Atmosphere lamp control method, device and equipment and computer readable storage medium

Abstract

The invention provides an atmosphere lamp control method, device and equipment and a computer readable storage medium. The method comprises the following steps: acquiring vehicle state information, environment information and navigation information of a target vehicle; analyzing the vehicle state information and the navigation information, and judging whether the automatic driving function of the target vehicle has a steering intention or not; when it is determined that the steering intention exists, whether steering conditions are met or not is judged, and a steering judgment result is obtained; the vehicle state information, the environment information and the navigation information are analyzed, whether the automatic driving function of the target vehicle has a braking intention or not is judged, and a braking judgment result is obtained; and controlling an atmosphere lamp of the target vehicle according to the steering judgment result and the braking judgment result. According to the method, the steering intention and braking can be predicted, the atmosphere lamp is controlled in a targeted mode according to different automatic driving working conditions, and the timeliness of user prompting is improved.

Description

Technical Field

[0001] The present invention relates to the field of vehicle ambient light control, and more particularly to an ambient light control method, device, equipment and computer-readable storage medium. Background Art

[0002] With the rapid development of autonomous driving technology, in order to improve the user experience and keep the user alert when using the autonomous driving function, the demand for intelligent and personalized vehicle interior environment is growing. The ambient light system can provide users with intuitive visual prompts by dynamically adjusting the color and brightness of the ambient light in the car. At present, there are few ambient light control methods on the market that are linked to the specific working conditions of autonomous driving. When the autonomous driving function intends to perform certain operations, the ambient light prompts the user in a timely manner, resulting in a poor user experience. Summary of the invention

[0003] The present invention application provides an atmosphere light control method, device, equipment and computer-readable storage medium, which can solve the technical problem of the atmosphere light not prompting the user in a timely manner by linking with the specific working conditions of autonomous driving.

[0004] In order to solve the above technical problems, the first aspect of the present invention provides an atmosphere light control method, comprising:

[0005] Obtain vehicle status information and navigation information of the target vehicle;

[0006] Analyzing the vehicle state information and navigation information to determine whether the automatic driving function of the target vehicle has a turning intention; and when it is determined that the automatic driving function has a turning intention, analyzing the vehicle state information and the environment information to determine whether a turning condition is met, and obtaining a turning determination result;

[0007] Analyze the vehicle status information, the environment information and the navigation information to determine whether the automatic driving function of the target vehicle has a braking intention, and obtain a braking determination result;

[0008] The ambient light of the target vehicle is controlled according to the steering judgment result and the braking judgment result.

[0009] In implementing this aspect, by analyzing the vehicle status information and navigation information, it is determined whether the automatic driving function of the target vehicle has a turning intention, and when it is determined that there is a turning intention, it is determined whether the turning conditions are met based on the vehicle status information and the environmental information, thereby obtaining the steering judgment information of the automatic driving function, and predicting the steering intention of the automatic driving function and whether the corresponding conditions are met to a certain extent; in addition, based on the analysis of the vehicle status information, the environmental information and the navigation information, it is determined whether the automatic driving function has a braking intention, and predicting the braking intention of the automatic driving function to a certain extent; according to the different automatic driving conditions existing in the steering judgment results and the braking judgment results, the lighting effects of the ambient lights are respectively controlled in a targeted manner. On the basis of realizing the linkage between the automatic driving conditions and the ambient light control, the intentions or decisions of the automatic driving function can be further predicted to improve the timeliness of user prompts, reduce the discomfort of users to sudden conditions during automatic driving, and improve the user's sense of security and experience.

[0010] The second aspect of the present invention provides an atmosphere light control device, including an acquisition module, a first judgment module, a second judgment module and a first control module; wherein,

[0011] The acquisition module is used to acquire vehicle status information, environment information and navigation information of the target vehicle;

[0012] The first judgment module is used to analyze the vehicle state information and navigation information to determine whether the automatic driving function of the target vehicle has a turning intention; and when it is determined that the automatic driving function has a turning intention, analyze the vehicle state information and the environment information to determine whether the turning condition is met and obtain a turning judgment result;

[0013] The second judgment module is used to analyze the vehicle state information, the environment information and the navigation information, judge whether the automatic driving function of the target vehicle has a braking intention, and obtain a braking judgment result;

[0014] The first control module is used to control the ambient light of the target vehicle according to the steering judgment result and the braking judgment result.

[0015] A third aspect of the present invention application provides an atmosphere light control device, comprising a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface communicate with each other through the communication bus;

[0016] The memory is used to store at least one executable instruction, and the executable instruction enables the processor to execute the operation of the atmosphere light control method.

[0017] The fourth aspect of the present application provides a computer-readable storage medium, which stores at least one executable instruction. When the executable instruction runs on the atmosphere light control device / apparatus, the atmosphere light control device / apparatus performs the operation of the atmosphere light control method. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 : A flow chart of the first embodiment of the atmosphere light control method provided in the present invention application.

[0019] Figure 2 : A flow chart of a second embodiment of the atmosphere light control method provided in the present application.

[0020] Figure 3 : A flow chart of a preferred implementation of the second embodiment of the atmosphere light control method provided in the present application.

[0021] Figure 4 : A flow chart of another preferred implementation of the second embodiment of the atmosphere light control method provided in the present application.

[0022] Figure 5 : A flow chart of the third embodiment of the atmosphere light control method provided in the present application.

[0023] Figure 6 : A schematic diagram of the technical architecture of the third embodiment of the atmosphere light control method provided in the present application.

[0024] Figure 7 : A schematic structural diagram of the first embodiment of the atmosphere light control device provided in the present invention application.

[0025] Figure 8 : A schematic structural diagram of the first embodiment of the atmosphere light control device provided in the present application. DETAILED DESCRIPTION

[0026] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0027] Embodiment 1

[0028] According to relevant technical records, the vehicle ambient light system can provide users with intuitive visual prompts by dynamically adjusting parameters such as the color and brightness of the ambient light in the car. At present, few ambient light control methods on the market are linked to the specific working conditions of autonomous driving. When the autonomous driving function intends to perform certain operations, the ambient light prompts the user in a timely manner, resulting in a poor user experience.

[0029] The current ambient light prompt function mainly includes some simple prompts. For example, when the user performs a turning operation (it can be an automatic driving or intelligent assisted driving scenario, or a human driving scenario), the corresponding ambient light prompt effect is emitted to let the user know that the vehicle is currently in a turning state. However, this technical solution only issues a corresponding prompt after the turn occurs. For the driver, this prompt is not so necessary. For other passengers except the driver, when they perceive the change in the ambient light effect, they already have an intuitive feeling of the vehicle's turning state. Therefore, the control of the ambient light is not timely enough and cannot achieve a good prompt effect.

[0030] For one or more of the above technical issues, please refer to Figure 1 , Figure 1 This is a flow chart of the first embodiment of the atmosphere light control method provided by the present invention. The atmosphere light control method can be applied to the vehicle terminal of the target vehicle, and the vehicle terminal can be a domain controller, which analyzes the vehicle status and sends a corresponding atmosphere light control signal. It can be understood that the atmosphere light is the execution component of the domain controller.

[0031] Figure 1 The illustrated embodiment includes steps S101 to S104. Each step is described in detail as follows:

[0032] Step S101, obtaining vehicle status information, environment information and navigation information of the target vehicle.

[0033] In this step, the vehicle state information may include but is not limited to current speed (current_speed), current steering angle velocity (steering_angle_rate) and current acceleration (acceleration), etc. The current speed and current steering angle velocity may be obtained by analyzing the rotation speed of the motor of the target vehicle or the speed sensor data.

[0034] In one embodiment, after the current speed is obtained, the speed information is first-order derived to obtain the current acceleration of the target vehicle. In another embodiment, the current acceleration of the target vehicle is directly obtained from the current acceleration sensor.

[0035] The above navigation information includes but is not limited to turn distance (turn_distance), route curvature (route_curvature), lane change distance (lane_change_distance), road slope (road_slope) and navigation destination information (navigation_destination). Among them, the turn distance indicates the distance from the upcoming turning point to the current position; the lane change distance indicates the distance that the navigation system recommends changing lanes; the navigation destination information may include the location of the destination and the estimated time of arrival. The above navigation information can be obtained from the navigation system.

[0036] The above-mentioned environmental information is specifically the environmental perception information of the vehicle. The environmental perception information may specifically include road information (road_conditions). The road information may include the congestion state of the road (traffic_congestion), the location of pedestrians and obstacles (pedestrian_obstacle_location) and the driving conditions. The above-mentioned environmental information may be obtained through perception sensors, such as ultrasonic radar, camera and laser radar.

[0037] Step S102: Analyze the vehicle status information and navigation information to determine whether the automatic driving function of the target vehicle has a turning intention; and when it is determined that the automatic driving function has a turning intention, analyze the vehicle status information and the surrounding environment information to determine whether the turning conditions are met to obtain a turning judgment result.

[0038] In this step, the vehicle status information and navigation information are analyzed through a preset steering intention calculation model to determine whether the automatic driving function of the target vehicle has a steering intention.

[0039] For example, when the current speed is high and the current acceleration is negative (vehicle status information), combined with the turning distance (navigation information), it can be determined that the target vehicle is about to turn or change lanes. When the turning distance is large, it can be determined that the target vehicle is about to change lanes, that is, the intention to change lanes; when the turning distance is small, it can be determined that the target vehicle is about to turn, that is, the automatic driving function may have a turning intention.

[0040] It can be understood that in order to improve the accuracy of the judgment result, in addition to the above-mentioned parameters such as current speed, current acceleration and steering intention, other parameters can be further combined for comprehensive analysis to achieve the purpose of accurate judgment.

[0041] In addition, when it is determined that the automatic driving function has a turning intention, the vehicle state information and the environment information are further analyzed through a preset turning condition calculation model to determine whether the turning condition is met. For example, if the current speed is too high or the current acceleration is unstable, the turning condition may not be met at this time; or, if the traffic density is high and there are obstacles or pedestrians at the turning position, the turning condition may not be met at this time.

[0042] After determining whether the automatic driving function of the target vehicle has a turning intention and determining whether the current vehicle condition satisfies the turning conditions, a turning judgment result is obtained.

[0043] Step S103, analyzing the vehicle status information, the environment information and the navigation information, determining whether the automatic driving function of the target vehicle has a braking intention, and obtaining a braking determination result.

[0044] It is understood that step S102 and step S103 can be performed simultaneously or sequentially. Step S103 can analyze the vehicle state information, the environment information and the navigation information through a preset braking intention calculation model to determine whether the automatic driving function of the target vehicle has a braking intention.

[0045] For example, when the distance between the target vehicle and the preceding vehicle is small, or when the autonomous driving function requests to apply pressure to the brake pedal, it is determined that the autonomous driving function has a braking intention. In addition, the braking intention can also be identified and judged based on traffic system information, such as traffic light status, speed limit signs, etc.

[0046] Step S104, controlling the ambient light of the target vehicle according to the steering judgment result and the braking judgment result.

[0047] In this step, the ambient light system inside the target vehicle can be controlled specifically according to whether the automatic driving function of the target vehicle has a turning intention, whether it has a braking intention, and whether the turning conditions are met.

[0048] The ambient light system may include multiple ambient lights, each of which is independently controlled. The ambient lights in different areas may be controlled to turn on for different autonomous driving conditions.

[0049] In addition, the timing, color, brightness, atmosphere light mode (such as yellow flashing and water effect in a specific area) and / or linkage lighting effects of the atmosphere light can be controlled. At the same time, the atmosphere light can feedback the real-time status to the domain controller so that the domain controller can further identify whether the atmosphere light system is abnormal.

[0050] The present invention application determines whether the automatic driving function of the target vehicle has a turning intention by analyzing the vehicle status information and navigation information, and when it is determined that there is a turning intention, determines whether the turning conditions are met based on the vehicle status information and the environmental information, thereby obtaining the steering judgment information of the automatic driving function, and predicts the steering intention of the automatic driving function and whether the corresponding conditions are met to a certain extent; in addition, based on the analysis of the vehicle status information, the environmental information and the navigation information, it is determined whether the automatic driving function has a braking intention, and predicts the braking intention of the automatic driving function to a certain extent; according to the different automatic driving conditions existing in the steering judgment results and the braking judgment results, the lighting effects of the atmosphere lights are respectively controlled in a targeted manner. On the basis of realizing the linkage between the automatic driving conditions and the atmosphere light control, the intentions or decisions of the automatic driving function can be further predicted to improve the timeliness of user prompts, reduce the discomfort of users to sudden conditions during automatic driving, and improve the user's sense of security and experience.

[0051] exist Figure 1 Based on the embodiment shown, Figure 2 This is a flow chart of the second embodiment of the atmosphere light control method provided by the present invention. Figure 1 The same steps are not repeated here. Figure 2 As shown, step S102 analyzes the vehicle state information and navigation information to determine whether the automatic driving function of the target vehicle has a turning intention, including steps S201 and S202, which are described in detail as follows:

[0052] Step S201, obtaining the turning distance, route curvature and lane change distance from the navigation information; obtaining the current speed, current steering angular velocity and current acceleration from the vehicle status information.

[0053] Step S202, comprehensively analyzing the turning distance, route curvature, lane change distance, current speed, current steering angular velocity and current acceleration to determine whether the automatic driving function of the target vehicle has a turning intention.

[0054] In this embodiment, when obtaining the turning distance, route curvature, lane change distance, current speed, current steering angle velocity and current acceleration, it is necessary to ensure that the data is the latest data and is properly filtered to reduce noise.

[0055] For example, step S202 can be implemented by a preset turning intention calculation model. When the current speed is high and the current acceleration is negative, the turning distance can be combined to determine whether the automatic driving function of the target vehicle is about to turn or change lanes; if the current steering angular velocity shows obvious turning action, the route curvature can be combined to determine whether the turning intention is reasonable; or, when the turning distance and the lane change distance are close, the current speed and the current acceleration can be combined to determine whether a lane change is about to take place.

[0056] In addition, the present embodiment may be further analyzed in combination with the environmental information. For example, the environmental information may include a congestion status (traffic_congestion). When the congestion level is high, it may mean that frequent lane changes or speed adjustments may be required, which may affect the judgment of the turning intention.

[0057] After comprehensively analyzing the turning distance, route curvature, lane change distance, current speed, current steering angular velocity and current acceleration in step S203, it is also possible to determine the steering direction of the automatic driving function of the target vehicle and whether the automatic driving function of the target vehicle has an intention to change lanes.

[0058] The outputs of the preset turning intention calculation model are mainly turning intention (turn_intention), turning direction (turn_direction) and lane change intention (lane_change_intention). Among them, turning intention and lane change intention can be represented by Boolean values, and turning direction can be represented by a string (for example, indicating no direction, left or right).

[0059] In a preferred embodiment, Figure 3 As shown, step S102 analyzes the vehicle state information and the environment information to determine whether the turning condition is met, including step S301 and step S302, which are described in detail as follows:

[0060] Step S301, obtaining traffic system information; obtaining road slope from the navigation information, and obtaining road surface information from the surrounding environment information.

[0061] Step S302, performing a comprehensive analysis based on the traffic system information, road slope and road surface information, combined with the current speed and current acceleration, to determine whether the turning condition is met.

[0062] In this embodiment, step S302 can be implemented by presetting a turning condition calculation model. Before the traffic system information, road slope and road surface information are input into the turning condition calculation model in combination with the current speed and current acceleration, appropriate filtering can be performed to reduce noise.

[0063] In some embodiments, the road surface information includes traffic density, pedestrian locations, and obstacle locations. Exemplarily, the determination of whether the turning condition is satisfied may include:

[0064] When the current speed is too high or the current acceleration is unstable, the turning condition may not be met at this time; based on the route curvature and road slope, the steering dynamics are evaluated to see if they are within the vehicle's preset dynamic range, and combined with road surface information (such as whether there are environmental factors that affect the target vehicle's driving, such as rain, snow or ice), whether the turning condition is met; based on traffic system information, whether traffic rules are met and whether the turning condition is met; based on traffic density, pedestrian location and obstacle location, the safety of the environment around the turning location is evaluated. By comprehensively analyzing one or more of the above factors, if all of the above factors meet the turning condition, it is determined that the target vehicle meets the turning condition.

[0065] The output parameters of the turning condition calculation model include turning conditions (turn_condition_met), which can be represented by Boolean values.

[0066] In some preferred embodiments, Figure 4 As shown, the step S103 includes steps S401 to S402, which are described in detail as follows:

[0067] Step S401, obtaining traffic system information; obtaining the current speed, brake pedal signal and current acceleration from the vehicle status information; obtaining navigation destination information from the navigation information; and obtaining road surface information from the surrounding environment information.

[0068] Step S402, comprehensively analyzing the traffic system information, current speed, brake pedal signal, current acceleration, navigation destination information and the road surface information to determine whether the automatic driving function of the target vehicle has a braking intention and obtain a braking judgment result.

[0069] In this embodiment, step S402 can be implemented by presetting a braking intention calculation model. Before the traffic system information, current speed, brake pedal signal, current acceleration, navigation end point information and the road surface information are input into the braking intention calculation model, filtering can be performed to reduce noise and improve the accuracy of the model output data.

[0070] For example, the road surface information may include the distance to the preceding vehicle, congestion conditions, pedestrians or obstacles, etc. Step S402 comprehensively analyzes the traffic system information, current speed, brake pedal signal, current acceleration, navigation destination information, and the road surface information, specifically including:

[0071] Based on the traffic system information, determine the status of the traffic light or identify the speed limit sign; based on the brake pedal pressure, determine whether the autonomous driving function has applied significant braking force to preliminarily determine whether there is a braking intention; when the current speed is high and the current acceleration is negative, the braking intention can be further confirmed; analyze the distance to the vehicle in front (or congestion or pedestrians or obstacles, etc.) to further consider whether braking is needed to ensure the safety of the target vehicle user and the pedestrians or drivers in front; analyze the navigation destination information (such as the destination location and the time required to reach the destination) to evaluate whether it is close to the destination and further confirm whether deceleration is needed. Analyze one or more of the above factors to determine whether braking operations need to be performed and determine whether the autonomous driving function has a braking intention.

[0072] The output value of the braking intention calculation model includes braking intention (brake_intention), which can be represented by a Boolean value.

[0073] exist Figure 1 Based on the embodiment shown, Figure 5 This is a flow chart of the third embodiment of the atmosphere light control method provided by the present invention. Figure 1 The same steps are not repeated here.

[0074] The atmosphere light control method of the third embodiment is specifically applied to the autonomous driving domain controller of the target vehicle. In addition, the target vehicle at least includes a cockpit domain controller and a body domain controller, and the body domain controller is connected to each atmosphere light. Figure 6 A technical architecture diagram of a third embodiment of the atmosphere light control method provided by the present application is shown.

[0075] like Figure 5 As shown, step S104 of the third embodiment includes step S501 and step S502, which are described in detail as follows:

[0076] Step S501, according to the steering judgment result and the braking judgment result, query the preset mapping relationship to obtain the lighting effect control request of the ambient light.

[0077] Step S502: Send the lighting effect control request to the vehicle body domain controller, so that the vehicle body domain controller controls the ambient light according to the lighting effect control request.

[0078] In this embodiment, the mapping relationship between the steering judgment result and the control request of the ambient light, and the mapping relationship between the braking judgment result and the lighting effect control request of the ambient light can be pre-stored in the autonomous driving domain controller. When the steering judgment result is obtained in step S102 and the braking judgment result is obtained in step S103, the mapping relationship is queried to determine the corresponding lighting effect control request of the ambient light.

[0079] It is understandable that when different judgment results are obtained, different lighting effects can be used to achieve the purpose of prompting the user. For example, when the turning judgment result determines that there is a turning intention, the user can be prompted by a yellow lighting effect, and when the braking judgment result determines that there is a braking intention, the user can be prompted by a red lighting effect. In addition to the examples of the above colors, step S502 can also control different lighting effects such as the timing, brightness, atmosphere light mode and / or linkage lighting effect of the atmosphere light for different autonomous driving conditions, or control the atmosphere lights in different areas.

[0080] In some preferred embodiments, the target vehicle is also provided with a cockpit domain controller, and the atmosphere light control method further comprises: the user operates through the central control screen to set the lighting effect of the atmosphere light; the cockpit domain controller responds to the user's setting operation and configures the status setting information of the atmosphere light; the body domain controller controls the atmosphere light accordingly according to the status setting information.

[0081] Based on the above control operations on the ambient light, the ambient light can feed back the real-time status of the current lighting effect to the body domain controller, and the body domain controller sends the feedback to the autonomous driving domain controller for further decision-making by the autonomous driving domain controller; or send the feedback to the cockpit domain controller so that the user can understand the real-time status of the ambient light from the central control screen in real time.

[0082] like Figure 7 As shown, Figure 7 The schematic diagram of the structure of an embodiment of the atmosphere light control device 700 of the present invention is shown. The atmosphere light control device 700 comprises an acquisition module 701, a first judgment module 702, a second judgment module 703 and a first control module 704; wherein,

[0083] The acquisition module 701 is used to acquire vehicle status information, environment information and navigation information of the target vehicle;

[0084] The first judgment module 702 is used to analyze the vehicle state information and navigation information to determine whether the automatic driving function of the target vehicle has a turning intention; and when it is determined that the automatic driving function has a turning intention, analyze the vehicle state information and the environment information to determine whether the turning condition is met and obtain a turning judgment result;

[0085] The second judgment module 703 is used to analyze the vehicle state information, the environment information and the navigation information, determine whether the automatic driving function of the target vehicle has a braking intention, and obtain a braking judgment result;

[0086] The first control module 704 is used to control the ambient light of the target vehicle according to the steering judgment result and the braking judgment result.

[0087] In some preferred embodiments, the first judgment module 702 includes a turning intention judgment submodule, which is used to obtain turning distance, route curvature and lane change distance from navigation information; obtain current speed, current steering angular velocity and current acceleration from vehicle status information; and perform a comprehensive analysis of turning distance, route curvature, lane change distance, current speed, current steering angular velocity and current acceleration to determine whether the automatic driving function of the target vehicle has a turning intention.

[0088] In some preferred embodiments, the atmosphere light control device 700 also includes a third judgment module, and the third judgment module is used to, after the steering intention judgment submodule performs a comprehensive analysis of the turning distance, route curvature, lane change distance, current speed, current steering angular velocity and current acceleration, the atmosphere light control method also includes: judging the steering direction of the automatic driving function of the target vehicle, and judging whether the automatic driving function of the target vehicle has an intention to change lanes.

[0089] In some preferred embodiments, the first judgment module 702 also includes a turning condition judgment submodule, which is used to obtain traffic system information; obtain the road slope from the navigation information, and obtain the road surface information from the environmental information; and perform a comprehensive analysis based on the traffic system information, road slope and road surface information, combined with the current speed and current acceleration to determine whether the turning condition is met.

[0090] In some preferred embodiments, the second judgment module 703 also includes a braking intention judgment submodule, which is used to obtain traffic system information; obtain the current speed, brake pedal signal and current acceleration from the vehicle status information; obtain navigation destination information from the navigation information; obtain road surface information from the environmental information; and conduct a comprehensive analysis of the traffic system information, current speed, brake pedal signal, current acceleration, navigation destination information and road surface information to determine whether the automatic driving function of the target vehicle has a braking intention and obtain a braking judgment result.

[0091] In some preferred embodiments, the atmosphere light control device 700 is applied to the automatic driving domain controller of the target vehicle; the target vehicle is also provided with a body domain controller; the first control module 704 includes a first control submodule, and the first control submodule is used to query a preset mapping relationship according to the steering judgment result and the braking judgment result, and obtain a lighting effect control request of the atmosphere light; and send the lighting effect control request to the body domain controller so that the body domain controller controls the atmosphere light according to the lighting effect control request.

[0092] In some preferred embodiments, the target vehicle is further provided with a cockpit domain controller; the cockpit domain controller is used to respond to the user's setting operation and configure the state setting information of the atmosphere light; the body domain controller is also used to control the atmosphere light according to the state setting information.

[0093] As for the device embodiment, since it is basically similar to the method embodiment, the relevant description may refer to the partial description of the method embodiment.

[0094] Accordingly, another embodiment of the present invention provides an atmosphere light control device, comprising: a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface communicate with each other through the communication bus;

[0095] The memory is used to store at least one executable instruction, and the executable instruction enables the processor to execute the operation of the atmosphere light control method.

[0096] Figure 8 The schematic diagram of the structure of an embodiment of the atmosphere light control device of the present invention is shown. The specific embodiment of the present invention does not limit the specific implementation of the atmosphere light control device.

[0097] like Figure 8 As shown, the ambient light control device may include: a processor (processor) 802 , a communication interface (Communications Interface) 804 , a memory (memory) 806 , and a communication bus 808 .

[0098] The processor 802, the communication interface 804, and the memory 806 communicate with each other via a communication bus 808. The communication interface 804 is used to communicate with other devices such as a client or other server network elements. The processor 802 is used to execute a program 810, which can specifically execute the relevant steps in the above-mentioned embodiment of the atmosphere light control method.

[0099] Specifically, the program 810 may include program code including computer executable instructions.

[0100] The processor 802 may be a central processing unit (CPU), or an application-specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present invention. The one or more processors included in the ambient light control device may be processors of the same type, such as one or more CPUs; or may be processors of different types, such as one or more CPUs and one or more ASICs.

[0101] The memory 806 is used to store the program 810. The memory 806 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0102] In addition, another embodiment of the present application also provides a computer-readable storage medium, which stores at least one executable instruction. When the executable instruction runs on the atmosphere light control device / apparatus, the atmosphere light control device / apparatus performs the operation of the atmosphere light control method.

[0103] The specific embodiments described above further illustrate the purpose, technical solutions and beneficial effects of the present invention. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. It is particularly pointed out that for those skilled in the art, any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for controlling an atmosphere lamp, characterized in that: include: Obtain vehicle status information, environment information and navigation information of the target vehicle; Analyzing the vehicle status information and navigation information to determine whether the automatic driving function of the target vehicle has a turning intention; When it is determined that the automatic driving function has a turning intention, the vehicle state information and the environment information are analyzed to determine whether a turning condition is met and obtain a turning determination result; Analyze the vehicle status information, the environment information and the navigation information to determine whether the automatic driving function of the target vehicle has a braking intention, and obtain a braking determination result; The ambient light of the target vehicle is controlled according to the steering judgment result and the braking judgment result.

2. The atmosphere light control method according to claim 1, characterized in that: The analyzing the vehicle status information and navigation information to determine whether the automatic driving function of the target vehicle has a turning intention includes: Obtain turning distance, route curvature and lane change distance from navigation information; obtain current speed, current steering angle velocity and current acceleration from vehicle status information; A comprehensive analysis is performed on the turning distance, route curvature, lane change distance, current speed, current steering angular velocity and current acceleration to determine whether the automatic driving function of the target vehicle has a steering intention.

3. The atmosphere light control method according to claim 2, characterized in that: After the comprehensive analysis of the turning distance, route curvature, lane change distance, current speed, current steering angular velocity and current acceleration, the ambient light control method also includes: judging the steering direction of the automatic driving function of the target vehicle, and judging whether the automatic driving function of the target vehicle has an intention to change lanes.

4. The atmosphere light control method according to claim 2, characterized in that: The analyzing the vehicle state information and the environment information to determine whether the turning condition is met includes: Acquire traffic system information; acquire road slope from the navigation information, and acquire road surface information from the surrounding environment information; A comprehensive analysis is performed based on the traffic system information, road slope and road surface information, combined with the current speed and current acceleration to determine whether the turning condition is met.

5. The atmosphere light control method according to claim 1, characterized in that: The analyzing the vehicle state information, the environment information and the navigation information to determine whether the automatic driving function of the target vehicle has a braking intention and obtaining a braking determination result includes: Acquire traffic system information; acquire current speed, brake pedal signal and current acceleration from the vehicle status information; acquire navigation destination information from the navigation information; acquire road surface information from the surrounding environment information; The traffic system information, current speed, brake pedal signal, current acceleration, navigation endpoint information and the road surface information are comprehensively analyzed to determine whether the automatic driving function of the target vehicle has a braking intention and obtain a braking judgment result.

6. The atmosphere light control method according to claim 1, characterized in that: An autonomous driving domain controller applied to a target vehicle; the target vehicle is also provided with a body domain controller; the ambient light of the target vehicle is controlled according to the steering judgment result and the braking judgment result, including: According to the steering judgment result and the braking judgment result, the preset mapping relationship is queried to obtain the lighting effect control request of the ambient light; The lighting effect control request is sent to the body domain controller, so that the body domain controller controls the atmosphere light according to the lighting effect control request.

7. The atmosphere lamp control method according to claim 6, characterized in that: The target vehicle is also provided with a cockpit domain controller; the atmosphere light control method further comprises: The cockpit domain controller is used to respond to the user's setting operation and configure the state setting information of the atmosphere light; The body domain controller is also used to control the atmosphere light according to the status setting information.

8. An atmosphere light control device, characterized in that: It includes an acquisition module, a first judgment module, a second judgment module and a first control module; wherein, The acquisition module is used to acquire vehicle status information, environment information and navigation information of the target vehicle; The first judgment module is used to analyze the vehicle state information and navigation information to determine whether the automatic driving function of the target vehicle has a turning intention; and when it is determined that the automatic driving function has a turning intention, analyze the vehicle state information and the environment information to determine whether the turning condition is met and obtain a turning judgment result; The second judgment module is used to analyze the vehicle state information, the environment information and the navigation information, judge whether the automatic driving function of the target vehicle has a braking intention, and obtain a braking judgment result; The first control module is used to control the ambient light of the target vehicle according to the steering judgment result and the braking judgment result.

9. An atmosphere light control device, characterized in that: It includes a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface communicate with each other through the communication bus; The memory is used to store at least one executable instruction, and the executable instruction enables the processor to execute the operation of the atmosphere light control method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The storage medium stores at least one executable instruction. When the executable instruction is executed on the atmosphere light control device / apparatus, the atmosphere light control device / apparatus performs the operation of the atmosphere light control method according to any one of claims 1 to 7.

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