Vehicle lamp language interaction method and device, medium and vehicle

Abstract

The invention relates to a vehicle lamp language interaction method and device, a medium and a vehicle. The method comprises the steps that the vehicle obtains a lamp language matching relation; wherein the lamp language matching relation is used for representing the relation between the vehicle lamp prompting effect and the driving road condition; when the vehicle is the front vehicle, acquiring a first driving road condition in front, and triggering a vehicle lamp to give out a first vehicle lamp prompt effect matched with the first driving road condition according to the lamp and language matching relationship; or, when the vehicle is the rear vehicle, acquiring a vehicle lamp image shot for the front vehicle, and determining a second driving road condition matched with a second vehicle lamp prompt effect contained in the vehicle lamp image according to the lamp language matching relationship; and controlling the driving behavior of the vehicle according to the second driving road condition. According to the invention, more accurate information interaction can be carried out based on the lamp language matching relationship, the lamp language interaction effect between vehicles is improved, a driver can be helped to accurately make a driving behavior, and the driving safety is improved.

Description

Technical Field

[0001] The present disclosure relates to the technical field of vehicles, and in particular, to a vehicle light language interaction method, apparatus, medium, and vehicle. Background Art

[0002] When a vehicle is traveling on a road, the driver of the vehicle usually controls the vehicle's headlights to interact with other vehicle drivers. For example, if the vehicle in front is a large vehicle, it will block the line of sight of the vehicle behind. The vehicle in front will use light signals to inform the vehicle behind of the road conditions ahead and information such as whether it is possible to overtake. However, many vehicle drivers cannot accurately understand the light signals of the other vehicle, resulting in the vehicle driver not being able to obtain the road conditions ahead, and thus unable to make accurate driving behaviors, which even threatens driving safety and results in low safety of vehicle driving. Summary of the Invention

[0003] To solve the above technical problems, the present disclosure provides a vehicle light language interaction method, apparatus, medium, and vehicle.

[0004] According to one aspect of the present disclosure, there is provided a vehicle light language interaction method, which is applied to a vehicle; the method includes:

[0005] Obtain a light language matching relationship; wherein, the light language matching relationship is used to represent the relationship between the headlight prompt effect and the driving road conditions;

[0006] When the vehicle itself is the vehicle in front, obtain the first driving road conditions ahead, and trigger the headlights to emit a first headlight prompt effect matching the first driving road conditions according to the light language matching relationship;

[0007] When the vehicle itself is the vehicle behind, obtain a headlight image of the vehicle in front, and determine the second driving road conditions matching the second headlight prompt effect included in the headlight image according to the light language matching relationship; and,

[0008] Control the driving behavior of the vehicle according to the second driving road conditions.

[0009] According to another aspect of the present disclosure, there is also provided a vehicle light language interaction apparatus, which is applied to a vehicle; the apparatus includes:

[0010] A relationship acquisition module, configured to obtain a light language matching relationship; wherein, the light language matching relationship is used to represent the relationship between the headlight prompt effect and the driving road conditions;

[0011] A first light language interaction module, configured to, when the vehicle itself is the vehicle in front, obtain the first driving road conditions ahead, and trigger the headlights to emit a first headlight prompt effect matching the first driving road conditions according to the light language matching relationship;

[0012] A second vehicle light language interaction module, configured to, when the vehicle itself is a following vehicle, obtain a vehicle light image captured of the vehicle ahead, and determine a second driving condition that matches a second vehicle light prompt effect included in the vehicle light image according to the vehicle light language matching relationship; and,

[0013] A vehicle control module, configured to control the driving behavior of the vehicle according to the second driving condition.

[0014] According to another aspect of the present disclosure, there is also provided an electronic device, which includes:

[0015] A processor;

[0016] A memory for storing executable instructions of the processor;

[0017] The processor is configured to read the executable instructions from the memory and execute the instructions to implement the above method.

[0018] According to another aspect of the present disclosure, there is also provided a computer-readable storage medium, which stores a computer program for executing the above method.

[0019] According to another aspect of the present disclosure, there is also provided a vehicle, which includes the above vehicle light language interaction device.

[0020] The technical solution provided by the embodiment of the present disclosure has the following advantages compared with the prior art:

[0021] The technical solution provided by the embodiment of the present disclosure includes: the vehicle obtains a vehicle light language matching relationship; wherein, the vehicle light language matching relationship is used to represent the relationship between the vehicle light prompt effect and the driving condition; when the vehicle itself is a leading vehicle, obtain the first driving condition ahead, and trigger the vehicle lights to emit a first vehicle light prompt effect that matches the first driving condition according to the vehicle light language matching relationship; when the vehicle itself is a following vehicle, obtain a vehicle light image captured of the vehicle ahead, and determine a second driving condition that matches a second vehicle light prompt effect included in the vehicle light image according to the vehicle light language matching relationship; and, control the driving behavior of the vehicle according to the second driving condition.

[0022] In this technical solution, by obtaining a unified light signal matching relationship, the vehicle can standardize chaotic light signal combinations, improving the standardization of light signal interaction. Whether the vehicle is a leading vehicle or a following vehicle, it can perform more accurate information interaction based on the light signal matching relationship. Among them, for the leading vehicle, triggering the vehicle lights to emit a first vehicle light prompt effect matching the first driving condition according to the light signal matching relationship can achieve the active triggering of light signal interaction and automatically stimulate the vehicle lights to emit the first vehicle light prompt effect. For the following vehicle, when the light signals transmitted by the leading vehicle are unclear, it can accurately identify the second driving condition using the light signal matching relationship and control the driving behavior of the vehicle. The above solution is particularly important for following vehicles with blocked vision. Using the light signal matching relationship to identify the driving condition expressed by the vehicle light prompt effect and making corresponding driving behaviors is very important for safe driving. Therefore, based on the light signal matching relationship, this solution can improve the interaction effect of light signals between vehicles, and thus is conducive to helping drivers accurately make driving behaviors and improving driving safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] The accompanying drawings herein are incorporated into the specification and form a part of the specification, showing embodiments consistent with the present disclosure and, together with the specification, are used to explain the principles of the present disclosure.

[0024] To more clearly illustrate the technical solutions in the embodiments of the present disclosure or in the prior art, the following will briefly introduce the accompanying drawings required for use in the description of the embodiments or the prior art. Obviously, for those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0025] Figure 1 It is a flowchart of a vehicle light signal interaction method according to an embodiment of the present disclosure;

[0026] Figure 2 It is a flowchart of another vehicle light signal interaction method according to an embodiment of the present disclosure;

[0027] Figure 3 It is a flowchart of another vehicle light signal interaction method according to an embodiment of the present disclosure;

[0028] Figure 4 It is a schematic structural diagram of a vehicle light signal interaction device according to an embodiment of the present disclosure;

[0029] Figure 5 It is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0030] To better understand the above objects, features, and advantages of the present disclosure, the solutions of the present disclosure will be further described below. It should be noted that, without conflict, the embodiments of the present disclosure and the features in the embodiments may be combined with each other.

[0031] In the following description, many specific details are set forth to facilitate a thorough understanding of the present disclosure, but the present disclosure may also be implemented in other ways different from those described herein; obviously, the embodiments in the specification are only a part of the embodiments of the present disclosure, rather than all of the embodiments.

[0032] Considering that it is difficult for a driver to accurately understand the light language expressed by vehicle lights when performing information interaction through vehicle lights. Based on this, the embodiments of the present disclosure provide a vehicle light language interaction method, device, medium, and vehicle. This solution can trigger a vehicle light prompt effect matching the driving conditions for the vehicle ahead, and can recognize the driving conditions expressed by the vehicle light prompt effect for the vehicle behind, improving the interaction effect of the light language. For ease of understanding, the embodiments of the present disclosure are described in detail below.

[0033] Figure 1 FIG. 10 is a flowchart of a vehicle light language interaction method provided by an embodiment of the present disclosure. This method can be applied to the scenario of information interaction between front and rear vehicles driving on the road through light language. The vehicle light language interaction method can be executed by a vehicle light language interaction device configured on the vehicle. The device can be implemented by software and / or hardware. Specifically, for example, electronic devices such as a body processor, in-vehicle host, tablet computer, desktop computer, laptop computer, and smart phone in the vehicle that have communication functions and data processing capabilities. In this embodiment, taking the body processor in the vehicle as the execution subject as an example, the vehicle light language interaction method is described in detail.

[0034] Referring to Figure 1 , the vehicle light language interaction method provided by this embodiment is applied to a vehicle, and the vehicle is connected to a cloud server; the method may include the following steps S102-S106.

[0035] S102, obtain a light language matching relationship; wherein, the light language matching relationship is used to represent the relationship between the vehicle light prompt effect and the driving conditions.

[0036] In this embodiment, a light signal matching relationship may be pre-installed in the vehicle, or the vehicle may obtain the light signal matching relationship established and sent by the server in advance. The above light signal matching relationship is used to represent the relationship between the headlight prompt effect and the driving road conditions, or rather, this light signal matching relationship is used to express the driving road conditions by means of the headlight prompt effect. Considering the headlight configurations of different vehicles and the headlight usage habits of different drivers, the same driving road condition can be expressed by at least one headlight prompt effect. Therefore, in the light signal matching relationship, the same driving road condition can be matched with at least one headlight prompt effect. At the same time, different driving road conditions correspond to different headlight prompt effects to avoid confusion and errors in light signal recognition.

[0037] In the embodiment where the vehicle obtains the light signal matching relationship established and sent by the server in advance, the cloud server can first establish the light signal matching relationship; then send the light signal matching relationship to the vehicle so that the vehicle can execute the following step S104 and / or step S106 according to the light signal matching relationship.

[0038] Among them, the server can pre-establish the matching relationship between the headlight prompt effect and the driving road conditions to generate the light signal matching relationship. The light signal matching relationship can be, for example, as shown in Table 1 below.

[0039] Table 1

[0040] Headlight prompt effect Driving road conditions Left turn signal blinks rapidly There are risks on the road ahead. Lane changes, overtaking, etc. are not recommended Left and right turn signals blink alternately There is an accident ahead. Overtaking, etc. are not recommended Left and right turn signals stay on There are oncoming vehicles ahead. Drive carefully

[0041] This embodiment can unify and fix the chaotic light signal combinations by establishing the light signal matching relationship.

[0042] The cloud server can send the light signal matching relationship to multiple vehicles connected to it. For multiple vehicles driving on the road, they can be divided into the vehicle in front and the vehicle behind according to the front-rear position. And it can be understood that the vehicle in front and the vehicle behind are relative concepts used to represent the vehicles driving in front and behind on the road; usually, the same vehicle can be both the vehicle in front and the vehicle behind at the same time. Based on this, when the vehicle is driving on the road, according to the light signal matching relationship, it can be used as the vehicle in front to trigger the headlights to emit the first headlight prompt effect matching the first driving road condition to give a reminder to the vehicle behind; and / or, it can also be used as the vehicle behind to recognize the second driving road condition expressed by the second headlight prompt effect emitted by the vehicle in front.

[0043] In addition, considering the complexity of the combination of lighting signals and driving road conditions in this embodiment, as well as the different driving habits of different drivers, it may lead to the situation that the driving road conditions and the lighting prompt effects in the real scenario do not exist in the existing lighting signal matching relationships in the cloud server. Facing these newly emerged driving road conditions and lighting prompt effects, in order to ensure that the vehicle (especially the vehicle behind) can correctly recognize the driving road conditions expressed by the lighting prompt effects, this embodiment can update the new lighting signal matching relationship on the basis of the existing lighting signal matching relationship. Based on this, the method for establishing the lighting signal matching relationship in this embodiment may include:

[0044] First, obtain the second driving road condition recognized by the first vehicle for the road ahead and the third lighting prompt effect emitted by the first vehicle.

[0045] Specifically, the first vehicle can collect the road information ahead through devices such as cameras and radars, and perform road condition recognition according to the road information ahead to obtain the second driving road condition.

[0046] The first vehicle collects the execution actions of its own lighting components, and determines the third lighting prompt effect through the execution actions of the lighting components. Exemplarily, the execution action is to perform a flashing action on the right rear turn signal at a preset frequency, and the corresponding determined third lighting prompt effect is that the right rear turn signal flashes frequently.

[0047] In order to improve the correlation and consistency between the second driving road condition and the third lighting prompt effect, the first vehicle can also collect the recognition time corresponding to the second driving road condition and the first positioning information, and collect the execution time of the execution action corresponding to the third lighting prompt effect and the second positioning information. Then, from the time dimension, use the recognition time and the execution time to determine the corresponding second driving road condition and the third lighting prompt effect; and / or, from the geographical dimension, use the first positioning information and the second positioning information to determine the corresponding second driving road condition and the third lighting prompt effect. Through the above embodiments, it can be ensured that the second driving road condition and the third lighting prompt effect are data for the same road section at the same time, which also guarantees that the third lighting prompt effect is the lighting signal used to express the second driving road condition.

[0048] The first vehicle sends its second driving road condition and the third lighting prompt effect to the cloud server, and the cloud server can then obtain these two pieces of data, namely the driving road condition and the lighting prompt effect, that can be used to establish the lighting signal matching relationship.

[0049] Next, determine whether the second driving road condition and the third lighting prompt effect satisfy the existing lighting signal matching relationship.

[0050] The cloud server can first determine whether the second driving road condition and the third lighting prompt effect satisfy the existing lighting signal matching relationship, that is, determine whether the second driving road condition and the third lighting prompt effect belong to the existing lighting signal matching relationship.

[0051] In an exemplary determination method, it is possible to determine whether there is a second driving road condition in the existing light signal matching relationship. If there is no second driving road condition, it is easy to understand that the second driving road condition is a new road condition that has not appeared in the existing light signal matching relationship. Then, the second driving road condition and the third vehicle light prompt effect will surely not satisfy the existing light signal matching relationship, or rather, it is a new light signal matching relationship. In this case, this embodiment can establish a new light signal matching relationship between the second driving road condition and the third vehicle light prompt effect.

[0052] If there is a second driving road condition in the existing light signal matching relationship, then continue to determine whether the vehicle light prompt effect matching the second driving road condition is the third vehicle light prompt effect in the candidate light signal matching relationship where the second driving road condition exists. If so, it means that the second driving road condition and the third vehicle light prompt effect are the existing light signal matching relationship and no further processing is required.

[0053] Conversely, if not, that is, in the candidate light signal matching relationship, the vehicle light prompt effect matching the second driving road condition is not the third vehicle light prompt effect corresponding to it in the real scenario. There are various reasons for this, such as: different habits of drivers operating vehicle lights, the vehicle light components not supporting the emission of the vehicle light prompt effect in the candidate light signal matching relationship, etc. In this case, this embodiment can establish a new light signal matching relationship between the second driving road condition and the third vehicle light prompt effect.

[0054] Through the above embodiments to update the light signal matching relationship, it is possible to ensure a more accurate matching relationship between the vehicle light prompt effect and the driving road condition in some special scenarios.

[0055] For the above new light signal matching relationship, the server needs to promptly send it to the vehicles driving on the road, mainly the second vehicle behind the first vehicle, to ensure that the second vehicle can accurately recognize the third vehicle light prompt effect emitted by the first vehicle. Correspondingly, this embodiment can include:

[0056] The server sends the new light signal matching relationship to the first vehicle and multiple second vehicles within a preset distance range (such as 150 meters) behind the first vehicle, so that the first vehicle and the second vehicles update the light signal matching relationship.

[0057] For the first vehicle ahead, the new light signal matching relationship conforms to the structure of the vehicle light components and the driving habits of the driver in the real scenario. When encountering the same road condition subsequently, it can use the new light signal matching relationship to quickly trigger the third vehicle light prompt effect. For the second vehicle behind, by updating the light signal matching relationship, even in the face of the newly emerging third vehicle light prompt effect, it can still quickly and accurately recognize the second driving road condition it expresses.

[0058] Through the above embodiments, the vehicle can obtain the light language matching relationship sent by the cloud server. The light language matching relationship can include pre-set, unified and standardized light language matching relationships, as well as new light language matching relationships updated for the current real scene, thereby ensuring that the light language matching relationship used by the vehicle is the latest and most accurate.

[0059] S104, when the vehicle itself is the vehicle in front, obtain a first driving road condition in front, and trigger the headlights to emit a first headlight prompt effect that matches the first driving road condition according to the light language matching relationship.

[0060] In a scenario where the vehicle is the leading vehicle, the vehicle can use radar, cameras, body processors, and other devices to identify a first driving condition of the road ahead of the vehicle and send the first driving condition to a cloud server. Furthermore, if the first driving condition is abnormal (such as congestion, a traffic accident, wrong-way driving, etc.), the vehicle can emit a first headlight warning effect to the vehicle behind it. The light language expressed by the first headlight warning effect informs the vehicle behind it of the road condition ahead, so as to remind the vehicle behind it to drive carefully.

[0061] In one embodiment, the vehicle serving as the leading vehicle may include the following contents when triggering the headlights to emit a first headlight prompt effect that matches the first driving road condition according to the light language matching relationship.

[0062] (1) Obtaining at least one candidate vehicle light prompt effect that matches the first driving condition based on the light language matching relationship. In the light language matching relationship, each driving condition may be matched with at least one vehicle light prompt effect. Based on this, this embodiment can obtain at least one candidate vehicle light prompt effect that matches the first driving condition based on the light language matching relationship.

[0063] (2) Determining whether a headlight prompt condition is satisfied; wherein the headlight prompt condition includes: receiving a user's selection operation for a candidate headlight prompt effect, and / or recognizing that the first driving road condition does not satisfy the driving intention of the rear vehicle.

[0064] To prevent false triggering of headlight prompt effects, this embodiment provides headlight prompt conditions. Within these conditions, upon receiving a user's selection of a candidate headlight prompt effect, multiple selection controls may be displayed on the display screen of the vehicle (currently the vehicle ahead). These selection controls may include controls for each candidate headlight prompt effect and controls for other actions. For example, if a headlight is damaged, preventing the vehicle's headlight assembly from achieving any of the candidate headlight prompt effects, controls for other actions provide the user with more flexible headlight operation.

[0065] The above-mentioned multiple selection controls are displayed on the vehicle's display screen, and the user can perform a selection operation on the selection controls. By listening to the user's selection operation on the selection controls, in response to the detected selection operation on the selection controls, the selection operation of the user on the candidate vehicle light prompt effects is received. In this embodiment, the user actively makes a selection on the candidate vehicle light prompt effects, and the initiative of the user indicates the necessity of sending the first vehicle light prompt effect to the following vehicle for road condition reminder. Therefore, the received selection operation of the user on the candidate vehicle light prompt effects is used as the vehicle light prompt condition.

[0066] Among the vehicle light prompt conditions, it is about recognizing that the first driving road condition does not meet the driving intention of the following vehicle. Specifically, in the case where the driver of the vehicle ahead does not actively trigger the vehicle lights to emit the first vehicle light prompt effect, the driving intention of the following vehicle can be further considered. In this embodiment, the vehicle itself can recognize the driving intention of the following vehicle and determine whether the first driving road condition can meet the driving intention of the following vehicle. For example, the first driving road condition is that there is a vehicle driving in the opposite direction on the road ahead, and the driving intention of the following vehicle is to change lanes and overtake. In this case, it is very easy to have a traffic accident when changing lanes and overtaking with the vehicle driving in the opposite direction in the oncoming lane, and the first driving road condition does not meet the driving intention of the following vehicle. Therefore, this embodiment can use recognizing that the first driving road condition does not meet the driving intention of the following vehicle as the vehicle light prompt condition.

[0067] Based on the above embodiments, here an overtaking scenario is taken as an example to provide a specific embodiment for judging whether the vehicle light prompt condition is met, as shown below.

[0068] First, according to the driving state data of the following vehicle, judge whether the driving intention of the following vehicle is an overtaking intention; among them, the driving state data such as includes: vehicle speed change data, vehicle position change data, turn signal data, etc.

[0069] Specifically, according to the vehicle speed change data, it is determined that the vehicle speed of the following vehicle increases, according to the vehicle position change data, it is determined that the following vehicle deviates from the original lane, and according to the turn signal data, it is determined that the following vehicle turns on the turn signal and keeps it on for a certain period of time; when the driving state data meets at least two of the above, the driving intention of the following vehicle can be an overtaking intention.

[0070] When the overtaking intention of the following vehicle is determined, judge whether the first driving road condition meets the overtaking conditions. Exemplarily, the overtaking conditions may include but are not limited to: the lane width and length of the road ahead respectively meet the corresponding safety width and safety length, there are no abnormal situations such as vehicles driving in the opposite direction and obstacles on the road ahead, the longitudinal distance and lateral distance between the following vehicle and the vehicles on the road ahead respectively meet the corresponding longitudinal safety distance and lateral safety distance, and the driving speed of the vehicles on the road ahead is greater than the preset speed value.

[0071] If the first driving condition does not meet the overtaking condition, it is determined that the vehicle light prompt condition is met. When the first driving condition does not meet the overtaking condition, but the vehicle behind has an intention to overtake. Therefore, as the vehicle in front, the current vehicle can determine that the vehicle light prompt condition is met, and then trigger the vehicle lights to emit the first vehicle light prompt effect to remind the vehicle behind that overtaking is not appropriate ahead.

[0072] In this embodiment, by recognizing that the first driving condition does not meet the driving intention of the vehicle behind, which is the vehicle light prompt condition, the active trigger of the light language interaction can be realized. Even if the vehicle in front does not give a light language prompt, the vehicle light prompt effect can also be triggered as a mandatory function of the vehicle through the light language matching relationship, and the vehicle lights are automatically and actively triggered to emit the first vehicle light prompt effect.

[0073] Judge whether at least one of the above vehicle light prompt conditions is met. If not, it means there is no need for vehicle light prompt, and no processing is performed. If met, perform the following step (3).

[0074] (3) When the vehicle light prompt condition is met, determine the first vehicle light prompt effect among the candidate vehicle light prompt effects, and trigger the vehicle lights to emit the first vehicle light prompt effect.

[0075] In one embodiment, when only the vehicle light prompt condition that the first driving condition is recognized not to meet the driving intention of the vehicle behind is met, the first vehicle light prompt effect can be determined among the candidate vehicle light prompt effects according to the preset priority or randomly, and the vehicle lights are triggered to emit the first vehicle light prompt effect.

[0076] In another embodiment, when at least the vehicle light prompt condition that the selection operation of the candidate vehicle light prompt effect by the user is received is met, the first vehicle light prompt effect can be determined among the candidate vehicle light prompt effects according to the user's selection operation, and the vehicle lights are triggered to emit the first vehicle light prompt effect.

[0077] S106. When the vehicle itself is the vehicle behind, obtain the vehicle light image taken of the vehicle in front, and determine the second driving condition matching the second vehicle light prompt effect included in the vehicle light image according to the light language matching relationship; and,

[0078] Step S108. Control the driving behavior of the vehicle according to the second driving condition.

[0079] In the scenario where the vehicle is the vehicle behind, the vehicle can take the vehicle light image of the vehicle in front through devices such as a camera and a vehicle body processor, and identify the second driving condition expressed by the second vehicle light prompt effect in the vehicle light image. In this embodiment, determining the second driving condition matching the second vehicle light prompt effect included in the vehicle light image according to the light language matching relationship may include:

[0080] Identify the second headlight prompt effect in the headlight image of the vehicle behind; wherein, the headlight image is an image obtained by the vehicle behind taking a picture of the headlight of the vehicle in front; then determine the second driving condition that matches the second headlight prompt effect according to the light language matching relationship.

[0081] When specifically implemented, the vehicle behind determines the driving condition that matches the second headlight prompt effect according to the light language matching relationship, and directly determines this driving condition as the final second driving condition.

[0082] Or, in another implementation manner, it may include:

[0083] The vehicle (currently acting as the vehicle behind) obtains road condition data from at least one vehicle in front; wherein, the road condition data includes: a road condition image and / or a first candidate driving condition; determine a second candidate driving condition that matches the second headlight prompt effect according to a preset light language matching relationship; compare whether the second candidate driving condition is consistent with the road condition represented by at least one road condition data; if they are consistent, determine the first candidate driving condition or the road condition represented by the road condition data as the second driving condition; if they are inconsistent, determine the second driving condition based on at least one road condition data. [[ID=!]]

[0084] In this implementation manner, the vehicle (currently acting as the vehicle behind) obtains road condition data of at least one vehicle in front within a preset distance range in front (such as 100 meters); the road condition data may include a road condition image collected by the vehicle in front, and may also include a first candidate driving condition collected by the vehicle in front; the first candidate road condition may be a road condition recognized by the vehicle in front based on the road condition image, or a road condition manually fed back by a user on the vehicle in front through a terminal. At the same time, the vehicle behind will also determine a second candidate driving condition that matches the second headlight prompt effect according to the light language matching relationship.

[0085] The rear vehicle performs a dual verification of the real road conditions based on the road condition data and the second candidate driving road conditions. Specifically, the rear vehicle can perform road condition recognition on the road condition image to obtain the third candidate driving road conditions; if the second candidate driving road conditions are consistent with the first candidate driving road conditions and the third candidate driving road conditions of at least one front vehicle, it indicates that the second candidate driving road conditions, the first candidate driving road conditions, and the third candidate driving road conditions are the same road conditions, with extremely high credibility, and the first candidate driving road conditions or the second candidate driving road conditions and the third candidate driving road conditions are determined as the final second driving road conditions. If the second candidate driving road conditions are inconsistent with the first candidate driving road conditions and the third candidate driving road conditions of at least one front vehicle, it indicates that there are incorrect data among the first candidate driving road conditions, the second candidate driving road conditions, and the third candidate driving road conditions. In this case, it is considered that the road conditions represented by the road condition data directly obtained by the front vehicle have higher credibility than the second candidate driving road conditions indirectly determined according to the light signal matching relationship. Therefore, the second driving road conditions are determined based on at least one road condition data.

[0086] Exemplarily, first perform road condition recognition on the road condition image in at least one road condition data to obtain the third candidate driving road conditions. Then, the road condition that appears most frequently among the first candidate driving road conditions and the third candidate driving road conditions can be determined as the final second driving road conditions. Or, the first candidate driving road conditions corresponding to the front vehicle closest to the vehicle itself can be determined as the final second driving road conditions. In addition, the current vehicle can also send the road condition image to the rear vehicle, and the driver of the rear vehicle can more intuitively observe the road conditions ahead from the road condition image and make driving behaviors.

[0087] In this embodiment, by performing a dual verification of the real road conditions on the road condition data recognized by the front vehicle and the second candidate driving road conditions determined according to the light signal matching relationship, the accuracy of road condition recognition can be improved. At the same time, for the situation where the rear vehicle does not have a camera to capture the headlight image of the vehicle in front and thus cannot determine the second candidate driving road conditions according to the light signal matching relationship, this embodiment can at least obtain the first candidate driving road conditions recognized by the front vehicle from the cloud server, thereby avoiding the problem of being unable to obtain road conditions in a timely manner when the link goes wrong.

[0088] As a rear vehicle, after obtaining the second driving road conditions in front of it, the vehicle can use devices such as a screen, a head-up display, and an instrument panel to display the second driving road conditions and the road condition image in a graphic form, and / or use devices such as a speaker to broadcast the second driving road conditions in a voice form.

[0089] Based on the above embodiments, the vehicle light signal interaction method provided by the present disclosure may further include: when the vehicle itself is a rear vehicle, controlling the driving behavior of the vehicle according to the second driving road conditions.

[0090] In a specific embodiment, if the following vehicle experiences an abnormal second driving condition (such as congestion, an accident, or wrong-way driving), intelligent driving can intervene and control the vehicle's driving behavior based on the second driving condition. For example, if the second driving condition is an oncoming vehicle in the opposite lane, and the user performs a lane change to overtake, intelligent driving will control the vehicle to prohibit the lane change to overtake, thereby preventing a dangerous situation.

[0091] In addition, it can be understood that when this embodiment is applied to a scenario where the front vehicle reminds the rear vehicle, the above-mentioned headlight prompting effects such as the first headlight prompting effect and the second headlight prompting effect are usually lighting effects emitted by the headlights on the front vehicle that are easily observed by the rear vehicle. The above-mentioned headlights that are easily observed by the rear vehicle include: the taillights, rear turn signals, rear fog lights and side turn signals on the front vehicle.

[0092] In the above embodiments, the vehicle light language interaction method is introduced based on a single scenario where the vehicle is the vehicle in front or behind. Next, this embodiment introduces the vehicle light language interaction method for a complex scenario on an actual road, which includes both vehicles in front and behind.

[0093] Reference Figure 2 In this embodiment, the vehicle light language interaction method may include:

[0094] S202: Based on the relative position relationship, the front vehicle is regarded as the first vehicle and the rear vehicle is regarded as the second vehicle; both the first vehicle and the second vehicle obtain a light language matching relationship.

[0095] S204, the first vehicle obtains the real-time driving road condition ahead, and triggers the headlights to emit a real-time headlight prompt effect that matches the real-time driving road condition according to the light language matching relationship.

[0096] S206: The second vehicle obtains a headlight image of the vehicle ahead and identifies a real-time headlight prompt effect in the headlight image.

[0097] S208: The second vehicle determines a real-time driving road condition that matches the real-time vehicle light prompt effect based on the light language matching relationship.

[0098] Similar to the above embodiment, a possible specific implementation of step S208 includes:

[0099] 1) The second vehicle obtains road condition data from at least one preceding vehicle; wherein the road condition data includes: a road condition image and / or a first candidate driving road condition; and the at least one preceding vehicle includes the first vehicle;

[0100] 2) Determine a second candidate driving road condition that matches the real-time vehicle light prompt effect according to the preset vehicle light language matching relationship;

[0101] 3) Compare whether the second candidate driving road condition is consistent with the road conditions represented by at least one road condition data;

[0102] 4) If they are consistent, determine the road condition represented by the second candidate driving road condition, the first candidate driving road condition or the road condition data as the final real-time driving road condition;

[0103] 5) If they are inconsistent, determine the final real-time driving road condition based on at least one road condition data.

[0104] S210, the second vehicle controls the driving behavior of the vehicle according to the real-time driving road condition.

[0105] In this embodiment, the first vehicle in the front can trigger a real-time vehicle light prompt effect that matches the real-time driving road condition, and can send a reminder about the road condition to the second vehicle in the rear in the form of vehicle lights. At the same time, the second vehicle in the rear obtains the vehicle light image of the first vehicle in the front, recognizes the real-time vehicle light prompt effect in the vehicle light image, and determines the real-time driving road condition based on this, so that the second vehicle can understand the road condition expressed by the vehicle lights of the first vehicle in the front in the way of image recognition, and then make reasonable driving behaviors. In short, the vehicle in the front can transmit the real-time driving road condition to the rear through the vehicle lights, and the vehicle in the rear can understand the real-time driving road condition in the front through the vehicle lights, realizing the information interaction of the real-time driving road condition between the front and rear vehicles through the vehicle lights, and improving driving safety.

[0106] In summary, the vehicle light language interaction method provided in this embodiment includes: obtaining a vehicle light language matching relationship; where the vehicle light language matching relationship is used to represent the relationship between the vehicle light prompt effect and the driving road condition; when the vehicle itself is the front vehicle, obtaining the first driving road condition in the front, and triggering the vehicle lights to emit a first vehicle light prompt effect that matches the first driving road condition according to the vehicle light language matching relationship; when the vehicle itself is the rear vehicle, obtaining the vehicle light image of the front vehicle, and determining the second driving road condition that matches the second vehicle light prompt effect included in the vehicle light image according to the vehicle light language matching relationship, and controlling the driving behavior of the vehicle according to the second driving road condition.

[0107] In this technical solution, by obtaining a unified light signal matching relationship, the vehicle can standardize chaotic light signal combinations and improve the standardization of light signal interaction. Whether the vehicle is a vehicle in the front or the rear, it can perform more accurate information interaction based on the light signal matching relationship. Among them, for the vehicle in the front, according to the light signal matching relationship, the vehicle lamp is triggered to emit a first vehicle lamp prompt effect matching the first driving condition, which can realize the active trigger of light signal interaction and automatically stimulate the vehicle lamp to emit the first vehicle lamp prompt effect. For the vehicle in the rear, when the light signal transmitted by the vehicle in the front is unclear, it can accurately identify the second driving condition using the light signal matching relationship and control the driving behavior of the vehicle. The above solution is especially important for the vehicle in the rear with blocked line of sight. Using the light signal matching relationship to identify the driving condition expressed by the vehicle lamp prompt effect and making corresponding driving behaviors is very important for safe driving. Therefore, based on the light signal matching relationship, this solution can improve the interaction effect of light signals between vehicles, and further, it is beneficial to help the driver accurately make driving behaviors and improve driving safety.

[0108] Figure 3 FIG. 4 is a flowchart of another vehicle light signal interaction method provided by an embodiment of the present disclosure. This method can be applied to the scenario where information is interacted by light signals between the front and rear vehicles driving on the road. This vehicle light signal interaction method can be executed by a vehicle light signal interaction device configured on a cloud server, and this device can be implemented by software and / or hardware. As Figure 3 shown, an embodiment of the present disclosure provides a vehicle light signal interaction method, which is applied to a cloud server and includes the following steps.

[0109] Step S302, establish a light signal matching relationship; wherein, the light signal matching relationship is used to represent the relationship between the vehicle lamp prompt effect and the driving condition;

[0110] Step S304, send the light signal matching relationship to the vehicles driving on the road, so that the vehicles trigger the vehicle lamp to emit a first vehicle lamp prompt effect matching the front driving condition according to the light signal matching relationship, and / or determine the second driving condition matching the second vehicle lamp prompt effect, and control the driving behavior of the vehicle according to the second driving condition; wherein, the second vehicle lamp prompt effect is included in the vehicle lamp image captured of the vehicle in the front.

[0111] In one embodiment, establishing the light signal matching relationship includes:

[0112] Obtain the second driving condition recognized by the first vehicle for the front road and the third vehicle lamp prompt effect emitted by the first vehicle;

[0113] Judge whether the second driving condition and the third vehicle lamp prompt effect satisfy the existing light signal matching relationship;

[0114] In the case of non - satisfaction, a new light language matching relationship between the second driving road condition and the third vehicle light prompt effect is established.

[0115] In one embodiment, sending the light language matching relationship to the vehicles traveling on the road includes:

[0116] Sending the new light language matching relationship to the first vehicle and multiple second vehicles within a preset distance range behind the first vehicle, so that the first vehicle and the second vehicles update the light language matching relationship.

[0117] The vehicle light language interaction method applied to the cloud server provided in this embodiment has the same implementation principle and the same technical effects as the embodiment of the vehicle light language interaction method applied to the vehicle. For the sake of brief description, for the parts not mentioned in this embodiment, reference can be made to the corresponding content in the foregoing method embodiment.

[0118] Figure 4 FIG. is a schematic structural diagram of another vehicle light language interaction device provided in an embodiment of the present disclosure. This device is applied to a vehicle and includes the following modules.

[0119] A relationship acquisition module 410, configured to acquire a light language matching relationship; wherein, the light language matching relationship is used to represent the relationship between the vehicle light prompt effect and the driving road condition;

[0120] A first light language interaction module 420, configured to, when the vehicle itself is the front vehicle, acquire the first driving road condition in front and trigger the vehicle lights to emit a first vehicle light prompt effect matching the first driving road condition according to the light language matching relationship; or,

[0121] A second light language interaction module 430, configured to, when the vehicle itself is the rear vehicle, acquire a vehicle light image of the front vehicle and determine a second driving road condition matching the second vehicle light prompt effect included in the vehicle light image according to the light language matching relationship; and,

[0122] A vehicle control module 440, configured to control the driving behavior of the vehicle according to the second driving road condition.

[0123] The device provided in this embodiment has the same implementation principle and the same technical effects as the foregoing method embodiment. For the sake of brief description, for the parts not mentioned in the device embodiment, reference can be made to the corresponding content in the foregoing method embodiment.

[0124] Figure 5 FIG. is a schematic structural diagram of an electronic device provided in an embodiment of the present disclosure. As Figure 5 shown, the electronic device 500 includes one or more processors 501 and a memory 502.

[0125] The processor 501 can be a central processing unit (CPU) or other forms of processing units with data processing capabilities and / or instruction execution capabilities, and can control other components in the electronic device 500 to perform desired functions.

[0126] The memory 502 can include one or more computer program products, and the computer program products can include various forms of computer-readable storage media, such as volatile memory and / or non-volatile memory. The volatile memory can include, for example, random access memory (RAM) and / or cache memory, etc. The non-volatile memory can include, for example, read-only memory (ROM), hard disk, flash memory, etc. One or more computer program instructions can be stored on the computer-readable storage media, and the processor 501 can run the program instructions to implement the vehicle light language interaction method of the embodiments of the present disclosure described above and / or other desired functions. Various contents such as input signals, signal components, noise components, etc. can also be stored in the computer-readable storage media.

[0127] In one example, the electronic device 500 can further include: an input device 503 and an output device 504, and these components are interconnected through a bus system and / or other forms of connection mechanisms (not shown).

[0128] In addition, the input device 503 can further include, for example, a keyboard, a mouse, and so on.

[0129] The output device 504 can output various information to the outside, including the determined distance information, direction information, etc. The output device 504 can include, for example, a display, a speaker, a printer, and a communication network and its connected remote output devices, and so on.

[0130] Of course, for simplicity, Figure 5 only some of the components related to the present disclosure in the electronic device 500 are shown, and components such as buses, input / output interfaces, etc. are omitted. In addition, according to specific application scenarios, the electronic device 500 can further include any other appropriate components.

[0131] Furthermore, this embodiment also provides a computer-readable storage medium, and the storage medium stores a computer program, and the computer program is used to execute the above-mentioned vehicle light language interaction method.

[0132] Furthermore, this embodiment also provides a vehicle, and the vehicle includes the above-mentioned vehicle light language interaction device.

[0133] A vehicle light language interaction method, device, equipment, medium and computer program product of a vehicle provided by an embodiment of the present disclosure include a computer-readable storage medium storing program codes, and the instructions included in the program codes can be used to execute the method described in the foregoing method embodiments. For specific implementation, reference can be made to the method embodiments, which will not be elaborated herein.

[0134] It should be noted that in this article, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements not only includes those elements, but also includes other elements not expressly listed, or further includes elements inherent to such process, method, article or device. Without further limitation, an element defined by the statement "including a..." does not exclude the existence of additional identical elements in the process, method, article or device including the said element.

[0135] The above are only specific embodiments of the present disclosure, enabling those skilled in the art to understand or implement the present disclosure. Various modifications to these embodiments will be obvious to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present disclosure. Therefore, the present disclosure will not be limited to these embodiments described herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A vehicle light language interaction method, characterized in that, The method includes: Obtaining a lamp language matching relationship; wherein, the lamp language matching relationship is used to represent the relationship between the vehicle headlight prompt effect and the driving road conditions; When the vehicle itself is the vehicle in front, obtaining the first driving road conditions ahead and triggering the vehicle headlights to emit a first vehicle headlight prompt effect matching the first driving road conditions according to the lamp language matching relationship; or, When the vehicle itself is the vehicle behind, obtaining a vehicle headlight image of the vehicle in front and determining, according to the lamp language matching relationship, the second driving road conditions matching the second vehicle headlight prompt effect included in the vehicle headlight image; and, Controlling the driving behavior of the vehicle according to the second driving road conditions.

2. The method according to claim 1, wherein The triggering the vehicle headlights to emit a first vehicle headlight prompt effect matching the first driving road conditions according to the lamp language matching relationship includes: Obtaining at least one candidate vehicle headlight prompt effect matching the first driving road conditions according to the lamp language matching relationship; Judging whether a vehicle headlight prompt condition is satisfied; wherein, the vehicle headlight prompt condition includes: receiving a selection operation of the user for the candidate vehicle headlight prompt effect, and / or, recognizing that the first driving road conditions do not meet the driving intention of the vehicle behind; When the vehicle headlight prompt condition is satisfied, determining a first vehicle headlight prompt effect among the candidate vehicle headlight prompt effects and triggering the vehicle headlights to emit the first vehicle headlight prompt effect.

3. The method according to claim 2, wherein The judging whether a vehicle headlight prompt condition is satisfied includes: Judging whether the driving intention of the vehicle behind is an overtaking intention according to the driving state data of the vehicle behind; wherein, the driving state data includes: vehicle speed change data, vehicle position change data and turn signal data; When the overtaking intention is determined, judging whether the first driving road conditions meet the overtaking conditions; If not, it is determined that the vehicle headlight prompt condition is satisfied.

4. The method according to claim 1, wherein The determining, according to the lamp language matching relationship, the second driving road conditions matching the second vehicle headlight prompt effect included in the vehicle headlight image includes: The vehicle behind recognizes the second vehicle headlight prompt effect in the vehicle headlight image; wherein, the vehicle headlight image is an image obtained by the vehicle behind taking a picture of the vehicle headlights of the vehicle in front; Determining the second driving road conditions matching the second vehicle headlight prompt effect according to the lamp language matching relationship.

5. The method according to claim 4, wherein The determining, according to the lamp language matching relationship, the second driving road conditions matching the second vehicle headlight prompt effect includes: Obtaining road condition data from at least one of the vehicles in front; wherein, the road condition data includes: road condition images and / or first candidate driving road conditions; Determining a second candidate driving road condition matching the second vehicle headlight prompt effect according to a preset lamp language matching relationship; Comparing whether the second candidate driving road condition is consistent with the road conditions represented by at least one of the road condition data; If they are consistent, determining the road conditions represented by the first candidate driving road condition or the road condition data as the second driving road conditions; If they are inconsistent, determining the second driving road conditions based on at least one of the road condition data.

6. The method according to claim 5, wherein The determining the second driving road conditions based on at least one of the road condition data includes: Performing road condition recognition on the road condition images in at least one of the road condition data to obtain a third candidate driving road condition; Determine the driving condition that appears most frequently among the first candidate driving condition and the third candidate driving condition as the second driving condition; Alternatively, determine the first candidate driving condition corresponding to the vehicle in front that is closest to the vehicle itself as the second driving condition.

7. The method according to claim 1, characterized in that The obtaining of the light signal matching relationship includes: Obtain the light signal matching relationship established and sent by the server in advance; wherein, the establishment process of the light signal matching relationship includes: Obtain the second driving condition recognized by the first vehicle for the road ahead and the third light signal prompt effect emitted by the first vehicle; Determine whether the second driving condition and the third light signal prompt effect satisfy the existing light signal matching relationship; In the case of non-satisfaction, establish a new light signal matching relationship between the second driving condition and the third light signal prompt effect.

8. A vehicle lamp language interaction device, characterized in that The device is applied to a vehicle; the device includes: A relationship obtaining module, configured to obtain a light signal matching relationship; wherein, the light signal matching relationship is used to represent the relationship between the light signal prompt effect and the driving condition; A first light signal interaction module, configured to, when the vehicle itself is the vehicle in front, obtain the first driving condition ahead and trigger the vehicle lights to emit a first light signal prompt effect matching the first driving condition according to the light signal matching relationship; or, A second light signal interaction module, configured to, when the vehicle itself is the vehicle behind, obtain the light signal image of the vehicle in front and determine the second driving condition matching the second light signal prompt effect included in the light signal image according to the light signal matching relationship; and, A vehicle control module, configured to control the driving behavior of the vehicle according to the second driving condition.

9. A computer-readable storage medium, characterized in that, Instructions are stored in the computer-readable storage medium, and when the instructions are run on the terminal device, the terminal device implements the method according to any one of claims 1-7.

10. A vehicle, characterized in that, The vehicle includes the vehicle light signal interaction device according to claim 8.

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