System and method for detecting severe road events
AssigneeGM Cruise Holdings LLC
InventorsErik Nielsen, Chase Kaufman
Life of this patent
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Abstract
The present technology is effective to cause at least one processor to collect sensor data from at least one sensor on an autonomous vehicle, wherein the sensor data includes a plurality of measurements from the at least one sensor, identify, from the sensor data, at least one measurement from the plurality of measurements that is outside a threshold measurement for the at least one sensor and is indicative of an impact incident, send the sensor data to a remote computing system, and receive, in response to the sending of the sensor data that is indicative of the impact incident, routing instructions from the remote computing system.
Claims20
A computer-implemented method comprising:
- collecting sensor data from at least one sensor on an autonomous vehicle, wherein the sensor data includes a plurality of measurements from the at least one sensor;
- identifying, from the sensor data, at least one measurement from the plurality of measurements that is outside a threshold measurement for the at least one sensor and is indicative of an impact incident;
- determining, based on an algorithm, whether the autonomous vehicle requires a repair to the autonomous vehicle as a result of the impact incident, wherein the algorithm is configured to receive the sensor data and output a respective classification of severity of the impact incident, wherein the autonomous vehicle is included in a fleet;
- sending the sensor data to a remote computing system;
- and
- in response to the sending of the sensor data that is indicative of the impact incident, receiving, from the remote computing system, routing instructions instructing the autonomous vehicle to navigate to a particular service station for maintenance in a particular order with respect to other autonomous vehicles, wherein the particular order is based on the severity of the impact incident, and
- wherein the collection of sensor data is received from a plurality of autonomous vehicles and is labeled with classifications of at least a severity of a respective impact event and any repair that was needed for a respective autonomous vehicle in response to the respective impact.
A computing system comprising:
- at least one storage including computer-readable instructions stored thereon;
- and
- at least one processor configured to execute the computer-readable instructions which cause the computing system to:
- collect sensor data from at least one sensor on an autonomous vehicle, wherein the sensor data includes a plurality of measurements from the at least one sensor;
- identify, from the sensor data, at least one measurement from the plurality of measurements that is outside a threshold measurement for the at least one sensor and is indicative of an impact incident;
- determine, based on an algorithm, whether the autonomous vehicle requires a repair to the autonomous vehicle as a result of the impact incident, wherein the algorithm is configured to receive the sensor data and output a respective classification of severity of the impact incident, wherein the autonomous vehicle is included in a fleet;
- send the sensor data to a remote computing system;
- and
- in response to the sending of the sensor data that is indicative of the impact incident, receive, from the remote computing system, routing instructions instructing the autonomous vehicle to navigate to a particular service station for maintenance in a particular order with respect to other autonomous vehicles, wherein the particular order is based on the severity of the impact incident, and
- wherein the collection of sensor data is received from a plurality of autonomous vehicles and is labeled with classifications of at least a severity of a respective impact event and any repair that was needed for a respective autonomous vehicle in response to the respective impact.
A non-transitory computer-readable storage medium comprising instructions therein, which when executed by one or more processors, cause the processors to perform operations comprising:
- collecting sensor data from at least one sensor on an autonomous vehicle, wherein the sensor data includes a plurality of measurements from the at least one sensor;
- identifying, from the sensor data, at least one measurement from the plurality of measurements that is outside a threshold measurement for the at least one sensor and is indicative of an impact incident;
- determining, based on an algorithm, whether the autonomous vehicle requires a repair to the autonomous vehicle as a result of the impact incident, wherein the algorithm is configured to receive the sensor data and output a respective classification of severity of the impact incident, wherein the autonomous vehicle is included in a fleet;
- sending the sensor data to a remote computing system;
- and
- in response to the sending of the sensor data that is indicative of the impact incident, receiving, from the remote computing system, routing instructions instructing the autonomous vehicle to navigate to a particular service station for maintenance in a particular order with respect to other autonomous vehicles, wherein the particular order is based on the severity of the impact incident, and
- wherein the collection of sensor data is received from a plurality of autonomous vehicles and is labeled with classifications of at least a severity of a respective impact event and any repair that was needed for a respective autonomous vehicle in response to the respective impact.
Dependencies are inferred from the claim text.