Crash severity detection system and related methods
AssigneeZF Friedrichshafen AG
InventorDhruv Tiwari
Life of this patent
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Abstract
A system includes memory hardware configured to store instructions and processor hardware configured to execute the instructions. The instructions include, in response to a vehicle being in an accident, receiving, from a set of sensors, information associated with the vehicle. The instructions include determining a severity rating of the accident based on at least some of the information. The instructions include determining a location of the vehicle based on at least some of information. The instructions include determining a set of emergency responders located closest to the vehicle. The instructions include transmitting a notification to the set of emergency responders. The notification includes at least the severity rating of the accident and the location of the vehicle.
Claims17
A system comprising:
- memory hardware configured to store instructions;
- and
- processor hardware configured to execute the instructions, wherein the instructions include:
- in response to a vehicle being in an accident, receiving, from a set of sensors, information associated with the vehicle;
- determining a severity rating of the accident based on at least some of the information, wherein determining the severity rating of the accident includes:
- inputting the information received from the set of sensors into a machine learned model, and
- generating, via the machine learned model, a severity metric;
- determining a location of the vehicle based on at least some of information;
- determining a set of emergency responders located closest to the vehicle;
- and
- transmitting a notification to the set of emergency responders, wherein:
- the notification includes at least the severity metric of the accident and the location of the vehicle,
- the machine learned model is retrained with feedback data associated with an accuracy of the severity metric;
- the feedback data is generated from at least one of the set of emergency responders or an occupant of the vehicle;
- and
- the machine learned model is retrained at least on a periodic basis.
A computer-implemented method comprising:
- in response to a vehicle being in an accident, receiving, from a set of sensors, information associated with the vehicle;
- determining a severity rating of the accident based on at least some of the information, wherein determining the severity rating of the accident includes:
- inputting the information received from the set of sensors into a machine learned model, and
- generating, via the machine learned model, a severity metric;
- determining a location of the vehicle based on at least some of the information;
- determining a set of emergency responders located closest to the vehicle;
- and
- transmitting a notification to the set of emergency responders, wherein:
- the notification includes at least the severity metric of the accident and the location of the vehicle,
- the machine learned model is retrained with feedback data associated with an accuracy of the severity metric,
- the feedback data is generated from at least one of the set of emergency responders or an occupant of the vehicle, and
- the machine learned model is retrained at least on a periodic basis.
A non-transitory computer-readable medium comprising processor-executable instructions that include:
- in response to a vehicle being in an accident, receiving, from a set of sensors, information associated with the vehicle;
- determining a severity rating of the accident based on the information, wherein determining the severity rating of the accident includes:
- inputting the information received from the set of sensors into a machine learned model, and
- generating, via the machine learned model, a severity metric;
- determining a location of the vehicle based on some of the information;
- determining a set of closest emergency responders relative to the vehicle;
- and
- transmitting a notification to the set of closest emergency responders, wherein:
- the notification includes at least the severity metric of the accident and the location of the vehicle,
- the machine learned model is retrained with feedback data associated with an accuracy of the severity metric,
- the feedback data is generated from at least one of the set of closest emergency responders or an occupant of the vehicle, and
- the machine learned model is retrained at least on a periodic basis.
Dependencies are inferred from the claim text.