KR20220086798A - Acquisition system for pedestrian path data using social mapping and the method thereof - Google Patents

Abstract

The present invention relates to a system and method for obtaining pedestrian road data using data collected through a mobile device possessed by a pedestrian moving on the pedestrian road, and to a pedestrian moving the pedestrian road through a sensor in the mobile device A data acquisition unit that acquires movement path sensor measurement data of the movement distance and movement time according to the location of the pedestrian, and the walking speed data according to the movement of the pedestrian is calculated from the movement route sensor measurement data to indicate the form and characteristics of the walking road and a data processing unit acquiring road data and a data updating unit updating the sidewalk data by comparing the pedestrian road data with pre-stored sidewalk data.

Description

Pedestrian road information provision service for the physically disabled {ACQUISITION SYSTEM FOR PEDESTRIAN PATH DATA USING SOCIAL MAPPING AND THE METHOD THEREOF}

The present invention relates to a system and method for acquiring pedestrian road data using social mapping, and more particularly, to a technology for acquiring pedestrian road data using data collected through a mobile device possessed by a pedestrian moving on a pedestrian road. it's about

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.

SUMMARY OF THE INVENTION An object of the present invention is to obtain information about a path, that is, pedestrian road data, through a sensor in a mobile device possessed by a pedestrian moving on a pedestrian road.

In addition, an object of the present invention is to use the sensor in the mobile device possessed by the pedestrian to determine the shape of the walking road of the straight walking road and the curved walking road and whether there are stairs, hills, elevators or escalators, whether there are obstacles, and whether there are danger areas. We want to acquire pedestrian road data representing pedestrian road characteristics.

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

In addition, an object of the present invention is to convert the distance according to the movement of the pedestrian into time based on the pedestrian road data obtained according to the movement of the pedestrian and apply it to various services using time and movement (movement).

The pedestrian road data acquisition system according to an embodiment of the present invention is a data acquisition unit that acquires movement route sensor measurement data of a movement distance and movement time according to a location of a pedestrian moving on a pedestrian road through a sensor in a mobile device possessed by the pedestrian , a data processing unit that calculates walking speed data according to the movement of a pedestrian from the movement path sensor measurement data to obtain walking road data indicating the shape and characteristics of a pedestrian road, and the sidewalk data by comparing the walking road data with pre-stored sidewalk data and a data update unit for updating the .

The data acquisition unit detects a location of a pedestrian moving on a pedestrian road using a GPS sensor and an acceleration sensor in the mobile device, and the movement distance and movement time according to the movement of the pedestrian through changes in the pedestrian's walking speed, direction, and altitude It is possible to obtain the movement path sensor measurement data representing

The data processing unit calculates the walking speed data according to the movement of the pedestrian from the movement path sensor measurement data, and compares the walking speed data with the average speed data according to the movement between the pre-stored separation distance points to determine the shape and characteristics of the walking road can be obtained.

According to the comparison result, the data processing unit features at least any one or more of the pedestrian road shape of the straight pedestrian road and the curved pedestrian road, whether there are stairs, whether there is a hill, whether the elevator or escalator is lifted, whether there is an obstacle, and whether there is a danger area. can be obtained.

The data processing unit may acquire the pedestrian road data for the sidewalk on which only pedestrians move through the shape and characteristics of the pedestrian road.

The data updater may combine the pedestrian road data and sidewalk data previously stored for a corresponding area.

In addition, the pedestrian road data acquisition system according to an embodiment of the present invention may further include a calculator for inversely calculating the distance according to the movement of the pedestrian in time using the pedestrian road data.

The calculation unit calculates the distance according to the pedestrian's movement in time in consideration of the movement path sensor measurement data based on the walking road data indicating the shape and characteristics of the pedestrian road, and the time according to the movement between the separation distance points of the pedestrian can be converted to

The pedestrian road data acquisition method according to an embodiment of the present invention includes: acquiring movement route sensor measurement data of a movement distance and movement time according to a location of a pedestrian moving on a pedestrian road through a sensor in a mobile device possessed by the pedestrian; Obtaining walking road data indicating the shape and characteristics of a pedestrian road by calculating walking speed data according to the movement of a pedestrian from the movement path sensor measurement data, and updating the sidewalk data by comparing the walking road data with pre-stored sidewalk data includes steps.

The step of obtaining the movement path sensor measurement data may include detecting the position of a pedestrian moving on the pedestrian road using a GPS sensor and an acceleration sensor in the mobile device, and moving the pedestrian through a change in the pedestrian's walking speed, direction, and altitude. It is possible to obtain the movement path sensor measurement data indicating the movement distance and movement time according to the .

The step of obtaining the walking road data includes calculating the walking speed data according to the movement of the pedestrian from the movement path sensor measurement data, and comparing the walking speed data with the average speed data according to the movement between the pre-stored separation distance points. Pedestrian road shape and characteristics can be acquired.

According to the comparison result, the step of acquiring the pedestrian road data includes at least any 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. By acquiring the above characteristics of the pedestrian road, the pedestrian road data for the sidewalk on which only pedestrians move may be acquired.

In the updating of the sidewalk data, the pedestrian road data and sidewalk data previously stored for a corresponding area may be combined.

In addition, the method for obtaining pedestrian road data according to an embodiment of the present invention may further include inversely calculating a distance according to the movement of a pedestrian in time using the pedestrian road data.

In the inverse calculating step, based on the walking road data indicating the shape and characteristics of the pedestrian road, inversely calculating the distance according to the pedestrian's movement in time in consideration of the movement path sensor measurement data, the movement between the separation distance points of the pedestrian time can be calculated according to

According to an embodiment of the present invention, by using a sensor in a mobile device possessed by a pedestrian, the shape of the walking road of a straight walking road and a curved walking road, whether there are stairs, whether there is a hill, whether an elevator or an escalator is lifted, whether there is an obstacle, and whether there is a danger area It is possible to obtain pedestrian road data indicating the pedestrian road characteristics of

In addition, according to an embodiment of the present invention, the validity and accuracy of the sidewalk data can be improved by updating the sidewalk data stored in advance for the corresponding sidewalk based on the pedestrian data obtained according to the movement of the pedestrian.

In addition, according to an embodiment of the present invention, the distance according to the movement of the pedestrian is converted into time based on the walking road data obtained according to the movement of the pedestrian, and it can be applied to various services using time and movement (movement).

1 is a block diagram illustrating a detailed configuration of a pedestrian road data acquisition system using social mapping 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 flowchart illustrating a method for acquiring pedestrian road data using social mapping 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 block diagram illustrating a detailed configuration of a system for acquiring pedestrian road data using social mapping according to an embodiment of the present invention.

Referring to FIG. 1 , the pedestrian road data acquisition system according to an embodiment of the present invention acquires pedestrian road data using data collected according to the movement of the pedestrian road through a mobile device possessed by the pedestrian, and through the pedestrian road data Update the press data.

To this end, the pedestrian road data acquisition system 100 according to an embodiment of the present invention includes a data acquisition unit 110 , a data processing unit 120 , and a data update unit 130 , and further includes a calculation unit 140 . can do.

In this case, social mapping does not unilaterally collect and process pedestrian road data by the pedestrian road data acquisition system 100, which is a service provider, but instead uses the pedestrian road data collected from a plurality of users as pre-stored sidewalk data or It refers to proper mapping to map data.

The data acquisition unit 110 acquires movement path sensor measurement data of a movement distance and movement time according to a location of a pedestrian moving on a pedestrian road through a sensor in a mobile device carried by the pedestrian.

The pedestrian road data acquisition system 100 according to an embodiment of the present invention may be an application included in a mobile device possessed by a user, and the mobile device is a smart phone, a desktop PC, a mobile terminal, a PDA, a notebook computer, and a tablet. It may be at least one terminal among a PC and a wearable device. 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.

Accordingly, the GPS sensor and the acceleration sensor may be sensors included in the mobile device, and the data acquisition unit 110 detects the location of the pedestrian through the sensor in real time to obtain movement path sensor measurement data indicating the movement distance and movement time. can do.

In more detail, the data acquisition unit 110 detects the location of a pedestrian moving on the pedestrian road using a GPS sensor and an acceleration sensor in the mobile device, and controls the movement of the pedestrian through changes in the pedestrian's walking speed, direction, and altitude. It is possible to obtain movement path sensor measurement data indicating the movement distance and movement time. 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 data acquisition unit 110 may acquire movement path sensor measurement data including inclination information of the mobile device according to the movement of the pedestrian, a camera direction, and a camera photographing position. In an embodiment, the data acquisition unit 110 uses a gyro sensor and a camera included in the mobile device to obtain the inclination information of the mobile device, whether the road is inclined or hilly, the inclination angle and the walking road image according to the camera direction and the camera shooting location. It is possible to acquire movement path sensor measurement data including

For example, the pedestrian walks after putting the mobile device in a bag or clothes, walking with the mobile device in hand, walking while looking at the mobile device, or walking while photographing with the camera of the mobile device on can do. Accordingly, the data acquisition unit 110 obtains the movement distance and movement time according to the movement of the pedestrian through the GPS sensor, the acceleration sensor, and the gyro sensor, and obtains the inclination information and camera direction of the mobile device to determine whether the road is sloped or hilly , and it is possible to determine the inclination angle of the slope or hill. Also, when the pedestrian walks while photographing by turning on the camera of the mobile device, the data acquisition unit 110 may acquire an image of the walking road.

Accordingly, the pedestrian road data acquisition system 100 according to an 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 that avoids obstacles or structures, and the slope or hill of the road. By acquiring movement path sensor measurement data including whether or not, inclination angle, and a walking road image, it is possible to measure more specific information on a walking road.

The data processing unit 120 calculates walking speed data according to the movement of the pedestrian from the movement path sensor measurement data to obtain walking road data indicating the shape and characteristics of the pedestrian road.

The data processing unit 120 calculates an average speed according to the movement of the pedestrian, that is, walking speed data from the movement path sensor measurement data, and compares the calculated walking speed data with the average speed data according to the movement between the pre-stored separation distance points to walk. Road types and characteristics can be obtained. For example, when the pedestrian moves from point A to point B on the pedestrian road, the data processing unit 120 calculates the average walking speed according to the moving distance and moving time from the movement path sensor measurement data obtained due to the movement of the pedestrian. data can be calculated. Accordingly, the data processing unit 120 compares the average speed data mechanically calculated from the distance from the point A to the point B, received from the database unit (not shown) or an external server, and the walking speed data, and performs a straight walking road and a curved walk. It is possible to acquire the characteristics of the pedestrian road at least one of the type of the pedestrian road of the 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.

For example, it is assumed that the walking road from point A to point B is a straight-line walking road, and if the walking speed data from point A to point B is faster than the average speed data, the data processing unit 120 is It is determined that an obstacle or dangerous area (for example, construction, etc.) that was located on a straight pedestrian road between points and hindered the movement of pedestrians has been resolved, and newly acquired pedestrian characteristics of whether there are obstacles or danger areas for the area. can do.

As another example, if the walking speed data from point A to point B is slower than the average speed data, the data processing unit 120 may be configured such as stairs, hills and elevators or escalators on a pre-stored straight walking road between point A and point B. By determining that any one of the elevators is newly installed, it is possible to newly acquire pedestrian road characteristics of whether there are stairs, hills, and elevators or escalators for the corresponding area.

Accordingly, the data processing unit 120 may compare the walking speed data with the average speed data to determine the shape and characteristics of the pedestrian road, and may acquire the walking road data for the sidewalk on which only pedestrians move.

The data update unit 130 updates the sidewalk data by comparing the pedestrian road data with the previously stored sidewalk data.

The data updater 130 may improve the validity and accuracy of the sidewalk data by combining the pedestrian road data with the sidewalk data previously stored for the area. For example, the data updater 130 compares the walking 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 unit (not shown) of the pedestrian road data acquisition system 100 according to an embodiment of the present invention, and the distance form for each road; It may be received from an external server that holds data of length, width and characteristics.

The calculator 140 may inversely calculate the distance according to the movement of the pedestrian as time by using the walking road data.

The calculator 140 inversely calculates the distance according to the pedestrian's movement as time in consideration of the movement path sensor measurement data based on the walking road data indicating the shape and characteristics of the pedestrian road, and the time according to the movement between the separation distance points of the pedestrian. can be converted to

For example, if it is assumed that the walking road from point C to point D is a curved pedestrian road including a right turn course, and there is an escalator just before reaching point D after turning right, the calculation unit 140 calculates the above-described pedestrian road form And, based on the walking road data of the feature, considering the movement distance from the movement path sensor measurement data according to the movement of the pedestrian from the point C to the point D, the time or distance required to pass the escalator is excluded ( For example, it is possible to inversely calculate the travel time and average time only for moving on a general pedestrian road excluding an escalator, that is, a pedestrian road type (eg, a curved pedestrian road including a right turn course).

Accordingly, the calculator 140 may convert a pure movement time or an average time according to movement between points of a separation distance excluding the pedestrian road feature.

The pedestrian road data acquisition system 100 according to an embodiment of the present invention inversely calculates the distance according to the pedestrian's movement as time using the pedestrian road data, thereby providing a specific reward for the distance or time the pedestrian has moved. For example, it may be applicable to services that pay points, money, goods, gifts, rewards, certificates, etc.).

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 present invention is characterized in that only data related to the pedestrian road 210 is acquired.

The pedestrian road data acquisition system and method according to an embodiment of the present invention may be an application installed on the mobile device 200 possessed by the pedestrian, and the mobile device 200 is not limited to a smartphone, but is worn on the wrist. It may be a wearable device that does

As an example, when the pedestrian 10 walks on the pedestrian road 210 while carrying the mobile device 200 , the present invention provides a movement distance according to the location of the pedestrian 10 through a sensor in the mobile device 200 and Acquire movement path sensor measurement data of movement time. Accordingly, the present invention calculates walking speed data according to the movement between the spaced points of the walking road 210 from the movement path sensor measurement data, and compares the walking speed data with the average speed data stored in advance for the spaced points on the walking road. Pedestrian road data indicating the shape and characteristics may be acquired. Here, the pre-stored average speed data may be received from the external server 300 .

As shown in FIG. 2 , the pedestrian road 210 may be a straight road, and an obstacle such as a tree may be located. In the present invention, using the movement path sensor measurement data collected through the mobile device 200, it is possible to acquire in real time walking road data including the pedestrian road shape of a straight road and the walking road characteristics of wooden obstacles.

Thereafter, according to the present invention, the validity and accuracy of the sidewalk data can be improved by comparing the pedestrian road data with the sidewalk data received from the external server 300 and updating the sidewalk data. 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.

The external server 300 may include 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 walking speed data obtained due to the actual walking of the pedestrian 10 .

3 is a flowchart illustrating a method for acquiring pedestrian road data using social mapping according to an embodiment of the present invention.

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

Referring to FIG. 3 , in step 310, movement path sensor measurement data of a movement distance and movement time according to a location of a pedestrian moving on a pedestrian road is acquired through a sensor in a mobile device carried by the pedestrian.

In step 310, the location of the pedestrian moving on the pedestrian road is detected using the GPS sensor and the acceleration sensor in the mobile device, and the movement distance and movement time according to the movement of the pedestrian are displayed through changes in the pedestrian's walking speed, direction, and altitude. It is possible to acquire movement path sensor measurement data. 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, in step 310, movement path sensor measurement data including information on inclination of the mobile device according to the movement of the pedestrian, a camera direction, and a camera photographing position may be obtained. In an embodiment, step 310 uses a gyro sensor and a camera included in the mobile device to determine whether the road is inclined or hilly according to the inclination information of the mobile device, the camera direction and the camera shooting location, the inclination angle, and the movement path including the walking road image. It is possible to acquire sensor measurement data.

Accordingly, step 310 of the pedestrian road data acquisition method according to an embodiment of the present invention includes 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 acquiring movement path sensor measurement data including whether or not, inclination angle, and a walking road image, it is possible to measure more specific information on a walking road.

In step 320, walking speed data according to the movement of the pedestrian is calculated from the movement path sensor measurement data to obtain walking road data indicating the shape and characteristics of the pedestrian road.

Step 320 calculates walking speed data according to the movement of the pedestrian from the movement path sensor measurement data, and compares the calculated walking speed data with the average speed data according to the movement between the pre-stored distance points to obtain the walking road shape and characteristics. can

Accordingly, step 320 compares the average speed data mechanically calculated from the distance between the separated points received from the database or an external server with the walking speed data to determine the shape of the walking road of the straight walking road and the curved walking road, whether there are stairs, whether it is a hill, It is possible to acquire pedestrian road data for a sidewalk on which only pedestrians move by acquiring at least one or more pedestrian road characteristics among whether an elevator or an escalator is an elevator, an obstacle, and a danger area.

Through this, step 320 compares the walking speed data with the average speed data to determine the shape and characteristics of the pedestrian road, and it is possible to acquire the pedestrian road data for the sidewalk on which only pedestrians move.

In step 330, the sidewalk data is updated by comparing the pedestrian road data with the previously stored sidewalk data.

In step 330, the validity and accuracy of the sidewalk data may be improved by combining the pedestrian road data and the sidewalk data previously stored for the area.

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

In addition, the method for obtaining pedestrian road data according to an embodiment of the present invention may further include step 340 of inversely calculating the distance according to the movement of the pedestrian in time using the pedestrian road data.

In step 340, based on the pedestrian road data indicating the shape and characteristics of the pedestrian road, the distance according to the pedestrian's movement is inversely calculated as time in consideration of the movement path sensor measurement data to convert the time according to the movement between the separation distance points of the pedestrian. can

In the pedestrian road data acquisition method according to an embodiment of the present invention, by inversely calculating the distance according to the pedestrian's movement as time using the pedestrian road data through step 340, a specific reward for the distance or time traveled by the pedestrian (reward example) For example, it may be applicable to a service that pays points, money, goods, gifts, rewards, certificates, etc.).

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, devices 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 executed 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 (15)

a data acquisition unit that acquires movement path sensor measurement data of a movement distance and movement time according to a location of a pedestrian moving on a pedestrian road through a sensor in a mobile device possessed by the pedestrian;
a data processing unit for calculating walking speed data according to the movement of a pedestrian from the movement path sensor measurement data to obtain walking road data indicating a shape and characteristics of a pedestrian road; and
A data update unit for updating the sidewalk data by comparing the pedestrian road data with pre-stored sidewalk data
Pedestrian road data acquisition system comprising a. According to claim 1,
The data acquisition unit
The movement indicating the movement distance and movement time according to the movement of the pedestrian through changes in the pedestrian's walking speed, direction, and altitude by detecting the location of the pedestrian moving on the pedestrian road using the GPS sensor and the acceleration sensor in the mobile device A pedestrian road data acquisition system that acquires path sensor measurement data. According to claim 1,
The data processing unit
Calculating the walking speed data according to the movement of the pedestrian from the movement path sensor measurement data, and comparing the walking speed data with the average speed data according to the movement between the pre-stored distance points to obtain the form and characteristics of the walking road, Pedestrian road data acquisition system. 4. The method of claim 3,
The data processing unit
According to the comparison result, obtaining the characteristics of the pedestrian road at least one or more 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 Characterized in, Pedestrian road data acquisition system. 5. The method of claim 4,
The data processing unit
Pedestrian road data acquisition system, characterized in that it acquires 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 data update unit
A pedestrian road data acquisition system that combines the pedestrian road data and sidewalk data previously stored for a corresponding area. According to claim 1,
A calculation unit that inversely calculates the distance according to the movement of the pedestrian in time by using the pedestrian road data
Further comprising a, pedestrian road data acquisition system. 8. The method of claim 7,
the calculation unit
Based on the walking road data indicating the shape and characteristics of the pedestrian road, inversely calculating the distance according to the pedestrian's movement as time in consideration of the movement path sensor measurement data to convert the time according to the movement between the distance points of the pedestrian Characterized in that, pedestrian road data acquisition system. acquiring movement path sensor measurement data of a movement distance and movement time according to a location of a pedestrian moving on a pedestrian road through a sensor in a mobile device possessed by the pedestrian;
calculating walking speed data according to the movement of the pedestrian from the movement path sensor measurement data to obtain walking road data indicating the shape and characteristics of the pedestrian road; and
Comparing the pedestrian road data with pre-stored sidewalk data and updating the sidewalk data
Pedestrian road data acquisition method comprising a. 10. The method of claim 9,
The step of acquiring the movement path sensor measurement data is
The movement indicating the movement distance and movement time according to the movement of the pedestrian through changes in the pedestrian's walking speed, direction, and altitude by detecting the location of the pedestrian moving on the pedestrian road using the GPS sensor and the acceleration sensor in the mobile device A method for acquiring pedestrian road data, acquiring path sensor measurement data. 10. The method of claim 9,
The step of acquiring the pedestrian road data is
Calculating the walking speed data according to the movement of the pedestrian from the movement path sensor measurement data, and comparing the walking speed data with the average speed data according to the movement between the pre-stored distance points to obtain the form and characteristics of the walking road, Pedestrian road data acquisition method. 12. The method of claim 11,
The step of acquiring the pedestrian road data is
According to the comparison result, by acquiring the pedestrian road characteristics of at least one of the type 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, the pedestrian Pedestrian road data acquisition method, characterized in that acquiring the pedestrian road data for the sidewalk that only moves. 10. The method of claim 9,
The step of updating the press data is
A method of obtaining pedestrian road data by combining the pedestrian road data and sidewalk data previously stored for a corresponding area. 10. The method of claim 9,
Inversely calculating the distance according to the movement of the pedestrian in time using the walking road data
Further comprising a, pedestrian road data acquisition method. 15. The method of claim 14,
The inverse calculation step is
Based on the walking road data indicating the shape and characteristics of the pedestrian road, inversely calculating the distance according to the pedestrian's movement as time in consideration of the movement path sensor measurement data to convert the time according to the movement between the distance points of the pedestrian A method for acquiring pedestrian road data, characterized in that.

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