Information processing device
US-2024249249-A1 · Jul 25, 2024 · US
US2026073740A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2026073740-A1 |
| Application number | US-202319107012-A |
| Country | US |
| Kind code | A1 |
| Filing date | Aug 15, 2023 |
| Priority date | Sep 5, 2022 |
| Publication date | Mar 12, 2026 |
| Grant date | — |
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A parking lot zone estimating device 30 comprises: a vehicle parking information recording unit 312 for determining that a vehicle is parked if there is no change in positional information for at least a predetermined period of time, and recording, as vehicle parking information, a parking location of the vehicle and a parking time that can be calculated from time information; a parking feature quantity calculating unit 313 for setting, as feature quantities of grids into which a region included in map information is divided, at least one of a parking frequency and a vehicle parking time, calculated on the basis of the vehicle parking information for each grid; and a facility parking lot estimating unit 314 for extracting the grids located within a prescribed range from a facility, and clustering the grids using the feature quantity to identify a parking lot of the facility.
Opening claim text (preview).
1 . A parking lot section estimation device comprising: a map information storage that stores map information including center positional information of a plurality of facilities; a receiver that receives continuous positional information together with time information from a plurality of vehicles; a vehicle parking information recorder that determines that a vehicle has been parked in a case in which the positional information has not changed for a predetermined period of time or more, and records a parking position of the vehicle, the time information, and a parking period of time that can be calculated based on the parking position and the time information, as vehicle parking information; a parking feature amount calculator that calculates a feature amount relating to at least any one of a parking frequency and a vehicle parking period of time in a predetermined period of time based on the vehicle parking information for each of a plurality of grid cells obtained by dividing a region included in the map information; and a facility parking lot estimator that extracts grid cells positioned in a predetermined range from one of the plurality of facilities and performs clustering with the feature amount, to estimate a section of a parking lot of the facility. 2 . The parking lot section estimation device according to claim 1 , wherein the parking feature amount calculator calculates, for each of the grid cells, a total number of times of parking and an accumulated parking period of time of the total number of times of parking in the predetermined period of time, sets the total number of times of parking as a feature amount relating to the parking frequency, and sets the accumulated parking period of time of the total number of times of parking as a feature amount relating to the vehicle parking period of time. 3 . The parking lot section estimation device according to claim 2 , wherein the parking feature amount calculator further calculates an average parking period of time per vehicle based on the total number of times of parking and the accumulated parking period of time to set the average parking period of time per vehicle as a feature amount relating to the vehicle parking period of time. 4 . The parking lot section estimation device according to claim 1 , wherein the parking feature amount calculator further calculates, for each of the grid cells, a feature amount relating to distance information from the facility based on a distance from the facility. 5 . The parking lot section estimation device according to claim 1 , wherein the parking feature amount calculator further sets, for each of the grid cells, at least one day of a week in the predetermined period of time, and calculates a parking frequency and/or a vehicle parking period of time in a period including only a set day of the week or a period not including the set day of the week. 6 . The parking lot section estimation device according to claim 1 , wherein the parking feature amount calculator further calculates, for each of the grid cells, a parking frequency and/or a vehicle parking period of time in a period including only a time slot of business hours of the facility or a period including only a time slot outside the business hours of the facility. 7 . The parking lot section estimation device according to claim 1 , further comprising a smoothing processor that associates an image in which a pixel value 1 is associated with a grid cell estimated as a parking lot of the facility by the facility parking lot estimator or an image in which a pixel value O is associated with a grid cell estimated as not being a parking lot of the facility by the facility parking lot estimator with a corresponding one of the grid cells, and performs filtering on each of the images by a smoothing filter in image processing, wherein the facility parking lot estimator performs filtering on each of the images by the smoothing processor to correct a section of a parking lot of the facility estimated by performing clustering with the feature amount. 8 . A parking lot section estimation method executed by a computer, the method comprising: a map information recording step of recording map information including center positional information of a plurality of facilities; a receiving step of receiving continuous positional information together with time information from a plurality of vehicles; a vehicle parking information recording step of determining that a vehicle has been parked in a case in which the positional information has not changed for a predetermined period of time or more, and recording a parking position of the vehicle, the time information, and a parking period of time that can be calculated based on the parking position and the time information, as vehicle parking information; a parking feature amount calculating step of calculating a feature amount relating to at least any one of a parking frequency and a vehicle parking period of time in a predetermined period of time based on the vehicle parking information for each of a plurality of grid cells obtained by dividing a region included in the map information; and a facility parking lot estimating step of extracting grid cells positioned in a predetermined range from a facility and performing clustering with the feature amount, to estimate a section of a parking lot of the facility.
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