Lateral sign placement determination
First Claim
1. A method for predicting the placement of road signs, the method comprising:
- receiving data depicting at least one road sign;
determining a feature vector for the data depicting at least one road sign;
determining, by a processor, a predetermined relative placement of a road sign as compared to a road from which the data was collected;
applying a function g(x) for the predetermined relative placement that indicates a highest score from a scoring function f(x) for the feature vector (x) and a relative placement (y), wherein g(x) =argmaxy f(x,y); and
storing, by the processor, the relative placement of the road sign in a model that associates placement of road signs with at least one characteristic of the road from which the data was collected, wherein the model is accessible to interpret subsequentsets of data describing at least one road sign.
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Abstract
Systems, methods, and apparatuses are described for predicting the placement of road signs. A device receives data depicting road signs from multiple vehicles. The device analyzes a detected placement of the road signs and at least one characteristic of a collection of the data. The characteristic describes the road upon which the data was collected, an operation of the vehicle from which the data was collected, or an environment in which the data was collected. The device generates a model that associates values for the detected placement of the road signs with values for the at least one characteristic. The model may be later accessed to interpret subsequent sets of data describing one or more road signs.
16 Citations
20 Claims
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1. A method for predicting the placement of road signs, the method comprising:
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receiving data depicting at least one road sign; determining a feature vector for the data depicting at least one road sign; determining, by a processor, a predetermined relative placement of a road sign as compared to a road from which the data was collected; applying a function g(x) for the predetermined relative placement that indicates a highest score from a scoring function f(x) for the feature vector (x) and a relative placement (y), wherein g(x) =argmaxy f(x,y); and storing, by the processor, the relative placement of the road sign in a model that associates placement of road signs with at least one characteristic of the road from which the data was collected, wherein the model is accessible to interpret subsequentsets of data describing at least one road sign. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14)
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15. An apparatus for predicting the placement of road signs, the apparatus comprising:
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at least one memory configured to store a feature vector for data depicting at least one road sign and store a predetermined relative placement of a road sign as compared to a road from which the data was collected; a controller configured to apply a function g(x) for the predetermined relative placement that indicates a highest score from a scoring function f(x) for the feature vector (x) and a relative placement (y), wherein g(x) =argmaxy f(x,y) to calculate the relative placement of a road sign as relative to a road from which the data was collected and store, in the at least one memory, the relative placement of the road sign in a model that associates placement of road signs with at least one characteristic of the road from which the data was collected and the model is configured to interpret a subsequent setof data describing at least one road sign. - View Dependent Claims (16, 17, 18, 19)
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20. A non-transitory computer readable medium including instructions that when executed by a processor are configured to:
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receiving feature vectors for data depicting a plurality of road signs from a plurality of sources; receiving a predetermined relative placement for the plurality of road signs; applying, by the processor, a function g(x) for the predetermined relative placement that indicates a highest score from a scoring function f(x) for the feature vectors (x) and a relative placement (y), wherein g(x) =argmaxy f(x,y) to calculate the relative placement the plurality of road signs as compared to a road from which the data was collected from a respective one of the plurality of sources; sorting the relative placement of the plurality of road signs; and storing, by the processor, the sorted relative placement of the road signs in amodel that associates placement of road signs with at least one characteristic of the road from which the data was collected, wherein the model is configured to interpret a subsequent set of data describing at least one road sign.
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Specification