Method and apparatus for identifying speed measurement points along way, and electronic device and storage medium

Abstract

A method and apparatus for identifying speed measurement points along the way, and an electronic device and a storage medium. The method comprises: acquiring from a server a speed measurement point set corresponding to a travel route generated by navigation, wherein the speed measurement point set comprises identification strategy information for a plurality of speed measurement points, and the identification strategy information comprises target location information, a speed measurement road section range, and a target radar band (110); when a vehicle arrives at the speed measurement road section range, identifying a target image acquired by a camera, to obtain a speed measurement point device identification result and a flash effect identification result (120); determining a radar band identification result of a speed measurement point on the basis of the speed measurement point device identification result, radar band information sensed by a radar wave sensing apparatus, and the target radar band (130); and taking the speed measurement point device identification result, the flash effect identification result, and the radar band identification result as identification result data of the speed measurement point (140).

Description

Method and device for identifying speed measurement point along route, electronic device and storage medium

[0001] The present application claims priority to the Chinese patent application No. 202410887905.9, filed on July 3, 2024, and entitled "Method and device for identifying speed measurement point along route, electronic device and storage medium", the content of which is incorporated herein by reference in its entirety. TECHNICAL FIELD

[0002] The present application relates to the technical field of image processing, and more particularly, to a method and device for identifying speed measurement point along route, an electronic device and a storage medium. BACKGROUND

[0003] In the vehicle navigation scene, the vehicle will broadcast a language message such as how many meters of speed measurement in front when passing through the speed measurement section. The speed measurement point camera data in the navigation software map is generally obtained from the official platform, but in fact, many cameras in the speed measurement point camera data are not really enabled. The frequent voice broadcast of all speed measurement points will distract the driver's attention, which may cause the driver to brake suddenly to cope with the speed measurement on the road, thereby affecting the driving safety. SUMMARY

[0004] The present application aims to provide a method and device for identifying speed measurement point along route, an electronic device and a storage medium. The speed measurement point device recognition and flash effect recognition of the target image obtained by the camera are performed by the speed measurement point recognition model to obtain the speed measurement point device recognition result and the flash effect recognition result, which are used as the recognition result data of the speed measurement point together with the radar waveband recognition result, so as to realize the recognition of the speed measurement point device. After determining whether the speed measurement point is in the enabled state based on the recognition result data, voice broadcast is performed according to the state, which avoids distracting the driver's attention and helps to improve the driving safety.

[0005] In a first aspect, the present application discloses a method for identifying speed measurement point along route, comprising:

[0006] obtaining a speed measurement point set corresponding to a driving route generated by navigation from a server, the speed measurement point set comprising identification strategy information of a plurality of speed measurement points on the driving route, and the identification strategy information of each speed measurement point comprising target position information, speed measurement section range and target radar waveband;

[0007] when the vehicle reaches the speed measurement section range of the speed measurement point according to the target position information, performing speed measurement point device recognition and flash effect recognition on a target image obtained by a camera by a speed measurement point recognition model to obtain speed measurement point device recognition result and flash effect recognition result;

[0008] According to the speed measurement point position device recognition result, the radar wave band information sensed by the radar wave sensing device, and the target radar wave band, a radar wave band recognition result of the speed measurement point position is determined.

[0009] The speed measurement point position device recognition result, the flash light effect recognition result, and the radar wave band recognition result are taken as the recognition result data of the speed measurement point position.

[0010] Based on the above technical content, by obtaining the identification strategy information of the plurality of speed measurement point positions corresponding to the driving route generated by the navigation from the server, when the speed measurement section range of the speed measurement point position reached by the vehicle is determined according to the target position information in the identification strategy information, the speed measurement point position device recognition and the flash light effect recognition are performed on the target image obtained by the camera through the speed measurement point position recognition model, the speed measurement point position device recognition result and the flash light effect recognition result are obtained, the radar wave band recognition result of the speed measurement point position is determined according to the speed measurement point position recognition result, the radar wave band information sensed by the radar sensing device, and the target radar wave band, the speed measurement point position device recognition result, the flash light effect recognition result, and the radar wave band recognition result are taken as the recognition result data of the speed measurement point position, the recognition of the speed measurement point position device is realized, the accuracy of the speed measurement point position recognition is improved, the false positives and the false negatives are reduced, the driver's attention is avoided from being distracted by frequent voice broadcast, and the driving safety is improved.

[0011] Optionally / in an implementation, according to the speed measurement point position device recognition result, the radar wave band information sensed by the radar wave sensing device, and the target radar wave band, the radar wave band recognition result of the speed measurement point position is determined, including:

[0012] When the identification success result of the speed measurement radar device is included in the speed measurement point position device recognition result, the first relative position information of the speed measurement radar device and the vehicle is identified from the target image;

[0013] At least one radar wave band sensed by the radar wave sensing device and the second relative position information corresponding to each radar wave band are obtained;

[0014] The at least one radar wave band is compared with the target radar wave band respectively to obtain a first comparison result, and the second relative position information is compared with the first relative position information to obtain a second comparison result;

[0015] According to the first comparison result and the second comparison result, the radar wave band recognition result is determined.

[0016] By further performing the position and radar wave band double verification based on the identification result and the data of the radar wave sensing device after the speed measurement radar device is identified, the radar wave band recognition result is determined according to the verification result, and the reliability of the radar wave band recognition result is improved.

[0017] Optionally, according to the first comparison result and the second comparison result, the radar band recognition result is determined, including:

[0018] For the radar band same as the target radar band in the first comparison result, if the radar band has the second comparison result in which the distance between the first relative position information and the second relative position information is less than or equal to the distance threshold, it is determined that the radar band recognition result is successful;

[0019] If the distance in the second comparison result corresponding to the radar band is greater than the distance threshold, it is determined that the radar band recognition result is failed.

[0020] The distance threshold is used to determine whether the radar band is matched, further filtering the effective radar signal, reducing the false judgment probability of the radar band, and improving the accuracy of radar band recognition.

[0021] Optionally, when the speed measurement point recognition is completed or the vehicle drives out of the speed measurement road section range, the speed measurement point recognition is ended.

[0022] The recognition operation is ended when the recognition is completed or the vehicle drives out of the speed measurement road section, so as to release the computing resources in time and avoid invalid speed measurement point recognition.

[0023] Optionally, when the navigation is ended, the recognition result data of each speed measurement point in the driving route is sent to the server, and the recognition result data is used as the basis data for the server to determine the enable state of the speed measurement point.

[0024] The recognition result of each speed measurement point is uploaded to the server when the navigation is ended, so as to update the speed measurement point state in time, optimize the total of the speed measurement point enable state of the server, and further provide more accurate navigation information for other vehicles.

[0025] Optionally, after the speed measurement point device recognition result, the flash effect recognition result and the radar band recognition result are used as the speed measurement point recognition result data, further including:

[0026] According to the speed measurement point device recognition result, the flash effect recognition result and the radar band recognition result, the state information of the speed measurement point is determined.

[0027] The state information of the speed measurement point is comprehensively determined according to the device recognition result, the flash effect recognition result and the radar band recognition result, so as to accurately distinguish the effective and invalid speed measurement points according to the state information, avoid broadcasting the false or unenabled point, avoid distracting the driver's attention, and improve the driving safety.

[0028] Optionally, according to the speed measurement point device recognition result, the flash effect recognition result and the radar band recognition result, the state information of the speed measurement point is determined, including:

[0029] In the case that the speed measurement point position device recognition result recognizes the speed measurement camera, the speed measurement flash and the speed measurement radar device, if the flash effect recognition result is successful and the radar wave band recognition result is successful, the state information is determined to be enabled.

[0030] In the case that the speed measurement point position device recognition result recognizes the speed measurement camera, the speed measurement flash and the speed measurement radar device, if at least one of the flash effect recognition result and the radar wave band recognition result is failed, the state information is determined to be not enabled.

[0031] If at least one of the speed measurement camera, the speed measurement flash and the speed measurement radar device is not recognized in the speed measurement point position device recognition result, the state information is determined to be a false point position.

[0032] The state information is further determined according to the obtained speed measurement point position device recognition result, so as to improve the reliability and real-time performance of the state information.

[0033] Optionally, before the speed measurement point position device recognition and the flash effect recognition are performed on the target image obtained by the camera through the speed measurement point position recognition model, the method further comprises:

[0034] The speed measurement point position recognition model is obtained from the server, and the speed measurement point position recognition model is obtained by updating the original speed measurement point position recognition model based on historical image data in which the speed measurement point position recognition is successful.

[0035] The speed measurement point position recognition model is optimized based on the historical successful data, so that the dynamically updated speed measurement point position recognition model can be obtained from the server, thereby continuously improving the recognition accuracy.

[0036] Optionally, the set of speed measurement point positions further comprises total state information of each speed measurement point position in the set of speed measurement point positions, the total state information being state information with a proportion greater than a proportion threshold in the same speed measurement point position, and the total state information comprising enabled, not enabled or false point position.

[0037] The method further comprises:

[0038] When the vehicle drives to the speed measurement point position with the total state information being enabled, voice broadcast is performed.

[0039] The voice broadcast is triggered according to the total state information, so as to realize the voice broadcast only for the speed measurement point position with a high probability of being enabled, reduce the broadcast interference, enhance the practicability and improve the driving safety.

[0040] Optionally, the flash effect recognition result comprises a flash effect image and a flash effect recognition result.

[0041] When the flash effect image includes the flash-on image, the flash-expanding image and the flash light pen image, the flash effect recognition result is successful.

[0042] The flash effect is confirmed through the flash-on image, the flash-expanding image and the flash light pen image, avoiding the misjudgment of instantaneous flash and improving the reliability of flash recognition.

[0043] In a second aspect, the application discloses a device for identifying speed-checking points along a route, comprising:

[0044] A point information acquisition module is configured to acquire, from a server, a set of speed-checking points corresponding to a driving route generated by navigation, wherein the set of speed-checking points comprises identification strategy information of a plurality of speed-checking points on the driving route, and the identification strategy information of each speed-checking point comprises target position information, a speed-checking road section range and a target radar wave band.

[0045] A first identification module is configured to, when the vehicle reaches the speed-checking road section range of the speed-checking point according to the target position information, perform speed-checking point device identification and flash effect identification on a target image acquired by a camera through a speed-checking point identification model, and obtain a speed-checking point device identification result and a flash effect identification result.

[0046] A second identification module is configured to determine a radar wave band identification result of the speed-checking point according to the speed-checking point device identification result, radar wave band information sensed by a radar wave sensing device and the target radar wave band.

[0047] An identification result determination module is configured to take the speed-checking point device identification result, the flash effect identification result and the radar wave band identification result as identification result data of the speed-checking point.

[0048] Based on the above technical content, the identification strategy information of a plurality of speed-checking points corresponding to a driving route generated by navigation is acquired from a server, when the vehicle reaches the speed-checking road section range of the speed-checking point according to the target position information in the identification strategy information, speed-checking point device identification and flash effect identification are performed on a target image acquired by a camera through a speed-checking point identification model, a speed-checking point device identification result and a flash effect identification result are obtained, a radar wave band identification result of the speed-checking point is determined according to the speed-checking point device identification result, radar wave band information sensed by a radar sensing device and the target radar wave band, the speed-checking point device identification result, the flash effect identification result and the radar wave band identification result are taken as the identification result data of the speed-checking point, the identification of the speed-checking point device is realized, the accuracy of speed-checking point identification is improved, false positives and false negatives are reduced, the distraction of the driver caused by frequent voice broadcast is avoided, and the driving safety is improved.

[0049] In a third aspect, the present application discloses an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the steps of the on-the-way speed measurement point position recognition method of the first aspect when executing the computer program.

[0050] In a fourth aspect, the present application discloses a computer-readable storage medium, which stores a computer program, and the program implements the steps of the on-the-way speed measurement point position recognition method of the first aspect when executed by a processor.

[0051] In combination with the above technical solutions, the present application obtains a set of speed measurement point positions on a navigation route from a server, and in combination with a camera, a radar wave sensing device, and a dynamically optimized speed measurement point position recognition model, the speed measurement point device, the flash effect, and the radar wave band are identified in multiple dimensions in real time, and the state information of the speed measurement point is accurately judged based on the recognition result, so as to perform voice broadcast on the speed measurement point confirmed as an enabled state, effectively avoiding the interference caused to the driver by frequent false reports, and at the same time, other radar signal interference is excluded through double verification of the position and the wave band, thereby significantly improving the recognition accuracy and driving safety. BRIEF DESCRIPTION OF DRAWINGS

[0052] FIG. 1 is a flowchart of an on-the-way speed measurement point position recognition method according to an embodiment of the present application;

[0053] FIG. 2 is a flowchart of a radar wave band recognition result of a speed measurement point position according to an embodiment of the present application;

[0054] FIG. 3 is a structural schematic diagram of an on-the-way speed measurement point position recognition device according to an embodiment of the present application;

[0055] FIG. 4 is a structural schematic diagram of an electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0056] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the scope of protection of the present application.

[0057] The data transmission method provided by the present application aims to solve the above technical problems in the prior art.

[0058] The technical solutions of the present application and how the technical solutions of the present application solve the above technical problems will be described in detail below with specific embodiments. The following specific embodiments can be combined with each other, and the same or similar concepts or processes can not be described again in some embodiments. The embodiments of the present application will be described below with reference to the drawings.

[0059] FIG. 1 is a flowchart of a method for identifying speed measurement points along a route, which can be executed by a navigation client, as shown in FIG. 1, the method comprises steps 110 to 140.

[0060] In step 110, a set of speed measurement points corresponding to a driving route generated by a server is obtained, the set of speed measurement points comprises identification strategy information of a plurality of speed measurement points on the driving route, and the identification strategy information of each speed measurement point comprises target position information, a speed measurement section range, and a target radar band.

[0061] The target position information is position information, i.e. latitude and longitude information, of the speed measurement point. The speed measurement section range is a range of a section on which speed measurement point identification needs to be performed, for example, identification is started 100 meters away from the speed measurement point and identification is ended when the speed measurement point is left. The target radar band is a radar band of a speed measurement radar device at the speed measurement point. Hardware devices of the speed measurement point include a speed measurement camera, a speed measurement flash, and a speed measurement radar device, which together complete speed measurement on a passing vehicle.

[0062] A vehicle terminal device or an electronic device such as a mobile phone starts a vehicle navigation client, the navigation client generates a driving route based on a given starting point and ending point, a server generates speed measurement identification strategies of all speed measurement points on the generated driving route according to a map source of a traffic management department, and the speed measurement identification strategies are delivered to the navigation client (navigation software) in an array at one time, and the navigation client receives the set of speed measurement points corresponding to the driving route delivered by the server. The server is a navigation cloud server, which is used to provide navigation services.

[0063] For example, the set of speed measurement points delivered by the server can be represented as follows:

[0064] The start identification distance represents a speed measurement section range, i.e. identification of the speed measurement point is started when the distance between the vehicle and the speed measurement point is the start identification distance.

[0065] The navigation client parses the identification strategy information of each speed measurement point in the set of speed measurement points delivered by the server. The identification position (Location) field obtains the target position information of the speed measurement point device; the identification distance (Distance) field obtains a distance from the target position information of the speed measurement device, and identification of the speed measurement point is started in advance when the distance is reached, and identification is stopped when the target position information is left; and the identification radar band (NeedRadarBand) field obtains the target radar band of the speed measurement radar device at the speed measurement point, and identification of the speed measurement radar device is performed, and a radar device conforming to the target radar band needs to be identified.

[0066] In step 120, when the vehicle reaches the speed measurement section range according to the target position information, the speed measurement point device recognition model is used to identify the speed measurement point device and the flash effect in the target image obtained by the camera, and the speed measurement point device recognition result and the flash effect recognition result are obtained.

[0067] The navigation client collects the changes of the vehicle-mounted GPS (Global Positioning System), and waits to drive to the speed measurement section range in the recognition strategy information. When the navigation client determines that the distance between the vehicle and the target position information in the recognition strategy information is in the speed measurement section range based on the position feedback of the GPS, the vehicle-mounted recognition module is started and the speed measurement point recognition model is transmitted to the vehicle-mounted recognition module, the radar wave sensing device is started to identify the radar wave band, the vehicle-mounted recognition module loads the speed measurement point recognition model, and each frame of target image obtained by the vehicle-mounted camera is identified by the speed measurement point recognition model using a deep learning target detection algorithm to identify the speed measurement point device and the flash effect, and the speed measurement point device recognition result and the flash effect recognition result are obtained. The navigation client (navigation software) is replied with the recognition result. The speed measurement point recognition model is generated by training image data based on an image training algorithm, and then the recognition algorithm is added to the recognition model to perform image recognition processing. In addition, the speed measurement point recognition model can be continuously imported into real images and optimized by a training algorithm to improve the recognition accuracy.

[0068] The speed measurement point device recognition result includes the recognition result of each speed measurement device (speed measurement camera, speed measurement flash, and speed measurement radar device) and the corresponding image data, and the flash effect recognition result includes the flash effect recognition result and the flash effect image. The flash effect recognition result includes a successful recognition or a failed recognition, which refers to the result of whether the flash effect is successful. When the flash effect image includes a flash on image, a flash expansion image, and a flash light pen image, the flash effect recognition result is successful, otherwise, the flash effect is failed. The recognition result can be a text form recognition result.

[0069] The speed measurement point device recognition result and the flash effect recognition result can adopt the following data structure:

[0070] In the above data structure, the latitude and longitude refer to the target position information of the identified speed measurement point. When a speed measurement flash is identified from an image, the speed measurement flash identification result is successful identification; otherwise, the speed measurement flash identification result is failed identification. When a speed measurement radar device is identified from an image, the speed measurement radar device identification result is successful identification; otherwise, the speed measurement radar device identification result is failed identification. When a speed measurement camera is identified from an image, the speed measurement camera identification result is successful identification; otherwise, the speed measurement camera identification result is failed identification.

[0071] In identifying the flash effect, three images need to be identified, namely, the flash-on image, the flash-expansion image, and the flash-light pen image. Among them, the flash-on image is to use an image recognition object tracking algorithm to identify the light emitted from the identified flash device; the flash-expansion image is to identify the flash fully on, and the image is fully bright; and the flash-light pen image is to use an image recognition object tracking algorithm to identify the end of the light emitted from the identified flash device.

[0072] Among them, the speed measurement point identification model is based on a model of a depth image recognition algorithm and a target detection algorithm. The depth image recognition algorithm refers to an algorithm for analyzing and identifying a depth image using a deep learning method. The depth image is an image containing object distance information, usually including an RGB image and a depth image (or called a distance image). The target image obtained by the camera in the embodiment of the application is a depth image.

[0073] The target detection algorithm is used to locate and identify objects in a depth image. Common target detection algorithms include deep learning-based algorithms (such as Faster R-CNN, YOLO, etc.) and traditional computer vision-based algorithms (such as edge, texture, and shape feature-based methods).

[0074] The model training of the target detection algorithm usually needs the following steps 1 to 8:

[0075] 1. Data collection and labeling: collect image data sets containing target objects (including speed measurement cameras, speed measurement flashes, and speed measurement radar devices), and label them. The labeling information should include the position and category of the object. Usually, enough labeled data is needed to train an accurate model.

[0076] 2. Data preprocessing: pre-process the collected image data, including resizing, cropping, enhancement, etc., to improve the performance and robustness of the model. At the same time, the image data needs to be converted into an input format acceptable by the model.

[0077] 3. Model selection: Select an appropriate algorithm model for the target detection task. Common target detection algorithms include Faster R-CNN, YOLO, SSD (Single Shot MultiBox Detector), etc. The choice can be made according to the task requirements and the limitations of computing resources.

[0078] 4. Model initialization: Based on the selected algorithm model, initialize on the basis of pre-trained model weights. Pre-trained models are usually trained on large-scale image datasets and can serve as the starting point for model initialization.

[0079] 5. Loss function definition: Define a suitable loss function according to the characteristics of the target detection task. Common loss functions include target classification loss and bounding box regression loss. The definition of the loss function is crucial for the training and optimization of the model.

[0080] 6. Model training: Train the selected model using the annotated image dataset. During the training process, the model learns how to automatically extract features from images and perform target classification and location positioning. The training process usually uses optimization algorithms such as gradient descent to update parameters.

[0081] 7. Model evaluation: Evaluate the trained model using another test dataset, including calculating accuracy, recall, precision, etc. to evaluate the performance of the model. Model tuning and parameter adjustment can be performed based on the evaluation results.

[0082] 8. Model deployment: Apply the trained model to actual target detection tasks to predict and recognize new images. Target detection can be achieved through model inference and prediction.

[0083] Step 130, according to the speed point position device recognition result, the radar wave band information sensed by the radar wave sensing device and the target radar wave band, determine the radar wave band recognition result of the speed point position.

[0084] Among them, the radar wave sensing device is a device installed on the vehicle, used to sense the surrounding radar wave band.

[0085] When the speed measurement radar device is identified in the speed measurement point position device identification result, it is further needed to determine whether the speed measurement radar device is in an enabled state, at this time, the radar wave band information around the speed measurement radar device can be sensed through the radar wave sensing device, the radar wave band information same as the target radar wave band is screened out from the radar wave band information as the candidate radar wave band information, and the position of the speed measurement radar device is identified from the image, if the position corresponding to each candidate radar wave band information exists the candidate radar wave band information same as or similar to (the distance is less than or equal to the distance threshold) the position identified from the image, at this time, the radar wave band identification result is identification success, if the position corresponding to each candidate radar wave band information does not exist the candidate radar wave band information same as or similar to (the distance is less than or equal to the distance threshold) the position identified from the image, at this time, the radar wave band identification result is identification failure.

[0086] In step 140, the speed measurement point position device identification result, the flash effect identification result and the radar wave band identification result are taken as the identification result data of the speed measurement point position.

[0087] The speed measurement point position device identification result, the flash effect identification result and the radar wave band identification result are taken as the identification result data of the speed measurement point position, which facilitates determining whether the speed measurement device of the speed measurement point position is enabled based on the identification result data.

[0088] The speed measurement point position identification method provided by the embodiment of the present application obtains the speed measurement point position set corresponding to the driving route generated by the server, the speed measurement point position set includes the identification strategy information of multiple speed measurement point positions, when the vehicle reaches the speed measurement section range of the speed measurement point position according to the target position information in the identification strategy information, the speed measurement point position device identification and the flash effect identification are performed on the target image obtained by the camera through the speed measurement point position identification model to obtain the speed measurement point position device identification result and the flash effect identification result, the radar wave band identification result of the speed measurement point position is determined according to the speed measurement point position identification result, the radar wave band information sensed by the radar sensing device and the target radar wave band, the speed measurement point position device identification result, the flash effect identification result and the radar wave band identification result are taken as the identification result data of the speed measurement point position, which facilitates determining whether the speed measurement point position is in an enabled state based on the identification result data, realizes the identification of the speed measurement point position device, and can perform voice broadcast based on the determined state, the speed measurement point position which is not enabled can not perform voice broadcast, which can avoid distracting the attention of the driver and help to improve the driving safety.

[0089] Fig. 2 is a flow chart of radar band identification result of the speed measurement point in the embodiment of the application. In determining the radar band identification result of the speed measurement point, the speed measurement point device identification result, the radar wave band information sensed by the radar wave sensing device and the target radar wave band are combined to determine. As shown in Fig. 2, according to the speed measurement point device identification result, the radar wave band information sensed by the radar wave sensing device and the target radar wave band, the radar wave band identification result of the speed measurement point is determined, including the following steps:

[0090] Step 131, when the speed measurement point device identification result includes the identification success result of the speed measurement radar device, identifying the first relative position information between the speed measurement radar device and the vehicle from the target image.

[0091] When the speed measurement point device identification result includes the identification success result of the speed measurement radar device, it means that the speed measurement radar device on the speed measurement point is successfully identified from the target image. At this time, it is necessary to further determine whether the speed measurement radar device is transmitting radar signals, so as to determine whether the speed measurement radar device is in an enabled state.

[0092] When the speed measurement radar device is identified from the target image by the speed measurement point identification model, the speed measurement point identification model can simultaneously identify the first relative position information between the speed measurement radar device and the vehicle from the target image. The first relative position information can be represented in the form of three-dimensional coordinates.

[0093] Specifically, the vehicle-mounted identification module can identify in real time by the speed measurement point identification model, and use an image recognition object tracking algorithm to return the coordinate information (first relative position information) of the speed measurement radar device to the navigation software (navigation client) in real time. The data structure of the first relative position information is as follows:

[0094] {

[0095] RadarBandPath: [x, y, z] / / three-dimensional coordinates

[0096] }

[0097] In the above three-dimensional coordinates, z represents the distance between the speed measurement radar device in the speed measurement point and the vehicle, that is, the depth information, and x and y represent the coordinate information corresponding to the target image coordinates.

[0098] Step 132, obtaining at least one radar wave band sensed by the radar wave sensing device and the second relative position information corresponding to each radar wave band.

[0099] The radar wave sensing device on the vehicle returns the radar recognition result (radar wave band and corresponding second relative position information) to the navigation client in real time. The second relative position information can be in the form of three-dimensional coordinates. The second relative position information in the radar recognition result returned by the radar wave sensing device can be the recognized angle and distance, and the navigation client can calculate the second relative position information in the form of three-dimensional coordinates based on the angle and distance.

[0100] The data structure of each radar wave band and second relative position information determined based on the radar recognition result returned by the radar wave sensing device can be as follows:

[0101] Among the three-dimensional coordinates, the coordinate z represents the distance between the radar device and the vehicle, and the coordinates x and y represent the coordinate information that can correspond to the target image coordinates calculated based on the angle sensed by the radar wave sensing device.

[0102] Step 133, comparing at least one radar wave band with the target radar wave band respectively to obtain a first comparison result, and comparing the second relative position information with the first relative position information to obtain a second comparison result.

[0103] Among the three-dimensional coordinates, the coordinate z represents the distance between the radar device and the vehicle, and the coordinates x and y represent the coordinate information that can correspond to the target image coordinates calculated based on the angle sensed by the radar wave sensing device.

[0104] Step 134, determining the radar wave band recognition result according to the first comparison result and the second comparison result.

[0105] From the first comparison result, the radar wave bands identical to the target radar wave band are screened out, and for these radar wave bands, it is determined from the second comparison result whether the second relative position information of these radar wave bands is identical or similar to the first relative position information. If there is second relative position information identical or similar to the first relative position information in the second relative position information of the screened radar wave bands, it is determined that the radar wave band corresponding to the second relative position information is the radar wave band emitted by the speed measurement radar device, and it is determined that the radar wave band recognition result is successful. If there is no second relative position information identical or similar to the first relative position information in the second relative position information of the screened radar wave bands, it is determined that the radar wave band recognition result is failed.

[0106] In an embodiment of the present application, the radar band recognition result is determined according to the first comparison result and the second comparison result, including: for the radar bands same as the target radar band in the first comparison result, if there is a second comparison result in which the distance between the first relative position information and the second relative position information of the radar band is less than or equal to the distance threshold, it is determined that the radar band recognition result is successful; if the distance in the second comparison result corresponding to the radar band is greater than the distance threshold, it is determined that the radar band recognition result is failed.

[0107] For the radar bands same as the target radar band in the first comparison result, the distance between the second relative position information and the first relative position information of these radar bands is obtained from the second comparison result. If there is a second comparison result in which the distance is less than or equal to the distance threshold, it is determined that the radar band recognition result is successful, that is, the speed measurement radar device of the speed measurement point is in an enabled state. If the distance in the second comparison result is greater than the distance threshold, it is determined that the radar band recognition result is failed, that is, the speed measurement radar device of the speed measurement point is in a disabled state. The distance threshold is a small distance, for example, 1 meter, 0.5 meters, 0.1 meters, etc.

[0108] By combining the speed measurement radar device identified in the target image and the first relative position information of the vehicle, the radar band that meets the target radar band and the first relative position information is selected from the radar bands sensed by the induction wave sensing device, which can prevent interference from other radar devices on the road surface.

[0109] Optionally, on the basis of the above technical solution, the method further includes: ending the identification of the speed measurement point when the identification of the speed measurement point is completed or the vehicle drives out of the speed measurement section range.

[0110] The identification of the speed measurement point is completed, which means that the speed measurement point device recognition result, the flash light effect recognition result, and the radar band recognition result are successfully obtained.

[0111] When the identification of the speed measurement point is completed or the vehicle drives out of the test section range in the identification strategy information, the navigation client ends the identification, ends the vehicle-mounted identification module, and ends the sensing of the radar sensing device. The final identification result data is saved to the local client.

[0112] The data structure of the identification result data maintained locally is as follows:

[0113] By ending the identification of the speed measurement point when the identification of the speed measurement point is completed or the vehicle drives out of the speed measurement section range, the computing resources can be released in time.

[0114] On the basis of the above technical solutions, the method further comprises: sending the recognition result data of each speed measurement point in the driving route to the server at the end of navigation, the recognition result data being used as basic data for the server to determine the activation state of the speed measurement point.

[0115] At the end of navigation, the client uploads all the locally saved recognition result data to the navigation cloud server, and the navigation cloud server can determine the state information of the speed measurement point based on the recognition result data of each speed measurement point. The state information can include activation, non-activation, or false point, etc.

[0116] If the speed measurement camera, speed measurement flash, speed measurement radar device, flash effect three frames of graphics are recognized in the recognition result data, and the target radar band matched in the recognition strategy information is recognized, it is determined that the state information of the speed measurement point is activated, and the recognition result of the speed measurement point is recorded as activated.

[0117] If the speed measurement camera, speed measurement flash, speed measurement radar device are recognized in the recognition result data, and the flash effect or target radar band is not recognized, it is determined that the state information of the speed measurement point is non-activated, and the recognition result of the speed measurement point is recorded as non-activated. All hardware devices are completely recognized, which indicates that the speed measurement point exists, but the speed measurement flash and speed measurement radar device are not started, which indicates that the speed measurement point device is not in an open state, so it is determined as non-activated.

[0118] If at least one of the speed measurement camera, speed measurement flash, and speed measurement radar device is not recognized in the recognition result data, it is determined that the state information of the speed measurement point is a false point, and the recognition result of the speed measurement point is recorded as a false point. Because all hardware devices are not completely recognized, it indicates that the hardware devices of the speed measurement point are incomplete, and there is actually no speed measurement device, so it is determined as a false point.

[0119] After the server receives the recognition result data sent by the navigation client, the server stores the recognition result data in the database. The server extracts the image data successfully recognized (i.e., all speed measurement devices, flash effect, and target radar band are successfully recognized) from the recognition result data, optimizes and trains the original speed measurement point recognition model using a deep learning image recognition training algorithm, and generates a new speed measurement point recognition model with higher recognition accuracy.

[0120] By sending the recognition result data to the server, the server can determine the state information of the speed measurement point based on the recognition result data, facilitate voice broadcast of the truly activated speed measurement point, and optimize the speed measurement point recognition model based on the successful recognition result data to improve the recognition accuracy of the speed measurement point recognition model.

[0121] On the basis of the above technical solutions, after taking the speed measurement point position device recognition result, the flash effect recognition result and the radar wave band recognition result as the recognition result data of the speed measurement point position, further comprising: determining the state information of the speed measurement point position according to the speed measurement point position device recognition result, the flash effect recognition result and the radar wave band recognition result.

[0122] The state information can include enabled, disabled, false point position, etc.

[0123] The client can also determine the state information of the speed measurement point position and send the state information and the recognition result data to the server for storage and subsequent processing. Of course, the operation of determining the state information of the speed measurement point position can also be performed by the server, that is, after receiving the recognition result data sent by the client, the server determines the state information of the speed measurement point position based on the speed measurement point position device recognition result, the flash effect recognition result and the radar wave band recognition result in the recognition result data.

[0124] Optionally, the state information of the speed measurement point position is determined according to the speed measurement point position device recognition result, the flash effect recognition result and the radar wave band recognition result, comprising:

[0125] In the case that the speed measurement camera, the speed measurement flash and the speed measurement radar device are recognized in the speed measurement point position device recognition result, if the flash effect recognition result is recognized successfully and the radar wave band recognition result is recognized successfully, the state information is determined as enabled;

[0126] In the case that the speed measurement camera, the speed measurement flash and the speed measurement radar device are recognized in the speed measurement point position device recognition result, if at least one of the flash effect recognition result and the radar wave band recognition result is recognized unsuccessfully, the state information is determined as disabled;

[0127] If at least one of the speed measurement camera, the speed measurement flash and the speed measurement radar device is not recognized in the speed measurement point position device recognition result, the state information is determined as a false point position.

[0128] Complete recognition of all hardware devices indicates that the speed measurement point position exists, and when the flash effect and the radar wave band are recognized, it indicates that the hardware devices of the speed measurement point position are in an enabled state, so the state information is determined as enabled. Complete recognition of all hardware devices indicates that the speed measurement point position exists, but the flash effect and the radar wave band are not recognized, which indicates that the speed measurement flash and the speed measurement radar device are not started, indicating that the devices of the speed measurement point position are not in an enabled state, so it is determined as disabled. Incomplete recognition of all hardware devices indicates that the hardware devices of the speed measurement point position are incomplete, and there is actually no speed measurement device, so it is determined as a false point position.

[0129] By determining the state information of each speed measurement point, only the truly enabled speed measurement point can be announced in subsequent voice broadcast, and the speed measurement point which is not enabled or false point is not announced, so as to prevent frequent voice broadcast from interfering with the attention of the driver and improve the driving safety.

[0130] On the basis of the above technical solution, before the speed measurement point device recognition and flash effect recognition of the target image acquired by the camera are performed through the speed measurement point recognition model, the method further comprises the following steps of:

[0131] The speed measurement point recognition model is obtained from the server, and the speed measurement point recognition model is obtained by the server based on historical image data of successful speed measurement point recognition to update the original speed measurement point recognition model.

[0132] The historical image data of successful recognition is uploaded to the server by the client or other clients before the client obtains the speed measurement point recognition model, and the server updates the original speed measurement point recognition model based on the historical image data to obtain the updated speed measurement point recognition model, so that when the client requests the speed measurement point recognition model, the server returns the latest speed measurement point recognition model to the client.

[0133] When the navigation client is started, the latest speed measurement point recognition model is downloaded from the server, and the latest speed measurement point recognition model is saved in the local.

[0134] When the server receives the recognition result data uploaded by the client, the speed measurement point recognition model is optimized and trained based on the image data of successful recognition in the recognition result data, so that when the client requests the speed measurement point recognition model from the server, the server returns the latest speed measurement point recognition model to the client.

[0135] By updating the speed measurement point recognition model based on the historical image data of successful recognition, the speed measurement point recognition model is continuously upgraded based on a large number of real images, and the recognition efficiency and accuracy are improved.

[0136] On the basis of the above technical solution, the speed measurement point set further comprises total state information of each speed measurement point in the plurality of speed measurement points, and the total state information is state information with a proportion greater than a proportion threshold in the same speed measurement point, and the total state information comprises enabled, not enabled or virtual point.

[0137] The method further comprises: when the vehicle drives to the speed measurement point with the total state information of enabled, voice broadcast is performed.

[0138] When the server receives data of the identification result of the same speed measurement point reaching a preset data amount (for example, 1000, and the greater the data amount, the lower the probability of error in the total result calculation), the state information in the identification result of the same speed measurement point can be totaled, and if a state information accounts for a proportion greater than a proportion threshold in all state information, the state information is taken as the total state information of the speed measurement point. The same state information can be enabled, disabled, or a false point. Similarly, the total state information includes enabled, disabled, or a false point. The proportion threshold is a higher proportion threshold, so that the credibility of the total state information determined is higher. The proportion threshold can be 90% or the like.

[0139] When the client starts navigation, in addition to including the identification strategy information of each speed measurement point on the driving route, the set of speed measurement points obtained from the server can also include the total state information of each speed measurement point, so that the vehicle performs voice broadcast prompts when driving to the speed measurement point with the total state information enabled, and does not perform voice broadcast prompts when driving to the speed measurement point with the total state information disabled or a false point. Therefore, only the enabled speed measurement points can be broadcasted and prompted, and the disabled or false points are not broadcasted and prompted, so that frequent voice broadcast can be avoided to distract the driver's attention and improve driving safety.

[0140] FIG. 3 is a structural schematic diagram of a speed measurement point recognition device provided by an embodiment of the present application. As shown in FIG. 3, the device includes:

[0141] The point information acquisition module 310 is configured to acquire, from a server, a set of speed measurement points corresponding to a driving route generated by navigation, and the set of speed measurement points includes identification strategy information of a plurality of speed measurement points on the driving route. The identification strategy information of each speed measurement point includes target position information, a speed measurement road section range, and a target radar wave band.

[0142] The first identification module 320 is configured to, when the vehicle reaches the speed measurement road section range of the speed measurement point according to the target position information, perform speed measurement point device recognition and flash effect recognition on the target image acquired by the camera through the speed measurement point recognition model, to obtain a speed measurement point device recognition result and a flash effect recognition result.

[0143] The second identification module 330 is configured to determine a radar wave band recognition result of the speed measurement point according to the speed measurement point device recognition result, radar wave band information sensed by the radar wave sensing device, and the target radar wave band.

[0144] The identification result determination module 340 is configured to take the speed measurement point device recognition result, the flash effect recognition result, and the radar wave band recognition result as the identification result data of the speed measurement point.

[0145] Optionally, the second identification module comprises:

[0146] The first position identification unit is configured to, when the identification success result of the speed measurement radar device is included in the speed measurement point site device identification result, identify first relative position information of the speed measurement radar device and the vehicle from the target image.

[0147] The radar sensing information acquisition unit is configured to acquire at least one radar wave band sensed by the radar wave sensing device and second relative position information corresponding to each radar wave band.

[0148] The comparison unit is configured to compare the at least one radar wave band with the target radar wave band respectively to obtain a first comparison result, and compare the second relative position information with the first relative position information to obtain a second comparison result.

[0149] The radar identification result determination unit is configured to determine the radar wave band identification result according to the first comparison result and the second comparison result.

[0150] Optionally, the radar identification result determination unit is specifically configured to:

[0151] For the radar wave band that is the same as the target radar wave band in the first comparison result, if the second comparison result of the distance between the first relative position information and the second relative position information of the radar wave band is less than or equal to the distance threshold, it is determined that the radar wave band identification result is successful.

[0152] If the distances in the second comparison result corresponding to the radar wave band are all greater than the distance threshold, it is determined that the radar wave band identification result is failed.

[0153] Optionally, the device further comprises:

[0154] The point site identification end module is configured to end the identification of the speed measurement point site when the speed measurement point site identification is completed or the vehicle drives out of the speed measurement road section range.

[0155] Optionally, the device further comprises:

[0156] The identification result uploading module is configured to send the identification result data of each speed measurement point site in the driving route to the server when the navigation is ended, and the identification result data is used as the basic data for the server to determine the enabling state of the speed measurement point site.

[0157] Optionally, the device further comprises:

[0158] The point site state determination module is configured to determine the state information of the speed measurement point site according to the speed measurement point site device identification result, the flash light effect identification result and the radar wave band identification result.

[0159] Optionally, the point site state determination module is specifically configured to:

[0160] In a case where the speed measurement point position device recognition result recognizes the speed measurement camera, the speed measurement flash light and the speed measurement radar device, if the flash light effect recognition result is recognition success and the radar wave band recognition result is recognition success, the state information is determined as enabled.

[0161] In a case where the speed measurement point position device recognition result recognizes the speed measurement camera, the speed measurement flash light and the speed measurement radar device, if at least one of the flash light effect recognition result and the radar wave band recognition result is recognition failure, the state information is determined as not enabled.

[0162] If at least one of the speed measurement camera, the speed measurement flash light and the speed measurement radar device is not recognized in the speed measurement point position device recognition result, the state information is determined as a false point position.

[0163] Optionally, the device further comprises:

[0164] The recognition module acquisition module is configured to acquire the speed measurement point position recognition model from the server, wherein the speed measurement point position recognition model is obtained by the server based on historical image data of successful speed measurement point position recognition to update an original speed measurement point position recognition model.

[0165] Optionally, the set of speed measurement point positions further comprises total state information of each speed measurement point position in the set of speed measurement point positions, wherein the total state information is state information with a proportion greater than a proportion threshold in the same speed measurement point position, and the total state information comprises enabled, not enabled or false point position.

[0166] The device further comprises:

[0167] The broadcast prompt module is configured to perform voice broadcast prompting when the vehicle travels to the speed measurement point position with the total state information as enabled.

[0168] Optionally, the flash light effect recognition result comprises flash light effect image and flash light effect image.

[0169] In a case where the flash light effect image comprises flash light on image, flash light unfolding image and flash light light pen image, the flash light effect recognition result is recognition success.

[0170] The device provided by the embodiment of the present application is used to implement each step of the speed measurement point position recognition method of the embodiment of the present application, and the specific implementation manners of each module of the device are described in the corresponding steps, which will not be repeated here.

[0171] The device for identifying speed measuring points on the way provided in the embodiments of the present application obtains a set of speed measuring points corresponding to a driving route generated by navigation from a server, the set of speed measuring points includes identification strategy information of a plurality of speed measuring points, when a speed measuring section range of a speed measuring point reached by a vehicle is determined according to target position information in the identification strategy information, speed measuring point device identification and flash effect identification are performed on a target image obtained by a camera through a speed measuring point identification model to obtain speed measuring point device identification results and flash effect identification results, a radar wave band identification result of the speed measuring point is determined according to the speed measuring point identification result, radar wave band information sensed by a radar sensing device, and a target radar wave band, the speed measuring point device identification result, the flash effect identification result, and the radar wave band identification result are taken as identification result data of the speed measuring point, which facilitates determination of whether the speed measuring point is in an enabled state based on the identification result data, the identification of the speed measuring point device is realized, and voice broadcast can be performed based on the determined state, voice broadcast can not be performed for a speed measuring point that is not enabled, the attention of a driver can be avoided from being dispersed, and driving safety can be improved.

[0172] FIG. 4 is a structural schematic diagram of an electronic device provided in the embodiments of the present application. As shown in FIG. 4, the electronic device 400 can include one or more processors 410 and one or more memories 420 connected with the processors 410. The electronic device 400 can further include an input interface 430 and an output interface 440 for communication with another device or system. Program codes executed by the processors 410 can be stored in the memories 420.

[0173] The processor 410 in the electronic device 400 invokes program codes stored in the memories 420 to execute the method for identifying speed measuring points on the way in the above embodiments.

[0174] The embodiments of the present application further provide a computer readable storage medium, which stores a computer program, and the program is executed by a processor to implement the steps of the method for identifying speed measuring points on the way according to the embodiments of the present application.

[0175] The embodiments of the present application further provide a computer program product, which is executed by a processor to implement the steps of the method for identifying speed measuring points on the way according to the embodiments of the present application.

[0176] The embodiments of the present application further provide a computer program, which includes program codes, and the program codes are executed by a computer to implement the steps of the method for identifying speed measuring points on the way according to the embodiments of the present application.

[0177] Each of the embodiments in the specification is described in a progressive manner, and each embodiment focuses on the difference from other embodiments. The same or similar parts between the embodiments can be referred to each other. For the device embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the part of the method embodiments.

[0178] The method, device, electronic device and storage medium provided by the embodiments of the present application are described in detail above. The principles and implementation manners of the present application are described by applying specific examples. The above embodiment descriptions are only used to help understand the method of the present application and its core idea. For those skilled in the art, according to the idea of the present application, the specific implementation manners and application ranges can be changed. In summary, the content of the specification should not be understood as a limitation of the present application.

[0179] From the above description of the embodiments, those skilled in the art can clearly understand that the embodiments can be realized by means of software and necessary universal hardware platforms. Of course, it can also be realized by hardware. Based on such understanding, the above technical solutions can be embodied in the form of software products, and the computer software products can be stored in a computer readable storage medium, such as ROM (Read-Only Memory), RAM (Random Access Memory), magnetic disk, optical disk, etc., including a plurality of instructions to make a computer device (which can be a personal computer, a server, or a network device, etc.) execute the methods of the embodiments or some parts of the embodiments.

[0180] The above is only a specific implementation manner of the present application, but the protection scope of the present application is not limited to this. Any changes or replacements within the technical scope disclosed by the present application can be easily thought by those skilled in the art, which should be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A method for identifying speed measurement points along a route, characterized by The method comprises: obtaining a set of speed measurement points corresponding to a driving route generated by navigation from a server, the set of speed measurement points comprising identification strategy information of a plurality of speed measurement points on the driving route, and the identification strategy information of each speed measurement point comprising target position information, speed measurement road section range and target radar wave band; when the vehicle reaches the speed measurement road section range of the speed measurement point according to the target position information, performing speed measurement point device identification and flash effect identification on a target image obtained by a camera through a speed measurement point identification model to obtain speed measurement point device identification results and flash effect identification results; determining a radar wave band identification result of the speed measurement point according to the speed measurement point device identification results, radar wave band information sensed by a radar wave sensing device and the target radar wave band; taking the speed measurement point device identification results, the flash effect identification results and the radar wave band identification result as identification result data of the speed measurement point.

2. The method of claim 1, wherein, The method further comprises: when the speed measurement radar device identification result is successful, identifying first relative position information between the speed measurement radar device and the vehicle from the target image; obtaining at least one radar wave band sensed by the radar wave sensing device and second relative position information corresponding to each radar wave band; comparing the at least one radar wave band with the target radar wave band respectively to obtain first comparison results, and comparing the second relative position information with the first relative position information to obtain second comparison results; determining the radar wave band identification result according to the first comparison results and the second comparison results.

3. The method of claim 2, wherein, The method further comprises: for the radar wave band identical to the target radar wave band in the first comparison results, if the second comparison results between the first relative position information and the second relative position information of the radar wave band have a distance less than or equal to a distance threshold, determining that the radar wave band identification result is successful; if the distances in the second comparison results corresponding to the radar wave band are all greater than the distance threshold, determining that the radar wave band identification result is unsuccessful.

4. The method of claim 1, wherein, The method further comprises: ending the identification of the speed measurement point when the identification of the speed measurement point is completed or the vehicle drives out of the speed measurement road section range.

5. The method of claim 1, wherein, The method further comprises: sending the identification result data of each speed measurement point in the driving route to the server when the navigation is completed, the identification result data being used as basic data for the server to determine the enabling state of the speed measurement point.

6. The method of claim 1, wherein, The method further comprises: determining state information of the speed measurement point according to the speed measurement point device identification results, the flash effect identification results and the radar wave band identification result.

7. The method of claim 6, wherein, The state information of the speed measurement point is determined according to the speed measurement point position device identification result, the flash effect identification result and the radar wave band identification result, and the state information of the speed measurement point includes: In the case that the speed measurement camera, the speed measurement flash and the speed measurement radar device are identified in the speed measurement point position device identification result, if the flash effect identification result is identification success and the radar wave band identification result is identification success, it is determined that the state information is enabled; In the case that the speed measurement camera, the speed measurement flash and the speed measurement radar device are identified in the speed measurement point position device identification result, if at least one of the flash effect identification result and the radar wave band identification result is identification failure, it is determined that the state information is not enabled; If at least one of the speed measurement camera, the speed measurement flash and the speed measurement radar device is not identified in the speed measurement point position device identification result, it is determined that the state information is a false point.

8. The method of claim 1, wherein, Before the speed measurement point position device identification and the flash effect identification of the target image obtained by the camera are performed through the speed measurement point identification model, the method further includes: The speed measurement point identification model is obtained from the server, and the speed measurement point identification model is obtained by updating the original speed measurement point identification model based on historical image data of successful speed measurement point identification.

9. The method of claim 1, wherein, The speed measurement point set further includes total state information of each speed measurement point in the plurality of speed measurement points, the total state information is state information with a proportion greater than a proportion threshold in the same speed measurement point, and the total state information includes enabled, not enabled or false point; The method further includes: When the vehicle travels to the speed measurement point with the total state information of enabled, voice broadcast prompt is performed.

10. The method of claim 1, wherein, The flash effect identification result includes flash effect identification result and flash effect image; When the flash effect image includes flash on image, flash expansion image and flash light pen image, the flash effect identification result is identification success.

11. A device for identifying speed measurement points along a route, characterized in that It includes: The point information acquisition module is configured to obtain, from a server, a speed measurement point set corresponding to a driving route generated by navigation, the speed measurement point set including identification strategy information of a plurality of speed measurement points on the driving route, and the identification strategy information of each speed measurement point including target position information, speed measurement road section range and target radar wave band. The first identification module is configured to determine, according to the target position information, that the vehicle reaches the speed measurement road section range of the speed measurement point, and perform speed measurement point position device identification and flash effect identification on a target image obtained by a camera through a speed measurement point identification model, to obtain speed measurement point position device identification result and flash effect identification result. The second identification module is configured to determine, according to the speed measurement point position device identification result, radar wave band information sensed by a radar wave sensing device and the target radar wave band, a radar wave band identification result of the speed measurement point. The identification result determination module is configured to take the speed measurement point position device identification result, the flash effect identification result and the radar wave band identification result as identification result data of the speed measurement point.

12. An electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, The processor implements the along-the-way speed measurement point position recognition method of any one of claims 1-10 when executing the computer program.

13. A computer readable storage medium having stored thereon a computer program, characterized in that The program is executed by the processor to implement the along-the-way speed measurement point position recognition method of any one of claims 1-10.

14. A computer program, characterized in that, The computer program product comprises program code, and when a computer runs the computer program, the program code executes the along-the-way speed measurement point position recognition method of any one of claims 1-10.

15. A computer program product, characterised in that, The computer program product is executed by the processor to implement the along-the-way speed measurement point position recognition method of any one of claims 1-10.

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