Prediction of road grade for autonomous vehicle navigation
AssigneeTORC Robotics, Inc.
InventorsHarish PULLAGURLA, Zachary MILLER, Andrew CUNNINGHAM
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Abstract
Systems and methods of predicting a grade of a road upon which a vehicle is traveling are disclosed. An autonomous vehicle system can receive sensor data from a sensor measuring a response from at least one mechanical component of the autonomous vehicle as the autonomous vehicle navigates a road; detect a speed of the autonomous vehicle; determine a predicted grade of the road based on the sensor data and the speed; and navigate the autonomous vehicle based on the predicted grade of the road.
Claims20
One or more non-transitory computer-readable storage media for predicting a road grade for an autonomous vehicle, the one or more non-transitory computer-readable storage media comprising a plurality of instructions stored thereon that, in response to being executed, cause a system to:
- receive sensor data from at least one sensor measuring a response from at least one mechanical component of the autonomous vehicle while the autonomous vehicle navigates a road, the response including a power output of an engine of the autonomous vehicle;
- determine a speed of the autonomous vehicle;
- determine a first predicted grade of the road based on the power output and the speed;
- determine a second predicted grade of the road based on light detection and ranging (LiDAR) data captured by at least one LiDAR sensor of the autonomous vehicle;
- compare the first predicted grade with the second predicted grade;
- generate a confidence value of grade prediction based on the comparison;
- and
- navigate the autonomous vehicle based on the first predicted grade and the generated confidence value.
A computer-implemented method for predicting a road grade for an autonomous vehicle, the method comprising:
- receiving sensor data from at least one sensor measuring a response from at least one mechanical component of the autonomous vehicle while the autonomous vehicle navigates a road, the response including a power output of an engine of the autonomous vehicle;
- determining a speed of the autonomous vehicle;
- determining, by an artificial intelligence model, a predicted grade of the road based on the power output and the speed by:
- inputting the power output and the speed into the artificial intelligence model, the artificial intelligence model configured to output the predicted grade based on inputs to the artificial intelligence model, the predicted grade indicating steepness of the road;
- and
- navigating the autonomous vehicle based on the predicted grade.
An autonomy system of an autonomous vehicle, comprising at least one processor in communication with at least one memory, the at least one processor programmed to:
- receive sensor data from at least one sensor measuring a response from at least one mechanical component of the autonomous vehicle while the autonomous vehicle navigates a road, the response including a power output of an engine of the autonomous vehicle;
- determine a speed of the autonomous vehicle;
- determine, by an artificial intelligence model, a first predicted grade of the road based on the power output and the speed by:
- inputting the power output and the speed into the artificial intelligence model, the artificial intelligence model configured to output the first predicted grade based on inputs to the artificial intelligence model, the first predicted grade indicating steepness of the road;
- and
- navigate the autonomous vehicle based on the first predicted grade.
Dependencies are inferred from the claim text.