METHOD AND APPARATUS FOR CONTEXT BASED MAP DATA RETRIEVAL
First Claim
1. A computer-implemented method for use in training a plurality of neural networks for map data retrieval, the method comprising:
- processing contextual information to determine a restricted range of location information relevant to at least one query;
processing sensor data received from at least one sensor, the sensor data collected at at least one query location, to determine semantic information; and
filtering the map data based, at least in part, on the restricted range of location information relevant to the at least one query, the semantic information, or a combination thereof.
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Abstract
An approach is provided for storing and retrieving map data using contextual information priors. The approach involves, for example, processing contextual information to determine a restricted range of location information relevant to at least one query. The approach also involves processing sensor data received from at least one sensor, the sensor data collected at at least one query location, to determine semantic information. The approach further involves filtering the map data based, at least in part, on the restricted range of location information relevant to the at least one query, the semantic information, or a combination thereof.
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Citations
20 Claims
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1. A computer-implemented method for use in training a plurality of neural networks for map data retrieval, the method comprising:
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processing contextual information to determine a restricted range of location information relevant to at least one query; processing sensor data received from at least one sensor, the sensor data collected at at least one query location, to determine semantic information; and filtering the map data based, at least in part, on the restricted range of location information relevant to the at least one query, the semantic information, or a combination thereof. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. An apparatus for in training a plurality of neural networks for map data retrieval, 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 perform at least the following, process contextual information to determine a restricted range of location information relevant to at least one query; process sensor data received from at least one sensor, the sensor data collected at at least one query location, to determine semantic information; and filter the map data based, at least in part, on the restricted range of location information relevant to the at least one query, the semantic information, or a combination thereof. - View Dependent Claims (10, 11, 12, 13, 14, 15, 16)
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17. A non-transitory computer-readable storage medium for training a plurality of neural networks for map data retrieval, carrying one or more sequences of one or more instructions which, when executed by one or more processors, cause an apparatus to at least perform the following steps:
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processing contextual information to determine a restricted range of location information relevant to at least one query; processing sensor data received from at least one sensor, the sensor data collected at at least one query location, to determine semantic information; and filtering the map data based, at least in part, on the restricted range of location information relevant to the at least one query location, the semantic information, or a combination thereof. - View Dependent Claims (18, 19, 20)
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Specification