Parking area map refinement using occupancy behavior anomaly detector
AssigneeRobert Bosch GmbH
InventorsCarlos Cunha, Ruobing Chen
Life of this patent
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Abstract
A method includes receiving data corresponding to detected objects in a parking region, the data including information ascertained by an ascertaining vehicle driving through the parking region, determining a parking region distribution, based on detected objects in a street segment located within the parking region, determining a street segment distribution, calculating a difference between the parking region and the street segment distribution, identifying an anomaly located within the street segment, and generating an updated parking area map of the parking region based on the identified anomaly. The method includes receiving the data, for example, each time an ascertaining vehicle drives through the parking region.
Claims21
A method for dynamic electronic parking map generation, the method comprising:
- receiving, by processing circuitry and from at least one ascertaining vehicle driving through a parking region, data from at least one sensor of the at least one ascertaining vehicle and corresponding to detected objects in the parking region;
- determining, by the processing circuitry and based on the received data, a parking region distribution of detected objects in the parking region;
- determining, by the processing circuitry and based on the received data, a street segment distribution of detected objects in a street segment located within the parking region;
- determining, by the processing circuitry, a difference between the parking region distribution and the street segment distribution;
- identifying, by the processing circuitry and based on the difference between the parking region distribution and the street segment distribution, an anomaly located within the street segment;
- and
- generating, by the processing circuitry, an updated parking area map of the parking region based on the identified anomaly.
A system for dynamic electronic parking map generation, the system comprising processing circuitry, wherein the processing circuitry is configured to perform the following:
- receive from at least one ascertaining vehicle driving through a parking region, data from at least one sensor of the at least one ascertaining vehicle and corresponding to detected objects in the parking region;
- determine based on the received data a parking region distribution of detected objects in the parking region;
- determine based on the received data a street segment distribution of detected objects in a street segment located within the parking region;
- determine a difference between the parking region distribution and the street segment distribution;
- identify based on the difference between the parking region distribution and the street segment distribution, an anomaly located within the street segment;
- and
- generate an updated parking map of the parking region based on the identified anomaly.
A non-transitory computer-readable medium on which are stored instructions that are executable by a computer processor and that, when executed by the processor, cause the processor to perform to perform a method for dynamic electronic parking map generation, the method comprising:
- receiving, from at least one ascertaining vehicle driving through a parking region, data from at least one sensor of the at least one ascertaining vehicle and corresponding to detected objects in the parking region;
- determining, based on the received data, a parking region distribution of detected objects in the parking region;
- determining, based on the received data, a street segment distribution of detected objects in a street segment located within the parking region;
- determining, a difference between the parking region distribution and the street segment distribution;
- identifying, based on the difference between the parking region distribution and the street segment distribution, an anomaly located within the street segment;
- and
- generating an updated parking area map of the parking region based on the identified anomaly.
Dependencies are inferred from the claim text.