Automobile lamp control system and method based on DLP projection

Abstract

The invention provides an automobile lamp control system and method based on DLP projection, and relates to the technical field of automobile lamp projection control. Comprising a vehicle-mounted camera module, a navigation module, a vehicle-mounted controller, a millimeter-wave radar module and a DLP photographing module, the vehicle-mounted camera module is used for capturing gesture information and sight line information of a driver in real time; an image processing module and a control module are integrated in the vehicle-mounted controller; the image processing module is used for analyzing and recognizing the received gesture information and sight line information of the driver; the millimeter-wave radar module is used for detecting vehicle surrounding environment information; the navigation module is used for sending navigation information to the control module when a vehicle starts a navigation function; the control module is used for carrying out fusion processing on the received information based on a preset algorithm, a rule base and a gesture base, generating a control instruction corresponding to the information and sending the control instruction to the DLP photographing module. The driving safety is improved, the interaction convenience is enhanced, and the information display is optimized.

Description

Technical Field

[0001] The present invention relates to the technical field of vehicle lamp projection control, and in particular to a vehicle lamp control system and method based on DLP projection. Background Art

[0002] Traditional car lights mainly provide lighting functions, but they are insufficient in information interaction and personalized services. With the development of intelligent cars, drivers have higher demands for more driving information and personalized driving experience. Existing technologies control the projection path indication of the lights through the on-board navigation system. The on-board navigation system accurately plans the vehicle's driving path based on high-precision map data and real-time positioning information. The system encodes and processes the planned path information and converts it into specific control signals. These control signals are transmitted to the headlight control system, which accurately controls the projection module inside the headlight based on the received signals. The projection module projects the pattern or lines representing the driving path onto the road in front of the vehicle through technologies such as optical elements and micro-electromechanical systems, thereby intuitively indicating the subsequent driving direction and path for the driver. Although there are some smart headlight products on the market, their functions are relatively single and cannot meet the complex and changing driving scenarios and the diverse needs of drivers.

[0003] Specifically, existing smart headlights have the following deficiencies: (1) The separation of navigation information and driving vision: Existing headlight navigation projections are mostly fixed patterns (such as arrows and lane lines), and the projection content cannot be dynamically adjusted according to real-time road conditions (construction detours, temporary speed limits), causing the driver to frequently check the central control screen to confirm the route. The projection range and environmental adaptability are also insufficient. For example, in rainy and foggy weather or complex road conditions (such as non-standard lanes), traditional DLP projection is easily interfered with, and it is impossible to optimize the projection clarity through multi-sensor fusion (radar + camera).

[0004] (2) Passivity of driver interaction: Existing gesture recognition systems mostly rely on touch screen or physical buttons on the central control screen, and are not linked to the car lights. It is impossible to directly control the switching of projection content through gesture commands. The eye tracking function is only used for fatigue monitoring and has not been extended to the adjustment of DLP projection. The speed limit reminder relies on the instrument panel display and does not combine road sign recognition and projection enhancement, which can easily lead to speeding due to driver distraction.

[0005] The above problems need to be solved urgently. Summary of the invention

[0006] The purpose of the present invention is to overcome at least one technical problem existing in the prior art and to provide a car light control system and method based on DLP projection.

[0007] On the one hand, an embodiment of the present invention provides a car headlight control system based on DLP projection, the control system comprising: an on-board camera module, a navigation module, an on-board controller, a millimeter-wave radar module and a DLP photography module; the on-board camera module is installed inside the vehicle and is used to capture the driver's gesture information and line of sight information in real time; the on-board controller is integrated with an image processing module and a control module; the image processing module is used to analyze and identify the received gesture information and line of sight information of the driver, and convert the identification result into a corresponding control instruction and send it to the control module; the millimeter-wave radar module is used to detect the vehicle's surrounding environment information, and based on the vehicle The system uses the surrounding environment information to determine whether there is a dangerous target in front of the vehicle, and sends a corresponding control instruction to the control module based on the determination result; the navigation module is used to send navigation information to the control module when the vehicle starts the navigation function; the control module is used to fuse the control instructions sent by the image processing module, the control instructions sent by the millimeter-wave radar module and the navigation information sent by the navigation module based on the preset algorithm, rule library and gesture library, and generate a corresponding control instruction and send it to the DLP photography module; the DLP photography module is used to project the corresponding projection information to the front of the vehicle based on the control instruction received from the control module.

[0008] Furthermore, the image processing module is used to use a convolutional neural network algorithm to identify the received gesture information to obtain a specific gesture made by the driver, and convert the recognition result into a corresponding gesture control instruction and send it to the control module; and is used to use a line of sight tracking technology to identify the received line of sight information to obtain the driver's pupil position and head posture recognition results, and judge whether the driver's attention deviates from the road surface based on the recognition result, and send a first control instruction to the control module when it is judged that the driver's attention deviates from the road surface, and send a second control instruction to the control module when it is judged that the driver's attention does not deviate from the road surface.

[0009] Furthermore, the control module is used to search for corresponding DLP projection control instructions in a preset gesture library based on the received gesture control instructions; the DLP projection control instructions include DLP projection switch control instructions, DLP projection mode switching instructions and DLP projection brightness adjustment instructions.

[0010] Furthermore, the control module is used to start timing based on the received first control instruction, stop timing when the second control instruction is received, and generate a DLP projection brightness adjustment instruction based on the timing duration.

[0011] Furthermore, the millimeter wave radar module is used to send a corresponding human projection control instruction or obstacle projection control instruction to the control module when a dangerous target is identified in front of the vehicle.

[0012] Furthermore, the control module is used to control the DLP projection module to project a human-shaped warning sign onto the ground in front of the vehicle based on the received human-shaped projection control instruction, and to control the DLP projection module to project an obstacle warning sign onto the ground in front of the vehicle based on the received obstacle projection control instruction.

[0013] Furthermore, the control module is pre-burned with an information fusion algorithm, a decision algorithm and a projection content generation and control algorithm; the information fusion algorithm is used to use a Kalman filter algorithm to fuse data sent by the vehicle camera module, navigation module, millimeter wave radar module and image processing module; the decision algorithm is used to use a fuzzy logic algorithm to infer multiple input variables sent by the vehicle camera module, navigation module, millimeter wave radar module and image processing module according to preset fuzzy rules to obtain a projection decision result; the projection content generation and control algorithm is used to use a content selection algorithm to determine the DLP projection content based on the projection decision result, and use a projection parameter adjustment algorithm to adjust the DLP projection brightness based on the projection decision result.

[0014] Furthermore, the control module is used to generate projection content instructions based on the projection decision results using a content selection algorithm; generate DLP projection brightness adjustment instructions based on the projection decision results using a projection parameter adjustment algorithm; and generate DLP projection switch control instructions and DLP projection mode switching instructions based on the decision results.

[0015] Furthermore, the DLP photography module integrates a light source array, a DLP chip and an optical lens; the DLP chip integrates a micro-mirror array, which is used to realize image projection by controlling the flipping of the mirror based on the control instructions sent by the control module; the light source array adopts an LED light array to provide sufficient light for projection; the optical lens is used to focus and shape the light to ensure the clarity and accuracy of the image projected on the road surface.

[0016] In a second aspect, an embodiment of the present invention provides a method for controlling automobile lights based on DLP projection, which is applied to the above-mentioned automobile light control system based on DLP projection, and the method includes: capturing the driver's gesture information and line of sight information in real time through a vehicle-mounted camera module; analyzing and identifying the received driver's gesture information and line of sight information through an image processing module, and converting the identification result into a corresponding control instruction and sending it to the control module; detecting the vehicle's surrounding environment information through a millimeter-wave radar module, and judging whether there is a dangerous target in front of the vehicle based on the vehicle's surrounding environment information, and sending a corresponding control instruction to the control module based on the judgment result; sending navigation information to the control module through the navigation module when the vehicle starts the navigation function; the control module fuses the control instructions sent by the image processing module, the control instructions sent by the millimeter-wave radar module, and the navigation information sent by the navigation module based on a preset algorithm, rule library, and gesture library, and generates a corresponding control instruction and sends it to the DLP photography module; the DLP photography module projects the corresponding projection information to the front of the vehicle based on the control instruction received from the control module.

[0017] On the other hand, the present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores one or more instructions, and the computer instructions are used to enable the computer to execute the above-mentioned automobile headlight control method based on DLP projection.

[0018] On the other hand, the present invention provides an electronic device, comprising: a memory and a processor; the memory stores at least one program instruction; the processor implements the above-mentioned DLP projection-based automobile light control method by loading and executing the at least one program instruction.

[0019] The beneficial effects of the present invention are: (1) Improve driving safety: By projecting key vehicle information directly onto the road ahead, the driver does not need to frequently shift his or her gaze and can always maintain a high level of attention to the road conditions, effectively reducing distraction and potential driving risks caused by shifting the gaze. At the same time, the driver status monitoring and environmental information warning functions can promptly detect and alert the driver to potential dangerous situations, further enhancing driving safety.

[0020] (2) Enhanced interactive convenience: The natural interaction method based on gesture recognition and gaze tracking enables the driver to interact with the vehicle through simple and intuitive gesture operations and gaze changes, without the need to manually operate complex control buttons. This greatly improves the interactive convenience and operating efficiency during driving and enhances the user experience.

[0021] (3) Optimizing information display: A rich variety of projection modes and content can provide personalized and customized information display methods according to different driving scenarios and user needs, ensuring that drivers can quickly and accurately obtain the required information in any situation, thereby improving the efficiency and effectiveness of information transmission. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0023] Figure 1 This is a structural diagram of a car light control system based on DLP projection provided in Example 1 of the present invention.

[0024] Figure 2 It is a schematic diagram of a vehicle structure provided in Example 1 of the present invention.

[0025] Figure 3 This is a schematic diagram of projection content provided by Embodiment 1 of the present invention.

[0026] Figure 4 This is a flow chart of a car light control method based on DLP projection provided in Example 2 of the present invention.

[0027] Figure 5 This is a partial block diagram of an electronic device provided in Example 4 of the present invention. DETAILED DESCRIPTION

[0028] It should be mentioned before discussing the exemplary embodiments in more detail that some exemplary embodiments are described as processes or methods depicted as flow charts. Although the flow charts describe the operations as sequential processes, many of the operations therein can be implemented in parallel, concurrently or simultaneously. In addition, the order of the operations can be rearranged. The process can be terminated when its operation is completed, but can also have additional steps not included in the accompanying drawings. The process can correspond to a method, function, procedure, subroutine, subprogram, etc.

[0029] It should be understood that, although the terms "first", "second", etc. may be used herein to describe various units, these units should not be limited by these terms. These terms are used only to distinguish one unit from another unit. For example, without departing from the scope of the exemplary embodiments, the first unit may be referred to as the second unit, and similarly the second unit may be referred to as the first unit. The term "and / or" used herein includes any and all combinations of one or more of the listed associated items.

[0030] The present invention will now be described in detail with reference to the accompanying drawings. This figure is a simplified schematic diagram, which only illustrates the basic structure of the present invention in a schematic manner, and therefore only shows the components related to the present invention.

[0031] Example 1 For ease of understanding, the working principle of this system is generally described before describing the embodiments of the present invention in detail: This embodiment provides a car headlight control system based on DLP (Digital Light Processing) projection. The present invention aims to build a highly integrated, intelligent and efficient vehicle information projection and interactive control system based on multi-sensor fusion. By organically integrating DLP projection technology, millimeter wave radar technology and advanced in-vehicle camera perception technology, accurate projection display of vehicle information is achieved, and a natural and smooth interaction mode between the driver and the vehicle is established, thereby significantly improving the safety, convenience and user experience during driving.

[0032] The specific implementation is as follows: like Figure 1 As shown, it is a structural diagram of a car light control system based on DLP projection provided by the present invention.

[0033] As an example, the control system includes: an on-board camera module 1, a navigation module 2, an on-board controller 3, a millimeter-wave radar module 4 and a DLP photography module 5; the on-board camera module 1 is installed inside the vehicle and is used to capture the driver's gesture information and line of sight information in real time; the on-board controller 3 is integrated with an image processing module 300 and a control module 310; the image processing module 300 is used to analyze and identify the received driver's gesture information and line of sight information, and convert the identification result into a corresponding control instruction and send it to the control module 310; the millimeter-wave radar module 4 is used to detect the vehicle's surrounding environment information, and judge whether there is an object in front of the vehicle based on the vehicle's surrounding environment information. If there is a dangerous target, a corresponding control instruction is sent to the control module 310 based on the judgment result; the navigation module 2 is used to send navigation information to the control module 310 when the vehicle starts the navigation function; the control module 310 is used to fuse the control instructions sent by the image processing module 300, the control instructions sent by the millimeter wave radar module 4 and the navigation information sent by the navigation module 1 based on the preset algorithm, rule library and gesture library, and generate a corresponding control instruction and send it to the DLP photography module 5; the DLP photography module 5 is used to project the corresponding projection information to the front of the vehicle based on the control instruction received from the control module 310.

[0034] In some feasible embodiments, in combination with Figure 2As shown, the DLP projection module 5 is installed inside the car headlight to ensure that the projection direction and angle can accurately project information onto the road surface in front of the vehicle. After the installation is completed, optical debugging is performed to ensure the clarity and accuracy of the projected image. The millimeter-wave radar module 4 is cleverly integrated inside the front grille of the vehicle and deeply integrated with the radiator grille structure. This innovative design not only effectively avoids the shielding and interference of metal parts on the radar signal, ensures the stable transmission and reception of radar signals, but also realizes the compact layout of radar hardware at the front end of the vehicle without affecting the overall appearance and aerodynamic performance of the vehicle. During the installation process, the installation angle of the millimeter-wave radar is finely adjusted through a high-precision angle adjustment device, and its horizontal inclination can be flexibly adjusted within the range of ±5°, and the vertical inclination is controlled downward between 2-3°. The millimeter-wave radar, after precise calibration, can achieve high-precision detection with a coverage range of 200 meters ± 5 centimeters, and has a wide horizontal field of view of 120°, so that it can detect environmental information around the vehicle in all directions and in real time with high precision, including key parameters such as the distance, speed and angle of the vehicles, pedestrians and obstacles ahead, and is not affected by adverse weather conditions such as light, rain, fog, and dust, providing reliable data support for the intelligent decision-making of the vehicle. The in-vehicle camera module 1 uses an advanced near-infrared (NIR) enhanced CMOS sensor, which has extremely high sensitivity to near-infrared light sources with a wavelength of 850 nm and can achieve clear image capture in low-light environments. Its focal length range is designed as a wide-angle lens of 3-8mm, which can fully cover the driver's upper body and gesture activity area, ensuring a complete record of the driver's various movements and postures. The camera adopts a hidden design and is cleverly installed inside the sun visor above the dashboard, which does not affect the driver's field of vision and ensures the beauty and concealment of the equipment. At the same time, it is equipped with an adjustable gimbal structure, which has flexible angle adjustment capabilities. The pitch angle can be freely adjusted within the range of ±15°, and the yaw angle can be precisely controlled within the range of ±10°. It can quickly adapt and adjust to the optimal shooting angle and focal length according to the height, sitting posture and driving habits of different drivers, ensuring that the driver's gestures and changes in line of sight can be captured clearly and accurately.

[0035] In some feasible implementations, the image processing module 300 is used to use a convolutional neural network algorithm to identify the received gesture information to obtain a specific gesture made by the driver, and convert the recognition result into a corresponding gesture control instruction and send it to the control module; and to use a line of sight tracking technology to identify the received line of sight information to obtain the driver's pupil position and head posture recognition results, and judge whether the driver's attention deviates from the road surface based on the recognition result, and send a first control instruction to the control module 310 when it is judged that the driver's attention deviates from the road surface, and send a second control instruction to the control module 310 when it is judged that the driver's attention does not deviate from the road surface. Wherein, the control module 310 is used to search for the corresponding DLP projection control instruction in a preset gesture library based on the received gesture control instruction; refer to the following Table 1, which is a gesture instruction mapping table, and the DLP projection control instruction includes a DLP projection switch control instruction, a DLP projection mode switching instruction, and a DLP projection brightness adjustment instruction.

[0036] Table 1:

[0037] Specifically, the in-vehicle camera module 1 captures the driver's gestures and changes in the direction of sight in real time, and transmits the collected image data to the image processing module 300. The image processing module 300 uses an advanced convolutional neural network (CNN) algorithm to perform deep learning and pattern recognition on the driver's gestures. By establishing a rich gesture sample library and an efficient recognition model, it can accurately recognize various specific gestures made by the driver, such as fisting, five fingers open, waving, etc., and convert the recognition results into corresponding control instructions and send them to the control module 310. The control module 310 is used to search for the corresponding DLP projection control instructions in the preset gesture library based on the received gesture control instructions. For example, fisting means turning off the DLP projection; five fingers open means turning on the DLP projection, the default is standard mode, and the brightness is 80%; waving to the left means switching to the previous DLP projection mode; waving to the right means switching to the next DLP projection mode; waving upwards means increasing the brightness of the DLP projection by 20%, up to 100%; waving downwards means reducing the brightness of the DLP projection by 20%, down to 40%.

[0038] In some feasible implementations, the control module 310 is used to start timing based on the received first control instruction, stop timing when the second control instruction is received, and generate a DLP projection brightness adjustment instruction based on the timing duration. Specifically, the image processing module 300 also uses advanced line of sight tracking technology to determine whether the driver's attention is deviated from the road surface by accurately locating the driver's pupil position and estimating the head posture in real time. When it is detected that the driver's attention is deviated, the analysis results are sent to the control module 310, and the control module 310 adopts different response strategies according to the length of the deviation time. For example, when the deviation time is greater than 2s, the brightness of the DLP projection is automatically increased to attract the driver's attention. When the time is greater than 5s, a continuous sound prompt is issued until the line of sight returns to the road surface and the original setting is restored.

[0039] In some feasible implementations, when the vehicle starts the navigation function, the navigation module 2 first parses and processes the navigation data to extract key navigation information, such as navigation arrow indications, turn prompts, speed limit prompts, etc. This information is transmitted to the control module 310. The control module 310, as the core decision-making unit of the system, further analyzes and integrates the received navigation information and forwards it to the DLP projection module 5. The DLP projection module 5 accurately controls the flipping action of the micro-mirror on the DLP chip according to the received control instructions, and projects the navigation information in the form of clear and intuitive images onto the road in front of the vehicle through the light focusing and projection of the optical lens, so that the driver can obtain navigation instructions in real time without shifting his sight, which greatly improves the convenience and safety of navigation during driving.

[0040] In some feasible implementations, the millimeter wave radar module 4 is used to send a corresponding human projection control instruction or obstacle projection control instruction to the control module 310 when a dangerous target is identified in front of the vehicle. The control module 310 is used to control the DLP projection module to project a human warning sign on the ground in front of the vehicle based on the received human projection control instruction, and to control the DLP projection module to project an obstacle warning sign on the ground in front of the vehicle based on the received obstacle projection control instruction. Specifically, the millimeter wave radar continuously emits millimeter wave signals and receives signals reflected from surrounding objects during continuous operation. Through accurate analysis and processing of the reflected signal, the existence, position, and motion state of target objects such as pedestrians and obstacles in front can be detected in real time and accurately. Once a potential dangerous target is detected, the millimeter wave radar immediately sends the relevant information to the control module 310, and the control module 310 responds quickly, instructing the DLP projection module 5 to project corresponding warning information on the road surface in front of the vehicle, such as a flashing human icon, an obstacle icon, etc., to promptly remind the driver to pay attention to avoidance, effectively reducing the risk of collision accidents.

[0041] In some feasible implementations, the control module 310 is pre-burned with an information fusion algorithm, a decision algorithm, and a projection content generation and control algorithm; the information fusion algorithm is used to use a Kalman filter algorithm to fuse data sent by the vehicle camera module, navigation module, millimeter wave radar module, and image processing module; the decision algorithm is used to use a fuzzy logic algorithm to infer multiple input variables sent by the vehicle camera module, navigation module, millimeter wave radar module, and image processing module according to preset fuzzy rules to obtain a projection decision result; the projection content generation and control algorithm is used to use a content selection algorithm to determine the DLP projection content based on the projection decision result, and use a projection parameter adjustment algorithm to adjust the DLP projection brightness based on the projection decision result. The control module 310 is used to use a content selection algorithm to generate a projection content instruction based on the projection decision result; use a projection parameter adjustment algorithm to generate a DLP projection brightness adjustment instruction based on the projection decision result; and generate a DLP projection switch control instruction and a DLP projection mode switching instruction based on the decision result. Specifically, since the information received by the control module 310 is the information input by multiple modules, it is necessary to use a specific algorithm to fuse the multiple input information to ensure the accuracy of the output instructions of the control module 310 and avoid the overlap of projections caused by the separate processing of different instructions. More specifically, the information fusion algorithm: the information types and formats from the navigation module, millimeter wave radar, image processing module and other vehicle systems are different. In order to effectively process this information, the Kalman filter algorithm or its extended form, such as the extended Kalman filter (EKF) and the unscented Kalman filter (UKF), is used. These algorithms can fuse the measurement data of different sensors, remove noise interference, and improve data accuracy and reliability. For example, the millimeter wave radar detects the distance and speed of the vehicle in front. Combined with the road information provided by the navigation module, the Kalman filter algorithm can be used to more accurately predict the driving trajectory of the vehicle in front, providing a basis for subsequent decision-making. Decision algorithm: Based on the fused information, the system needs to make a decision to control the DLP projection module 5. Using the fuzzy logic algorithm, according to multiple input variables (such as vehicle speed, distance of obstacles in front, driver's attention status, navigation information, etc.), reasoning is carried out according to preset fuzzy rules to make a reasonable decision. For example, when the vehicle speed is high, the navigation projection information is straight, the distance to the obstacle ahead is close, and the driver is not paying attention, the fuzzy logic algorithm will determine that the driving risk is high at this time. Based on this decision, the control module 310 allows the DLP projection module 5 to highlight the obstacle projection warning information on the road surface and increase the projection brightness to attract the driver's attention. Projection content generation and control algorithm: Content selection algorithm: Determine the projection content according to different driving scenarios and user needs. For example, in the navigation scenario, based on the route information provided by the navigation module, the path planning algorithm is used to determine the projected navigation arrows, turn prompts and other content; when pedestrians or obstacles are detected, the corresponding warning icon is selected for projection based on the millimeter wave radar data.Projection parameter adjustment algorithm: adjust the DLP projection module parameters according to factors such as ambient lighting conditions, vehicle speed, and driver interaction instructions. For example, according to the driver's upward or downward waving gesture instructions, the projection brightness is increased or decreased by 20% according to the preset brightness adjustment algorithm. In this way, the preset algorithms and rules in the control module 310 not only improve the image projected by the DLP projection module to be more in line with the actual requirements of the user, but also avoid the overlap of multiple projected images through the setting of priorities.

[0042] In some feasible implementations, the DLP photography module 5 integrates a light source array, a DLP chip and an optical lens; the DLP chip integrates a micro-mirror array, which is used to realize image projection by controlling the flipping of the mirror based on the control instructions sent by the control module; the light source array adopts an LED light array to provide sufficient light for projection; the optical lens is used to focus and shape the light to ensure the clarity and accuracy of the image projected on the road surface.

[0043] In some feasible embodiments, in combination with Figure 3 As shown, the present embodiment designs two main DLP projection modes, namely energy-saving and standard, to meet different driving scenarios and user needs. The energy-saving projection mode includes a primary sign, which is mainly used to display basic navigation instructions, such as going straight, turning left, turning right, turning left, turning right, driving into the left front, driving into the right front, etc., to provide the driver with basic driving direction guidance in a concise and clear manner. The standard projection mode, based on the primary sign, further includes a secondary sign, which is used to display richer driving assistance information, such as speed limit, speed limit release, pedestrians, obstacles, etc. Among them, the speed limit sign will automatically start flashing when the vehicle is speeding, reminding the driver to slow down with a strong visual signal. When the speed returns to below the speed limit, the flashing will automatically cancel; when the speed is equal to X km / h, such as the vehicle in front of If pedestrians or obstacles appear in front of the vehicle, the system will immediately issue an early warning and remind the driver to take corresponding safety measures in time by projecting warning icons and related prompt information.

[0044] In some feasible implementations, the control module 310 performs fusion processing on the control instructions sent by the image processing module 300, the control instructions sent by the millimeter wave radar module 4, and the navigation information sent by the navigation module 2 based on the preset algorithm, rule library, and gesture library, and generates corresponding control instructions and sends them to the DLP photography module 5. It also includes: Icon display mode instruction: Control the display mode of the warning icon, including icon size, color, flashing frequency, etc. For example, for targets that are close and have a high degree of danger, the control module may instruct the DLP projection module to display the warning icon in a larger size, eye-catching color (such as red) and high-frequency flashing; for targets that are far away and have a relatively low degree of danger, it is displayed in a smaller size, normal color, and lower flashing frequency. Projection position instruction: Determine the projection position of the warning icon on the road surface so that it is in a more obvious area in the driver's field of vision to ensure that the driver can see it quickly. For example, project the icon at a suitable distance in front of the vehicle to avoid being ignored due to improper projection position. Projection duration instruction: Control the projection duration of the DLP photography module 5 according to the situation of the dangerous target and the driver's reaction. For example, when there is still a certain distance to a turning intersection, the projection of the turning prompt is turned on in advance and turned off in time after the vehicle passes the intersection; for speed limit prompts, the projection display continues when the vehicle is driving on the speed limit section, and the projection stops when the vehicle leaves the section.

[0045] In the above-mentioned implementation, the car lighting system can project navigation arrows, speed limit signs, and pedestrian warnings on the road surface according to the navigation content and the information obtained by the millimeter-wave radar, and can adjust the lighting mode by driver gesture recognition and line of sight tracking through the built-in camera in the car. This system can improve driving safety. By projecting navigation arrows, speed limit signs, and pedestrian warning information on the road surface, the driver does not need to frequently check the on-board display screen, and can focus more on the road ahead, reducing traffic accidents caused by distracted driving. At the same time, adjusting the projection mode according to the driver's gestures and line of sight can provide lighting that better meets the driver's needs and improve the safety of night driving. In addition, the system enhances the driving experience, personalized information projection, and intelligent light mode adjustment, bringing drivers a more convenient, comfortable, and personalized driving experience, meeting the needs of modern consumers for intelligent and humanized cars.

[0046] It is worth mentioning that all modules involved in this embodiment are logical units. In practical applications, a logical unit can be a physical unit, a part of a physical unit, or a combination of multiple physical units. In addition, in order to highlight the innovative part of the present invention, this embodiment does not introduce units that are not closely related to solving the technical problem proposed by the present invention, but this does not mean that there are no other units in this embodiment.

[0047] Example 2 See also Figure 4 , which is a flow chart of a method for controlling automobile lights based on DLP projection provided in an embodiment of the present invention.

[0048] As an example, the method is applied to the automobile light control system based on DLP projection described in Example 1, and the method includes: S1. Capture the driver's gesture information and sight information in real time through the vehicle-mounted camera module.

[0049] S2. Analyze and identify the received driver's gesture information and sight line information through the image processing module, and convert the identification result into a corresponding control instruction and send it to the control module.

[0050] S3. Detecting the vehicle's surrounding environment information through the millimeter wave radar module, and judging whether there is a dangerous target in front of the vehicle based on the vehicle's surrounding environment information, and sending a corresponding control instruction to the control module based on the judgment result.

[0051] S4. When the vehicle starts the navigation function, the navigation information is sent to the control module through the navigation module.

[0052] S5. The control module integrates the control instructions sent by the image processing module, the control instructions sent by the millimeter-wave radar module and the navigation information sent by the navigation module based on the preset algorithm, rule library and gesture library, and generates corresponding control instructions and sends them to the DLP photography module.

[0053] S6. The DLP photography module projects the corresponding projection information to the front of the vehicle based on the control instruction sent by the control module.

[0054] It is not difficult to find that this embodiment is a method embodiment corresponding to the first embodiment, and this embodiment can be implemented in conjunction with the first embodiment. The relevant technical details mentioned in the first embodiment are still valid in this embodiment, and in order to reduce repetition, they are not repeated here. Accordingly, the relevant technical details mentioned in this embodiment can also be applied in the first embodiment.

[0055] Example 3 The embodiment of the present invention further provides a storage medium, on which a method for controlling automobile lights based on DLP projection is stored, and when the program for controlling automobile lights based on DLP projection is executed by a processor, the steps of the method for controlling automobile lights based on DLP projection as described above are implemented. Since the storage medium adopts all the technical solutions of all the above embodiments, it has at least all the beneficial effects brought by the technical solutions of the above embodiments, which will not be described one by one here.

[0056] Example 4 See also Figure 5 An embodiment of the present invention further provides an electronic device, comprising: a memory and a processor; the memory stores at least one program instruction; the processor implements the automobile headlight control method based on DLP projection provided in Example 2 by loading and executing the at least one program instruction.

[0057] The memory 702 and the processor 701 are connected in a bus manner, and the bus may include any number of interconnected buses and bridges, and the bus connects various circuits of one or more processors 701 and the memory 702 together. The bus can also connect various other circuits such as peripheral devices, voltage regulators, and power management circuits, which are well known in the art and are therefore not further described herein. The bus interface provides an interface between the bus and the transceiver. The transceiver can be one element or multiple elements, such as multiple receivers and transmitters, providing a unit for communicating with various other devices on a transmission medium. The data processed by the processor 701 is transmitted on a wireless medium via an antenna, and further, the antenna also receives data and transmits the data to the processor 701.

[0058] The processor 701 is responsible for managing the bus and general processing, and can also provide various functions, including timing, peripheral interfaces, voltage regulation, power management and other control functions. The memory 702 can be used to store data used by the processor 701 when performing operations.

[0059] The above is only an embodiment of the present invention. The common sense such as the known specific structure and characteristics in the scheme is not described in detail here. The ordinary technicians in the relevant field know all the common technical knowledge in the technical field of the invention before the application date or priority date, can know all the existing technologies in the field, and have the ability to apply the conventional experimental means before that date. The ordinary technicians in the relevant field can improve and implement this scheme in combination with their own abilities under the enlightenment given by this application. Some typical known structures or known methods should not become obstacles for ordinary technicians in the relevant field to implement this application. It should be pointed out that for those skilled in the art, without departing from the structure of the present invention, several deformations and improvements can be made, which should also be regarded as the scope of protection of the present invention, which will not affect the effect of the implementation of the present invention and the practicality of the patent. The scope of protection required by this application shall be based on the content of its claims, and the specific implementation methods and other records in the specification can be used to interpret the content of the claims.

Claims

1. A car light control system based on DLP projection, characterized in that: The control system includes: a vehicle-mounted camera module, a navigation module, a vehicle-mounted controller, a millimeter-wave radar module and a DLP photography module; The vehicle-mounted camera module is installed inside the vehicle and is used to capture the driver's gesture information and sight information in real time; The vehicle-mounted controller is integrated with an image processing module and a control module; The image processing module is used to analyze and identify the received gesture information and sight line information of the driver, and convert the identification result into a corresponding control instruction and send it to the control module; The millimeter wave radar module is used to detect the vehicle's surrounding environment information, and judge whether there is a dangerous target in front of the vehicle based on the vehicle's surrounding environment information, and send a corresponding control instruction to the control module based on the judgment result; The navigation module is used to send navigation information to the control module when the vehicle starts the navigation function; The control module is used to perform fusion processing on the control instructions sent by the image processing module, the control instructions sent by the millimeter wave radar module and the navigation information sent by the navigation module based on the preset algorithm, rule library and gesture library, and generate corresponding control instructions and send them to the DLP photography module; The DLP photography module is used to project corresponding projection information to the front of the vehicle based on the control instruction sent by the control module.

2. The automobile light control system based on DLP projection according to claim 1, characterized in that: The image processing module is used to use a convolutional neural network algorithm to identify the received gesture information to obtain a specific gesture made by the driver, and convert the recognition result into a corresponding gesture control instruction and send it to the control module; as well as It is used to use gaze tracking technology to identify the received gaze information to obtain the driver's pupil position and head posture recognition results, and judge whether the driver's attention deviates from the road based on the recognition results. When it is judged that the driver's attention deviates from the road, a first control instruction is sent to the control module; when it is judged that the driver's attention does not deviate from the road, a second control instruction is sent to the control module.

3. The automobile light control system based on DLP projection according to claim 2, characterized in that: The control module is used to search for a corresponding DLP projection control instruction in a preset gesture library based on the received gesture control instruction; The DLP projection control instructions include DLP projection switch control instructions, DLP projection mode switching instructions and DLP projection brightness adjustment instructions.

4. The automobile light control system based on DLP projection according to claim 2, characterized in that: The control module is used to start timing based on a received first control instruction, stop timing when a second control instruction is received, and generate a DLP projection brightness adjustment instruction based on the timing duration.

5. The automobile light control system based on DLP projection according to claim 1, characterized in that: The millimeter wave radar module is used to send a corresponding human projection control instruction or obstacle projection control instruction to the control module when a dangerous target is identified in front of the vehicle.

6. The automobile light control system based on DLP projection according to claim 5, characterized in that: The control module is used to control the DLP projection module to project a human-shaped warning sign onto the ground in front of the vehicle based on the received human-shaped projection control instruction, and to control the DLP projection module to project an obstacle warning sign onto the ground in front of the vehicle based on the received obstacle projection control instruction.

7. The automobile light control system based on DLP projection according to claim 1, characterized in that: The control module is pre-burned with an information fusion algorithm, a decision algorithm, and a projection content generation and control algorithm; The information fusion algorithm is used to use the Kalman filter algorithm to fuse the data sent by the vehicle camera module, the navigation module, the millimeter wave radar module and the image processing module; The decision algorithm is used to use a fuzzy logic algorithm to infer multiple input variables sent by the vehicle camera module, the navigation module, the millimeter wave radar module and the image processing module according to preset fuzzy rules to obtain a projection decision result; The projection content generation and control algorithm is used to adopt a content selection algorithm to determine the DLP projection content based on the projection decision result, and adopt a projection parameter adjustment algorithm to adjust the DLP projection brightness based on the projection decision result.

8. The automobile light control system based on DLP projection according to claim 7, characterized in that: The control module is used to generate a projection content instruction based on the projection decision result by using a content selection algorithm; generate a DLP projection brightness adjustment instruction based on the projection decision result by using a projection parameter adjustment algorithm; and A DLP projection switch control instruction and a DLP projection mode switching instruction are generated based on the decision result.

9. The automobile light control system based on DLP projection according to claim 1, characterized in that: The DLP photography module integrates a light source array, a DLP chip and an optical lens; The DLP chip integrates a micro-mirror array, which is used to realize image projection by controlling the flipping of the mirror based on the control instruction sent by the control module; The light source array adopts an LED light array to provide sufficient light for projection; The optical lens is used to focus and shape the light to ensure the clarity and accuracy of the image projected on the road surface.

10. A method for controlling automobile lights based on DLP projection, the method being applied to the automobile light control system based on DLP projection as claimed in any one of claims 1 to 9, characterized in that: The method comprises: The driver's gesture and sight information are captured in real time through the vehicle camera module; The image processing module analyzes and identifies the received gesture information and sight information of the driver, and converts the identification result into a corresponding control instruction and sends it to the control module; Detecting the vehicle's surrounding environment information through the millimeter wave radar module, and judging whether there is a dangerous target in front of the vehicle based on the vehicle's surrounding environment information, and sending a corresponding control instruction to the control module based on the judgment result; When the vehicle starts the navigation function, the navigation information is sent to the control module through the navigation module; The control module performs fusion processing on the control instructions sent by the image processing module, the control instructions sent by the millimeter wave radar module and the navigation information sent by the navigation module based on the preset algorithm, rule library and gesture library, and generates corresponding control instructions and sends them to the DLP photography module; The DLP photography module projects the corresponding projection information to the front of the vehicle based on the control instruction sent by the control module.

Images