Methods and systems to optimize vehicle event processes
AssigneeGM Global Technology Operations LLC
InventorsAndrew P Rose, Donald K Grimm, Fan Bai
Life of this patent
Estimating the term…
Abstract
In various embodiments, methods and systems are provided for processing data pertaining to a vehicle event for a vehicle. In accordance with an exemplary embodiment, vehicle sensor data is obtained from one or more vehicle sensors pertaining to the vehicle event. Also in an exemplary embodiment, an assessment of the vehicle event is determined via a processor, including as to a fault or a severity, or both associated with the vehicle event, based on the vehicle sensor data.
Claims20
A method for processing data pertaining to a vehicle event for a vehicle, the method including:
- obtaining vehicle sensor data from one or more vehicle sensors pertaining to the vehicle event;
- obtaining, from a computer memory, an event database of prior vehicle events;
- determining, via a processor, an assessment of the vehicle event, including a fault or a severity, or both associated with the vehicle event, based on the vehicle sensor data, wherein the step of determining the assessment of the vehicle event comprises:
- generating, via the processor, a damage assessment model for the vehicle resulting from the vehicle event, using the sensor data;
- generating, via the processor, a probability model, based on the damage assessment model and the event database, that assesses probabilities to different possible outcomes for the vehicle as a result of the vehicle event;
- and
- determining, via the processor based on the probability model, service requirements for the vehicle, including for parts and labor for repair of the vehicle, resulting from the vehicle event as determined using the probability model;
- and
- automatically taking a vehicle control action, via the processor based on the assessment of the vehicle event and the service requirements using the probability model.
A system for processing data pertaining to a vehicle event for a vehicle, the system comprising:
- one or more vehicle sensors configured to generate vehicle sensor data pertaining to the vehicle event;
- and
- a processor that is coupled to the one or more vehicle sensors and configured to at least facilitate:
- obtaining, from a computer memory, an event database of prior vehicle events generated via machine learning;
- determining an assessment of the vehicle event, including a fault or a severity, or both associated with the vehicle event, based on the vehicle sensor data, including by:
- generating a damage assessment model for the vehicle resulting from the vehicle event, using the sensor data;
- generating a probability model, based on the damage assessment model and the event database, that assesses probabilities to different possible outcomes for the vehicle as a result of the vehicle event;
- and
- determining, based on the probability model, service requirements for the vehicle, including for parts and labor for repair of the vehicle, resulting from the vehicle event as determined using the probability model;
- and
- automatically taking a vehicle control action, based on the assessment of the vehicle event and the service requirements using the probability model.
A vehicle comprising:
- a body;
- one or more vehicle sensors that are built into the body and configured to generate vehicle sensor data pertaining to a vehicle event;
- and
- a processor that is coupled to the one or more vehicle sensors and configured to at least facilitate:
- obtaining, from a computer memory, an event database of prior vehicle events generated via machine learning;
- determining an assessment of the vehicle event, including a fault or a severity, or both associated with the vehicle event, based on the vehicle sensor data, including by:
- generating a damage assessment model for the vehicle resulting from the vehicle event, using the sensor data;
- generating a probability model, based on the damage assessment model and the event database, that assesses probabilities to different possible outcomes for the vehicle as a result of the vehicle event;
- and
- determining, based on the probability model, service requirements for the vehicle, including for parts and labor for repair of the vehicle, resulting from the vehicle event as determined using the probability model;
- and
- automatically taking a vehicle control action, based on the assessment of the vehicle event and the service requirements using the probability model.
Dependencies are inferred from the claim text.