CN118168606A - Visual guiding method and system for vehicle-mounted mobile measurement - Google Patents
Visual guiding method and system for vehicle-mounted mobile measurement Download PDFInfo
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Abstract
The invention is applicable to the field of vehicle-mounted mobile measurement, and provides a visual guiding method and a visual guiding system for vehicle-mounted mobile measurement, wherein the method comprises the following steps: the method comprises the steps of regularly collecting and identifying stability information of a vehicle in a road pre-running area, and generating calibration judgment information; based on the calibration discrimination information, acquiring front measurement data and a rechecking instruction; based on the rechecking instruction, acquiring post-measurement data; acquiring front measurement data and rear measurement data; comparing the front measurement data with the rear measurement data to generate and identify a deviation value parameter; based on the deviation value parameter, a guiding measurement strategy is generated, the method and the system can detect the stability of the measurement carrier during movement, compare the measurement data for a plurality of times after obtaining the measurement data for a plurality of times, generate the deviation value parameter, prevent the measurement deviation caused by the vibration of the vehicle body, analyze the deviation value parameter, generate the guiding measurement strategy, further obtain the final measurement data, and further improve the accuracy of vehicle-mounted movement measurement.
Description
Technical Field
The invention belongs to the field of vehicle-mounted mobile measurement, and particularly relates to a visual guidance method and a visual guidance system for vehicle-mounted mobile measurement.
Background
In-vehicle mobile measurement systems are an emerging measurement technology in recent years, which mainly uses transmitting and receiving laser beams to measure the relative position between the system and the object to be measured, and acquires the geographic coordinates of the system through satellite positioning equipment. The vehicle-mounted mobile measurement system covers the surface of the ground object through the movement of the vehicle and the rotation of the scanning lens, and acquires the three-dimensional coordinate point cloud of the surface of the ground object, so that the vehicle-mounted mobile measurement system is used for generating a high-resolution digital ground model.
Along with the development of technology, most of existing measurement vehicles adopt automatic driving vehicles, but when the automatic driving vehicles carry out movement measurement, uneven road surfaces can be encountered, so that the running stability of the measurement vehicles is different, the running safety and the measurement accuracy of the vehicles are further affected, and aiming at the problems, development of a visual guiding method and a visual guiding system for vehicle-mounted movement measurement is needed.
Disclosure of Invention
The embodiment of the invention aims to provide a visual guiding method and a visual guiding system for vehicle-mounted mobile measurement, which aim to solve the problems in the background technology.
The embodiment of the invention is realized in such a way that, on one hand, the method for guiding the vision of the vehicle-mounted mobile measurement comprises the following steps:
the method comprises the steps of regularly collecting and identifying stability information of a vehicle in a road pre-running area, and generating calibration judgment information;
Based on the calibration discrimination information, acquiring front measurement data and a rechecking instruction;
based on the rechecking instruction, acquiring post-measurement data;
Acquiring front measurement data and rear measurement data;
comparing the front measurement data with the rear measurement data to generate and identify a deviation value parameter;
Based on the deviation value parameter, a pilot measurement strategy is generated.
As a further aspect of the present invention, the step of periodically collecting and identifying the stability information of the vehicle in the pre-traveling area of the road, and the step of generating the calibration and discrimination information specifically includes:
Acquiring pressure information of a plurality of pressure sensors;
identifying whether pressure information of a plurality of pressure sensors is within a pressure threshold range;
if the pressure information of the plurality of pressure sensors is not in the pressure threshold range;
Calibration discrimination information is generated.
As still further aspect of the present invention, the collecting the pre-measurement data and the recheck instruction based on the calibration discrimination information specifically includes:
searching for whether calibration judging information exists;
if the calibration judging information exists, generating a rechecking instruction;
And uploading and storing the front-end measurement data.
As still further aspects of the present invention, the comparing the pre-measurement data and the post-measurement data, generating and identifying the offset parameter specifically includes:
Extracting front measurement data and rear measurement data;
calculating the difference value of the front measurement data and the rear measurement data to generate a relative comparison value;
judging whether the relative comparison value is larger than or equal to a relative comparison threshold value or not;
if the relative comparison value is greater than or equal to the relative comparison threshold value;
A deviation value parameter is generated.
As a further aspect of the present invention, the generating a guiding measurement policy based on the deviation value parameter specifically includes:
Retrieving whether the offset parameter exists;
if the deviation value parameter exists;
Acquiring a real-time image of the target pavement at regular time;
identifying and acquiring a real-time image of a target pavement;
carrying out enhancement treatment on the real-time image of the target pavement;
extracting texture features in the real-time image of the target pavement;
calculating statistics of the texture features;
judging whether the statistic is in a statistic threshold range or not;
If the statistic is in the statistic threshold range;
A boot measurement instruction is generated.
As a further aspect of the present invention, in another aspect, a visual guidance system for vehicle-mounted movement measurement, the system includes:
the timing acquisition module is used for acquiring the stability information of the road pre-running area carrier at fixed time;
The first identification module is used for identifying the stability information of the vehicle in the road pre-running area;
the first generation module is used for generating calibration discrimination information based on the calibration discrimination information;
the first acquisition module is used for acquiring front measurement data based on the calibration discrimination information;
the second acquisition module is used for acquiring post-measurement data based on the rechecking instruction;
the acquisition module is used for acquiring the front measurement data and the rear measurement data;
The comparison module is used for comparing the front measurement data with the rear measurement data;
the second generation module is used for generating a deviation value parameter;
the second identification module is used for identifying the deviation value parameter;
and the third generation module is used for generating a guiding measurement strategy based on the deviation value parameter.
As a further aspect of the present invention, the timing acquisition module specifically includes:
The first acquisition unit is used for acquiring pressure information of a plurality of pressure sensors;
The first identification unit is used for identifying whether the pressure information of the plurality of pressure sensors is in a pressure threshold range.
As a further aspect of the present invention, the comparison module specifically includes:
the extraction unit is used for extracting the front measurement data and the rear measurement data;
a first calculation unit for calculating a difference between the front measurement data and the rear measurement data;
A first generation unit configured to generate a relative comparison value;
A first judging unit configured to judge whether the relative comparison value is greater than or equal to a relative comparison threshold;
And the second generation unit is used for generating a deviation value parameter if the relative comparison value is greater than or equal to the relative comparison threshold value.
As a further aspect of the present invention, the third generating module specifically includes:
a search unit for searching whether the deviation value parameter exists;
The second acquisition unit is used for acquiring the real-time image of the target road surface at regular time if the deviation value parameter exists;
The second identification unit is used for identifying and acquiring the real-time image of the target pavement;
the image enhancement unit is used for enhancing the real-time image of the target pavement;
the extraction unit is used for extracting texture features in the targeted pavement real-time image;
A second calculation unit for calculating statistics of the texture features;
a second judging unit for judging whether the statistic is within a statistic threshold range;
And the third generation unit is used for generating a guiding measurement instruction if the statistic is in the statistic threshold range.
According to the visual guiding method and system for vehicle-mounted mobile measurement, the stability of the measurement carrier during movement can be detected, after the multiple measurement data are obtained, the multiple measurement data are compared, the deviation value parameter is generated, the measurement deviation caused by vehicle body vibration is prevented, the deviation value parameter is analyzed, the guiding measurement strategy is generated, the final measurement data are obtained, and the accuracy of vehicle-mounted mobile measurement is further improved.
Drawings
Fig. 1 is a main flow chart of a visual guidance method of vehicle-mounted movement measurement.
Fig. 2 is a flowchart of generating calibration discrimination information by periodically collecting and identifying vehicle stability information in a road pre-running area in a visual guidance method of vehicle-mounted mobile measurement.
Fig. 3 is a flowchart of acquiring pre-measurement data and a recheck instruction based on calibration discrimination information in a visual guidance method for vehicle-mounted mobile measurement.
Fig. 4 is a flow chart of generating and identifying offset parameters by comparing pre-measurement data and post-measurement data in a visual guidance method of vehicle-mounted movement measurement.
Fig. 5 is a flowchart of a method for generating a guidance measurement policy based on a deviation value parameter in a visual guidance method for vehicle-mounted movement measurement.
Fig. 6 is a main structural diagram of a visual guidance system for vehicle-mounted movement measurement.
Fig. 7 is a block diagram of the configuration of an acquisition module in a visual guidance system for vehicle-mounted mobile measurement.
Fig. 8 is a block diagram of a contrast module in a visual guidance system for vehicle-mounted movement measurement.
Fig. 9 is a block diagram of the third generation module in the visual guidance system for vehicle-mounted movement measurement.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Specific implementations of the invention are described in detail below in connection with specific embodiments.
The visual guiding method and system for vehicle-mounted mobile measurement provided by the invention solve the technical problems in the background technology.
As shown in fig. 1, a main flow chart of a visual guiding method for vehicle-mounted movement measurement according to an embodiment of the present invention includes:
Step S100: the method comprises the steps of regularly collecting and identifying stability information of a vehicle in a road pre-running area, and generating calibration judgment information;
step S200: based on the calibration discrimination information, acquiring front measurement data and a rechecking instruction;
step S300: based on the rechecking instruction, acquiring post-measurement data;
Step S400: acquiring front measurement data and rear measurement data;
Step S500: comparing the front measurement data with the rear measurement data to generate and identify a deviation value parameter;
Step S600: based on the deviation value parameter, a pilot measurement strategy is generated.
When the method is applied, the measuring carrier performs mobile measurement according to a preset route, the measuring carrier integrates various sensors, such as a total station, a laser scanner, a photographic measuring instrument, an inertial measuring unit and the like, and is used for acquiring coordinates, forms and motion information of measuring points, sensing and monitoring various parameters and states of a vehicle in real time, such as speed, acceleration, temperature, humidity and the like, so as to provide accurate and reliable basis for measurement, and meanwhile, when the measuring carrier performs running measurement according to the preset route, the stability information of the road pre-running area carrier is acquired and identified at fixed time, the stability information of the road pre-running area carrier is the stability of a vehicle body of the measuring carrier in the running measurement process, after the stability information of the road pre-running area carrier is acquired, whether the measuring carrier is in a stable range is identified and judged, if the measuring carrier is not in the stable range is performed, calibration judgment information is generated, and forward measuring data is obtained, a re-detection instruction is generated based on the calibration judgment information, and then the calibration judgment information is set on the preset running route, the next measuring position is set, the measuring object is measured again, and the re-detection measurement data is generated; and then acquiring front measurement data and rear measurement data, comparing the front measurement data with the rear measurement data to generate deviation value parameters, presetting a deviation threshold value, identifying the deviation value parameters to generate an identification result, if the deviation value parameters are larger than or equal to the deviation threshold value, indicating that the deviation of the two measurement data is overlarge, the data accuracy is poor, then acquiring a real-time road surface image of the target area, analyzing and identifying the real-time road surface image of the target area, identifying the road surface flatness of the target area, and if the road surface flatness of the target area reaches the flatness threshold value, sending a secondary measurement instruction, carrying out secondary measurement, and generating a secondary measurement result.
As shown in fig. 2, as a preferred embodiment of the present invention, the timing collecting and identifying the stability information of the vehicle in the pre-running area of the road, and generating the calibration discrimination information specifically includes:
step S101: acquiring pressure information of a plurality of pressure sensors;
Step S102: identifying whether pressure information of a plurality of pressure sensors is within a pressure threshold range;
step S103: if the pressure information of the plurality of pressure sensors is not in the pressure threshold range;
step S104: calibration discrimination information is generated.
When the method is applied, the plurality of pressure sensors are installed in the measuring carrier, the pressure information of the plurality of pressure sensors is firstly obtained by identifying the self stability of the vehicle in the running process, whether the pressure information of the plurality of pressure sensors is in the pressure threshold range or not is identified, calibration judging information is generated if the pressure information of the plurality of pressure sensors is not in the pressure threshold range, the vehicle running stability is good if the pressure information of the plurality of pressure sensors is in the pressure threshold range, and when the vehicle running stability is good, the measuring accuracy is high.
As shown in fig. 3, as a preferred embodiment of the present invention, the collecting the pre-measurement data and the rechecking instruction based on the calibration discrimination information specifically includes:
step S201: searching for whether calibration judging information exists;
step S202: if the calibration judging information exists, generating a rechecking instruction;
step S203: and uploading and storing the front-end measurement data.
In the application, the embodiment firstly searches whether the calibration judging information exists, if the calibration judging information exists, a rechecking instruction is generated, if the calibration judging information exists, the rechecking instruction is not generated, when the rechecking instruction is generated, the pre-measurement data is uploaded and stored, the pre-measurement data is the target data for the first measurement, and the stored pre-measurement data can be used for subsequent data comparison.
As shown in fig. 4, as a preferred embodiment of the present invention, the comparing the pre-measurement data and the post-measurement data, generating and identifying the offset parameter specifically includes:
step S501: extracting front measurement data and rear measurement data;
Step S502: calculating the difference value of the front measurement data and the rear measurement data to generate a relative comparison value;
Step S503: judging whether the relative comparison value is larger than or equal to a relative comparison threshold value or not;
step S504: if the relative comparison value is greater than or equal to the relative comparison threshold value;
step S505: a deviation value parameter is generated.
It should be appreciated that the pre-measurement data and post-measurement data are extracted, the difference between the pre-measurement data and the post-measurement data is calculated, a relative comparison value is generated, a determination is made as to whether the relative comparison value is greater than or equal to a relative comparison threshold, and a deviation value parameter is generated if the relative comparison value is greater than or equal to the relative comparison threshold.
As shown in fig. 5, as a preferred embodiment of the present invention, the generating a guiding measurement policy based on the deviation value parameter specifically includes:
Step S601: retrieving whether the offset parameter exists;
Step S602: if the deviation value parameter exists;
step S603: acquiring a real-time image of the target pavement at regular time;
step S604: identifying and acquiring a real-time image of a target pavement;
Step S605: carrying out enhancement treatment on the real-time image of the target pavement;
step S606: extracting texture features in the real-time image of the target pavement;
step S607: calculating statistics of the texture features;
Step S608: judging whether the statistic is in a statistic threshold range or not;
step S609: if the statistic is in the statistic threshold range;
step S610: a boot measurement instruction is generated.
In the application process, whether the deviation value parameter exists or not is searched, if the deviation value parameter exists, a target road surface real-time image is acquired at regular time in the continuous running process of the measuring carrier, the target road surface is a target area in front of the running of the measuring carrier, a certain distance is reserved from the measuring carrier, the target road surface real-time image is identified and acquired, then enhancement processing is carried out on the target road surface real-time image, texture features in the target road surface real-time image are extracted, the texture features of the road surface can be extracted by using methods such as a gray level co-occurrence matrix, an autocorrelation function, fourier transformation and the like, statistics of the texture features are calculated after the texture features are extracted, so that the flatness of the road surface is indirectly reflected, whether the statistics are in a statistic threshold range is judged, if the statistics are in the statistic threshold range, the target road surface is flat, the measurement accuracy of the measuring carrier is guaranteed, a guiding measurement instruction is finally generated, the measuring carrier runs to the target road surface after the operation is completed, and the measuring carrier carries out measurement operation.
As another preferred embodiment of the present invention, as shown in fig. 6, in another aspect, a visual guidance system for vehicle-mounted movement measurement, the system comprising:
the timing acquisition module 100 is used for acquiring the stability information of the road pre-running area carrier at fixed time;
the first identifying module 200 is configured to identify vehicle stability information in a pre-driving area of a road;
a first generation module 300, configured to generate calibration discrimination information based on the calibration discrimination information;
The first acquisition module 400 is configured to acquire pre-measurement data based on calibration discrimination information;
the second acquisition module 500 is configured to acquire post-measurement data based on the review instruction;
an acquisition module 600, configured to acquire pre-measurement data and post-measurement data;
the comparison module 700 is configured to compare the pre-measurement data with the post-measurement data;
a second generation module 800, configured to generate a deviation value parameter;
a second identifying module 900, configured to identify a deviation value parameter;
a third generating module 1000 is configured to generate a guidance measurement policy based on the deviation value parameter.
In this embodiment, when the device is applied, the timing acquisition module 100 is used to acquire the stability information of the road pre-running area vehicle, the first identification module 200 is used to identify the stability information of the road pre-running area vehicle, the first generation module 300 is used to generate calibration discrimination information based on the calibration discrimination information, the first acquisition module 400 is used to acquire the pre-measurement data based on the calibration discrimination information, the second acquisition module 500 is used to acquire the post-measurement data based on the recheck instruction, the acquisition module 600 is used to acquire the pre-measurement data and the post-measurement data, the comparison module 700 is used to compare the pre-measurement data and the post-measurement data, the second generation module 800 is used to generate the deviation value parameter, the second identification module 900 is used to identify the deviation value parameter, and the third generation module 1000 is used to generate the guiding measurement strategy based on the deviation value parameter.
As shown in fig. 7, as another preferred embodiment of the present invention, the timing acquisition module 100 specifically includes:
a first acquiring unit 101 for acquiring pressure information of a plurality of pressure sensors;
the first identifying unit 102 is configured to identify whether pressure information of the plurality of pressure sensors is within a pressure threshold range.
In the application of the embodiment, the first acquiring unit 101 acquires the pressure information of the plurality of pressure sensors, and the first identifying unit 102 identifies whether the pressure information of the plurality of pressure sensors is within the pressure threshold range, and if the pressure information of the plurality of pressure sensors is not within the pressure threshold range, calibration discrimination information is generated.
As shown in fig. 8, as another preferred embodiment of the present invention, the comparison module 700 specifically includes:
an extracting unit 701 for extracting the pre-measurement data and the post-measurement data;
A first calculation unit 702 for calculating a difference between the pre-measurement data and the post-measurement data;
A first generation unit 703 for generating a relative comparison value;
a first judging unit 704, configured to judge whether the relative comparison value is greater than or equal to a relative comparison threshold;
The second generating unit 705 is configured to generate a deviation value parameter if the relative comparison value is greater than or equal to the relative comparison threshold value.
When the embodiment is applied, the extracting unit 701 is configured to extract the pre-measurement data and the post-measurement data, the first calculating unit 702 is configured to calculate a difference between the pre-measurement data and the post-measurement data, the first generating unit 703 is configured to generate a relative comparison value, the first judging unit 704 is configured to judge whether the relative comparison value is greater than or equal to a relative comparison threshold, and the second generating unit 705 is configured to generate a deviation value parameter if the relative comparison value is greater than or equal to the relative comparison threshold.
As shown in fig. 9, as another preferred embodiment of the present invention, the third generating module 1000 specifically includes:
A search unit 1001 for searching whether the offset parameter exists;
A second obtaining unit 1002, configured to obtain a real-time image of the target road surface at regular time if the deviation value parameter exists;
A second identifying unit 1003 for identifying and acquiring a real-time image of the target road surface;
an image enhancement unit 1004, configured to perform enhancement processing on the real-time image of the target road surface;
An extracting unit 1005 for extracting texture features in the real-time image of the target road surface;
a second calculating unit 1006, configured to calculate statistics of the texture features;
A second judging unit 1007 for judging whether the statistic is within a statistic threshold range;
and a third generating unit 1008, configured to generate a guidance measurement instruction if the statistic is within a statistic threshold range.
In this embodiment, when applied, the searching unit 1001 searches whether the deviation value parameter exists, the second obtaining unit 1002 is configured to obtain the target road surface real-time image at regular time if the deviation value parameter exists, the second identifying unit 1003 is configured to identify that the target road surface real-time image is obtained, the image enhancing unit 1004 is configured to perform enhancement processing on the target road surface real-time image, the extracting unit 1005 extracts a texture feature in the target road surface real-time image, the second calculating unit 1006 calculates a statistic of the texture feature, the second judging unit 1007 is configured to judge whether the statistic is within a statistic threshold range, and the third generating unit 1008 is configured to generate a guidance measurement instruction if the statistic is within the statistic threshold range.
The above embodiment of the present invention provides a visual guidance method for vehicle-mounted mobile measurement, and provides a visual guidance system for vehicle-mounted mobile measurement, where a measurement carrier performs mobile measurement according to a preset route, and the measurement carrier integrates various sensors, such as a total station, a laser scanner, a photogrammetry meter, and an inertial measurement unit, for acquiring coordinates, forms, and motion information of a measurement point, where the sensors sense and monitor various parameters and states of a vehicle, such as speed, acceleration, temperature, and humidity, in real time, and provide accurate and reliable basis for measurement, and at the same time, when the measurement carrier performs running measurement according to the preset route, the stability information of the vehicle in a road pre-running area is collected and identified at fixed time, and after the stability information of the vehicle in the road pre-running area is collected, it is identified and judged, when running measurement is performed, if the measurement carrier is not in the stable range, calibration judgment information is generated, and pre-set, and then the measurement target is generated based on the calibration information, and the measurement target is set and the measurement is set again after the measurement is performed on the preset route; the method comprises the steps of obtaining front measurement data and rear measurement data, comparing the front measurement data with the rear measurement data to generate deviation value parameters, presetting a deviation threshold value, identifying the deviation value parameters to generate an identification result, if the deviation value parameters are larger than or equal to the deviation threshold value, indicating that the deviation of the two measurement data is overlarge, the data accuracy is poor, obtaining a real-time road surface image of a target area, analyzing and identifying the real-time road surface image of the target area, identifying the road surface flatness of the target area, and if the road surface flatness of the target area reaches the flatness threshold value, sending a secondary measurement instruction, carrying out secondary measurement, and generating a secondary measurement result; the method and the system can detect the stability of the measuring carrier during movement, compare the multiple measuring data after the multiple measuring data are obtained, generate the deviation value parameter, prevent the measuring deviation caused by the vibration of the vehicle body, analyze the deviation value parameter, generate the guiding measuring strategy, further obtain the final measuring data, and further improve the accuracy of vehicle-mounted movement measurement.
In order to be able to load the method and system described above to function properly, the system may include more or less components than those described above, or may combine some components, or different components, in addition to the various modules described above, for example, may include input and output devices, network access devices, buses, processors, memories, and the like.
The processor may be a central processing unit, or may be other general purpose processors, digital signal processors, application specific integrated circuits, off-the-shelf programmable gate arrays or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. The general purpose processor may be a microprocessor or the processor may be any conventional processor or the like, which is a control center of the above system, and various interfaces and lines are used to connect the various parts.
The technical features of the above-described embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above-described embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The foregoing examples illustrate only a few embodiments of the invention and are described in detail herein without thereby limiting the scope of the invention. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the invention, which are all within the scope of the invention. Accordingly, the scope of protection of the present invention is to be determined by the appended claims.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, and alternatives falling within the spirit and principles of the invention.
Claims (9)
1. A visual guidance method for vehicle-mounted mobile measurement, the method comprising:
the method comprises the steps of regularly collecting and identifying stability information of a vehicle in a road pre-running area, and generating calibration judgment information;
Based on the calibration discrimination information, acquiring front measurement data and a rechecking instruction;
based on the rechecking instruction, acquiring post-measurement data;
Acquiring front measurement data and rear measurement data;
comparing the front measurement data with the rear measurement data to generate and identify a deviation value parameter;
Based on the deviation value parameter, a pilot measurement strategy is generated.
2. The visual guidance method for vehicle-mounted mobile measurement according to claim 1, wherein the step of periodically collecting and identifying the vehicle stability information in the road pre-running area, and the step of generating the calibration discrimination information specifically comprises the steps of:
Acquiring pressure information of a plurality of pressure sensors;
identifying whether pressure information of a plurality of pressure sensors is within a pressure threshold range;
if the pressure information of the plurality of pressure sensors is not in the pressure threshold range;
Calibration discrimination information is generated.
3. The visual guidance method for vehicle-mounted mobile measurement according to claim 1, wherein the acquiring the pre-measurement data and the recheck instruction based on the calibration discrimination information specifically comprises:
searching for whether calibration judging information exists;
if the calibration judging information exists, generating a rechecking instruction;
And uploading and storing the front-end measurement data.
4. The visual guidance method of vehicle-mounted mobile measurement according to claim 1, wherein the comparing the pre-measurement data and the post-measurement data, generating and identifying the deviation value parameter specifically includes:
Extracting front measurement data and rear measurement data;
calculating the difference value of the front measurement data and the rear measurement data to generate a relative comparison value;
judging whether the relative comparison value is larger than or equal to a relative comparison threshold value or not;
if the relative comparison value is greater than or equal to the relative comparison threshold value;
A deviation value parameter is generated.
5. The visual guidance method for vehicle-mounted mobile measurement according to claim 1, wherein the generating a guidance measurement policy based on the deviation value parameter specifically includes:
Retrieving whether the offset parameter exists;
if the deviation value parameter exists;
Acquiring a real-time image of the target pavement at regular time;
identifying and acquiring a real-time image of a target pavement;
carrying out enhancement treatment on the real-time image of the target pavement;
extracting texture features in the real-time image of the target pavement;
calculating statistics of the texture features;
judging whether the statistic is in a statistic threshold range or not;
If the statistic is in the statistic threshold range;
A boot measurement instruction is generated.
6. A vision guidance system for vehicle-mounted movement measurement, the system comprising:
the timing acquisition module is used for acquiring the stability information of the road pre-running area carrier at fixed time;
The first identification module is used for identifying the stability information of the vehicle in the road pre-running area;
the first generation module is used for generating calibration discrimination information based on the calibration discrimination information;
the first acquisition module is used for acquiring front measurement data based on the calibration discrimination information;
the second acquisition module is used for acquiring post-measurement data based on the rechecking instruction;
the acquisition module is used for acquiring the front measurement data and the rear measurement data;
The comparison module is used for comparing the front measurement data with the rear measurement data;
the second generation module is used for generating a deviation value parameter;
the second identification module is used for identifying the deviation value parameter;
and the third generation module is used for generating a guiding measurement strategy based on the deviation value parameter.
7. The visual guidance system for vehicle-mounted movement measurement according to claim 6, wherein the timing acquisition module specifically comprises:
The first acquisition unit is used for acquiring pressure information of a plurality of pressure sensors;
The first identification unit is used for identifying whether the pressure information of the plurality of pressure sensors is in a pressure threshold range.
8. The visual guidance system for vehicle-mounted movement measurement according to claim 6, wherein the comparison module specifically comprises:
the extraction unit is used for extracting the front measurement data and the rear measurement data;
a first calculation unit for calculating a difference between the front measurement data and the rear measurement data;
A first generation unit configured to generate a relative comparison value;
A first judging unit configured to judge whether the relative comparison value is greater than or equal to a relative comparison threshold;
And the second generation unit is used for generating a deviation value parameter if the relative comparison value is greater than or equal to the relative comparison threshold value.
9. The visual guidance system for vehicle-mounted movement measurement of claim 6, wherein the third generation module specifically comprises:
a search unit for searching whether the deviation value parameter exists;
The second acquisition unit is used for acquiring the real-time image of the target road surface at regular time if the deviation value parameter exists;
The second identification unit is used for identifying and acquiring the real-time image of the target pavement;
the image enhancement unit is used for enhancing the real-time image of the target pavement;
the extraction unit is used for extracting texture features in the targeted pavement real-time image;
A second calculation unit for calculating statistics of the texture features;
a second judging unit for judging whether the statistic is within a statistic threshold range;
And the third generation unit is used for generating a guiding measurement instruction if the statistic is in the statistic threshold range.
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| CN113295137A (en) * | 2021-05-21 | 2021-08-24 | 吉林大学 | Road unevenness identification method based on vehicle wheel speed fluctuation |
| CN113771573A (en) * | 2021-09-22 | 2021-12-10 | 北京车和家信息技术有限公司 | Vehicle suspension control method and device based on road surface identification information |
| CN114758322A (en) * | 2022-05-13 | 2022-07-15 | 安徽省路通公路工程检测有限公司 | Road quality detection system based on machine identification |
| CN117364582A (en) * | 2023-10-23 | 2024-01-09 | 惠州市德赛西威汽车电子股份有限公司 | Road surface flatness detection system, method, device, equipment and storage medium |
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| CN113295137A (en) * | 2021-05-21 | 2021-08-24 | 吉林大学 | Road unevenness identification method based on vehicle wheel speed fluctuation |
| CN113771573A (en) * | 2021-09-22 | 2021-12-10 | 北京车和家信息技术有限公司 | Vehicle suspension control method and device based on road surface identification information |
| CN114758322A (en) * | 2022-05-13 | 2022-07-15 | 安徽省路通公路工程检测有限公司 | Road quality detection system based on machine identification |
| CN117364582A (en) * | 2023-10-23 | 2024-01-09 | 惠州市德赛西威汽车电子股份有限公司 | Road surface flatness detection system, method, device, equipment and storage medium |
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