Vehicle-incident detection method and system
First Claim
1. A vehicle-incident detection method, comprising:
- receiving vehicle data at a cloud computing system from a vehicle, the vehicle data being generated by the vehicle in response to an initial detection of a potential crash event, wherein the cloud computing system is remote from the vehicle;
after receiving the data, by the cloud computing system, requesting additional vehicle data from the vehicle, the additional vehicle data being generated by the vehicle at a time subsequent to the initial detection of the potential crash event;
receiving the additional vehicle data from the vehicle; and
by an application resident in the cloud computing system, analyzing the vehicle data and the additional vehicle data to verify if the initially detected potential crash event occurred, the application including computer readable code embedded on a non-transitory, tangible computer readable medium for performing the analyzing;
wherein;
both the vehicle data and the additional vehicle data are generated by the vehicle, not by the vehicle occupant;
the vehicle data includes at least a vehicle speed and a vehicle location generated by the vehicle at a time t0;
t0 is the time when the potential crash event is initially detected;
the additional vehicle data includes at least the vehicle speed and the vehicle location generated by the vehicle at a time t1; and
t1 is a time subsequent to the initial detection of the potential crash event.
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Abstract
A vehicle-incident detection method is disclosed herein. Vehicle data is received at a cloud computing system from a vehicle, where the vehicle data is generated by the vehicle in response to an initial detection of a vehicle-related event. After receiving the data, the cloud computing system requests additional vehicle data from the vehicle. The additional vehicle data is generated by the vehicle at a time subsequent to the initial detection of the vehicle-related event. The additional vehicle data is received from the vehicle, and an application resident in the cloud computing system analyzes the vehicle data and the additional vehicle data to determine that the vehicle-related event occurred. The application includes computer readable code embedded on a non-transitory, tangible computer readable medium for performing the analyzing. Also disclosed herein is a vehicle-incident detection system.
31 Citations
23 Claims
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1. A vehicle-incident detection method, comprising:
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receiving vehicle data at a cloud computing system from a vehicle, the vehicle data being generated by the vehicle in response to an initial detection of a potential crash event, wherein the cloud computing system is remote from the vehicle; after receiving the data, by the cloud computing system, requesting additional vehicle data from the vehicle, the additional vehicle data being generated by the vehicle at a time subsequent to the initial detection of the potential crash event; receiving the additional vehicle data from the vehicle; and by an application resident in the cloud computing system, analyzing the vehicle data and the additional vehicle data to verify if the initially detected potential crash event occurred, the application including computer readable code embedded on a non-transitory, tangible computer readable medium for performing the analyzing; wherein; both the vehicle data and the additional vehicle data are generated by the vehicle, not by the vehicle occupant; the vehicle data includes at least a vehicle speed and a vehicle location generated by the vehicle at a time t0; t0 is the time when the potential crash event is initially detected; the additional vehicle data includes at least the vehicle speed and the vehicle location generated by the vehicle at a time t1; and t1 is a time subsequent to the initial detection of the potential crash event. - View Dependent Claims (2, 3, 4, 5, 6, 8)
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7. The vehicle-incident detection method as defined in claim wherein:
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the analyzing includes comparing the vehicle data generated at time t0 and the additional vehicle data generated at time t1; and the method further comprises; determining that a crash occurred based on the comparison; and notifying a vehicle service center that the crash occurred.
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9. A vehicle-incident detection method, comprising:
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initially detecting a potential crash event; via a telematics unit operatively disposed in a vehicle, automatically transmitting data from the vehicle to a cloud computing system in response to the initial detection, the data being associated with a vehicle system, wherein the cloud computing system is remote from the vehicle; in response to a request received from the cloud computing system, transmitting additional data from the vehicle via the telematics unit to the cloud computing system, the additional data being associated with the vehicle system and generated at a time subsequent to the initial detection of the potential crash event; and by an application resident in the cloud computing system, analyzing the data and the additional data to verify if the initially detected potential crash event occurred, the application including computer readable code embedded on a non-transitory, tangible computer readable medium for performing the analyzing; wherein; both the data and the additional data are generated by the vehicle, not by the vehicle occupant; the data includes at least a vehicle speed and a vehicle location generated at a time t0, wherein t0 is the time of the initial detection of the potential crash event; the additional data includes at least the vehicle speed and the vehicle location generated at a nine t1; and t1 is a time subsequent to the initial detection of the potential crash event. - View Dependent Claims (10, 11, 12, 13)
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14. A vehicle-incident detection system, comprising:
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a vehicle, including; at least one sensor disposed in or on the vehicle, the at least one sensor to generate a signal indicative of a potential crash event; a telematics unit disposed in the vehicle and selectively and operatively connected to the at least one sensor, the telematics unit to;
i) receive the signal from the at least one sensor, ii) initially detect, at a time t0, the potential crash event based on the signal, iii) obtain vehicle data for the time t0 from at least one vehicle system, excluding data from a vehicle occupant, upon making the initial detection, and iv) obtain additional vehicle data from the at least one vehicle system data from the vehicle occupant, at a time t1 that is subsequent to the time t0; anda processor operatively associated with the telematics unit, the processor to execute computer readable code embedded on a tangible, non-transitory computer readable medium for formulating messages, one of the messages including the vehicle data obtained at the time t0 and an other of the messages including the additional vehicle data obtained at the time t1; and a cloud computing system, remote from the vehicle, including; networking equipment to receive the messages from the telematics unit; and processing equipment to run an application stored in a memory of the cloud computing system, the application including computer readable code, embedded on an other tangible, non-transitory computer readable medium, for extracting the vehicle data from the messages and for analyzing the vehicle data and the additional vehicle data to verify if the initially detected potential crash event occurred. - View Dependent Claims (15, 16, 17, 18, 19, 20)
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21. A vehicle-incident detection method, comprising:
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receiving vehicle data at a cloud computing system from a vehicle, the vehicle data being generated by the vehicle in response to an initial detection of a potential crash event, wherein the cloud computing system is remote from the vehicle; after receiving the data, by the cloud computing system, requesting additional vehicle data from the vehicle, the additional vehicle data being generated by the vehicle at a time subsequent to the initial detection of the potential crash event; receiving the additional vehicle data from the vehicle; by an application resident in the cloud computing system, analyzing the vehicle data and the additional vehicle data to verify if the initially detected potential crash event occurred, the application including computer readable code embedded on a non-transitory, tangible computer readable medium for performing the analyzing; wherein; both the vehicle data and the additional vehicle data are generated by the vehicle, not by the vehicle occupant; the vehicle data includes at least a vehicle speed and a vehicle location generated by the vehicle at a time t0; t0 is the time when the potential crash event is initially detected; the additional vehicle data includes at least the vehicle speed and the vehicle location generated by the vehicle at a time t1; and t1 is a time subsequent to the initial detection of the potential crash event; receiving subsequent additional vehicle data at a time t1+n, wherein n is an integer equal to or greater than 1, wherein the subsequent additional vehicle data is generated by the vehicle, not by the vehicle occupant; and analyzing the vehicle data, the additional vehicle data, and the subsequent additional vehicle data to verify whether or not the potential crash event was a crash. - View Dependent Claims (22, 23)
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Specification