CN107766476B

CN107766476B - Crowdsourcing data processing method, device and equipment based on building block data and storage medium

Info

Publication number: CN107766476B
Application number: CN201710939460.4A
Authority: CN
Inventors: 吴云鹏; 吴俊�; 柯海帆
Original assignee: Beijing Baidu Netcom Science and Technology Co Ltd
Current assignee: Beijing Baidu Netcom Science and Technology Co Ltd
Priority date: 2017-09-30
Filing date: 2017-09-30
Publication date: 2021-08-24
Anticipated expiration: 2037-09-30
Also published as: CN107766476A

Abstract

The invention discloses a crowdsourcing data processing method, a device, equipment and a storage medium based on floor data, wherein the crowdsourcing data processing method comprises the following steps: acquiring floor block data and crowdsourcing data corresponding to a target object in the floor block data; determining the target position of the target object according to the photographing direction of the crowdsourcing data; and marking the target object according to the target position. According to the embodiment of the invention, the crowdsourcing data can be automatically marked through the server, so that the crowdsourcing data started by a machine is marked at the position, the recognition efficiency of the crowdsourcing data is improved, and the crowdsourcing data corresponding to the floor block edge object can be accurately marked.

Description

Crowdsourcing data processing method, device and equipment based on building block data and storage medium

Technical Field

The embodiment of the invention relates to a crowdsourcing data processing technology, in particular to a crowdsourcing data processing method, device and equipment based on floor block data and a storage medium.

Background

With the continuous development of map technology, obtaining map data in a crowdsourcing mode becomes a novel map data improvement method.

The crowdsourcing data is a method for handing a local map acquisition task to a user to acquire map information through a crowdsourcing task and sending the map information to a server as crowdsourcing data. And the server side manually marks crowdsourcing data by programmers and determines map information corresponding to the crowdsourcing data.

However, as the crowdsourcing task increases, it takes time and labor for programmers to manually mark crowdsourced data, and the crowdsourced data marking machine is inefficient.

Disclosure of Invention

The invention provides a crowdsourcing data processing method, device and equipment based on floor block data and a storage medium, and aims to improve the marking efficiency of crowdsourcing data.

In a first aspect, an embodiment of the present invention provides a crowdsourcing data processing method based on floor block data, including:

acquiring floor block data and crowdsourcing data corresponding to a target object in the floor block data;

determining the target position of the target object according to the photographing direction of the crowdsourcing data;

and marking the target object according to the target position.

In a second aspect, an embodiment of the present invention further provides a crowdsourcing data processing apparatus based on floor block data, including:

the crowdsourcing data acquisition module is used for acquiring floor block data and crowdsourcing data corresponding to a target object in the floor block data;

a target position determining module, configured to determine a target position of the target object according to a photographing direction of the crowdsourcing data in the crowdsourcing data obtaining module;

and the marking module is used for marking the target object according to the target position determined by the target position determining module.

In a third aspect, an embodiment of the present invention further provides an apparatus, where the apparatus includes:

one or more processors;

a storage device for storing one or more programs,

when executed by the one or more processors, cause the one or more processors to implement a method of floor block data based crowdsourcing data processing as in the first aspect.

In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program is executed by a processor to implement the method for crowd-sourced data processing based on floor block data as shown in the first aspect.

The crowdsourcing data processing method provided by the embodiment of the invention comprises the steps of firstly acquiring floor block data and crowdsourcing data corresponding to a target object in the floor block data; then determining the target position of the target object according to the photographing direction of the crowdsourcing data; and finally, marking the target object according to the target position. Compared with the prior art that crowdsourcing data is marked manually, the embodiment of the invention can automatically mark the crowdsourcing data through the server, realize that the position marking is carried out on the crowdsourcing data when the machine is started, improve the identification efficiency of the crowdsourcing data, and realize the accurate marking of the crowdsourcing data corresponding to the building block edge object.

Drawings

Fig. 1 is a flowchart of a crowdsourcing data processing method based on floor block data according to a first embodiment of the present invention;

FIG. 2 is a schematic diagram of an extended grid according to one embodiment of the present invention;

FIG. 3 is a schematic diagram illustrating an extension of a shooting direction according to a first embodiment of the present invention;

fig. 4 is a schematic diagram of an intersection of building blocks according to a second embodiment of the present invention;

FIG. 5 is a schematic diagram of an intersection of building blocks according to a third embodiment of the present invention;

fig. 6 is a flowchart of a crowdsourcing data processing method based on floor block data according to a second embodiment of the present invention;

fig. 7 is a schematic structural diagram of a crowdsourcing data processing apparatus based on floor block data according to a third embodiment of the present invention;

fig. 8 is a schematic structural diagram of an apparatus according to a fourth embodiment of the present invention.

Detailed Description

The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.

Example one

Fig. 1 is a flowchart of a method for processing crowdsourcing data based on floor block data according to an embodiment of the present invention, where the embodiment is applicable to a case of marking crowdsourcing data, and the method may be performed by a device for performing crowdsourcing data marking, where the device may be a server, and the method specifically includes the following steps:

and step 110, acquiring the floor block data and crowdsourcing data corresponding to the target object in the floor block data.

The building block data is pre-configured building block data to be detected. Crowd sourcing tasks based on building block data are typically used to assign users to take pictures and locate the bottom of a building or the shops in a building. The building block data is a known building, but specific positions of business departments contained in the building and which shops are contained in the building need to be acquired by a user through a crowdsourcing task. The block data can accurately depict the extension properties of the block to be detected.

And the user executing the crowdsourcing task of the building block to be detected moves and takes a picture at the boundary of the building block to obtain crowdsourcing data of the target object at the boundary of the building block. The crowdsourcing data includes a target object identification and a photograph of the target object. The terminal can send the acquired crowdsourcing data to the server through wifi or a mobile cellular network. And the server establishes the corresponding relation between the floor block data and the crowdsourcing data according to the target object identification.

The crowdsourcing data in the embodiment of the invention can also comprise a photographing direction, or a magnetic field direction and a gravity acceleration direction acquired during photographing. The photographing direction can be determined according to the magnetic field direction and the gravity acceleration direction, and the calculation process can be executed on a photographing terminal or a server.

For example, if the magnetic field direction and the gravitational acceleration direction are received, the server determines the photographing direction of the target image according to the magnetic field direction and/or the gravitational acceleration direction. The shooting direction on the horizontal plane can be determined according to the magnetic field direction, such as 20 degrees north east. The angle in the vertical direction at the time of photographing, for example, 60 degrees upward in the horizontal plane, etc., can be determined from the gravitational acceleration. The direction of the target object relative to the photographing coordinates can be determined in the three-dimensional space according to the magnetic field direction and the vertical acceleration direction.

Alternatively, if the crowdsourcing task is to add the facia and in-store facilities of a known store, the crowdsourcing data may include an image of the target object. The server acquires a target image of a target object in the building block data and names the target image. The server names the target image, so that the step of adding shop information to the image after the terminal user takes a picture can be omitted. When naming the target image, the characters contained in the image, such as the name of a restaurant, the name of a signboard and a dish of the restaurant, and signboard decorations (such as a sculpture) of a shop, can be obtained through image recognition and the like.

Further, in order to improve the accuracy of positioning, an extension grid is provided. The preset size may be a grid of 20 by 20 meters. The shape of the grid can be square or irregular. Alternatively, as shown in fig. 2, the mesh is trapezoidal in shape.

And judging whether the terminal is positioned in the extended grid or not. And if the terminal is positioned in the extended grid, acquiring crowdsourcing data corresponding to the target object in the floor data through the terminal. And if the terminal is positioned outside the extended grid, prompting the user to move to the extended grid for shooting. And further ensure the effectiveness of the photo taken by the user.

And step 120, determining the target position of the target object according to the photographing direction of the crowdsourcing data.

There may or may not be an exact direction of photographing in the crowd-sourced data. In one implementation, if crowdsourcing data of the target object has a photographing direction, extending the photographing direction to obtain an extension line; and determining the intersection point of the extension line and the edge of the building block in the building block data as a target position.

As shown in fig. 3, an extension line of the photographing direction is made in a horizontal plane. For the door face picture, the obtained extension line of the photographing direction is intersected with the edge of the building block data, and the focus is determined as the target position of the shop.

In another implementation, an extension grid with a preset size is set; and if the crowdsourcing data of the target object does not have the photographing direction, determining the target position according to the intersection of the extended grid and the building block data.

And if the crowdsourcing data does not have the photographing direction, acquiring the intersection of the extension grid and the floor data. The intersection may be a line segment or an area. Optionally, as shown in fig. 4, a midpoint of an edge corresponding to the floor data in the intersection is determined as a target position. If the line segment is the middle point of the line segment is determined as the target position. Alternatively, as shown in fig. 5, if the intersection is an area, the longest edge of the included block edge is obtained from the area, and the midpoint of the longest edge is determined as the target position. Optionally, the center point of the intersection is determined as the target position. And if the intersection is a region, determining the central point of the region as the target region. The center point of the region may be the center of gravity of the region, or may be a diagonal focus of the region.

And step 130, marking the target object according to the target position.

And adding a target position to a target object corresponding to the crowdsourcing task.

The crowdsourcing data processing device provided by the embodiment first acquires floor block data and crowdsourcing data corresponding to a target object in the floor block data; then determining the target position of the target object according to the photographing direction of the crowdsourcing data; and finally, marking the target object according to the target position. Compared with the prior art that crowdsourcing data is marked manually, the embodiment of the invention can automatically mark the crowdsourcing data through the server, realize that the position marking is carried out on the crowdsourcing data when the machine is started, improve the recognition efficiency of the crowdsourcing data, save 100% of the cost of a manual stamping Point, and realize the full-automatic production of the coordinate position of a Point of Interest (POI for short). Particularly, the target position of the target object can be determined under the conditions of the photographing direction and the non-photographing direction, and the accuracy of machine marking is improved.

Example two

Fig. 6 is a flowchart of a crowdsourcing data processing method based on floor block data according to an embodiment of the present invention, which further illustrates the above embodiment, and includes:

the server puts in crowdsourcing tasks according to the building block information, crowdsourcing users find task building blocks according to task geographic positions, walk around the building blocks for a circle, shoot roadside visible POI doorface photos by utilizing the mobile equipment, edit names and submit data.

Step 210, after receiving the data submitted by the terminal, the server determines whether the terminal is located in the extended grid.

The GPS signals near the building blocks may be poor, and in order to improve the GPS positioning accuracy, a plurality of 20 by 20 grids are divided around the periphery of the building blocks and extended outward. When the user collects, only the positioning coordinates are within the grid can the photo be taken. Specifically, if the terminal is located in the extended grid, step 220 is performed. Otherwise, if the terminal is not located in the extended grid, 230 is performed.

Step 220, if the terminal is positioned in the extended grid, acquiring a target image of a target object in the building block data, and naming the target image; and determining the photographing direction of the target image according to the direction of the magnetic field and/or the direction of the gravity acceleration. Step 240 is performed.

By acquiring the photo GPS track and the GPS error precision, the data positioning position can be determined. The shooting direction of the camera can be obtained by utilizing the states of the gravity sensor and the magnetic field sensor at the moment of shooting.

And step 230, if the terminal is not positioned in the extended grid, prompting the terminal to change the photographing position.

Further, a recommended direction of movement may be sent to the terminal for the user to move to their nearest or for a selected crowd-sourced task location. Return to perform step 210.

And step 240, judging whether crowdsourcing data of the target object has a photographing direction.

If the crowd-sourced data of the target object has a direction of photographing, step 250 is performed. Otherwise, if the crowd-sourced data of the target object does not have a photographing direction, step 260 is performed.

And step 250, if the crowdsourcing data of the target object has the photographing direction, extending the photographing direction to obtain an extension line, and determining the intersection point of the extension line and the edge of the building block in the building block data as the target position.

Step 260, if the crowdsourcing data of the target object does not have the photographing direction, determining the middle point of the side corresponding to the floor block data in the intersection as the target position; alternatively, the center point of the intersection is determined as the target position.

EXAMPLE III

Fig. 7 is a schematic structural diagram of a crowdsourcing data processing apparatus based on floor block data according to a third embodiment of the present invention, where the apparatus includes:

the crowdsourcing data acquisition module 310 is configured to acquire building block data and crowdsourcing data corresponding to a target object in the building block data;

a target position determining module 320, configured to determine a target position of the target object according to a photographing direction of the crowdsourcing data in the crowdsourcing data obtaining module 310;

a marking module 330, configured to mark the target object according to the target position determined by the target position determining module 320.

Further, the target position determination module 320 is configured to:

if the crowdsourcing data of the target object has a photographing direction, extending the photographing direction to obtain an extension line;

and determining the intersection point of the extension line and the edge of the building block in the building block data as a target position.

Further, the target position determining module 320 is configured to set an extended grid with a preset size;

and if the crowdsourcing data of the target object does not have a photographing direction, determining a target position according to the intersection of the extended grid and the building block data.

Further, the target position determining module 320 is configured to determine a midpoint of an edge corresponding to the building block data in the intersection as a target position; alternatively, the center point of the intersection is determined as the target position.

Further, the crowdsourcing data acquisition module 310 is configured to:

judging whether the terminal is positioned in the extended grid or not;

and if the terminal is positioned in the extended grid, acquiring crowdsourcing data corresponding to the target object in the floor data through the terminal.

Further, the crowdsourcing data acquisition module 310 is configured to:

acquiring a target image of a target object in the building block data, and naming the target image;

and determining the photographing direction of the target image according to the direction of the magnetic field and/or the direction of the gravity acceleration.

In the crowdsourcing data processing apparatus based on floor block data provided in this embodiment, the crowdsourcing data acquiring module 310 is configured to acquire the floor block data and crowdsourcing data corresponding to a target object in the floor block data; the target position determining module 320 is configured to determine a target position of the target object according to a photographing direction of the crowdsourcing data; the marking module 330 is configured to mark the target object according to the target position. Compared with the prior art that crowdsourcing data is marked manually, the embodiment of the invention can automatically mark the crowdsourcing data through the server, realize that the position marking is carried out on the crowdsourcing data when the machine is started, improve the identification efficiency of the crowdsourcing data, and realize the accurate marking of the crowdsourcing data corresponding to the building block edge object. Particularly, the target position of the target object can be determined under the conditions of the photographing direction and the non-photographing direction, and the accuracy of machine marking is improved.

The device can execute the methods provided by the first embodiment and the second embodiment of the invention, and has corresponding functional modules and beneficial effects for executing the methods. For details of the technology that are not described in detail in this embodiment, reference may be made to the methods provided in the first embodiment and the second embodiment of the present invention.

Example four

Fig. 8 is a schematic structural diagram of an apparatus according to a fourth embodiment of the present invention. FIG. 8 illustrates a block diagram of an exemplary device 12 suitable for use in implementing embodiments of the present invention. The device 12 shown in fig. 8 is only an example and should not bring any limitation to the function and scope of use of the embodiments of the present invention.

The apparatus comprises: one or more processors; the storage device is used for storing one or more programs, and when the one or more programs are executed by the one or more processors, the one or more processors implement the floor block data-based crowdsourcing data processing method provided by the embodiment of the invention.

As shown in FIG. 8, device 12 is in the form of a general purpose computing device. The components of device 12 may include, but are not limited to: one or more processors or processing units 16, a system memory 28, and a bus 18 that couples various system components including the system memory 28 and the processing unit 16.

Bus 18 represents one or more of any of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, and a processor or local bus using any of a variety of bus architectures. By way of example, such architectures include, but are not limited to, Industry Standard Architecture (ISA) bus, micro-channel architecture (MAC) bus, enhanced ISA bus, Video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus.

Device 12 typically includes a variety of computer system readable media. Such media may be any available media that is accessible by device 12 and includes both volatile and nonvolatile media, removable and non-removable media.

The system memory 28 may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM)30 and/or cache memory 32. Device 12 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 34 may be used to read from and write to non-removable, nonvolatile magnetic media (not shown in FIG. 8, and commonly referred to as a "hard drive"). Although not shown in FIG. 8, a magnetic disk drive for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable, nonvolatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to bus 18 by one or more data media interfaces. Memory 28 may include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the invention.

A program/utility 40 having a set (at least one) of program modules 42 may be stored, for example, in memory 28, such program modules 42 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which examples or some combination thereof may comprise an implementation of a network environment. Program modules 42 generally carry out the functions and/or methodologies of the described embodiments of the invention.

Device 12 may also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, etc.), with one or more devices that enable a user to interact with device 12, and/or with any devices (e.g., network card, modem, etc.) that enable device 12 to communicate with one or more other computing devices. Such communication may be through an input/output (I/O) interface 22. Also, the device 12 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the Internet) via the network adapter 20. As shown, the network adapter 20 communicates with the other modules of the device 12 via the bus 18. It should be understood that although not shown in the figures, other hardware and/or software modules may be used in conjunction with device 12, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.

The processing unit 16 executes various functional applications and data processing by executing programs stored in the system memory 28, for example, to implement the method for binding the merchandise tag according to the embodiment of the present invention.

EXAMPLE five

The fifth embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the method for processing crowdsourcing data based on floor data according to the fifth embodiment of the present invention.

Computer storage media for embodiments of the invention may employ any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.

A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.

Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).

It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.

Claims

1. A crowdsourcing data processing method based on floor block data is characterized by comprising the following steps:

marking the target object according to the target position;

the determining the target position of the target object according to the photographing direction of the crowdsourcing data comprises:

setting an extended grid with a preset size, and if the crowdsourcing data of the target object does not have a photographing direction, determining a target position according to the intersection of the extended grid and the building block data;

the acquiring of the floor block data and the crowdsourcing data corresponding to the target object in the floor block data includes:

the crowd-sourcing data of the target object on the building block boundary is obtained by moving and photographing the user who executes the crowd-sourcing task of the building block to be detected at the building block boundary, wherein the crowd-sourcing task of the building block to be detected is used for acquiring the target object contained in the building block to be detected and the position of the target object.

2. The method of claim 1, wherein determining a target location from an intersection of the extended grid and the building block data comprises:

determining the middle point of the side corresponding to the building block data in the intersection as a target position; alternatively, the first and second electrodes may be,

and determining the central point of the intersection as the target position.

3. The method for processing crowdsourcing data based on floor block data according to claim 1, wherein the obtaining crowdsourcing data corresponding to a target object in the floor block data comprises:

judging whether the terminal is positioned in the extended grid or not;

4. The method for processing crowdsourcing data based on building block data according to any one of claims 1 to 3, wherein the obtaining crowdsourcing data corresponding to a target object in the building block data comprises:

5. A crowdsourcing data processing apparatus based on floor block data, comprising:

the marking module is used for marking the target object according to the target position determined by the target position determining module;

the target location determination module is to:

the crowd-sourcing data acquisition module is used for executing a crowd-sourcing task of a building block to be detected, moving and photographing at the boundary of the building block to obtain crowd-sourcing data of a target object on the boundary of the building block, wherein the crowd-sourcing task of the building block to be detected is used for acquiring the target object contained in the building block to be detected and the position of the target object.

6. An electronic device, characterized in that the electronic device comprises:

one or more processors;

a storage device for storing one or more programs,

when executed by the one or more processors, cause the one or more processors to implement the method of floor block data based crowdsourcing data processing of any one of claims 1-4.

7. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, implements a floor block data based crowdsourcing data processing method according to any one of claims 1-4.