KR20220086799A - Acquisition method of pedestrian path data using data network and the system thereof - Google Patents

Abstract

The present invention relates to a pedestrian road data acquisition method and system for updating sidewalk data using pedestrian road measurement data collected from a mobile device possessed by a pedestrian moving on a pedestrian road and compensating for a reward accordingly. Receiving the walking road measurement data obtained while moving the pedestrian road through a mobile device in hand, calculating the speed data according to the movement of the pedestrian from the walking road measurement data to obtain the walking road data indicating the shape and characteristics of the pedestrian road acquiring, updating the sidewalk data for the pedestrian road by comparing the pedestrian road data with pre-stored sidewalk data, and providing a reward to the pedestrian with a compensation degree according to information characteristics of the pedestrian road measurement data includes steps.

Description

Road information sharing platform for the physically disabled {ACQUISITION METHOD OF PEDESTRIAN PATH DATA USING DATA NETWORK AND THE SYSTEM THEREOF}

The present invention relates to a method and system for acquiring pedestrian road data using a data communication network, and more particularly, to update sidewalk data using pedestrian road measurement data collected from a mobile device possessed by a pedestrian moving on a pedestrian road, It relates to a technology for compensating for a reward accordingly.

In the past, road information was captured as an image using a camera mounted on a vehicle, and road data on the shape and condition of the road was obtained using the captured image, or road data on the shape and condition of the road was obtained through road CCTV. did

In order to capture road information, not only the image of the road, but also the location of the road is important, and the location of the road is acquired through the current location of the vehicle using GPS (Global Positioning System) and matched with the captured road image. , so that the position of the road and the image match.

However, conventionally, it is limited to a technology for acquiring road data on which a vehicle moves. That is, conventionally, it has been limited to acquiring road data on the shape and situation of vehicle roads, and the technology for acquiring and dataizing data on the shape and characteristics of the pedestrian road for the pedestrian road on which the pedestrian walks is insufficient.

An object of the present invention is to provide a reward according to the degree of compensation by obtaining pedestrian road data from image data collected from a mobile device possessed by a pedestrian moving on the pedestrian road.

In addition, it is an object of the present invention to use the camera and sensor in the mobile device to determine the shape of the walking road and whether there are stairs, hills, braille blocks, elevators or escalators, obstacles and dangerous areas of straight and curved pedestrian roads. We want to acquire pedestrian road data indicating the characteristics of the pedestrian road whether or not it exists.

Another object of the present invention is to improve effectiveness and accuracy by updating previously stored sidewalk data for a corresponding pedestrian road based on pedestrian road data obtained according to the movement of a pedestrian.

Another object of the present invention is to provide rewards to pedestrians by applying different compensation degrees according to information characteristics of pedestrian road measurement data collected through a mobile device possessed by the pedestrian.

A method for obtaining pedestrian road data according to an embodiment of the present invention includes receiving walking road measurement data obtained while moving on a pedestrian road through a mobile device possessed by a pedestrian, and speed data according to the movement of a pedestrian from the walking road measurement data Obtaining pedestrian road data representing the shape and characteristics of a pedestrian road by calculating and providing a reward to the pedestrian with a degree of compensation according to the characteristics.

In addition, the pedestrian road data acquisition method according to an embodiment of the present invention may further include the step of requesting the reception of specific pedestrian road measurement data to a pedestrian located within a preset radius based on a specific pedestrian road for which data collection is required. can

A pedestrian road data acquisition system according to an embodiment of the present invention includes a data receiver for receiving walking road measurement data obtained while moving on a pedestrian road through a mobile device possessed by a pedestrian, and a speed according to the movement of a pedestrian from the walking road measurement data A data processing unit that calculates data to obtain pedestrian road data indicating the shape and characteristics of the pedestrian road, a data update unit that compares the pedestrian road data with pre-stored sidewalk data to update the sidewalk data for the pedestrian road, and the pedestrian road and a reward providing unit that provides a reward to the pedestrian with a degree of compensation according to the information characteristic of the measurement data.

In addition, the pedestrian road data acquisition system according to an embodiment of the present invention may further include a controller for requesting reception of specific pedestrian road measurement data to a pedestrian located within a preset radius based on a specific pedestrian road for which data collection is required. can

According to an embodiment of the present invention, by using the camera and sensor in the mobile device, the type of walking road and whether there are stairs, hills, elevators or escalators, obstacles, and dangerous areas of the straight and curved walking roads are determined by using the camera and sensors in the mobile device. Pedestrian road data representing road characteristics may be acquired.

In addition, according to an embodiment of the present invention, it is possible to improve effectiveness and accuracy by updating previously stored sidewalk data for the corresponding pedestrian road based on the pedestrian road data obtained according to the movement of the pedestrian.

In addition, according to an embodiment of the present invention, it is possible to provide a reward to a pedestrian by applying different compensation degrees according to information characteristics of the walking road measurement data collected through a mobile device possessed by the pedestrian.

1 is a flowchart illustrating an operation of a method for acquiring pedestrian road data according to an embodiment of the present invention.
2 is a diagram to explain an example of acquiring pedestrian road data through pedestrian movement according to an embodiment of the present invention.
3 is a block diagram illustrating a detailed configuration of a pedestrian road data acquisition system according to an embodiment of the present invention.

Hereinafter, embodiments according to the present invention will be described in detail with reference to the accompanying drawings. However, the present invention is not limited or limited by the examples. Also, like reference numerals in each figure denote like members.

In addition, terms used in this specification are terms used to properly express preferred embodiments of the present invention, which may vary depending on the intention of a viewer or operator or customs in the field to which the present invention belongs. Accordingly, definitions of these terms should be made based on the content throughout this specification.

1 is a flowchart illustrating an operation of a method for acquiring pedestrian road data according to an embodiment of the present invention.

At this time, the method of obtaining pedestrian road data according to an embodiment of the present invention uses social mapping, and the present invention, which is a service provider, does not unilaterally collect and process pedestrian road data, but a plurality of users. It refers to appropriately mapping the pedestrian road data obtained using the pedestrian road measurement data collected from the public to the pre-stored sidewalk data or map data.

The method of FIG. 1 is performed by the pedestrian road data acquisition system according to the embodiment of the present invention shown in FIG. 3 .

Referring to FIG. 1 , in step S110, walking road measurement data obtained while moving a pedestrian road (or sidewalk) through a mobile device carried by a pedestrian is received.

In step S110, the walking road measurement data obtained from the mobile device may be received in real time, or the walking road measurement data may be received from the mobile device at a time for every predetermined period. For example, in step S110, the pedestrian may receive the walking road measurement data in real time whenever the pedestrian acquires the walking road measurement data through the mobile device, and at a preset time point such as 2:00 AM, Monday or the 15th of every month Measurement data may be received.

Here, the walking road measurement data is data collected from a mobile device, image data acquired through a camera in the mobile device, location data of a pedestrian acquired through a GPS sensor and a gyro sensor, movement path sensor measurement data, and a tilt sensor. The obtained road slope data may be included.

The video data may be an image or a video of a photo, and the video data of the video is not stored in the mobile device. In other words, in the method for obtaining pedestrian road data according to an embodiment of the present invention, when image data for a pedestrian road is captured through a mobile device, it is received in real time through a 5G communication network and analyzed through steps S120 and S130, and analysis After that, by deleting the image data, it may be characterized in that the image data is not stored in the mobile device.

Looking at step S110, step S110 is image data captured while the pedestrian is moving on the pedestrian road through the camera in the mobile device, the location data of the pedestrian obtained through the GPS sensor and the gyro sensor in the mobile device, and movement according to the movement of the pedestrian The walking road measurement data including movement route sensor measurement data indicating the distance and movement time and road inclination data obtained through a tilt sensor in the mobile device may be received.

The GPS sensor and the gyro sensor are sensors included in the mobile device, and in step S110, the movement path sensor measurement data indicating the movement distance and movement time may be received by detecting the position of the pedestrian. More specifically, the mobile device uses a GPS sensor and a gyro sensor to detect the position of a pedestrian moving on a pedestrian road, and the movement distance and movement time according to the movement of the pedestrian through changes in the pedestrian's walking speed, walking direction, and altitude. It is possible to obtain movement path sensor measurement data representing The movement path sensor measurement data is data obtained from a sensor in the mobile device, and information related to the movement distance and movement time according to the movement of the pedestrian, the movement direction, the time spent at one point, and the route to avoid obstacles or structures may further include.

Furthermore, the mobile device may acquire movement path sensor measurement data including tilt information of the mobile device according to the movement of the pedestrian, a camera direction, and a camera photographing position. In an embodiment, the mobile device uses the gyro sensor, the inclination sensor, and the camera to measure the movement path sensor including the inclination information of the mobile device, whether the road is inclined or hilly according to the camera direction and the camera shooting location, the inclination angle, and the walking road image data can be obtained.

For example, the pedestrian may walk after putting the mobile device in a bag or clothes, walk while holding the mobile device in hand, or walk while looking at the mobile device. Accordingly, the mobile device acquires the movement distance and movement time according to the movement of the pedestrian through the GPS sensor, the acceleration sensor, the gyro sensor, and the inclination sensor, and detects whether the road is sloped or hilly by acquiring the inclination information and the camera direction, You can figure out the inclination angle of a slope or hill.

Accordingly, the pedestrian road data acquisition method according to the embodiment of the present invention is not only the movement distance and movement time, but also the movement direction, the time spent at one point, the route to avoid obstacles or structures, the slope or hill of the road, the slope By receiving the movement path sensor measurement data including the angle and the walking road image, it is possible to measure more specific information on the walking road.

Here, the mobile device may be at least one terminal among a smart phone, a desktop PC, a mobile terminal, a PDA, a notebook computer, a tablet PC, and a wearable device, and a method and system for acquiring pedestrian road data in a mobile device according to an embodiment of the present invention An application related to may be installed. Accordingly, in step S110, it is possible to detect that the walking road measurement data is collected in the mobile device through the application, thereby enabling real-time reception of the walking road measurement data or reception at a preset time point. Furthermore, the mobile device may receive a user's selection input and may include a touch screen type display capable of performing an operation of a predetermined set of functions through a screen including a touch-sensing area, and one or more Since it may be a device including a physical button or a virtual button, the type and shape are not limited thereto.

In step S120, the speed data according to the movement of the pedestrian is calculated from the walking road measurement data to obtain walking road data indicating the shape and characteristics of the pedestrian road.

Step S120 calculates the speed data according to the movement of the pedestrian from the walking road measurement data, and compares the calculated speed data with the average speed data according to the movement between the distance points previously stored in the database to indicate the shape and characteristics of the walking road. Road data can be obtained. In addition, in step S120, the shape of the pedestrian road of the straight pedestrian road and the curved pedestrian road, and whether there are stairs, hills, Braille blocks, elevators or escalators, whether there are obstacles, and at least one of whether the pedestrian road is a dangerous area, and characteristics can be obtained.

For example, if the pedestrian moves from point A to point B on the pedestrian road, step S120 may calculate the speed data of the average speed according to the moving distance and moving time from the walking road measurement data obtained due to the movement of the pedestrian. have. Accordingly, step S120 compares the average speed data mechanically calculated for the distance from point A to point B, stored in a database (not shown), and the calculated speed data to determine the shape of the walking road of the straight walking road and the curved walking road. It is possible to acquire the characteristics of the pedestrian road at least one of whether there are stairs, whether there is a hill, whether there is a braille block, whether there is an elevator or an escalator, whether there is an obstacle, and whether there is a danger area.

For example, it is assumed that the walking road from point A to point B is a straight road, and if the calculated speed data from point A to point B is faster than the average speed data stored in the database, step S120 is performed at the pre-stored point A. It is determined that the obstacles or dangerous areas (for example, construction, etc.) that were located on the straight pedestrian road between Point B and hindered the movement of pedestrians have been resolved, and the characteristics of the pedestrian road of whether there are obstacles and danger areas for the area are newly updated. can be obtained

As another example, if the calculated speed data from point A to point B is slower than the average speed data stored in the database, step S120 is performed with stairs, hills and elevators or escalators on the straight pedestrian road between point A and point B stored in advance. It is determined that any one of the same elevators is newly installed, and the pedestrian road characteristics of whether there are stairs, hills, braille blocks, and elevators or escalators for the corresponding area can be newly acquired.

Accordingly, in step S120, the shape and characteristics of the pedestrian road can be determined by comparing the calculated speed data with the average speed data stored in the database, and pedestrian road data indicating the shape and characteristics of the sidewalk where only pedestrians move can be obtained. .

In addition, in step S120, it is possible to acquire pedestrian road data by identifying whether there are obstacles on the pedestrian road in real time through the image data, and in the case of an obstacle that obstructs or harms a pedestrian's movement, a degree of risk may be detected. For example, if construction materials generated at a nearby construction site fall on the pedestrian road, the pedestrian moves along the pedestrian road and collects image data by photographing the construction materials. And, according to the size, type, and occurrence time of the obstacle, the level of risk for the obstacle that prevents the pedestrian from walking may be detected in stages (eg, the first level of risk, the second level of risk, and the third level of risk).

Accordingly, step S130 may update the level of risk to the sidewalk data along with the pedestrian road data, and the pedestrian road data acquisition method according to an embodiment of the present invention provides the updated sidewalk data to a plurality of pedestrians or pedestrian road managers in real time. can be shared.

For this reason, the pedestrian road data acquisition method according to an embodiment of the present invention may be characterized in that the level of risk on or around the pedestrian road is sensed, and this is shared with a plurality of pedestrians or pedestrian road managers.

In step S130, the sidewalk data for the pedestrian road is updated by comparing the pedestrian road data with the previously stored sidewalk data.

In step S130, the pedestrian road data and the sidewalk data previously stored for the area are compared, and the sidewalk data is updated based on the pedestrian road data to improve effectiveness and accuracy. For example, step S130 compares the pedestrian road data obtained for the separation distance from point A to point B with pre-stored sidewalk data, and updates the sidewalk data from the pedestrian road data to improve effectiveness and accuracy. can do it The sidewalk data may be raw data for a pedestrian road, and may include a street shape, length, width, and characteristics for each pedestrian road designed during road construction.

In this case, the pre-stored sidewalk data and average speed data may be information stored and maintained in a database (not shown) of the pedestrian road data acquisition system according to an embodiment of the present invention, and may include information about the street shape, length, width and It may be received from an external server that holds the data of the feature.

The sidewalk data updated by step S130 is provided to a plurality of pedestrians or pedestrian road managers using the pedestrian road data acquisition method according to an embodiment of the present invention, and the plurality of pedestrians or pedestrian road managers use the updated sidewalk at different locations. data can be shared.

In step S140, a reward is provided to the pedestrian to a degree of compensation according to the information characteristic of the pedestrian road measurement data.

Step S140 adds a basic weight to the pedestrian road measurement data, and adds additional weights according to the size, time, and quality of image data in the pedestrian road measurement data and the length of the pedestrian road measured through the pedestrian road measurement data, , it is possible to provide a reward to a pedestrian by applying different compensation degrees to the pedestrian road measurement data according to the summed weighting degree.

For example, a score of 0.5, 1, 1.5, and 2 is given for each item of image data size (based on 720p), time (based on 1 minute), image quality (based on normal image quality), and pedestrian length (based on 1 km). , when the walking road measurement data is received from the mobile device through step S110, a basic weight of score 1 may be added in step S140. Thereafter, in step S140, if the score for each item is higher than the reference value for each item, the score assigned for each item may be added as an additional weight, and if it is lower than the reference value, the additional weight may not be added. Accordingly, in step S140, the additional weights are added to the existing weights and sequentially arranged according to the summed weighting degree, so that a first reward between 0 and 2 points, a second reward between 2 and 4 points, and 4 and 6 points A reward can be provided to the pedestrian by applying a degree of compensation, such as the third reward for sai and the fourth reward for 6 points or more.

According to the embodiment, step S140 provides any one or more rewards among cyber cash, gift certificates, coupons, cashable points, gifts, rewards, and certificates, and includes a first reward, a second reward, a third reward, and a fourth reward. It is possible to provide a higher amount of rewards or multiple rewards.

In addition, the pedestrian road data acquisition method according to an embodiment of the present invention includes the steps of requesting the reception of specific walking road measurement data to a pedestrian located within a preset radius based on a specific pedestrian road requiring data collection (not shown) may further include.

For example, it is difficult to collect data on pedestrian roads in areas with small floating populations other than large cities. Accordingly, in the step of requesting reception of the pedestrian road measurement data, a specific pedestrian road with a low update rate, that is, data collection, is extracted from the sidewalk data pre-stored in the database, and based on the location of the specific pedestrian road requiring data collection It is possible to request specific walking road measurement data for a specific walking road from a plurality of pedestrians located within a preset radius.

Here, the plurality of pedestrians may be users who have installed an application related to the method for acquiring pedestrian road data according to an embodiment of the present invention on a mobile device, and have collected or transmitted walking road measurement data at least once. It may be an existing user.

Moreover, the step of requesting the reception of the pedestrian road measurement data may provide reward information provided according to data upload when the data is requested. For example, in the step of requesting the reception of the walking road measurement data, when the specified walking road measurement data is received, the level of compensation (for example, the second compensation or more) and a high reference weight score are provided. can

More specifically, in step S140, when the specified walking road measurement data for a specific walking road is received by request, the highest basic weight is added to the specified walking road measurement data, and image data in the specified walking road measurement data An additional weight may be additionally added according to each item of the size, time, and quality of the walking road and the length of the pedestrian road measured through the specified walking road measurement data.

For example, if the walking road measurement data specified through step S110 is received, step S140 may add a basic weight of score 3 to the step S110. Thereafter, in step S140, if the score for each item is higher than the reference value for each item, the score assigned for each item may be added as an additional weight, and if it is lower than the reference value, the additional weight may not be added. Accordingly, in step S140, the additional weights are added to the existing weights and sequentially arranged according to the summed weighting degree, so that a first reward between 0 and 2 points, a second reward between 2 and 4 points, and 4 and 6 points A reward can be provided to the pedestrian by applying a degree of compensation, such as the third reward for sai and the fourth reward for 6 points or more.

2 is a diagram to explain an example of acquiring pedestrian road data through pedestrian movement according to an embodiment of the present invention.

Referring to FIG. 2 , a pedestrian 10 walks on a pedestrian road 210 with a mobile device 200 . At this time, the pedestrian road 210 is a pedestrian-priority road on which vehicles do not travel, and the pedestrian road data acquisition system 100 according to an embodiment of the present invention acquires only data related to the pedestrian road 210 .

The pedestrian road data acquisition system 100 according to an embodiment of the present invention receives the walking road measurement data for the pedestrian road 210 collected through the mobile device 200 carried by the pedestrian 10, and the pedestrian road data , and through this, the sidewalk data is updated to provide the pedestrian 10 with a reward according to the degree of compensation.

Specifically, when the pedestrian 10 walks on the pedestrian road 210 while carrying the mobile device 200 , the mobile device 200 collects image data through a camera, and the pedestrian through a plurality of sensors The location data of ( 10 ), movement path sensor measurement data of the movement distance and movement time according to the location of the pedestrian 10 , and road inclination data are collected.

Accordingly, the pedestrian road data acquisition system 100 according to an embodiment of the present invention receives the pedestrian road measurement data including image data, location data, movement route data, and road slope data from the mobile device 200, The speed data according to the movement between the spaced points of the walking road 210 is calculated from the measured data, and the calculated speed data and the average speed data pre-stored in the database for the spaced points are compared to indicate the form and characteristics of the walking road. Acquire road data.

At this time, when the pedestrian 10 shoots image data of a moving picture for the pedestrian road 210 , the pedestrian road data acquisition system 100 according to an embodiment of the present invention receives the image data from the mobile device 200 in real time. It is possible to analyze the pedestrian road data and update it to the sidewalk data. Therefore, it is characterized in that the image data captured by the pedestrian 10 through the mobile device 200 is not stored in the mobile device 200 .

As shown in FIG. 2 , the pedestrian road 210 may be a straight road, and an obstacle such as a tree may be located. The pedestrian road data acquisition system 100 according to an embodiment of the present invention receives the walking road measurement data collected through the mobile device 200, and includes a walking road shape of a straight road and a walking road characteristic of a wooden obstacle. Data can be acquired in real time.

Thereafter, the pedestrian road data acquisition system 100 according to an embodiment of the present invention compares the pedestrian road data with the sidewalk data previously stored in the database and updates the sidewalk data, thereby improving the validity and accuracy of the sidewalk data. can do it The sidewalk data is raw data for the pedestrian road 210, and may include a street shape, length, width, and characteristics for each pedestrian road designed during road construction.

Here, the database is included in the pedestrian road data acquisition system 100 according to the embodiment of the present invention, and may store and maintain sidewalk data and average speed data for the pedestrian road. Specifically, the database includes sidewalk data that is raw data of the street shape, length, width, and characteristics of the pedestrian road included in the map, and may include average speed data for each point (or junction) of the pedestrian road. In this case, the average speed data may be a speed value mechanically calculated for the length of the walking road included in the raw data, and there may be a difference from the speed data obtained due to the actual walking of the pedestrian 10 .

3 is a block diagram illustrating a detailed configuration of a pedestrian road data acquisition system according to an embodiment of the present invention.

Referring to FIG. 3 , the pedestrian road data acquisition system according to an embodiment of the present invention updates the sidewalk data using the walking road measurement data collected from a mobile device possessed by a pedestrian moving on the pedestrian road, and rewards accordingly. compensate

To this end, the pedestrian road data acquisition system 300 according to the embodiment of the present invention includes a data receiving unit 310 , a data processing unit 320 , a data updating unit 330 and a reward providing unit 340 , and a control unit ( 350) and a database 360 may be further included.

However, although FIG. 3 shows that the pedestrian road data acquisition system 300 according to an embodiment of the present invention communicates with a single mobile device 200, the present invention is not limited thereto and a plurality of mobile devices ( 200) and the devices of pedestrian road managers and data communication through 5G communication network may be possible.

The pedestrian road data acquisition system 300 according to an embodiment of the present invention forms a series of signal connection relationships with the mobile device 200 through the interface module 370 to enable data sharing on an open platform, Data may be stably stored and managed in the database 360 . In addition, a service for data sharing in the open platform may be provided through the control unit 350 .

Accordingly, a plurality of pedestrians or pedestrian road managers may access the open platform according to an embodiment of the present invention through a mobile device, and may share updated sidewalk data with each other.

The data receiving unit 310 receives the walking road measurement data obtained while moving the pedestrian road (or sidewalk) through the mobile device 200 carried by the pedestrian. Here, the walking road measurement data is data collected from the mobile device 200 , and image data acquired through a camera in the mobile device 200 , location data of pedestrians acquired through a GPS sensor and a gyro sensor, and movement path sensor measurement It may include data, road inclination data obtained through a tilt sensor.

The data receiver 310 may receive the walking road measurement data obtained from the mobile device 200 in real time, or may receive the walking road measurement data from the mobile device 200 at a time for every preset period. For example, the data receiving unit 310 may receive the walking road measurement data in real time whenever the pedestrian acquires the walking road measurement data through the mobile device 200, such as at 2:00 AM, Monday or the 15th of every month. The walking road measurement data may be received at a preset time point.

However, the video data may be an image or a video of a photo, and the video data of the video is not stored in the mobile device. In other words, when the pedestrian road data acquisition system 300 according to the embodiment of the present invention captures image data on the pedestrian road through the mobile device 200, it receives and analyzes it in real time through the 5G communication network, and after analysis may be characterized in that the image data is not stored in the mobile device 200 by deleting the image data.

The GPS sensor and the gyro sensor are sensors included in the mobile device 200 , and the data receiver 310 may receive movement path sensor measurement data indicating the movement distance and movement time by detecting the location of the pedestrian. More specifically, the mobile device 200 uses a GPS sensor and a gyro sensor to detect a location of a pedestrian moving on a pedestrian road, and a movement distance according to the movement of the pedestrian through changes in the pedestrian's walking speed, walking direction, and altitude. and movement path sensor measurement data indicating the movement time may be obtained. The movement path sensor measurement data is data obtained from a sensor in the mobile device, and information related to the movement distance and movement time according to the movement of the pedestrian, the movement direction, the time spent at one point, and the route to avoid obstacles or structures may further include.

Furthermore, the mobile device 200 may acquire movement path sensor measurement data including tilt information of the mobile device according to the movement of the pedestrian, a camera direction, and a camera photographing position. In an embodiment, the mobile device 200 uses a gyro sensor, a tilt sensor, and a camera to move including tilt information of the mobile device, whether the road is inclined or hilly, tilt angle, and a walking road image according to the camera direction and camera shooting location Path sensor measurement data may be acquired.

For example, the pedestrian may walk after putting the mobile device in a bag or clothes, walk while holding the mobile device in hand, or walk while looking at the mobile device. Accordingly, the mobile device 200 obtains the movement distance and movement time according to the movement of the pedestrian through the GPS sensor, the acceleration sensor, the gyro sensor, and the inclination sensor, and obtains the inclination information and the camera direction to determine whether the road is sloped or hilly. It can detect and determine the inclination angle of a slope or hill.

Accordingly, the pedestrian road data acquisition system 300 according to the embodiment of the present invention provides not only the moving distance and moving time, but also the moving direction, the time spent at one point, the path to avoid obstacles or structures, and the slope or hill of the road. By receiving the movement path sensor measurement data including whether or not, the inclination angle, and the walking road image, it is possible to measure more specific information on the walking road.

Here, the mobile device 200 may be at least one terminal among a smart phone, a desktop PC, a mobile terminal, a PDA, a notebook computer, a tablet PC, and a wearable device, and the mobile device acquires pedestrian data according to an embodiment of the present invention An application related to the system 300 may be installed. Accordingly, the data receiving unit 310 may detect that the walking road measurement data is collected in the mobile device through the application, thereby enabling real-time reception of the walking road measurement data or reception at a preset time point. Furthermore, the mobile device 200 may receive a user's selection input, and may include a touch screen type display capable of performing an operation of a predetermined set of functions through a screen including a touch-sensing area. , since it may be a device including one or more physical buttons or virtual buttons, the type and shape are not limited thereto.

The data processing unit 320 calculates speed data according to the movement of a pedestrian from the measurement data of the pedestrian road to obtain pedestrian road data indicating the shape and characteristics of the pedestrian road.

The data processing unit 320 calculates speed data according to the movement of the pedestrian from the measurement data of the pedestrian road, and compares the calculated speed data with the average speed data according to the movement between the distance points previously stored in the database 360 to determine the speed of the pedestrian road. Pedestrian road data indicating the shape and characteristics may be acquired. In addition, the data processing unit 320 is a pedestrian road of at least any one of the shape of the walking road of the straight walking road and the curved walking road and whether there are stairs, hills, Braille blocks, elevators or escalators, whether there are obstacles, and whether there are danger areas. can acquire the form and characteristics of

For example, when the pedestrian moves from point A to point B on the pedestrian road, the data processing unit 320 receives speed data of the average speed according to the moving distance and moving time from the walking road measurement data obtained due to the movement of the pedestrian. can be calculated. Accordingly, the data processing unit 320 compares the average speed data mechanically calculated for the distance from the point A to the point B stored in the database 360 and the calculated speed data, and the walking road of the straight walking road and the curved walking road. It is possible to acquire the characteristics of the pedestrian road at least one or more of the shape, whether there are stairs, whether there is a hill, whether there is a braille block, whether there is an elevator or an escalator, whether there is an obstacle, and whether there is a danger area.

For example, assuming that the walking road from point A to point B is a straight road, if the calculated speed data from point A to point B is faster than the average speed data stored in the database 360, the data processing unit 320 is located on the pre-stored straight pedestrian road between point A and point B, and it is determined that the obstacle or dangerous area (for example, construction, etc.) that hindered the movement of pedestrians has been resolved, and whether there are obstacles to the area and whether there is a danger area of pedestrian road characteristics can be newly acquired.

As another example, if the calculated speed data from point A to point B is slower than the average speed data stored in the database 360, the data processing unit 320 is a step on the pre-stored straight walking road between point A and point B; It is determined that any one of a hill and an elevator such as an elevator or an escalator is newly installed, and the pedestrian road characteristics of whether there are stairs, hills, braille blocks, and elevators or escalators for the relevant area can be newly acquired.

Accordingly, the data processing unit 320 may compare the calculated speed data with the average speed data stored in the database 360 to determine the shape and characteristics of the pedestrian road, and the pedestrian road data indicating the shape and characteristics of the sidewalk on which only pedestrians move. can be obtained.

In addition, the data processing unit 320 can acquire pedestrian road data by identifying whether there are obstacles on the pedestrian road in real time through the image data, and detect the degree of risk in the case of an obstacle that interferes with or harms the movement of the pedestrian. may be For example, if construction materials generated at a nearby construction site fall on the pedestrian road, the pedestrian moves on the pedestrian road and collects image data by photographing the construction materials, and the data processing unit 320 recognizes obstacles in the pedestrian road and , according to the size, type, and occurrence time of the obstacle, the level of risk for the obstacle that prevents the pedestrian from walking may be detected in stages (eg, the first level of risk, the second level of risk, and the third level of risk).

Accordingly, the data update unit 330 may update the risk level for each step to the sidewalk data together with the pedestrian road data, and the pedestrian road data acquisition system 300 according to an embodiment of the present invention may update the updated sidewalk data in real time. It can be shared by providing it to pedestrians or pedestrian road managers.

For this reason, the pedestrian road data acquisition system 300 according to an embodiment of the present invention may detect a level of risk on or around the pedestrian road and share it with a plurality of pedestrians or pedestrian road managers.

The data updater 330 compares the pedestrian road data with the previously stored sidewalk data to update the sidewalk data for the pedestrian road.

The data updater 330 compares the pedestrian road data with sidewalk data previously stored for a corresponding area, and updates the sidewalk data based on the pedestrian road data to improve effectiveness and accuracy. For example, the data updater 330 compares the pedestrian road data obtained for the separation distance from the point A to the point B with the previously stored sidewalk data, and updates the sidewalk data from the pedestrian road data to ensure validity and accuracy can be improved. The sidewalk data may be raw data for a pedestrian road, and may include a street shape, length, width, and characteristics for each pedestrian road designed during road construction.

In this case, the pre-stored sidewalk data and average speed data may be information stored and maintained in the database 360, and may be received from an external server that holds data of distance shape, length, width, and characteristics for each road. .

The sidewalk data updated by the data updater 330 is provided to a plurality of pedestrians or pedestrian road managers using the pedestrian road data acquisition system 300 according to an embodiment of the present invention, and the plurality of pedestrians or pedestrian road managers It becomes possible to share updated news data from different locations.

The reward providing unit 340 provides a reward to the pedestrian to a degree of compensation according to the information characteristic of the walking road measurement data.

The reward providing unit 340 adds a basic weight to the walking road measurement data, and adds it according to the size, time, and quality of image data in the walking road measurement data and the length of the walking road measured through the walking road measurement data. A reward may be provided to a pedestrian by adding weights and applying different compensation degrees to the pedestrian road measurement data according to the summed weighting degree.

For example, a score of 0.5, 1, 1.5, and 2 is given for each item of image data size (based on 720p), time (based on 1 minute), image quality (based on normal image quality), and pedestrian length (based on 1 km). , when the walking road measurement data is received from the mobile device through the data receiving unit 310 , the reward providing unit 340 may add a basic weight of 1 score. Thereafter, the reward providing unit 340 may add a score given for each item as an additional weight if it is higher than the reference value for each item, and may not add an additional weight if it is lower than the reference value. Accordingly, the reward providing unit 340 adds the additional weights to the existing weights, and sequentially arranges them according to the summed weighting degree to obtain a first reward between points 0 and 2, a second reward between points 2 and 4, and 4 A reward may be provided to the pedestrian by applying a degree of compensation, such as a third compensation between points and 6 points and a fourth compensation between points 6 and more.

According to the embodiment, the reward providing unit 340 provides any one or more rewards of cyber cash, gift certificates, coupons, points that can be converted into cash, gifts, rewards, and certificates, and includes a first reward, a second reward, a third reward, and As the fourth reward progresses, a higher amount of reward or a plurality of rewards may be provided.

The controller 350 requests reception of specific walking road measurement data from a pedestrian located within a preset radius based on a specific walking road for which data collection is requested.

For example, it is difficult to collect data on pedestrian roads in areas with small floating populations other than large cities. Accordingly, the controller 350 extracts a specific pedestrian road with a low update rate, that is, a low data collection rate, from among the sidewalk data pre-stored in the database 360 , and a preset radius based on the location of the specific pedestrian road requiring data collection. It is possible to request specific walking road measurement data for a specific walking road from a plurality of pedestrians located within.

Here, the plurality of pedestrians may be users who have installed an application related to the walking road data acquisition system 300 according to an embodiment of the present invention in the mobile device 200, and at least once, the pedestrian road measurement data It may be a user who has collected or transmitted

Moreover, when requesting data, the controller 350 may provide reward information provided according to data upload. For example, the controller 350 may inform the pedestrian that, upon receiving the specified walking road measurement data, a corresponding compensation degree (eg, second compensation or more) and a high reference weight score are provided.

More specifically, when the reward providing unit 340 receives the specified walking road measurement data for a specific walking road at the request of the controller 350, the highest basic weight is added to the specified walking road measurement data, An additional weight may be additionally added according to each item of the size, time, and quality of image data in the specified walking road measurement data and the length of the walking road measured through the specified walking road measurement data.

For example, when the specified walking road measurement data is received through the data receiving unit 310 , the reward providing unit 340 may add a basic weight of 3 points. Thereafter, the reward providing unit 340 may add a score given for each item as an additional weight if it is higher than the reference value for each item, and may not add an additional weight if it is lower than the reference value. Accordingly, the reward providing unit 340 adds the additional weights to the existing weights, and sequentially arranges them according to the summed weighting degree to obtain a first reward between points 0 and 2, a second reward between points 2 and 4, and 4 A reward may be provided to the pedestrian by applying a degree of compensation, such as a third compensation between points and 6 points and a fourth compensation between points 6 and more.

Although the description of the system of FIG. 3 is omitted, it is obvious to those skilled in the art that the system according to the present invention may include all the contents described with reference to FIGS. 1 and 2 .

The device described above may be implemented as a hardware component, a software component, and/or a combination of the hardware component and the software component. For example, the apparatus and components described in the embodiments may include, for example, a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable gate array (FPGA). , a programmable logic unit (PLU), microprocessor, or any other device capable of executing and responding to instructions, may be implemented using one or more general purpose or special purpose computers. The processing device may execute an operating system (OS) and one or more software applications running on the operating system. A processing device may also access, store, manipulate, process, and generate data in response to execution of the software. For convenience of understanding, although one processing device is sometimes described as being used, one of ordinary skill in the art will recognize that the processing device includes a plurality of processing elements and/or a plurality of types of processing elements. It can be seen that can include For example, the processing device may include a plurality of processors or one processor and one controller. Other processing configurations are also possible, such as parallel processors.

Software may comprise a computer program, code, instructions, or a combination of one or more thereof, which configures a processing device to operate as desired or is independently or collectively processed You can command the device. The software and/or data may be any kind of machine, component, physical device, virtual equipment, computer storage medium or apparatus, to be interpreted by or to provide instructions or data to the processing device. , or may be permanently or temporarily embody in a transmitted signal wave. The software may be distributed over networked computer systems and stored or executed in a distributed manner. Software and data may be stored in one or more computer-readable recording media.

The method according to the embodiment may be implemented in the form of program instructions that can be executed through various computer means and recorded in a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, etc. alone or in combination. The program instructions recorded on the medium may be specially designed and configured for the embodiment, or may be known and available to those skilled in the art of computer software. Examples of the computer-readable recording medium include magnetic media such as hard disks, floppy disks and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic such as floppy disks. - includes magneto-optical media, and hardware devices specially configured to store and execute program instructions, such as ROM, RAM, flash memory, and the like. Examples of program instructions include not only machine language codes such as those generated by a compiler, but also high-level language codes that can be executed by a computer using an interpreter or the like. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the embodiments, and vice versa.

As described above, although the embodiments have been described with reference to the limited embodiments and drawings, various modifications and variations are possible from the above description by those skilled in the art. For example, the described techniques are performed in an order different from the described method, and/or the described components of the system, structure, apparatus, circuit, etc. are combined or combined in a different form than the described method, or other components Or substituted or substituted by equivalents may achieve an appropriate result.

Therefore, other implementations, other embodiments, and equivalents to the claims are also within the scope of the following claims.

Claims (14)

Receiving pedestrian road measurement data obtained while moving on a pedestrian road through a mobile device carried by a pedestrian;
calculating speed data according to the movement of a pedestrian from the walking road measurement data to obtain pedestrian road data indicating the shape and characteristics of the pedestrian road;
updating the sidewalk data for the pedestrian road by comparing the pedestrian road data with pre-stored sidewalk data; and
providing a reward to the pedestrian with a degree of compensation according to the information characteristic of the walking road measurement data;
Pedestrian road data acquisition method comprising a. According to claim 1,
Receiving the walking road measurement data includes:
Pedestrian road data acquisition method for receiving the pedestrian road measurement data including image data captured while the pedestrian is moving on the pedestrian road using the mobile device. 3. The method of claim 2,
Receiving the walking road measurement data includes:
Pedestrian location data obtained through the GPS sensor and gyro sensor in the mobile device while the pedestrian moves on the pedestrian road, movement path sensor measurement data indicating the movement distance and movement time according to the movement of the pedestrian, and within the mobile device A method of obtaining pedestrian road data for receiving the pedestrian road measurement data including road slope data acquired through a tilt sensor. According to claim 1,
Receiving the walking road measurement data includes:
A method for obtaining pedestrian road data, wherein the walking road measurement data obtained from the mobile device is received in real time or the walking road measurement data is received from the mobile device at a time for a predetermined period of time. According to claim 1,
The step of acquiring the pedestrian road data is
The pedestrian road data indicating that the speed data according to the movement of the pedestrian is calculated from the walking road measurement data, and the speed data and the average speed data according to the movement between the stored distance points are compared to obtain the shape and characteristics of the walking road A method for acquiring pedestrian road data. 6. The method of claim 5,
The step of acquiring the pedestrian road data is
Characterized in acquiring the shape and characteristics of the pedestrian road at least one of the shape of the pedestrian road of the straight pedestrian road and the curved pedestrian road, whether there are stairs, whether there is a hill, whether there is an elevator or an escalator, whether there is an obstacle, and whether there is a danger area A method of acquiring pedestrian road data. 7. The method of claim 6,
The step of acquiring the pedestrian road data is
Pedestrian road data acquisition method, characterized in that acquiring the pedestrian road data for a sidewalk on which only pedestrians move through the shape and characteristics of the pedestrian road. According to claim 1,
The step of updating the press data is
A method of obtaining pedestrian road data by comparing the pedestrian road data with sidewalk data previously stored for a corresponding area, and updating the sidewalk data based on the pedestrian road data. 3. The method of claim 2,
The step of providing the reward
A basic weight is added to the walking road measurement data, and additional weights are added according to each item of the size, time, and image quality of the image data in the walking road measurement data and the length of the walking road measured through the walking road measurement data and applying different compensation degrees to the pedestrian road measurement data according to the summed weighting degree to provide a reward to the pedestrian. According to claim 1,
Requesting the reception of specific pedestrian road measurement data to a pedestrian located within a preset radius based on a specific pedestrian road requiring data collection
Pedestrian road data acquisition method further comprising a. 11. The method of claim 10,
The step of requesting the reception of the walking road measurement data is
The specific pedestrian road with a low update rate is extracted from the previously stored sidewalk data, and the information on the specific pedestrian road is given to a plurality of pedestrians located within a preset radius based on the location of the specific pedestrian road requiring data collection. A method for obtaining pedestrian road data, characterized in that it requests specific pedestrian road measurement data, and provides reward information provided according to data upload when the data is requested. 12. The method of claim 11,
The step of providing the reward
When receiving the specified walking road measurement data for the specific walking road by request, the highest basic weight is added to the specified walking road measurement data, the size of the image data in the specified walking road measurement data; Pedestrian road data acquisition method, characterized in that additional weight is additionally added according to each item of time and image quality and the length of the pedestrian road measured through the specified pedestrian road measurement data. a data receiver configured to receive walking road measurement data obtained while moving on a pedestrian road through a mobile device carried by a pedestrian;
a data processing unit calculating speed data according to the movement of a pedestrian from the walking road measurement data to obtain walking road data indicating the shape and characteristics of the pedestrian road;
a data update unit that compares the pedestrian road data with pre-stored sidewalk data to update the sidewalk data for the pedestrian road; and
A reward providing unit that provides a reward to the pedestrian with a degree of compensation according to the information characteristic of the walking road measurement data
Pedestrian road data acquisition system comprising a. 14. The method of claim 13,
A control unit that requests reception of specific walking road measurement data from a pedestrian located within a preset radius based on a specific walking road requiring data collection
Pedestrian road data acquisition system further comprising a.

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