Lateral Sign Placement Determination
First Claim
1. A method comprising:
- receiving image data depicting road signs from a plurality of vehicles;
analyzing, by a processor, a detected lateral placement of the road signs and at least one characteristic of a collection of the image data;
generating, by the processor, a model that associates values for the lateral placement of the road signs with values for the at least one characteristic; and
storing the model in a database.
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Accused Products
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.
19 Citations
20 Claims
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1. A method comprising:
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receiving image data depicting road signs from a plurality of vehicles; analyzing, by a processor, a detected lateral placement of the road signs and at least one characteristic of a collection of the image data; generating, by the processor, a model that associates values for the lateral placement of the road signs with values for the at least one characteristic; and storing the model in a database. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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13. An apparatus comprising:
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at least one processor; and at least one memory including computer program code for one or more programs;
the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to at least;receive data describing road signs from a plurality of vehicles; analyze a detected placement of the road signs with respect to a road, and at least one characteristic of a collection of the data; generate a model that associates values for the detected placement of the road signs with values for the at least one characteristic; and store the model in a database - View Dependent Claims (14)
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15. A method comprising:
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receiving data describing at least one road sign; accessing, by a processor, a historical learned model that associates values for placement of road signs with at least one characteristic of a collection of the data; applying, by the processor, the at least one characteristic to the historical learned model; receiving a predicted placement of the at least one road sign from the historical learned model; and analyzing, by the processor, the data based on the predicted placement of the at least one road sign. - View Dependent Claims (16, 17, 18, 19)
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20. An apparatus comprising:
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at least one processor; and at least one memory including computer program code for one or more programs;
the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to at least;receive data describing at least one road sign; access a historical learned model that associates values for lateral placement of road signs with at least one characteristic of a collection of the data; apply the at least one characteristic to the historical learned model; receive a predicted lateral placement of the at least one road sign from the historical learned model; and analyze the data based on the lateral predicted placement of the at least one road sign.
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Specification