CN116697937A - Automatic measurement system and method for house area for characterization migration - Google Patents
Automatic measurement system and method for house area for characterization migration Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 63
- 238000005259 measurement Methods 0.000 title claims abstract description 54
- 238000013508 migration Methods 0.000 title claims abstract description 37
- 230000005012 migration Effects 0.000 title claims abstract description 36
- 238000012512 characterization method Methods 0.000 title claims description 10
- 208000024891 symptom Diseases 0.000 claims abstract description 31
- 230000008569 process Effects 0.000 claims abstract description 19
- 238000012790 confirmation Methods 0.000 claims description 7
- 239000003550 marker Substances 0.000 claims description 5
- 238000004891 communication Methods 0.000 claims description 4
- 230000003993 interaction Effects 0.000 claims description 4
- 230000007704 transition Effects 0.000 claims description 4
- 239000003292 glue Substances 0.000 claims 1
- 238000011065 in-situ storage Methods 0.000 abstract 1
- 238000010586 diagram Methods 0.000 description 6
- 230000009471 action Effects 0.000 description 3
- 238000011161 development Methods 0.000 description 3
- 239000002390 adhesive tape Substances 0.000 description 2
- 238000010276 construction Methods 0.000 description 2
- 238000000691 measurement method Methods 0.000 description 2
- 208000011580 syndromic disease Diseases 0.000 description 2
- 230000001133 acceleration Effects 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 238000004590 computer program Methods 0.000 description 1
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- 238000013461 design Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 230000000750 progressive effect Effects 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/28—Measuring arrangements characterised by the use of optical techniques for measuring areas
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Abstract
The application relates to the technical field of house measurement, and particularly provides a house area automatic measurement system and method for sign migration. The house position marking module is positioned to provide house positions for the robot, the robot automatically recognizes the corresponding house and measures the house positions, and measured data are used as first house area data and sent to the background. And the robot collects the full-live-action graph and sends the full-live-action graph to the background. And the background generates second house area data according to the acquired full-live-action graph. The accuracy of the first floor area data is analyzed by comparing the first floor area data measured in situ with the calculated second floor area data. The application can realize unmanned house measurement, and calibrate through on-site measurement data and off-site generated analog measurement data, thereby reducing disputes in the symptom process and improving the accuracy in symptom measurement.
Description
Technical Field
The application relates to the technical field of house measurement, in particular to an automatic house area measurement system and method for sign migration.
Background
With the continuous acceleration of urban and rural areas, the symptom migration arrangement becomes an important constraint factor for the high-quality development of the urban and rural areas, and directly influences the progress, cost and regional development of urban and rural construction. The physical movement setting work is a complex system engineering, has wide involved area and complex relationship, and is an important factor related to the personal benefit of the moving setting masses and influencing the social stability and development. The urban and rural sign-shift setting management work has social system engineering with long period, heavy tasks, multiple participating departments and high policy.
Therefore, a system and a method for automatically measuring the house area for the sign migration are lacking at present, so as to solve the problems of inaccuracy and incorrectness caused by manually measuring the sign migration house.
Disclosure of Invention
The following presents a simplified summary in order to provide a basic understanding of some aspects of the disclosed embodiments. This summary is not an extensive overview, and is intended to neither identify key/critical elements nor delineate the scope of such embodiments, but is intended as a prelude to the more detailed description that follows.
The embodiment of the disclosure provides a system and a method for automatically measuring the house area for sign migration, which are used for solving the problems of inaccuracy and incorrectness caused by manually measuring sign migration of houses.
In a first aspect, the present application provides a system for automatic measurement of a floor area for a symptom, the system comprising:
the measuring robot is configured to identify a house position mark, measure house area data, record process videos of a measured house in real time, generate a measured house video, display the measured house video, and send first house area data to the background terminal of the characterization data under the condition that confirmation information of the measured house video is received;
a house position marking module configured to receive the house position, identify the house from the house position, generate a house position mark, and place the house position mark at the house;
the sign data background terminal is configured to acquire the house position, send the house position to the house position marking module, receive the first house area data, receive the house full-scene graph, generate a house three-dimensional model according to the house three-dimensional model, and calculating second house area data, comparing the second house area data, analyzing whether the accuracy of the first house area data reaches the standard, and taking the first house area data as the symptom data under the condition that the accuracy of the first house area data reaches the standard.
Preferably, the system further comprises:
a house boundary marking module configured to place house boundary marks at boundaries within a house; the house boundary mark is used for the measured robot to identify the boundary in the house, so that the house area data is measured;
the measurement robot in the system is further configured to identify house boundary markers to measure house area data.
Preferably, the house boundary is marked as a rubber strip which can be stuck to a corner.
Preferably, the measuring robot comprises a walking module, a communication module, an acquisition module, a man-machine interaction module, a laser ranging module and a control module.
In a second aspect, the present application provides a method for automatically measuring a floor area for a symptom, applied to a measuring robot of the above system, the method comprising: identifying house position markers; measuring house area data; recording a process video of a measurement house in real time, and generating a measurement house video; displaying the video of the measurement house; under the condition of receiving the measurement house video confirmation information, sending first house area data to the characterization data background terminal; collecting a house full-real-scene graph; and sending the house full-live-action graph to the feature migration data background terminal.
Preferably, the system further comprises a house boundary marking module, the method of measuring house area data comprising: house boundary markers are identified to measure house area data.
In a third aspect, the present application provides a method for automatically measuring a house area for a symptom, which is applied to a symptom data background terminal of the above system, and the method includes: acquiring a house position and sending the house position to a house position marking module: receiving first floor area data; receiving a house full-real-scene graph; generating a house three-dimensional model according to the house full-real-scene graph; calculating second house area data according to the house three-dimensional model, comparing the second house area data, and analyzing whether the accuracy of the first house area data meets the standard or not; and under the condition that the accuracy of the first house area data reaches the standard, taking the first house area data as the symptom transition data.
Preferably, comparing the second floor area data to analyze whether the accuracy of the first floor area data meets a criterion comprises: and comparing the first house area data with the second house area data, and judging that the first house area data and the second house area data are within a preset range.
In a fourth aspect, the present application provides a house area automatic measurement method for sign migration, applied to a house position marking module of the above system, the method comprising: receiving a house position; identifying a house according to the house position; a house position marker is generated, where the house position marker is located.
In a fifth aspect, the present application provides a method for automatically measuring a house area for a symptom, applied to the above system, the system including a house boundary marking module, the method comprising: house boundary marks are arranged at the boundary in the house; wherein the house boundary markers are used by the measured robot to identify boundaries within the house, thereby measuring the house area data.
The system and the method for automatically measuring the house area for symptom migration provided by the embodiment of the disclosure can realize the following technical effects:
the system in the embodiment of the disclosure comprises a measuring robot, a house position marking module and a sign migration data background terminal. The house position marking module is positioned to provide house positions for the measuring robot, the measuring robot automatically recognizes the corresponding house and measures the house positions, and measured data are used as first house area data and sent to the sign migration data background terminal. And the measuring robot collects the full-live-action graph and sends the full-live-action graph to the check-in data background terminal. And the sign migration data background terminal generates second house area data according to the acquired full-live-action graph. And analyzing whether the accuracy of the first house area data meets the standard by comparing the first house area data measured on site with the calculated second house area data. And if the first house area data reach the standard, the first house area data are used as the symptom transition data. According to the embodiment of the disclosure, unmanned house measurement can be realized, and the on-site measurement data and the off-site generated analog measurement data are used for checking, so that the dispute in the symptom migration process is reduced, and the accuracy in symptom migration measurement is improved.
The foregoing general description and the following description are exemplary and explanatory only and are not restrictive of the application.
Drawings
One or more embodiments are illustrated by way of example and not limitation in the figures of the accompanying drawings, in which like references indicate similar elements, and in which like reference numerals refer to similar elements, and in which:
FIG. 1 is a schematic diagram of a home area automatic measurement system for characterization provided by embodiments of the present disclosure;
fig. 2 is a flow chart of a method for automatic measurement of floor area for a symptom provided by an embodiment of the present disclosure.
Detailed Description
So that the manner in which the features and techniques of the disclosed embodiments can be understood in more detail, a more particular description of the embodiments of the disclosure, briefly summarized below, may be had by reference to the appended drawings, which are not intended to be limiting of the embodiments of the disclosure. In the following description of the technology, for purposes of explanation, numerous details are set forth in order to provide a thorough understanding of the disclosed embodiments. However, one or more embodiments may still be practiced without these details. In other instances, well-known structures and systems are shown simplified in order to simplify the drawings.
The following description and the drawings sufficiently illustrate specific embodiments of the application to enable those skilled in the art to practice them. Other embodiments may involve structural, logical, electrical, process, and other changes. The embodiments represent only possible variations. Individual components and functions are optional unless explicitly required, and the sequence of operations may vary. Portions and features of some embodiments may be included in, or substituted for, those of others. The scope of embodiments of the application encompasses the full ambit of the claims, as well as all available equivalents of the claims. Embodiments may be referred to herein, individually or collectively, by the term "application" merely for convenience and without intending to voluntarily limit the scope of this application to any single application or inventive concept if more than one is in fact disclosed. Relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, or apparatus. Without further limitation, an element defined by the phrase "comprising one does not exclude the presence of other like elements in a process, method or apparatus comprising such elements. Various embodiments are described herein in a progressive manner, each embodiment focusing on differences from other embodiments, and identical and similar parts between the various embodiments are sufficient to be seen with each other. The method, product and the like disclosed in the examples are relatively simple to describe because they correspond to the method parts disclosed in the examples, and the relevant points are only referred to the description of the method parts.
In addition, the terms "disposed," "connected," "secured" and "affixed" are to be construed broadly. For example, "connected" may be in a fixed connection, a removable connection, or a unitary construction; may be a mechanical connection, or an electrical connection; either directly, indirectly, or through intermediaries, or in communication between two systems, elements, or components. The specific meaning of the above terms in the embodiments of the present disclosure may be understood by those of ordinary skill in the art according to specific circumstances.
Therefore, a system and a method for automatically measuring the house area for the sign migration are lacking at present, so as to solve the problems of inaccuracy and incorrectness caused by manually measuring the sign migration house.
As shown in fig. 1, the present application provides a system for automatic measurement of a floor area for a symptom, the system comprising: the system comprises a measuring robot, a house position marking module and a sign migration data background terminal.
The measuring robot is configured to identify a house position mark, measure house area data, record process videos of a measured house in real time, generate a measured house video, display the measured house video, and send first house area data to the background terminal of the characterization data under the condition that confirmation information of the measured house video is received;
a house position marking module configured to receive the house position, identify the house from the house position, generate a house position mark, and place the house position mark at the house;
the sign data background terminal is configured to acquire the house position, send the house position to the house position marking module, receive the first house area data, receive the house full-scene graph, generate a house three-dimensional model according to the house three-dimensional model, and calculating second house area data, comparing the second house area data, analyzing whether the accuracy of the first house area data reaches the standard, and taking the first house area data as the symptom data under the condition that the accuracy of the first house area data reaches the standard.
It should be appreciated that the symptom data backend terminal may be a computer control center. The house location tagging module may be a device having an identification GPS functionality and capable of generating tags. The measuring robot is a measuring robot with a measuring area function and a man-machine interaction interface. It should be noted that the house needs to be emptied in advance to expose all the wall surfaces and corners. In this way, the measuring robot is facilitated to walk and measure. The measurement robot is applied at a first site of the measurement house, and the characterization data backend terminal is located off-site. In practical applications, the operation of the measuring robot requires staff to accompany. As the home area data is not presented to the homeowner at the first site of the measurement home. The checking and registering of the house area data comes from the check-out data background terminal, so that the measurement of the measuring robot is ensured not to be interfered by a homeowner as a first site of measurement in the house.
In a preferred embodiment, the measuring robot comprises a walking module, a communication module, an acquisition module, a man-machine interaction module, a laser ranging module and a control module.
Correspondingly, the embodiment of the disclosure also discloses a house area automatic measurement method for symptom migration, and the method is shown in fig. 2.
The automatic measurement system for the house area for characterization is applied, and the method comprises the following steps:
s201, the sign migration data background terminal acquires the house position.
It should be understood that the data background terminal for the syndrome is also a data management center for the syndrome in practical application.
S202, sending the house position.
S203, the house position marking module receives the house position.
S204, the house position marking module identifies the house according to the house position.
S205, the house position marking module generates a house position mark, where the house position mark is placed.
It should be understood that in S203 to S205, the house position marking module finds the corresponding house and marks it, so that the measuring robot can identify the corresponding house. In practical application, the house position mark can be a digital number or a two-dimensional code, and is arranged on doors and windows of a house. The house position marker may also be a signal generator arranged at the house, the measuring robot being able to perform house positioning by recognizing the corresponding signal.
S206, the measuring robot recognizes house position marks.
In practical application, if the house position mark is a digital number or a two-dimensional code, the measuring robot can directly identify the house position mark through scanning. If the house position is marked as a signal generator, the measuring robot obtains the positioning through the signal.
S207, the measuring robot measures house area data.
It will be appreciated that since the house needs to be emptied in advance, all walls and corners are exposed. The measuring robot can walk freely in the free house and is not interfered by other objects. Specifically, the measuring robot can measure by means of laser ranging, and can also measure the distance by the measuring robot. In practical application, a technical auxiliary personnel can accompany and debug the measuring robot, so that the English measuring robot has special situations in practice.
S208, the measuring robot records the process video of the measuring house in real time, and generates the video of the measuring house.
It should be appreciated that measuring house videos as evidence of symptom-migration measurements allows homeowners to confirm process legitimacy to avoid possible subsequent disputes.
S209, displaying the video of the measurement house by the measurement robot.
It should be understood that the measuring robot has a man-machine interface and a display function, so that the homeowner can confirm the video of the measured house.
S210, under the condition that the measuring robot receives the measuring house video confirmation information, the measuring robot sends first house area data to the sign migration data background terminal.
It should be appreciated that the manner in which the confirmation information is received may be by signing on a human-machine interface. The measurement of the house video does not reveal any area data, preventing homeowners from confronting the house area data on the spot. The homeowner simply confirms the measurement house video. The first floor area data is sent to the immigration data backend terminal for subsequent verification.
S211, the sign migration data background terminal receives the first house area data.
S212, collecting a house full-scene graph by the measuring robot.
It will be appreciated that the purpose of acquiring a full-scene graph of a house is to generate a three-dimensional model of the house, so that data of another measurement mode is acquired, i.e. the house area is identified from the three-dimensional model of the house.
S213, the measuring robot sends the house full-scene graph.
S214, the sign migration data background terminal receives the house full-scene graph.
S215, the sign migration data background terminal generates a house three-dimensional model according to the house full-scene graph.
S216, the sign migration data background terminal calculates second house area data according to the house three-dimensional model.
S217, comparing the second house area data by the sign migration data background terminal, and analyzing whether the accuracy of the first house area data reaches the standard.
It will be appreciated that the first and second floor area data are each measured in two different forms. The homeowner cannot see the data content during both measurements, and thus cannot interfere with the measurement process. If the difference between the two is too large, the measurement is problematic, namely the accuracy does not reach the standard. If the difference between the two is too large, the accuracy of the description reaches the standard.
Preferably, comparing the second floor area data to analyze whether the accuracy of the first floor area data meets a criterion comprises: and comparing the first house area data with the second house area data, and judging that the first house area data and the second house area data are within a preset range. The predetermined range may be a specific area, for example 0.5 square meters. The predetermined range may also be a fixed error ratio. The preset range can be determined according to practical situations.
And S218, taking the first house area data as the sign migration data by the sign migration data background terminal under the condition that the accuracy of the first house area data reaches the standard.
In a preferred embodiment, the system further comprises: a house boundary marking module configured to place house boundary marks at boundaries within a house; wherein the house boundary markers are used by the measured robot to identify boundaries within the house, thereby measuring the house area data. The measurement robot in the system is further configured to identify house boundary markers to measure house area data.
The house boundary marking module may be a small robot having a robot arm and capable of telescoping a height. The house boundary mark can be an adhesive tape which can be adhered to a corner. The color of the adhesive tape is obviously different from that of the wall surface and the ground surface respectively. In this way, the measuring robot is facilitated to recognize house boundary markers to measure house area data.
The system in the embodiment of the disclosure comprises a measuring robot, a house position marking module and a sign migration data background terminal. The house position marking module is positioned to provide house positions for the measuring robot, the measuring robot automatically recognizes the corresponding house and measures the house positions, and measured data are used as first house area data and sent to the sign migration data background terminal. And the measuring robot collects the full-live-action graph and sends the full-live-action graph to the check-in data background terminal. And the sign migration data background terminal generates second house area data according to the acquired full-live-action graph. And analyzing whether the accuracy of the first house area data meets the standard by comparing the first house area data measured on site with the calculated second house area data. And if the first house area data reach the standard, the first house area data are used as the symptom transition data. According to the embodiment of the disclosure, unmanned house measurement can be realized, and the on-site measurement data and the off-site generated analog measurement data are used for checking, so that the dispute in the symptom migration process is reduced, and the accuracy in symptom migration measurement is improved.
The above description and the drawings illustrate embodiments of the disclosure sufficiently to enable those skilled in the art to practice them. Other embodiments may involve structural, logical, electrical, process, and other changes. The embodiments represent only possible variations. Individual components and functions are optional unless explicitly required, and the sequence of operations may vary. Portions and features of some embodiments may be included in, or substituted for, those of others. Moreover, the terminology used in the present application is for the purpose of describing embodiments only and is not intended to limit the claims. As used in the description of the embodiments and the claims, the singular forms "a," "an," and "the" (the) are intended to include the plural forms as well, unless the context clearly indicates otherwise. Similarly, the term "and/or" as used in this disclosure is meant to encompass any and all possible combinations of one or more of the associated listed. Furthermore, when used in the present disclosure, the terms "comprises," "comprising," and/or variations thereof, mean that the recited features, integers, steps, operations, elements, and/or components are present, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. Without further limitation, an element defined by the phrase "comprising one …" does not exclude the presence of other like elements in a process, method or apparatus comprising such elements. In this context, each embodiment may be described with emphasis on the differences from the other embodiments, and the same similar parts between the various embodiments may be referred to each other. For the methods, products, etc. disclosed in the embodiments, if they correspond to the method sections disclosed in the embodiments, the description of the method sections may be referred to for relevance.
Those of skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. The skilled artisan may use different methods for each particular application to achieve the described functionality, but such implementation should not be considered to be beyond the scope of the embodiments of the present disclosure. It will be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working process of the system, system and unit described above may refer to the corresponding process in the foregoing method embodiment, which is not repeated herein.
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. In the description corresponding to the flowcharts and block diagrams in the figures, operations or steps corresponding to different blocks may also occur in different orders than that disclosed in the description, and sometimes no specific order exists between different operations or steps. For example, two consecutive operations or steps may actually be performed substantially in parallel, they may sometimes be performed in reverse order, which may be dependent on the functions involved. Each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
Claims (10)
1. A system for automated measurement of a floor area for a symptom, the system comprising:
the measuring robot is configured to identify a house position mark, measure house area data, record process videos of a measured house in real time, generate a measured house video, display the measured house video, and send first house area data to the background terminal of the characterization data under the condition that confirmation information of the measured house video is received;
a house position marking module configured to receive the house position, identify the house from the house position, generate a house position mark, and place the house position mark at the house;
the sign data background terminal is configured to acquire the house position, send the house position to the house position marking module, receive the first house area data, receive the house full-scene graph, generate a house three-dimensional model according to the house three-dimensional model, and calculating second house area data, comparing the second house area data, analyzing whether the accuracy of the first house area data reaches the standard, and taking the first house area data as the symptom data under the condition that the accuracy of the first house area data reaches the standard.
2. The system of claim 1, wherein the system further comprises:
a house boundary marking module configured to place house boundary marks at boundaries within a house; the house boundary mark is used for the measured robot to identify the boundary in the house, so that the house area data is measured;
the measurement robot in the system is further configured to identify house boundary markers to measure house area data.
3. The system of claim 2, wherein the house boundary is marked as a strip of glue that can be applied to a corner of a wall.
4. The system of claim 1, wherein the measurement robot comprises a walking module, a communication module, a collection module, a human-machine interaction module, a laser ranging module, and a control module.
5. A method for automatic measurement of a floor area for a symptom, applied to a measuring robot of the system of claim 1, the method comprising:
identifying house position markers;
measuring house area data;
recording a process video of a measurement house in real time, and generating a measurement house video;
displaying the video of the measurement house;
under the condition of receiving the measurement house video confirmation information, sending first house area data to the characterization data background terminal;
collecting a house full-real-scene graph;
and sending the house full-live-action graph to the feature migration data background terminal.
6. The method of claim 5, wherein the system further comprises a house boundary marking module, the method of measuring house area data comprising:
house boundary markers are identified to measure house area data.
7. A method for automatic measurement of a floor area for a symptom, applied to a symptom data backend terminal of a system as recited in claim 1, the method comprising:
acquiring a house position; sending the position information to a house position marking module;
receiving first floor area data;
receiving a house full-real-scene graph;
generating a house three-dimensional model according to the house full-real-scene graph;
calculating second house area data based on the house three-dimensional model,
comparing the second house area data, and analyzing whether the accuracy of the first house area data meets the standard;
and under the condition that the accuracy of the first house area data reaches the standard, taking the first house area data as the symptom transition data.
8. The method of claim 7, wherein analyzing whether the accuracy of the first floor area data meets a criterion against the second floor area data comprises:
and comparing the first house area data with the second house area data, and judging that the first house area data and the second house area data are within a preset range.
9. A method for automatic measurement of a floor area for a symptom, applied to a system as recited in claim 1, the method comprising:
receiving a house position;
identifying a house according to the house position;
a house position marker is generated, where the house position marker is located.
10. A method for automatic measurement of a floor area for a symptom, applied to a system as recited in claim 1, the system comprising a floor boundary marking module, the method comprising:
house boundary marks are arranged at the boundary in the house; wherein the house boundary markers are used by the measured robot to identify boundaries within the house, thereby measuring the house area data.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310715362.8A CN116697937A (en) | 2023-06-15 | 2023-06-15 | Automatic measurement system and method for house area for characterization migration |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310715362.8A CN116697937A (en) | 2023-06-15 | 2023-06-15 | Automatic measurement system and method for house area for characterization migration |
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| CN116697937A true CN116697937A (en) | 2023-09-05 |
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| CN202310715362.8A Pending CN116697937A (en) | 2023-06-15 | 2023-06-15 | Automatic measurement system and method for house area for characterization migration |
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