) establishing a classification of at least one vehicle event in the vehicle movement data as exceeding a predetermined risk limit; (f) analyzing contextual vehicle information associated with the at least one vehicle event in response to the established classification; and (g) changing the established classification of the at least one vehicle event based upon the contextual vehicle information.

20 . The method of claim 18 , further comprising the steps of:
(e) collecting vehicle movement data at the vehicle using the vehicle electronics; (f) detecting a vehicle event from the vehicle movement data; and (g) obtaining contextual vehicle information at the vehicle that is separate from the vehicle movement data and that comprises information received from the vehicle electronics indicating a detected condition that is associated with the vehicle event; and (h) transmitting from the vehicle a message containing information indicative of the vehicle event and the detected condition.

Assignees

• Gen Motors Llc

Inventors

• Becker Tyson
• Ross Gregory A
• Olejniczak Ryan
• Camacho Esteban
• Cermak Alexander X

Classifications

• G06F18/253

  of extracted features · CPC title

• G07C5/0841

  Registering performance data (recording measured values G01D; information storage G11B) · CPC title

• G07C5/008

  communicating information to a remotely located station (transmission systems for measured values G08C) · CPC title

• G08G1/0104

  Measuring and analyzing of parameters relative to traffic conditions · CPC title

• G09B19/167

  Control of land vehicles · CPC title