COOPERATIVE LEARNING METHOD FOR ROAD INFRASTRUCTURE DETECTION AND CHARACTERIZATION
First Claim
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1. A method of generating street map data comprising:
- collecting acceleration, turning, and geolocation data from acceleration sensors, turning sensors, and geolocation systems in at least one vehicle across a plurality of vehicle drive cycles;
predicting a presence of a traffic control device at a geolocation in response to an identified repetitive pattern in the data; and
updating street map data to include the traffic control device at the geolocation.
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Abstract
A method for generating street map data includes collecting acceleration, turning, and geolocation data. The data is collected from acceleration sensors, turning sensors, and geolocation systems in at a least one vehicle across a plurality of vehicle drive cycles. The method additionally includes aggregating the acceleration, turning, and geolocation data. The method further includes predicting the presence of a traffic control device in response to an identified repetitive pattern in the aggregated data. The method further includes updating street map data to include the predicted traffic control device.
21 Citations
14 Claims
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1. A method of generating street map data comprising:
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collecting acceleration, turning, and geolocation data from acceleration sensors, turning sensors, and geolocation systems in at least one vehicle across a plurality of vehicle drive cycles; predicting a presence of a traffic control device at a geolocation in response to an identified repetitive pattern in the data; and updating street map data to include the traffic control device at the geolocation. - View Dependent Claims (2, 3, 4, 5)
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6. A mapping system comprising:
one or more computing devices configured to aggregate collected data including driver actuations of vehicle controls at corresponding geolocations; infer a presence of a discrepancy in mapping data in response to an identified repetitive driving pattern at one of the geolocations among the aggregated data; and update the mapping data to correct the discrepancy. - View Dependent Claims (7, 8, 9)
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10. A method of generating mapping data comprising:
generating mapping data including a predicted geolocation of a traffic control device predicted in response to a repeated driving pattern at the geolocation, the repeated driving pattern being identified among collected acceleration, turning, and geolocation data from acceleration sensors, turning sensors, and geolocation systems in at least one vehicle across a plurality of vehicle drive cycles. - View Dependent Claims (11, 12, 13, 14)
Specification