Classifier hierarchies for traffic light and traffic indicator detection
First Claim
1. A non-transitory computer-readable medium having stored thereon instructions that, upon execution by at least one processor of a computing device, cause the computing device to perform functions comprising:
- receiving, from an image-capture device coupled to an autonomous vehicle, an image that includes a light indicator, wherein the light indicator comprises an illuminated component;
determining, using the image, a color of the illuminated component of the light indicator and an associated confidence level of the determination of the color based on first training data indicative of a first plurality of illuminated components of light indicators;
determining, using the image, a shape of the illuminated component of the light indicator and an associated confidence level of the determination of the shape based on second training data indicative of a second plurality of illuminated components of light indicators;
based on at least one of the confidence level of the determination of the color and the confidence level of the determination of the shape exceeding a threshold value, determining a characteristic of a state of the light indicator; and
controlling the autonomous vehicle based on the determined characteristic of the state of the light indicator.
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Accused Products
Abstract
The present disclosure is directed to an autonomous vehicle having a vehicle control system. The vehicle control system includes an image processing system. The image processing system receives an image that includes a light indicator. The light indicator includes an illuminated component. The image processing system determines a color of the illuminated component of the light indicator and an associated confidence level of the determination of the color of the illuminated component. The image processing system also determines a shape of the illuminated component of the light indicator and an associated confidence level of the determination of the shape of the illuminated component. The determined confidence levels represent an estimated accuracy of the determinations of the shape and color. Additionally, the image processing system provides instructions executable by a computing device to control the autonomous vehicle based on at least one of the determined confidence levels exceeding a threshold value.
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Citations
20 Claims
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1. A non-transitory computer-readable medium having stored thereon instructions that, upon execution by at least one processor of a computing device, cause the computing device to perform functions comprising:
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receiving, from an image-capture device coupled to an autonomous vehicle, an image that includes a light indicator, wherein the light indicator comprises an illuminated component; determining, using the image, a color of the illuminated component of the light indicator and an associated confidence level of the determination of the color based on first training data indicative of a first plurality of illuminated components of light indicators; determining, using the image, a shape of the illuminated component of the light indicator and an associated confidence level of the determination of the shape based on second training data indicative of a second plurality of illuminated components of light indicators; based on at least one of the confidence level of the determination of the color and the confidence level of the determination of the shape exceeding a threshold value, determining a characteristic of a state of the light indicator; and controlling the autonomous vehicle based on the determined characteristic of the state of the light indicator. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A system comprising:
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an image-capture device; a processor; and a memory having stored thereon instructions that, upon execution by the processor, cause the image processing system to perform functions comprising; receiving, using an image-capture device coupled to an autonomous vehicle, an image that includes a light indicator having an illuminated component; determining, using the image and a first set of training data, a color of the illuminated component and a confidence level of the determination of the color; determining, using the image and a second set of training data, a shape of the illuminated component and a confidence level of the determination of the shape; based on at least one of the confidence level of the determination of the color and the confidence level of the determination of the shape exceeding a threshold value, determining a state of the light indicator; and controlling the autonomous vehicle based on the state of the light indicator. - View Dependent Claims (11, 12, 13, 14)
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15. A method comprising:
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receiving, using an image-capture device coupled to an autonomous vehicle, an image that includes a light indicator having an illuminated component; determining, using the image and a first set of training data, a color of the illuminated component and a confidence level of the determination of the color; determining, using the image and the second set of training data, a shape of the illuminated component and a confidence level of the determination of the shape; based on at least one of the confidence level of the determination of the color and the confidence level of the determination of the shape exceeding a threshold value, determining a state of the light indicator; and controlling the autonomous vehicle based on the state of the light indicator. - View Dependent Claims (16, 17, 18, 19, 20)
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Specification