Neural network system for autonomous vehicle control
First Claim
1. A neural network system for autonomous control of a self-driving vehicle (SDV), the neural network system comprising:
- one or more processors; and
one or more memory resources storing a machine learning model that, when executed by the one or more processors, cause the neural network system to;
establish a destination location in local coordinates relative to the SDV;
identify one or more navigation points in a forward operational direction of the SDV;
process sensor data from a sensor system of the SDV, the sensor data providing a sensor view of the forward operational direction of the SDV;
determine, using a location-based resource, a current position of the SDV, wherein the one or more navigation points are computed based on the current position of the SDV and the established route to the destination location; and
utilizing the sensor data, operate acceleration, braking, and steering systems of the SDV to continuously follow the one or more navigation points along an established route to the destination location;
wherein noise is incorporated into location signals corresponding to the one or more navigation points, and wherein the noise causes the neural network system to rely on processing the sensor data in conjunction with continuously following the one or more navigation points.
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Accused Products
Abstract
A neural network may be utilized for autonomously driving a self-driving vehicle (SDV). The neural network can establish a destination location in local coordinates relative to the SDV. The neural network may then identify one or more navigation points in a forward operational direction of the SDV, and process sensor data from a sensor system of the SDV, the sensor data providing a sensor view of the forward operational direction of the SDV. Utilizing the sensor data, the neural network can operate acceleration, braking, and steering systems of the SDV to continuously follow the one or more navigation points along an established route to the destination location.
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Citations
14 Claims
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1. A neural network system for autonomous control of a self-driving vehicle (SDV), the neural network system comprising:
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one or more processors; and one or more memory resources storing a machine learning model that, when executed by the one or more processors, cause the neural network system to; establish a destination location in local coordinates relative to the SDV; identify one or more navigation points in a forward operational direction of the SDV; process sensor data from a sensor system of the SDV, the sensor data providing a sensor view of the forward operational direction of the SDV; determine, using a location-based resource, a current position of the SDV, wherein the one or more navigation points are computed based on the current position of the SDV and the established route to the destination location; and utilizing the sensor data, operate acceleration, braking, and steering systems of the SDV to continuously follow the one or more navigation points along an established route to the destination location;
wherein noise is incorporated into location signals corresponding to the one or more navigation points, and wherein the noise causes the neural network system to rely on processing the sensor data in conjunction with continuously following the one or more navigation points. - View Dependent Claims (2, 3, 4, 5)
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6. A self-driving vehicle (SDV) comprising:
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a sensor system to detect a situational environment of the SDV; acceleration, braking, and steering systems; and a control system comprising a neural network implementing a machine learning model that causes the control system to; establish a destination location in local coordinates relative to the SDV; identify one or more navigation points in a forward operational direction of the SDV; process sensor data from the sensor system of the SDV, the sensor data providing a sensor view of the forward operational direction of the SDV; determine, using a location-based resource, a current position of the SDV, wherein the one or more navigation points are computed based on the current position of the SDV and the established route to the destination location; and utilize the sensor data, operate acceleration, braking, and steering systems of the SDV to continuously follow the one or more navigation points along an established route to the destination location;
wherein noise is incorporated into location signals corresponding to the one or more navigation points, and wherein the noise causes the neural network system to rely on processing the sensor data in conjunction with continuously following the one or more navigation points. - View Dependent Claims (7, 8, 9, 10)
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11. A computer implemented method of autonomously operating a vehicle, the method being performed by one or more processors of a neural network system of a self-driving vehicle (SDV) and comprising:
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establishing a destination location in local coordinates relative to the SDV; identifying one or more navigation points in a forward operational direction of the SDV; processing sensor data from a sensor system of the SDV, the sensor data providing a sensor view of the forward operational direction of the SDV; determining, using a location-based resource, a current position of the SDV, wherein the one or more navigation points are computed based on the current position of the SDV and the established route to the destination location; and utilizing the sensor data, operating acceleration, braking, and steering systems of the SDV to continuously follow the one or more navigation points along an established route to the destination location;
wherein noise is incorporated into location signals corresponding to the one or more navigation points, and wherein the noise causes the neural network system to rely on processing the sensor data in conjunction with continuously following the one or more navigation points. - View Dependent Claims (12, 13, 14)
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Specification