Methods and systems for learning safe driving paths
AssigneeTORC Robotics, Inc.
InventorRyan CHILTON
Life of this patent
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Abstract
Systems and methods for generating safe driving paths in autonomous driving adversity conditions can include receiving, by a computer system including one or more processors, sensor data of a vehicle that is traveling. The sensor data can be indicative of one or more autonomous driving adversity conditions, and can include image data depicting surroundings of the vehicle. The method can include executing, by the computer system, a trained machine learning model to predict, using the sensor data, a trajectory to be followed by the vehicle through the one or more autonomous driving adversity conditions, and providing, by the computer system, an indication of the predicted trajectory to an autonomous driving system of the vehicle.
Claims20
A method comprising:
- receiving, by a computer system including one or more processors, sensor data of a vehicle that is traveling, the sensor data indicative of one or more autonomous driving adversity conditions, the sensor data including image data depicting surroundings of the vehicle;
- executing, by the computer system, a trained machine learning model to predict, using the sensor data, a trajectory to be followed by the vehicle through the one or more autonomous driving adversity conditions;
- and
- providing, by the computer system, an indication of the predicted trajectory to an autonomous driving system of the vehicle.
A system comprising:
- at least one processor;
- and
- a non-transitory computer readable medium storing computer, which when executed cause the system to:
- receive sensor data of a vehicle that is traveling, the sensor data indicative of one or more autonomous driving adversity conditions, the sensor data including image data depicting surroundings of the vehicle;
- execute a machine learning model to predict, using the sensor data, a trajectory to be followed by the vehicle through the one or more autonomous driving adversity conditions;
- and
- provide an indication of the predicted trajectory to an autonomous driving system of the vehicle.
A non-transitory computer-readable medium comprising computer instruction, the computer instructions when executed by one or more processors cause the one or more processors to:
- receive sensor data of a vehicle that is traveling, the sensor data indicative of one or more autonomous driving adversity conditions, the sensor data including image data depicting surroundings of the vehicle;
- execute a machine learning model to predict, using the sensor data, a trajectory to be followed by the vehicle through the one or more autonomous driving adversity conditions;
- and
- provide an indication of the predicted trajectory to an autonomous driving system of the vehicle.
Dependencies are inferred from the claim text.