Vehicle detection method and related device
By detecting the front left and right front areas of the cockpit of the used car, if the abnormal item reaches the threshold, it is determined as a water truck, which solves the efficiency and accuracy of the detection of the water truck in the prior art, and improves the efficiency and accuracy of the detection .
Patent Information
- Application Number
- CN202411117261.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-08-14
- Publication Date
- 2024-12-13
AI Technical Summary
During the second-hand car transaction process, it is difficult for the existing technology to detect soaked water trucks efficiently and accurately, which poses safety risks.
By detecting the left front area and right front area of the cockpit of the target vehicle, the detection data is obtained and analyzed. If the number of abnormal detection items in the left front area and right front area reaches the preset threshold, the vehicle is determined to be a water soaker truck.
It realizes efficient and accurate detection of whether the vehicle is a water truck, avoids misjudgment, and improves detection efficiency and accuracy.
Smart Images
Figure CN119128742A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of vehicles, and in particular, to a vehicle detection method and related devices. Background Art
[0002] In the vehicle field, a used car refers to a motor vehicle that is registered with the relevant department, has been in service before reaching the relevant scrapping standards or within the economic and practical lifespan, and can still be used. With the surge in the volume of used car transactions, the identification of the condition of used cars has become particularly important in the process of used car transactions. However, in the relevant technology, there are still problems with the detection of water-damaged cars. In view of this, how to provide an efficient and accurate method for detecting water-damaged cars is an issue that needs to be solved urgently. Summary of the invention
[0003] The embodiments of the present application at least provide a vehicle detection method and related device, which can efficiently and accurately detect whether the vehicle is a water-damaged vehicle by respectively detecting the left front area and the right front area of the cockpit of the target vehicle, compared with detecting the entire area of the cockpit of the target vehicle.
[0004] In a first aspect, the present application provides a vehicle detection method, comprising:
[0005] Acquire left front detection data and right front detection data of the target vehicle; the left front detection data includes detection data corresponding to multiple detection items in the left front area of the cockpit of the target vehicle, and the right front detection data includes detection data corresponding to multiple detection items in the right front area of the cockpit of the target vehicle;
[0006] According to the left front detection data, determine the abnormal detection items in the left front area; according to the right front detection data, determine the abnormal detection items in the right front area; the abnormal detection items refer to the detection items with water ingress defects determined according to the detection data;
[0007] If the number of abnormal detection items in the left front area meets the first water soaking quantity threshold and the number of abnormal detection items in the right front area meets the second water soaking quantity threshold, it is determined that the target vehicle is a water soaked vehicle.
[0008] In a second aspect, the present application further provides a vehicle detection device, characterized in that the device comprises:
[0009] An acquisition unit, used to acquire left front detection data and right front detection data of the target vehicle; the left front detection data includes detection data corresponding to multiple detection items in the left front area of the cockpit of the target vehicle, and the right front detection data includes detection data corresponding to multiple detection items in the right front area of the cockpit of the target vehicle;
[0010] The first determination unit is used to determine an abnormal detection item in the left front area according to the left front detection data; and to determine an abnormal detection item in the right front area according to the right front detection data; the abnormal detection item refers to a detection item with water ingress defects determined according to the detection data;
[0011] The second determination unit is used to determine that the target vehicle is a water-damaged vehicle if the number of abnormal detection items in the left front area meets the first water-damaged number threshold and the number of abnormal detection items in the right front area meets the second water-damaged number threshold.
[0012] In a third aspect, the present application also provides an electronic device, comprising: a processor, a memory and a bus, wherein the memory stores machine-readable instructions executable by the processor, and when the electronic device is running, the processor and the memory communicate through the bus, and when the machine-readable instructions are executed by the processor, the vehicle detection method provided in the present application is executed.
[0013] In a fourth aspect, the present application further provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the vehicle detection method provided in the present application is executed.
[0014] In a fifth aspect, the present application also provides a computer program product, including a computer program, which executes the vehicle detection method provided in the present application when the computer program is run by a processor.
[0015] In summary, the present application provides a vehicle detection method and related devices, including: obtaining left front detection data and right front detection data of a target vehicle; the left front detection data includes detection data corresponding to multiple detection items in the left front area of the cockpit of the target vehicle, and the right front detection data includes detection data corresponding to multiple detection items in the right front area of the cockpit of the target vehicle; according to the left front detection data, determining the abnormal detection items in the left front area; according to the right front detection data, determining the abnormal detection items in the right front area; the abnormal detection items refer to the detection items with water ingress defects determined according to the detection data; if the number of abnormal detection items in the left front area meets the first water immersion number threshold and the number of abnormal detection items in the right front area meets the second water immersion number threshold, it means that both the left front area and the right front area of the target vehicle have water ingress defects, and the target vehicle is determined to be a water-soaked vehicle. Through the above method, by detecting the left front area and the right front area of the cockpit of the target vehicle respectively, compared with detecting the entire area of the cockpit of the target vehicle, it is possible to efficiently and accurately detect whether the vehicle is a water-soaked vehicle.
[0016] Other advantages of the present application will be explained in more detail in conjunction with the following description and drawings.
[0017] It should be understood that the above description is only an overview of the technical solution of the present application, so that the technical means of the present application can be generally understood and then implemented according to the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are specifically described below by way of example. BRIEF DESCRIPTION OF THE DRAWINGS
[0018] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following is a brief introduction to the drawings required for use in the embodiments. The drawings herein are incorporated into the specification and constitute a part of the specification. These drawings illustrate embodiments that conform to the present application and are used together with the specification to illustrate the technical solutions of the present application. It should be understood that the drawings only illustrate certain embodiments of the present application and should not be regarded as limiting the scope of protection. For ordinary technicians in this field, other relevant drawings can be obtained based on these drawings without creative work. Moreover, the same reference numerals are used to represent the same components throughout the drawings. In the drawings:
[0019] Figure 1 A method flow chart of a vehicle detection method provided in an embodiment of the present application;
[0020] Figure 2 A schematic diagram of four areas of a cockpit of a vehicle provided in an embodiment of the present application;
[0021] Figure 3 A schematic diagram of a vehicle detection device provided in an embodiment of the present application. DETAILED DESCRIPTION
[0022] The exemplary embodiments of the present application will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present application are shown in the accompanying drawings, it should be understood that the present application can be implemented in various forms and should not be limited by the embodiments described herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present application and to fully convey the scope of the present application to those skilled in the art.
[0023] In the description of the embodiments of the present application, it should be understood that terms such as "including" or "having" are intended to indicate the presence of disclosed features, numbers, steps, behaviors, components, parts, or a combination thereof in the present specification, and do not exclude the possibility of the presence of one or more other features, numbers, steps, behaviors, components, parts, or a combination thereof.
[0024] Unless otherwise specified, “ / ” means or. For example, A / B can mean A or B. The “and / or” in this article is merely a way to describe the association relationship of associated objects, indicating that three relationships can exist. For example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone.
[0025] The terms "first", "second", etc. are used only to distinguish the same or similar technical features for the convenience of description, and should not be understood as indicating or implying the relative importance or quantity of these technical features. Thus, the features defined by "first", "second", etc. may explicitly or implicitly include one or more of such features. In the description of the embodiments of the present application, unless otherwise specified, the term "plurality" means two or more than two.
[0026] With the surge in second-hand car transaction volume, the appraisal of the condition of second-hand cars has become particularly important in the second-hand car transaction process.
[0027] A flooded car refers to a car that has water in the cockpit due to water immersion, which affects the normal operation of the electrical components in the car and poses a safety hazard. Therefore, in order to ensure the safety of used cars, it is necessary to detect whether the car is a flooded car during the transaction of used cars. However, there are still problems in the detection of flooded cars in related technologies.
[0028] In view of this, the present application provides a vehicle detection method and related devices, which can efficiently and accurately detect whether a vehicle is a water-damaged vehicle by respectively detecting the left front area and the right front area of the target vehicle's cockpit, compared with detecting the entire area of the target vehicle's cockpit.
[0029] The vehicle detection method provided in the embodiment of the present application can be implemented by a computer device, which can be a terminal device or a server, wherein the server can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server providing cloud computing services. Terminal devices include but are not limited to mobile phones, computers, intelligent voice interaction devices, smart home appliances, vehicle-mounted terminals, aircraft, etc. The terminal device and the server can be directly or indirectly connected via wired or wireless communication, and this application does not limit this.
[0030] The vehicle detection method provided by the present application is described below through a method embodiment. Figure 1 As shown, Figure 1 A method flow chart of a vehicle detection method provided in an embodiment of the present application, wherein the aforementioned computer device may be a server, and the method includes:
[0031] S101. Acquire left front detection data and right front detection data of a target vehicle.
[0032] The target vehicle refers to a vehicle waiting to be detected whether it is a water-damaged vehicle. In the actual application of this application, the target vehicle is usually a second-hand car.
[0033] Since a flooded vehicle refers to a vehicle that has water intrusion into the cockpit due to water immersion, posing a safety hazard, in this application, the engine compartment and rear trunk of the target vehicle are not involved in the flooded vehicle detection.
[0034] In the present application, the server may obtain the left front detection data and the right front detection data of the target vehicle, and the left front detection data may include detection data corresponding to multiple detection items in the left front area of the cockpit of the target vehicle, such as Figure 1 As shown, Figure 1 The A area in the left front area refers to the left front area of the cockpit. The multiple detection items in the left front area refer to the items that can be used for detection in the left front area of the cockpit of the target vehicle, such as the left front carpet (including the surrounding trim / decoration), the steering column, the inner cavity of the left door sill, etc. The right front detection data may include the detection data corresponding to the multiple detection items in the right front area of the cockpit of the target vehicle, such as Figure 1 As shown, Figure 1 Area B refers to the right front area of the cockpit. The multiple inspection items in the right front area refer to the items that can be used for inspection in the right front area of the cockpit of the target vehicle, such as the air-conditioning vents of the dashboard, the right front carpet (including the surrounding trim / decoration), the dashboard frame, etc.
[0035] Compared with the related art of directly detecting the entire area of the vehicle's cockpit, the server does not directly obtain the detection data of the entire area of the target vehicle, but obtains the left front detection data and the right front detection data of the target vehicle, thereby reducing the detection amount and improving the detection efficiency.
[0036] S102. Determine abnormal detection items in the left front area based on the left front detection data; determine abnormal detection items in the right front area based on the right front detection data.
[0037] After obtaining the left front detection data and the right front detection data of the target vehicle in S101, the server can determine the abnormal detection items in the left front area based on the left front detection data. The abnormal detection items refer to the detection items with water ingress defects determined based on the detection data. For example, when the detection items in the left front area include the left front carpet, if the left front detection data indicates that the left front carpet has inner mildew, inner water marks, inner mud and sand, accumulated water, replacement, discoloration or water immersion repair, then the left front carpet can be determined as an abnormal detection item.
[0038] The server can determine the abnormal detection items in the right front area based on the right front detection data. For example, when the detection items in the right front area include the instrument panel air-conditioning vents, if the left front detection data indicates that there is mud or water immersion repair at the instrument panel air-conditioning outlet, then it can be determined that the instrument panel air-conditioning outlet is an abnormal detection item.
[0039] S103: If the number of abnormal detection items in the left front area meets the first water soaking quantity threshold and the number of abnormal detection items in the right front area meets the second water soaking quantity threshold, determine that the target vehicle is a water soaked vehicle.
[0040] The first water soaking quantity threshold may be the maximum number of abnormal detection items allowed in the left front area pre-set by the relevant detection personnel. For example, the first water soaking quantity threshold may be 3. The second water soaking quantity threshold may be the maximum number of abnormal detection items allowed in the right front area pre-set by the relevant detection personnel. For example, the second water soaking quantity threshold may be 3.
[0041] If the number of abnormal detection items in the left front area meets the first water soaking quantity threshold and the number of abnormal detection items in the right front area meets the second water soaking quantity threshold, it means that there are more abnormal detection items in both the left front area and the right front area of the target vehicle, and it can be determined that the target vehicle is a water soaked vehicle.
[0042] It should be noted that although the server failed to detect the entire area of the cockpit, the server detected two different side areas of the left front area and the right front area of the cockpit, thereby avoiding misjudgment of the vehicle when the target vehicle has water ingress defects only on the same side. That is to say, in this application, the left front area and the right front area of the cockpit are detected separately, which not only ensures the detection efficiency, but also ensures the detection accuracy.
[0043] In a possible implementation, the vehicle detection method further includes:
[0044] If the number of abnormal detection items in the left front area is zero and the number of abnormal detection items in the right front area is zero, it means that there is no sign of water ingress in the left front area and the right front area of the target vehicle. Therefore, in order to ensure detection efficiency, the server can determine that the target vehicle is not a water-damaged vehicle.
[0045] In a possible implementation, in order to perform equal degree of detection on both sides of the target vehicle, the first water soaking quantity threshold and the second water soaking quantity threshold may be the same, for example, the first water soaking quantity threshold and the second water soaking quantity threshold may both be 3.
[0046] In a possible implementation, the vehicle detection method further includes:
[0047] If the number of abnormal detection items in the left front area does not meet the first water soaking quantity threshold or the number of abnormal detection items in the right front area does not meet the second water soaking quantity threshold, it means that there are not many abnormal detection items in the left front area or the right front area of the target vehicle. Therefore, in order to further determine whether the target vehicle is a water soaked vehicle, the server can obtain the left rear detection data and the right rear detection data of the target vehicle. The left rear detection data may include detection data corresponding to multiple detection items in the left rear area of the cockpit of the target vehicle, such as Figure 1 As shown, Figure 1 The C area in the figure refers to the left rear area of the cockpit. The multiple detection items in the left rear area refer to the items that can be used for detection in the left rear area of the cockpit of the target vehicle, such as the left rear carpet (including the surrounding trim / decoration), the left rear seat belt socket, the left B-pillar interlayer and its surroundings, etc. The right rear detection data may include the detection data corresponding to the multiple detection items in the right rear area of the cockpit of the target vehicle, such as Figure 1 As shown, Figure 1 The D area refers to the right rear area of the cockpit. The multiple inspection items in the right rear area refer to the items that can be used for inspection in the right rear area of the cockpit of the target vehicle, such as the right rear carpet (including surrounding trim / decoration), the right rear seat belt socket, the right B-pillar interlayer and surrounding areas, etc.
[0048] Based on the left rear detection data, the server can determine the abnormal detection items in the left rear area. For example, when the detection items in the left rear area include the left rear seat belt socket, if the left rear detection data indicates that there is mud and sand in the left rear seat belt socket, then the left rear seat belt socket can be determined as an abnormal detection item; based on the right rear detection data, the server can determine the abnormal detection items in the right rear area. For example, when the detection items in the right rear area include the right B-pillar interlayer and its surroundings, if the right rear detection data indicates that there are water marks, mildew, mud and sand, accumulated water and water immersion repair in the right B-pillar interlayer and its surroundings, then the right B-pillar interlayer and its surroundings can be determined as abnormal detection items.
[0049] The third water soaking quantity threshold may be the maximum number of abnormal detection items allowed in the four areas of the cockpit pre-set by the relevant detection personnel, for example, the third water soaking quantity threshold may be 5; the fourth water soaking quantity threshold may be the maximum number of abnormal detection items allowed in the left area (left front area and left rear area) pre-set by the relevant detection personnel, for example, the second water soaking quantity threshold may be 2; the fifth water soaking quantity threshold may be the maximum number of abnormal detection items allowed in the right area (right front area and right rear area) pre-set by the relevant detection personnel, for example, the second water soaking quantity threshold may be 2.
[0050] If there are at least three abnormal areas including abnormal detection items in the four areas of the target vehicle's cockpit, the number of abnormal detection items in the four areas meets the third water soaking quantity threshold, the number of abnormal detection items in the left front area and the left rear area meets the fourth water soaking quantity threshold, and the number of abnormal detection items in the right front area and the right rear area meets the fifth water soaking quantity threshold, it means that at least three of the four areas of the cockpit have water ingress defects, the total number of abnormal detection items in the four areas is large, and the number of abnormal detection items in the left area and the right area are both large, and the server can determine that the target vehicle is a water-soaked vehicle.
[0051] It should be noted that, in this embodiment, after acquiring the detection data of the four areas of the cockpit, the server can accurately detect whether the target vehicle is a water-damaged vehicle according to the above detection steps.
[0052] In a possible implementation, in order to further improve the safety of used cars, the vehicle detection method further includes:
[0053] If there are not at least three abnormal areas in the four areas, the number of abnormal detection items in the four areas does not meet the third water quantity threshold, the number of abnormal detection items in the left front area and the left rear area does not meet the fourth water quantity threshold, or the number of abnormal detection items in the right front area and the right rear area does not meet the fifth water quantity threshold, then the server cannot determine that the target vehicle is a water-damaged vehicle. However, in order to further ensure the safety of the target vehicle, the server can determine whether the number of abnormal detection items in the four areas meets the water quantity threshold, and the water quantity threshold is less than the third water quantity threshold. The water quantity threshold can be the maximum number of the four areas of the cockpit set in advance by relevant inspection personnel to determine whether water has entered. For example, when the third water quantity threshold is 5, the water quantity threshold can be 2.
[0054] If the number of abnormal detection items in the four areas meets the water ingress threshold, it means that a certain number of detection items in the cockpit of the target vehicle show signs of water ingress. Therefore, the server can determine that the target vehicle is not a water-damaged vehicle and there are signs of water ingress, so as to remind relevant personnel that although the target vehicle is not a water-damaged vehicle, there are signs of water ingress.
[0055] In a possible implementation, in order to perform equal degree of detection on both sides of the target vehicle, the fourth water soaking quantity threshold and the fifth water soaking quantity threshold may be the same, for example, the fourth water soaking quantity threshold and the fifth water soaking quantity threshold may both be 2.
[0056] In a possible implementation, obtaining left front detection data and right front detection data of the target vehicle in S101 includes:
[0057] Determine the inner area and the outer area of the cockpit of the target vehicle based on the extension line of the outer side slide rail of the front seat of the target vehicle;
[0058] According to the outer area, the left front outer side detection data and the right front outer side detection data of the target vehicle are obtained;
[0059] According to the inner area, the left front inner detection data and the right front inner detection data of the target vehicle are obtained.
[0060] Specifically, in this embodiment, in order to facilitate the detection of relevant personnel and equipment, the server can, after determining the inner and outer areas of the cockpit of the target vehicle, first obtain the left front outer detection data and the right front outer detection data of the target vehicle based on the outer area, and then obtain the left front inner detection data and the right front inner detection data of the target vehicle based on the inner area, thereby realizing detection of the target vehicle from the outside to the inside.
[0061] In summary, the present application provides a vehicle detection method, including: obtaining left front detection data and right front detection data of a target vehicle; the left front detection data includes detection data corresponding to multiple detection items in the left front area of the cockpit of the target vehicle, and the right front detection data includes detection data corresponding to multiple detection items in the right front area of the cockpit of the target vehicle; according to the left front detection data, determining the abnormal detection items in the left front area; according to the right front detection data, determining the abnormal detection items in the right front area; the abnormal detection items refer to the detection items with water ingress defects determined according to the detection data; if the number of abnormal detection items in the left front area meets the first water soaking number threshold and the number of abnormal detection items in the right front area meets the second water soaking number threshold, it means that both the left front area and the right front area of the target vehicle have water ingress defects, and the target vehicle is determined to be a water soaked vehicle. Through the above method, by detecting the left front area and the right front area of the cockpit of the target vehicle respectively, compared with detecting the entire area of the cockpit of the target vehicle, it is possible to efficiently and accurately detect whether the vehicle is a water soaked vehicle.
[0062] In the description of this specification, the description with reference to the terms "some possible embodiments", "some embodiments", "examples", "specific examples", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application, and the above terms do not necessarily represent the same embodiment or example. Moreover, the described specific features, structures, materials or characteristics may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, unless they are contradictory.
[0063] About the method flow chart of the present application embodiment, some operations are described as different steps performed in a certain order. Such flow chart belongs to illustrative and non-restrictive. Some steps described in this article can be grouped together and performed in a single operation, or some steps can be divided into multiple sub-steps and can be performed in an order different from that shown in this article. Each step shown in the flow chart can be realized in any way by any circuit structure and / or tangible mechanism (for example, by software, hardware (for example, the logical function realized by processor or chip) etc. running on computer equipment and / or any combination thereof).
[0064] Those skilled in the art will appreciate that, in the method described in the above specific implementation, the writing order of each step does not mean a strict execution order, and the specific execution order of each step should be determined by its function and possible internal logic.
[0065] Based on the aforementioned Figure 1 and Figure 2 The following is an explanation of a vehicle detection device provided by the present application through a device embodiment. Figure 3 As shown, the vehicle detection device 300 includes:
[0066] An acquisition unit 301 is used to acquire left front detection data and right front detection data of a target vehicle; the left front detection data includes detection data corresponding to a plurality of detection items in a left front area of a cockpit of the target vehicle, and the right front detection data includes detection data corresponding to a plurality of detection items in a right front area of a cockpit of the target vehicle;
[0067] The first determination unit 302 is used to determine an abnormal detection item in the left front area according to the left front detection data; determine an abnormal detection item in the right front area according to the right front detection data; the abnormal detection item refers to a detection item with water ingress defects determined according to the detection data;
[0068] The second determination unit 303 is configured to determine that the target vehicle is a water-damaged vehicle if the number of abnormal detection items in the left front area meets a first water-damaged number threshold and the number of abnormal detection items in the right front area meets a second water-damaged number threshold.
[0069] In a possible implementation, the acquiring unit 301 is further configured to:
[0070] If the number of abnormal detection items in the left front area does not meet the first water soaking quantity threshold or the number of abnormal detection items in the right front area does not meet the second water soaking quantity threshold, obtain left rear detection data and right rear detection data of the target vehicle; the left rear detection data includes detection data corresponding to multiple detection items in the left rear area of the cockpit of the target vehicle, and the right rear detection data includes detection data corresponding to multiple detection items in the right rear area of the cockpit of the target vehicle;
[0071] Determine the abnormal detection items in the left rear area according to the left rear detection data; determine the abnormal detection items in the right rear area according to the right rear detection data;
[0072] If there are at least three abnormal areas including abnormal detection items in the four areas of the target vehicle's cockpit, the number of abnormal detection items in the four areas meets the third water soaking quantity threshold, the number of abnormal detection items in the left front area and the left rear area meets the fourth water soaking quantity threshold, and the number of abnormal detection items in the right front area and the right rear area meets the fifth water soaking quantity threshold, the target vehicle is determined to be a water soaked vehicle.
[0073] In a possible implementation, the vehicle detection device 300 further includes a judgment unit, which is used to:
[0074] If there are not at least three abnormal areas in the four areas, the number of abnormal detection items in the four areas does not meet the third water soaking quantity threshold, the number of abnormal detection items in the left front area and the left rear area does not meet the fourth water soaking quantity threshold, or the number of abnormal detection items in the right front area and the right rear area does not meet the fifth water soaking quantity threshold, it is determined whether the number of abnormal detection items in the four areas meets the water ingress quantity threshold, and the water ingress quantity threshold is less than the third water soaking quantity threshold;
[0075] If the number of abnormal detection items in the four areas meets the water ingress threshold, it is determined that the target vehicle is not a water-damaged vehicle and there are signs of water ingress.
[0076] In a possible implementation, the fourth soaking quantity threshold and the fifth soaking quantity threshold are the same.
[0077] In a possible implementation manner, the second determining unit 303 is further configured to:
[0078] If the number of abnormal detection items in the left front area is zero and the number of abnormal detection items in the right front area is zero, it is determined that the target vehicle is not a water-damaged vehicle.
[0079] In a possible implementation, the first water soaking quantity threshold and the second water soaking quantity threshold are the same.
[0080] In a possible implementation, the acquiring unit 301 is used to:
[0081] Determine the inner area and the outer area of the cockpit of the target vehicle based on the extension line of the outer side slide rail of the front seat of the target vehicle;
[0082] According to the outer area, the left front outer side detection data and the right front outer side detection data of the target vehicle are obtained;
[0083] According to the inner area, the left front inner detection data and the right front inner detection data of the target vehicle are obtained.
[0084] It should be noted that the device in the implementation mode of the present application can implement each process of the implementation mode of the aforementioned method and achieve the same effects and functions, which will not be repeated here.
[0085] The embodiment of the present application also provides an electronic device, including: a processor, a memory and a bus. The memory stores machine-readable instructions executable by the processor. When the electronic device is running, the processor and the memory communicate through the bus. When the machine-readable instructions are executed by the processor, the following processing is performed:
[0086] Acquire left front detection data and right front detection data of the target vehicle; the left front detection data includes detection data corresponding to multiple detection items in the left front area of the cockpit of the target vehicle, and the right front detection data includes detection data corresponding to multiple detection items in the right front area of the cockpit of the target vehicle;
[0087] According to the left front detection data, determine the abnormal detection items in the left front area; according to the right front detection data, determine the abnormal detection items in the right front area; the abnormal detection items refer to the detection items with water ingress defects determined according to the detection data;
[0088] If the number of abnormal detection items in the left front area meets the first water soaking quantity threshold and the number of abnormal detection items in the right front area meets the second water soaking quantity threshold, it is determined that the target vehicle is a water soaked vehicle.
[0089] The present application also provides a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a processor, the steps of the vehicle detection method described in the above method embodiment are executed. The storage medium can be a volatile or non-volatile computer-readable storage medium.
[0090] An embodiment of the present application also provides a computer program product, including a computer program. The computer program product carries a program code. The instructions included in the program code can be used to execute the steps of the vehicle detection method described in the above method embodiment. For details, please refer to the above method embodiment, which will not be repeated here.
[0091] The computer program product may be implemented in hardware, software or a combination thereof. In one optional embodiment, the computer program product is implemented as a computer storage medium. In another optional embodiment, the computer program product is implemented as a software product, such as a software development kit (SDK).
[0092] Each embodiment in this application is described in a progressive manner, and the same or similar parts between the various embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device, equipment, and computer-readable storage medium embodiments, since they are basically similar to the method embodiments, their descriptions are simplified, and the relevant parts can be referred to the partial description of the method embodiments.
[0093] The apparatus, equipment and computer-readable storage medium provided in the embodiments of the present application correspond one-to-one to the method. Therefore, the apparatus, equipment and computer-readable storage medium also have similar beneficial technical effects as the corresponding methods. Since the beneficial technical effects of the methods have been described in detail above, the beneficial technical effects of the apparatus, equipment and computer-readable storage medium will not be repeated here.
[0094] Although the spirit and principle of the present application have been described above with reference to several specific embodiments, it should be understood that the present application is not limited to the disclosed specific embodiments, and the division of various aspects does not mean that the features in these aspects cannot be combined. The present application is intended to cover various modifications and equivalent arrangements included in the spirit and scope of the attached claims.
Claims
1. A vehicle detection method, characterized in that: The method comprises: Acquire left front detection data and right front detection data of the target vehicle; the left front detection data includes detection data corresponding to multiple detection items in the left front area of the cockpit of the target vehicle, and the right front detection data includes detection data corresponding to multiple detection items in the right front area of the cockpit of the target vehicle; According to the left front detection data, determining abnormal detection items in the left front area; according to the right front detection data, determining abnormal detection items in the right front area; the abnormal detection items refer to detection items with water ingress defects determined according to the detection data; If the number of abnormal detection items in the left front area meets a first water soaking quantity threshold and the number of abnormal detection items in the right front area meets a second water soaking quantity threshold, it is determined that the target vehicle is a water soaked vehicle.
2. The method according to claim 1, characterized in that The method further comprises: If the number of abnormal detection items in the left front area does not meet the first water soaking number threshold or the number of abnormal detection items in the right front area does not meet the second water soaking number threshold, acquiring left rear detection data and right rear detection data of the target vehicle; the left rear detection data includes detection data corresponding to a plurality of detection items in the left rear area of the cockpit of the target vehicle, and the right rear detection data includes detection data corresponding to a plurality of detection items in the right rear area of the cockpit of the target vehicle; Determine an abnormal detection item in the left rear area according to the left rear detection data; determine an abnormal detection item in the right rear area according to the right rear detection data; If there are at least three abnormal areas including abnormal detection items in the four areas of the cockpit of the target vehicle, the number of abnormal detection items in the four areas meets the third water flooding quantity threshold, the number of abnormal detection items in the left front area and the left rear area meets the fourth water flooding quantity threshold, and the number of abnormal detection items in the right front area and the right rear area meets the fifth water flooding quantity threshold, the target vehicle is determined to be a water-damaged vehicle.
3. The method according to claim 2, characterized in that The method further comprises: If there are no at least three abnormal areas in the four areas, the number of abnormal detection items in the four areas does not meet the third water soaking number threshold, the number of abnormal detection items in the left front area and the left rear area does not meet the fourth water soaking number threshold, or the number of abnormal detection items in the right front area and the right rear area does not meet the fifth water soaking number threshold, it is determined whether the number of abnormal detection items in the four areas meets the water ingress number threshold, and the water ingress number threshold is less than the third water soaking number threshold; If the number of abnormal detection items in the four areas meets the water ingress threshold, it is determined that the target vehicle is not a water-damaged vehicle and there are signs of water ingress.
4. The method according to claim 2, characterized in that: The fourth water soaking quantity threshold value is the same as the fifth water soaking quantity threshold value.
5. The method according to claim 1, characterized in that The method further comprises: If the number of abnormal detection items in the left front area is zero and the number of abnormal detection items in the right front area is zero, it is determined that the target vehicle is not a water-damaged vehicle.
6. The method according to claim 1, characterized in that The first water soaking quantity threshold and the second water soaking quantity threshold are the same.
7. The method according to claim 1, characterized in that The obtaining of left front detection data and right front detection data of the target vehicle includes: Determining an inner area and an outer area of a cockpit of the target vehicle based on an extension line of an outer side slide rail of a front seat of the target vehicle; According to the outer area, acquiring left front outer side detection data and right front outer side detection data of the target vehicle; According to the inner area, the left front inner detection data and the right front inner detection data of the target vehicle are acquired.
8. A vehicle detection device, characterized in that: The device comprises: An acquisition unit, used to acquire left front detection data and right front detection data of a target vehicle; the left front detection data includes detection data corresponding to a plurality of detection items in a left front area of a cockpit of the target vehicle, and the right front detection data includes detection data corresponding to a plurality of detection items in a right front area of a cockpit of the target vehicle; a first determining unit, configured to determine an abnormal detection item in the left front area according to the left front detection data; and determine an abnormal detection item in the right front area according to the right front detection data; the abnormal detection item refers to a detection item with a water ingress defect determined according to the detection data; The second determination unit is used to determine that the target vehicle is a water-damaged vehicle if the number of abnormal detection items in the left front area meets a first water-damaged number threshold and the number of abnormal detection items in the right front area meets a second water-damaged number threshold.
9. An electronic device, characterized in that: include: A processor, a memory and a bus, wherein the memory stores machine-readable instructions executable by the processor, and when the electronic device is running, the processor and the memory communicate via the bus, and when the machine-readable instructions are executed by the processor, the vehicle detection method as described in any one of claims 1 to 7 is executed.
10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the vehicle detection method according to any one of claims 1 to 7 is executed.
11. A computer program product, characterized in that The invention comprises a computer program, which executes the vehicle detection method according to any one of claims 1 to 7 when the computer program is executed by a processor.