HUD adjusting method, device and equipment based on sitting posture human eyes and storage medium

Abstract

The invention discloses an HUD adjustment method, device and equipment based on sitting posture human eyes and a storage medium, and the method comprises the steps: obtaining sensor data read by each sensor when detecting that a current vehicle is started; according to the sensor data and the height information of the current driver, determining the sitting posture data of the current driver and an estimated human eye viewpoint; and generating an HUD adjustment parameter according to the sitting posture data and the estimated human eye viewpoint, and adjusting a display area of the HUD according to the HUD adjustment parameter, so that the accuracy of HUD adjustment can be improved, additional equipment does not need to be added, the development cost of the whole vehicle is reduced, the driving experience is improved, and the speed and efficiency of HUD adjustment are improved.

Description

Technical Field

[0001] The present invention relates to the field of HUD adjustment technology, and in particular to a HUD adjustment method, device, equipment and storage medium based on sitting human eyes. Background Art

[0002] Head Up Display (HUD) technology was first used in airplanes and gradually became popular in cars after 2003. The reason why HUD is being applied to cars by more and more manufacturers is that with the increase in car functions, more and more information is displayed on the dashboard. During driving, you need to look down from time to time to check the dashboard or central control screen information, which leads to short-term blind driving and is not conducive to driving safety. HUD displays information on the car's front windshield, thus avoiding such problems.

[0003] The main functions of HUD are as follows in order of importance: 1. Good navigation information display and experience; 2. Display of answering and rejecting incoming calls while driving; 3. Display of vehicle speed and rotation speed, so that the driver can understand important driving information without lowering his head; these 3 points can greatly improve driving safety; 4. Other auxiliary information brings better driving experience to the owner and improves the purpose of safe driving, according to the imaging method and imaging content.

[0004] Currently, there are three product forms in the automotive industry: Combiner Head Up Display (C-HUD), Windshield Head Up Display (W-HUD) and Augmented Reality Head Up Display (AR-HUD).

[0005] Among them, the C-HUD solution uses projection materials (such as resin plates). Due to its small imaging area and limited display content; the imaging distance is short and the position is low. The projection material placed above the instrument panel may cause secondary injuries to the driver in the event of a vehicle collision, which is not conducive to in-vehicle safety. Therefore, C-HUD is gradually being marginalized.

[0006] The other two methods use the windshield as the projection medium. W-HUD uses the windshield as the projection medium to reflect the image, which can support a larger imaging area and a longer projection distance. AR-HUD uses the windshield as the projection medium to reflect the image, uses an enhanced projection surface, and generates image elements through digital micromirror elements. At the same time, the image on the imaging screen is finally projected onto the windshield through a reflector, so that the enhanced display information can be directly projected onto the road in the user's field of view, so that the display information can be integrated with the traffic conditions.

[0007] Existing HUD adjustment information requires reading the driver's posture information or the position of the human eyes. Most solutions on the market are to add a camera in the cab to capture the driver's facial image for analysis to derive the specific position of the human eyes. Additional camera peripherals increase the cost of the entire vehicle, and the extra peripherals increase the chance of failure. Summary of the invention

[0008] The main purpose of the present invention is to provide a HUD adjustment method, device, equipment and storage medium based on sitting human eyes, aiming to solve the technical problems in the prior art that HUD adjustment information relies on additional cameras to collect the driver's facial image, which increases the cost of the entire vehicle and the additional peripherals increase the probability of failure.

[0009] In a first aspect, the present invention provides a HUD adjustment method based on sitting human eyes, the HUD adjustment method based on sitting human eyes comprising the following steps:

[0010] When it is detected that the current vehicle is started, the sensor data read by each sensor is obtained;

[0011] Determine the sitting posture data and estimated eye viewpoint of the current driver according to the sensor data and the height information of the current driver;

[0012] A HUD adjustment parameter is generated according to the sitting posture data and the estimated human eye viewpoint, and a display area of ​​the HUD is adjusted according to the HUD adjustment parameter.

[0013] Optionally, when detecting that the current vehicle is started, obtaining sensor data read by each sensor includes:

[0014] When the current vehicle is detected to be started, the driving computer of the current vehicle obtains the left exterior rearview mirror direction angle from the left exterior rearview mirror sensor, obtains the right exterior rearview mirror direction angle from the right exterior rearview mirror sensor, obtains the interior rearview mirror direction angle from the interior rearview mirror sensor, obtains the current posture of the seat from the seat sensor, and obtains the current projection angle and imaging area of ​​the HUD from the HUD sensor;

[0015] The left exterior rearview mirror direction angle, the right exterior rearview mirror direction angle, the interior rearview mirror direction angle, the current seat posture, the current HUD projection angle and the imaging area are used as sensor data.

[0016] Optionally, determining the sitting posture data and estimated eye viewpoint of the current driver according to the sensor data and the height information of the current driver includes:

[0017] Acquire the height information of the current driver, and determine a preset human eye model position matching the current driver according to the height information;

[0018] The current driver's sitting posture data and estimated eye viewpoint are determined according to the sensor data and the preset eye model position.

[0019] Optionally, determining the current driver's sitting posture data and estimated human eye viewpoint according to the sensor data and the preset human eye model position includes:

[0020] Determining the current driver's sitting posture data according to the current seat posture and the height information in the sensor data;

[0021] Compare the left exterior rearview mirror direction angle, the right exterior rearview mirror direction angle and the interior rearview mirror direction angle in the sensor data with the posture angle of the preset human eye model position to obtain an angle change value;

[0022] Obtaining a preset distance between the preset human eye model position and the center point of each rearview mirror, and calculating a human eye offset according to the angle change value and the preset distance;

[0023] The preset human eye model position is adjusted according to the human eye offset to obtain an estimated human eye viewpoint.

[0024] Optionally, generating a HUD adjustment parameter according to the sitting posture data and the estimated human eye viewpoint, and adjusting a display area of ​​the HUD according to the HUD adjustment parameter includes:

[0025] The HUD sensor is used to obtain the current position of the HUD operating mechanism, and the projection area of ​​the current HUD projection angle on the front windshield is calculated according to the position of the mechanism;

[0026] Determining whether the current driver's field of vision is an optimal field of vision according to the estimated human eye viewpoint and the projection area;

[0027] When the visual field is not an optimal visual field, obtaining a HUD adjustment parameter corresponding to the sitting posture data and the estimated human eye viewpoint;

[0028] The display area of ​​the HUD is adjusted according to the HUD adjustment parameter.

[0029] Optionally, adjusting the display area of ​​the HUD according to the HUD adjustment parameter includes:

[0030] Determining a predetermined imaging area according to the HUD adjustment parameter;

[0031] The current HUD operating mechanism movement is adjusted according to the HUD adjustment parameter until the display area of ​​the HUD matches the predetermined imaging area.

[0032] Optionally, after generating a HUD adjustment parameter according to the sitting posture data and the estimated human eye viewpoint, and adjusting the display area of ​​the HUD according to the HUD adjustment parameter, the HUD adjustment method based on sitting posture human eyes further includes:

[0033] The current driver is reminded to confirm the current adjustment result through images or sounds.

[0034] In a second aspect, in order to achieve the above-mentioned purpose, the present invention further proposes a HUD adjustment device based on sitting human eyes, the HUD adjustment device based on sitting human eyes comprising:

[0035] A data acquisition module is used to acquire sensor data read by each sensor when detecting that the current vehicle is started;

[0036] A sitting posture human eye determination module, used to determine the sitting posture data and estimated human eye viewpoint of the current driver according to the sensor data and the height information of the current driver;

[0037] The HUD adjustment module is used to generate HUD adjustment parameters according to the sitting posture data and the estimated human eye viewpoint, and adjust the display area of ​​the HUD according to the HUD adjustment parameters.

[0038] In the third aspect, to achieve the above-mentioned purpose, the present invention also proposes a HUD adjustment device based on sitting human eyes, wherein the HUD adjustment device based on sitting human eyes comprises: a memory, a processor, and a HUD adjustment program based on sitting human eyes stored in the memory and executable on the processor, wherein the HUD adjustment program based on sitting human eyes is configured to implement the steps of the HUD adjustment method based on sitting human eyes as described above.

[0039] In a fourth aspect, in order to achieve the above-mentioned purpose, the present invention also proposes a storage medium, on which a HUD adjustment program based on sitting human eyes is stored, and when the HUD adjustment program based on sitting human eyes is executed by a processor, the steps of the HUD adjustment method based on sitting human eyes as described above are implemented.

[0040] The HUD adjustment method based on sitting human eyes proposed in the present invention obtains sensor data read by each sensor when detecting that the current vehicle is started; determines the sitting posture data and estimated human eye viewpoint of the current driver according to the sensor data and the height information of the current driver; generates HUD adjustment parameters according to the sitting posture data and the estimated human eye viewpoint, and adjusts the display area of ​​the HUD according to the HUD adjustment parameters, which can improve the accuracy of HUD adjustment, does not require the addition of additional equipment, reduces the cost of vehicle development, improves driving experience, and improves the speed and efficiency of HUD adjustment. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 A schematic diagram of the device structure of the hardware operating environment involved in the embodiment of the present invention;

[0042] Figure 2 It is a flow chart of the first embodiment of the HUD adjustment method based on sitting human eyes of the present invention;

[0043] Figure 3 It is a flow chart of a second embodiment of the HUD adjustment method based on sitting human eyes of the present invention;

[0044] Figure 4 It is a flow chart of a third embodiment of the HUD adjustment method based on sitting human eyes of the present invention;

[0045] Figure 5 It is a flowchart of a fourth embodiment of the HUD adjustment method based on sitting human eyes of the present invention;

[0046] Figure 6 It is a schematic diagram of the HUD operation principle in the HUD adjustment method based on the sitting human eyes of the present invention;

[0047] Figure 7 It is a flowchart of a fifth embodiment of the HUD adjustment method based on sitting human eyes of the present invention;

[0048] Figure 8 It is a logic flow chart of HUD adjustment control in the HUD adjustment method based on sitting human eyes of the present invention;

[0049] Fig. 9 This is a functional module diagram of the first embodiment of the HUD adjustment device based on the sitting human eye of the present invention.

[0050] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0051] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0052] The solution of the embodiment of the present invention is mainly: by acquiring sensor data read by each sensor when detecting that the current vehicle is started; determining the sitting posture data and estimated human eye viewpoint of the current driver according to the sensor data and the height information of the current driver; generating HUD adjustment parameters according to the sitting posture data and the estimated human eye viewpoint, and adjusting the display area of ​​the HUD according to the HUD adjustment parameters, which can improve the accuracy of HUD adjustment, does not require additional equipment, reduces the probability of failure of peripherals, reduces the cost of vehicle development, improves driving experience, and improves the speed and efficiency of HUD adjustment, and solves the technical problem in the prior art that HUD adjustment information relies on additional cameras to collect the driver's facial image, which increases the cost of the vehicle and the additional peripherals increase the probability of failure.

[0053] Reference Figure 1 , Figure 1 The figure is a schematic diagram of the device structure of the hardware operating environment involved in the embodiment of the present invention.

[0054] like Figure 1 As shown, the device may include: a processor 1001, such as a CPU, a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Among them, the communication bus 1002 is used to realize the connection and communication between these components. The user interface 1003 may include a display screen (Display), an input unit such as a keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface and a wireless interface. The network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a Wi-Fi interface). The memory 1005 may be a high-speed RAM memory, or it may be a stable memory (Non-Volatile Memory), such as a disk memory. The memory 1005 may optionally be a storage device independent of the aforementioned processor 1001.

[0055] Those skilled in the art will understand that Figure 1 The device structure shown in the figure does not constitute a limitation of the device, and may include more or less components than shown in the figure, or combine certain components, or arrange the components differently.

[0056] like Figure 1 As shown, the memory 1005 as a storage medium may include an operating device, a network communication module, a user interface module, and a HUD adjustment program based on sitting human eyes.

[0057] The device of the present invention calls the HUD adjustment program based on the sitting human eyes stored in the memory 1005 through the processor 1001, and performs the following operations:

[0058] When it is detected that the current vehicle is started, the sensor data read by each sensor is obtained;

[0059] Determine the sitting posture data and estimated eye viewpoint of the current driver according to the sensor data and the height information of the current driver;

[0060] A HUD adjustment parameter is generated according to the sitting posture data and the estimated human eye viewpoint, and a display area of ​​the HUD is adjusted according to the HUD adjustment parameter.

[0061] The device of the present invention calls the HUD adjustment program based on the sitting human eye stored in the memory 1005 through the processor 1001, and also performs the following operations:

[0062] When the current vehicle is detected to be started, the driving computer of the current vehicle obtains the left exterior rearview mirror direction angle from the left exterior rearview mirror sensor, obtains the right exterior rearview mirror direction angle from the right exterior rearview mirror sensor, obtains the interior rearview mirror direction angle from the interior rearview mirror sensor, obtains the current posture of the seat from the seat sensor, and obtains the current projection angle and imaging area of ​​the HUD from the HUD sensor;

[0063] The left exterior rearview mirror direction angle, the right exterior rearview mirror direction angle, the interior rearview mirror direction angle, the current seat posture, the current HUD projection angle and the imaging area are used as sensor data.

[0064] The device of the present invention calls the HUD adjustment program based on the sitting human eye stored in the memory 1005 through the processor 1001, and also performs the following operations:

[0065] Acquire the height information of the current driver, and determine a preset human eye model position matching the current driver according to the height information;

[0066] The current driver's sitting posture data and estimated eye viewpoint are determined according to the sensor data and the preset eye model position.

[0067] The device of the present invention calls the HUD adjustment program based on the sitting human eye stored in the memory 1005 through the processor 1001, and also performs the following operations:

[0068] Determining the current driver's sitting posture data according to the current seat posture and the height information in the sensor data;

[0069] Compare the left exterior rearview mirror direction angle, the right exterior rearview mirror direction angle and the interior rearview mirror direction angle in the sensor data with the posture angle of the preset human eye model position to obtain an angle change value;

[0070] Obtaining a preset distance between the preset human eye model position and the center point of each rearview mirror, and calculating a human eye offset according to the angle change value and the preset distance;

[0071] The preset human eye model position is adjusted according to the human eye offset to obtain an estimated human eye viewpoint.

[0072] The device of the present invention calls the HUD adjustment program based on the sitting human eye stored in the memory 1005 through the processor 1001, and also performs the following operations:

[0073] The HUD sensor is used to obtain the current position of the HUD operating mechanism, and the projection area of ​​the current HUD projection angle on the front windshield is calculated according to the position of the mechanism;

[0074] Determining whether the current driver's field of vision is an optimal field of vision according to the estimated human eye viewpoint and the projection area;

[0075] When the visual field is not an optimal visual field, obtaining a HUD adjustment parameter corresponding to the sitting posture data and the estimated human eye viewpoint;

[0076] The display area of ​​the HUD is adjusted according to the HUD adjustment parameter.

[0077] The device of the present invention calls the HUD adjustment program based on the sitting human eye stored in the memory 1005 through the processor 1001, and also performs the following operations:

[0078] Determining a predetermined imaging area according to the HUD adjustment parameter;

[0079] The current HUD operating mechanism movement is adjusted according to the HUD adjustment parameter until the display area of ​​the HUD matches the predetermined imaging area.

[0080] The device of the present invention calls the HUD adjustment program based on the sitting human eye stored in the memory 1005 through the processor 1001, and also performs the following operations:

[0081] The current driver is reminded to confirm the current adjustment result through images or sounds.

[0082] Through the above scheme, this embodiment obtains sensor data read by each sensor when detecting that the current vehicle is started; determines the sitting posture data and estimated human eye viewpoint of the current driver according to the sensor data and the height information of the current driver; generates HUD adjustment parameters according to the sitting posture data and the estimated human eye viewpoint, and adjusts the display area of ​​the HUD according to the HUD adjustment parameters, which can improve the accuracy of HUD adjustment, does not require additional equipment, reduces the probability of failure of peripherals, reduces the cost of vehicle development, improves driving experience, and improves the speed and efficiency of HUD adjustment.

[0083] Based on the above hardware structure, an embodiment of the HUD adjustment method based on sitting human eyes of the present invention is proposed.

[0084] Reference Figure 2 , Figure 2 4 is a flow chart of the first embodiment of the HUD adjustment method based on sitting human eyes of the present invention.

[0085] In a first embodiment, the HUD adjustment method based on sitting human eyes comprises the following steps:

[0086] Step S10: when it is detected that the current vehicle is started, the sensor data read by each sensor is obtained.

[0087] It should be noted that when the current vehicle is detected to be started, the real-time sensor data read by each sensor at the current moment can be obtained in time.

[0088] Step S20: Determine the sitting posture data and estimated eye viewpoint of the current driver according to the sensor data and the height information of the current driver.

[0089] It should be understood that after obtaining the height information of the current driver, the sitting posture data and estimated eye viewpoint of the current driver can be determined based on the sensor data and the height information of the current driver.

[0090] Step S30: generating a HUD adjustment parameter according to the sitting posture data and the estimated human eye viewpoint, and adjusting a display area of ​​the HUD according to the HUD adjustment parameter.

[0091] It can be understood that a HUD adjustment parameter can be generated according to the sitting posture data and the estimated human eye viewpoint, and then the display area of ​​the HUD can be adjusted according to the HUD adjustment parameter.

[0092] Through the above scheme, this embodiment obtains sensor data read by each sensor when detecting that the current vehicle is started; determines the sitting posture data and estimated human eye viewpoint of the current driver according to the sensor data and the height information of the current driver; generates HUD adjustment parameters according to the sitting posture data and the estimated human eye viewpoint, and adjusts the display area of ​​the HUD according to the HUD adjustment parameters, which can improve the accuracy of HUD adjustment, does not require additional equipment, reduces the probability of failure of peripherals, reduces the cost of vehicle development, improves driving experience, and improves the speed and efficiency of HUD adjustment.

[0093] Further, Figure 3 FIG. 2 is a flow chart of a second embodiment of a method for adjusting HUD based on sitting human eyes according to the present invention. Figure 3 As shown, based on the first embodiment, a second embodiment of the HUD adjustment method based on sitting human eyes of the present invention is proposed. In this embodiment, the step S10 specifically includes the following steps:

[0094] Step S11, when it is detected that the current vehicle is started, the driving computer of the current vehicle obtains the left exterior rearview mirror direction angle from the left exterior rearview mirror sensor, obtains the right exterior rearview mirror direction angle from the right exterior rearview mirror sensor, obtains the interior rearview mirror direction angle from the interior rearview mirror sensor, obtains the current posture of the seat from the seat sensor, and obtains the current projection angle and imaging area of ​​the HUD from the HUD sensor.

[0095] It should be noted that position sensors are installed on the left and right exterior rearview mirrors, the interior rearview mirror and the driver's seat in the vehicle. When the vehicle is started, the data read by each sensor, that is, according to the current vehicle's driving computer, obtains the left exterior rearview mirror direction angle from the left exterior rearview mirror sensor, the right exterior rearview mirror direction angle from the right exterior rearview mirror sensor, the interior rearview mirror direction angle from the interior rearview mirror sensor, the current seat posture from the seat sensor, and the current HUD projection angle and imaging area from the HUD sensor.

[0096] Step S12: taking the left exterior rearview mirror direction angle, the right exterior rearview mirror direction angle, the interior rearview mirror direction angle, the current posture of the seat, the current projection angle of the HUD and the imaging area as sensor data.

[0097] It can be understood that the left exterior rearview mirror direction angle, the right exterior rearview mirror direction angle, the interior rearview mirror direction angle, the current posture of the seat, the current projection angle of the HUD and the imaging area are used as sensor data.

[0098] Through the above scheme, this embodiment obtains the left exterior mirror direction angle from the left exterior mirror sensor, obtains the right exterior mirror direction angle from the right exterior mirror sensor, obtains the interior mirror direction angle from the interior mirror sensor, obtains the current seat posture from the seat sensor, and obtains the current projection angle and imaging area of ​​the HUD from the HUD sensor when detecting that the current vehicle is started; and uses the left exterior mirror direction angle, the right exterior mirror direction angle, the interior mirror direction angle, the current seat posture, the current projection angle of the HUD and the imaging area as sensor data, so as to quickly obtain sensor data and improve the accuracy of HUD adjustment.

[0099] Further, Figure 4 FIG. 4 is a flow chart of a third embodiment of a HUD adjustment method based on sitting human eyes according to the present invention. Figure 4 As shown, based on the second embodiment, a third embodiment of the HUD adjustment method based on sitting human eyes of the present invention is proposed. In this embodiment, the step S20 specifically includes the following steps:

[0100] Step S21, obtaining the height information of the current driver, and determining a preset human eye model position matching the current driver according to the height information.

[0101] It should be noted that after obtaining the height information of the current driver, the preset human eye model position matching the current driver can be determined according to the height information, that is, different height information corresponds to different preset human eye model positions.

[0102] Step S22: determining the current driver's sitting posture data and estimated eye viewpoint according to the sensor data and the preset eye model position.

[0103] It can be understood that the current driver's sitting posture data and estimated eye viewpoint can be determined based on the sensor data and the preset human eye model position. The data read by each sensor is sent to the on-board computer to cooperate with the driver's height information entered in advance for program calculation to obtain the current driver's sitting posture data and estimated eye position.

[0104] Furthermore, the step S22 specifically includes the following steps:

[0105] Determining the current driver's sitting posture data according to the current seat posture and the height information in the sensor data;

[0106] Compare the left exterior rearview mirror direction angle, the right exterior rearview mirror direction angle and the interior rearview mirror direction angle in the sensor data with the posture angle of the preset human eye model position to obtain an angle change value;

[0107] Obtaining a preset distance between the preset human eye model position and the center point of each rearview mirror, and calculating a human eye offset according to the angle change value and the preset distance;

[0108] The preset human eye model position is adjusted according to the human eye offset to obtain an estimated human eye viewpoint.

[0109] It should be understood that the current driver's sitting posture data can be determined through computer simulation based on the current posture of the seat and the height data; the left exterior rearview mirror direction angle, the right exterior rearview mirror direction angle and the interior rearview mirror direction angle are compared with the posture angle of the preset human eye model position to obtain the angle change value; the preset distance between the preset human eye model position and the center point of each rearview mirror can be obtained by calculation, and then the human eye offset can be calculated based on the angle change value and the preset distance; thereby, the human eye position is fine-tuned according to the human eye offset to obtain the estimated human eye viewpoint.

[0110] In the specific implementation, there is a preset driver's eye position model in the on-board computer. Through the eye model position, the optimal interior and exterior rearview mirror angle preset values ​​can be preset and calculated. Since the installation position is fixed, only the posture angle needs to be read. The interior and exterior rearview mirror angle preset values ​​correspond to the rotation angles of the three rotation axes respectively. After reading the real-time dynamic data parameters, the preset eye position and the preset distance between the center point of each mirror can be calculated. The offset is calculated through the angle change value, that is, the eye offset value obtained from each data is calculated respectively, and the eye model position is corrected through the eye offset value, and finally a more accurate position information is obtained as the eye position information currently simulated by calculation, that is, the estimated eye viewpoint.

[0111] Through the above scheme, this embodiment obtains the height information of the current driver, determines the preset human eye model position that matches the current driver according to the height information; determines the sitting posture data and estimated human eye viewpoint of the current driver according to the sensor data and the preset human eye model position, and can accurately determine the current driver's sitting posture data and estimated human eye orientation, thereby ensuring the accuracy of HUD adjustment, improving the driving experience, and improving the speed and efficiency of HUD adjustment.

[0112] Further, Figure 5 FIG. 4 is a flow chart of a fourth embodiment of a method for adjusting HUD based on sitting human eyes according to the present invention. Figure 5 As shown, based on the first embodiment, a fourth embodiment of the HUD adjustment method based on sitting human eyes of the present invention is proposed. In this embodiment, the step S30 specifically includes the following steps:

[0113] Step S31, obtaining the current mechanism position of the HUD operating mechanism through the HUD sensor, and calculating the projection area of ​​the current HUD projection angle on the front windshield according to the mechanism position.

[0114] It should be noted that the HUD sensor monitors the position of the current operating mechanism, inputs it into the on-board computer, and calculates the projection area of ​​the current HUD projection angle on the front windshield. That is, the current position of the HUD operating mechanism can be obtained through the HUD sensor, and the projection area of ​​the current HUD projection angle on the front windshield is obtained according to the mechanism position.

[0115] In the specific implementation, refer to Figure 6 , Figure 6 Schematic diagram of the HUD operation principle in the HUD adjustment method based on the sitting human eye of the present invention, as shown in Figure 6 As shown, the HUD display system is divided into a transmitting source, a first reflector, and a second reflector; the HUD system is controlled by an on-board computer, and a HUD transmitting device projects light, which is reflected by the first reflector and the second reflector and then reflected onto the windshield of the vehicle; the two reflectors are respectively provided with a control device for fine-tuning the angle; after the on-board computer calculates the optimal display area, the angles of the two reflectors are driven to be fine-tuned, and at the same time the transmitting source is refocused, so that the HUD display area reaches a preset optimal state.

[0116] Step S32: judging whether the current driver's field of vision is an optimal field of vision according to the estimated human eye viewpoint and the projection area.

[0117] It can be understood that, based on the estimated human eye viewpoint and the projection area, it can be determined whether the current driver's field of vision is the optimal field of vision, that is, the on-board computer determines whether the current driver's field of vision is optimal based on the human eye orientation data and the HUD imaging area.

[0118] Step S33: when the field of view is not the optimal field of view, obtaining HUD adjustment parameters corresponding to the sitting posture data and the estimated human eye viewpoint.

[0119] It should be understood that when the field of view is not the optimal field of view, HUD adjustment parameters corresponding to the sitting posture data and the estimated human eye viewpoint can be obtained, and different sitting posture data and different human eye viewpoints correspond to different HUD adjustment parameters.

[0120] Step S34: adjusting the display area of ​​the HUD according to the HUD adjustment parameters.

[0121] It can be understood that the display area of ​​the HUD can be quickly adjusted according to the HUD adjustment parameters.

[0122] Furthermore, the step S34 specifically includes the following steps:

[0123] Determining a predetermined imaging area according to the HUD adjustment parameter;

[0124] The current HUD operating mechanism movement is adjusted according to the HUD adjustment parameter until the display area of ​​the HUD matches the predetermined imaging area.

[0125] It should be understood that the predetermined imaging area can be determined according to the HUD adjustment parameters, and then the current HUD operating mechanism movement is adjusted according to the HUD adjustment parameters until the display area of ​​the HUD matches the predetermined imaging area.

[0126] Through the above scheme, this embodiment obtains the mechanism position of the current HUD operating mechanism through the HUD sensor, and obtains the projection area of ​​the current HUD projection angle on the front windshield according to the mechanism position; judges whether the current driver's field of view is the optimal field of view according to the estimated human eye viewpoint and the projection area; when the field of view is not the optimal field of view, obtains the HUD adjustment parameters corresponding to the sitting posture data and the estimated human eye viewpoint; adjusts the display area of ​​the HUD according to the HUD adjustment parameters; improves the accuracy of HUD adjustment, does not require the addition of additional equipment, reduces the probability of failure of peripherals, reduces the cost of vehicle development, improves the driving experience, and improves the speed and efficiency of HUD adjustment.

[0127] Further, Figure 7 FIG. 5 is a flow chart of a fifth embodiment of a method for adjusting HUD based on sitting human eyes according to the present invention. Figure 7 As shown, based on the first embodiment, a fifth embodiment of the HUD adjustment method based on sitting human eyes of the present invention is proposed. In this embodiment, after step S30, the HUD adjustment method based on sitting human eyes further includes the following steps:

[0128] Step S40: Prompt the current driver to confirm the current adjustment result through images or sounds.

[0129] It should be noted that the HUD operating mechanism is controlled by the on-board computer for adjustment until the predetermined imaging area is reached, and the driver is prompted to confirm the adjustment result through display and sound.

[0130] In the specific implementation, see Figure 8 , Figure 8 : is a logic flow chart of HUD adjustment control in the HUD adjustment method based on sitting human eyes of the present invention, such as Figure 8 As shown in the figure, the control logic is mainly divided into information collection, program calculation, and mechanism execution stages, as follows:

[0131] 1. Install position sensors on the left and right exterior rearview mirrors, interior rearview mirror and driver's seat in the vehicle;

[0132] 2. When the vehicle starts, the data read by each sensor is sent to the on-board computer, which is combined with the driver's height information entered in advance for program calculation to obtain the current driver's sitting posture data and the estimated eye position;

[0133] 3. The HUD sensor monitors the current position of the control mechanism, inputs it into the driving computer, and calculates the projection area of ​​the current HUD projection angle on the front windshield;

[0134] 4. The on-board computer determines whether the current driver's field of vision is optimal based on the human eye orientation data and the HUD imaging area. If not, the HUD adjustment plan is calculated according to the preset program;

[0135] 5. The HUD operating mechanism is controlled by the on-board computer and adjusted until the predetermined imaging area is reached. The driver is prompted to confirm the adjustment result through images and sounds.

[0136] During the entire driving process, monitor the left and right rearview mirrors, interior rearview mirror, and driver's seat in real time to see if they are adjusted. If any sensor detects a change, return to step 1 and continue the entire process.

[0137] Through the above solution, this embodiment reminds the current driver to confirm the current adjustment result through images or sounds, which can remind the driver in time and improve the driving experience.

[0138] Accordingly, the present invention further provides a HUD adjustment device based on sitting human eyes.

[0139] Reference Fig. 9 , Fig. 9 This is a functional module diagram of the first embodiment of the HUD adjustment device based on the sitting human eye of the present invention.

[0140] In a first embodiment of the HUD adjustment device based on sitting human eyes of the present invention, the HUD adjustment device based on sitting human eyes comprises:

[0141] The data acquisition module 10 is used to acquire sensor data read by each sensor when it is detected that the current vehicle is started.

[0142] The sitting posture human eye determination module 20 is used to determine the sitting posture data and estimated human eye viewpoint of the current driver according to the sensor data and the height information of the current driver.

[0143] The HUD adjustment module 30 is used to generate HUD adjustment parameters according to the sitting posture data and the estimated human eye viewpoint, and adjust the display area of ​​the HUD according to the HUD adjustment parameters.

[0144] The data acquisition module 10 is also used to obtain the left exterior rearview mirror direction angle from the left exterior rearview mirror sensor, obtain the right exterior rearview mirror direction angle from the right exterior rearview mirror sensor, obtain the interior rearview mirror direction angle from the interior rearview mirror sensor, obtain the current posture of the seat from the seat sensor, and obtain the current projection angle and imaging area of ​​the HUD from the HUD sensor when it is detected that the current vehicle is started; and use the left exterior rearview mirror direction angle, the right exterior rearview mirror direction angle, the interior rearview mirror direction angle, the current posture of the seat, the current projection angle of the HUD and the imaging area as sensor data.

[0145] The sitting posture human eye determination module 20 is also used to obtain the height information of the current driver, determine the preset human eye model position matching the current driver according to the height information; and determine the sitting posture data and estimated human eye viewpoint of the current driver according to the sensor data and the preset human eye model position.

[0146] The sitting posture human eye determination module 20 is also used to determine the sitting posture data of the current driver according to the current posture of the seat and the height information in the sensor data; compare the left exterior rearview mirror direction angle, the right exterior rearview mirror direction angle and the interior rearview mirror direction angle in the sensor data with the posture angle of the preset human eye model position to obtain an angle change value; obtain a preset distance between the preset human eye model position and the center point of each rearview mirror, and calculate the human eye offset according to the angle change value and the preset distance; adjust the preset human eye model position according to the human eye offset to obtain an estimated human eye viewpoint.

[0147] The HUD adjustment module 30 is further used to obtain the mechanism position of the current HUD operating mechanism through the HUD sensor, and calculate the projection area of ​​the current HUD projection angle on the front windshield according to the mechanism position; determine whether the current driver's field of view is the optimal field of view according to the estimated human eye viewpoint and the projection area; when the field of view is not the optimal field of view, obtain the HUD adjustment parameters corresponding to the sitting posture data and the estimated human eye viewpoint; and adjust the display area of ​​the HUD according to the HUD adjustment parameters.

[0148] The HUD adjustment module 30 is further used to determine a predetermined imaging area according to the HUD adjustment parameters; and adjust the movement of the current HUD operating mechanism according to the HUD adjustment parameters until the display area of ​​the HUD matches the predetermined imaging area.

[0149] The HUD adjustment module 30 is further used to remind the current driver to confirm the current adjustment result through images or sounds.

[0150] Among them, the steps for implementing each functional module of the HUD adjustment device based on the sitting human eyes can refer to the various embodiments of the HUD adjustment method based on the sitting human eyes of the present invention, and will not be repeated here.

[0151] In addition, an embodiment of the present invention further provides a storage medium, on which a HUD adjustment program based on sitting human eyes is stored. When the HUD adjustment program based on sitting human eyes is executed by a processor, the following operations are implemented:

[0152] When it is detected that the current vehicle is started, the sensor data read by each sensor is obtained;

[0153] Determine the sitting posture data and estimated eye viewpoint of the current driver according to the sensor data and the height information of the current driver;

[0154] A HUD adjustment parameter is generated according to the sitting posture data and the estimated human eye viewpoint, and a display area of ​​the HUD is adjusted according to the HUD adjustment parameter.

[0155] Furthermore, when the HUD adjustment program based on sitting human eyes is executed by the processor, the following operations are also implemented:

[0156] When the current vehicle is detected to be started, the driving computer of the current vehicle obtains the left exterior rearview mirror direction angle from the left exterior rearview mirror sensor, obtains the right exterior rearview mirror direction angle from the right exterior rearview mirror sensor, obtains the interior rearview mirror direction angle from the interior rearview mirror sensor, obtains the current posture of the seat from the seat sensor, and obtains the current projection angle and imaging area of ​​the HUD from the HUD sensor;

[0157] The left exterior rearview mirror direction angle, the right exterior rearview mirror direction angle, the interior rearview mirror direction angle, the current seat posture, the current HUD projection angle and the imaging area are used as sensor data.

[0158] Furthermore, when the HUD adjustment program based on sitting human eyes is executed by the processor, the following operations are also implemented:

[0159] Acquire the height information of the current driver, and determine a preset human eye model position matching the current driver according to the height information;

[0160] The current driver's sitting posture data and estimated eye viewpoint are determined according to the sensor data and the preset eye model position.

[0161] Furthermore, when the HUD adjustment program based on sitting human eyes is executed by the processor, the following operations are also implemented:

[0162] Determining the current driver's sitting posture data according to the current seat posture and the height information in the sensor data;

[0163] Compare the left exterior rearview mirror direction angle, the right exterior rearview mirror direction angle and the interior rearview mirror direction angle in the sensor data with the posture angle of the preset human eye model position to obtain an angle change value;

[0164] Obtaining a preset distance between the preset human eye model position and the center point of each rearview mirror, and calculating a human eye offset according to the angle change value and the preset distance;

[0165] The preset human eye model position is adjusted according to the human eye offset to obtain an estimated human eye viewpoint.

[0166] Furthermore, when the HUD adjustment program based on sitting human eyes is executed by the processor, the following operations are also implemented:

[0167] The HUD sensor is used to obtain the current position of the HUD operating mechanism, and the projection area of ​​the current HUD projection angle on the front windshield is calculated according to the position of the mechanism;

[0168] Determining whether the current driver's field of vision is an optimal field of vision according to the estimated human eye viewpoint and the projection area;

[0169] When the visual field is not an optimal visual field, obtaining a HUD adjustment parameter corresponding to the sitting posture data and the estimated human eye viewpoint;

[0170] The display area of ​​the HUD is adjusted according to the HUD adjustment parameter.

[0171] Furthermore, when the HUD adjustment program based on sitting human eyes is executed by the processor, the following operations are also implemented:

[0172] Determining a predetermined imaging area according to the HUD adjustment parameter;

[0173] The current HUD operating mechanism movement is adjusted according to the HUD adjustment parameter until the display area of ​​the HUD matches the predetermined imaging area.

[0174] Furthermore, when the HUD adjustment program based on sitting human eyes is executed by the processor, the following operations are also implemented:

[0175] The current driver is reminded to confirm the current adjustment result through images or sounds.

[0176] Those skilled in the art will appreciate that all or part of the steps in the above-mentioned implementation method can be accomplished by instructing related hardware through a program, and the program is stored in a storage medium, including a number of instructions for enabling a device (which may be a single-chip microcomputer, chip, etc.) or a processor to execute all or part of the steps of the method described in each implementation method of the present application; and the aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, and other media that can store program codes.

[0177] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or device including the element.

[0178] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0179] The above are only preferred embodiments of the present invention, and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A HUD adjustment method based on sitting human eyes, characterized in that: The HUD adjustment method based on sitting human eyes includes: When it is detected that the current vehicle is started, the sensor data read by each sensor is obtained; Determine the sitting posture data and estimated eye viewpoint of the current driver according to the sensor data and the height information of the current driver; A HUD adjustment parameter is generated according to the sitting posture data and the estimated human eye viewpoint, and a display area of ​​the HUD is adjusted according to the HUD adjustment parameter.

2. The HUD adjustment method based on sitting human eyes as claimed in claim 1, characterized in that: When the current vehicle is detected to be started, the sensor data read by each sensor is obtained, including: When the current vehicle is detected to be started, the driving computer of the current vehicle obtains the left exterior rearview mirror direction angle from the left exterior rearview mirror sensor, obtains the right exterior rearview mirror direction angle from the right exterior rearview mirror sensor, obtains the interior rearview mirror direction angle from the interior rearview mirror sensor, obtains the current posture of the seat from the seat sensor, and obtains the current projection angle and imaging area of ​​the HUD from the HUD sensor; The left exterior rearview mirror direction angle, the right exterior rearview mirror direction angle, the interior rearview mirror direction angle, the current seat posture, the current HUD projection angle and the imaging area are used as sensor data.

3. The HUD adjustment method based on sitting human eyes as claimed in claim 2, characterized in that: Determining the sitting posture data and estimating the eye viewpoint of the current driver according to the sensor data and the height information of the current driver includes: Acquire the height information of the current driver, and determine a preset human eye model position matching the current driver according to the height information; The current driver's sitting posture data and estimated eye viewpoint are determined according to the sensor data and the preset eye model position.

4. The HUD adjustment method based on sitting human eyes as claimed in claim 3, characterized in that: The determining the current driver's sitting posture data and the estimated human eye viewpoint according to the sensor data and the preset human eye model position includes: Determining the current driver's sitting posture data according to the current seat posture and the height information in the sensor data; Compare the left exterior rearview mirror direction angle, the right exterior rearview mirror direction angle and the interior rearview mirror direction angle in the sensor data with the posture angle of the preset human eye model position to obtain an angle change value; Obtaining a preset distance between the preset human eye model position and the center point of each rearview mirror, and calculating a human eye offset according to the angle change value and the preset distance; The preset human eye model position is adjusted according to the human eye offset to obtain an estimated human eye viewpoint.

5. The HUD adjustment method based on sitting human eyes as claimed in claim 1, characterized in that: The generating of HUD adjustment parameters according to the sitting posture data and the estimated human eye viewpoint, and adjusting the display area of ​​the HUD according to the HUD adjustment parameters, comprises: The HUD sensor is used to obtain the current position of the HUD operating mechanism, and the projection area of ​​the current HUD projection angle on the front windshield is calculated according to the position of the mechanism; Determining whether the current driver's field of vision is an optimal field of vision according to the estimated human eye viewpoint and the projection area; When the visual field is not an optimal visual field, obtaining a HUD adjustment parameter corresponding to the sitting posture data and the estimated human eye viewpoint; The display area of ​​the HUD is adjusted according to the HUD adjustment parameter.

6. The HUD adjustment method based on sitting human eyes as claimed in claim 4, characterized in that: The adjusting the display area of ​​the HUD according to the HUD adjustment parameter includes: Determining a predetermined imaging area according to the HUD adjustment parameter; The current HUD operating mechanism movement is adjusted according to the HUD adjustment parameter until the display area of ​​the HUD matches the predetermined imaging area.

7. The HUD adjustment method based on sitting human eyes as claimed in claim 1, characterized in that: After generating the HUD adjustment parameters according to the sitting posture data and the estimated human eye viewpoint, and adjusting the display area of ​​the HUD according to the HUD adjustment parameters, the HUD adjustment method based on sitting posture human eyes further includes: The current driver is reminded to confirm the current adjustment result through images or sounds.

8. A HUD adjustment device based on sitting human eyes, characterized in that: The HUD adjustment device based on sitting human eyes includes: A data acquisition module is used to acquire sensor data read by each sensor when detecting that the current vehicle is started; A sitting posture human eye determination module, used to determine the sitting posture data and estimated human eye viewpoint of the current driver according to the sensor data and the height information of the current driver; The HUD adjustment module is used to generate HUD adjustment parameters according to the sitting posture data and the estimated human eye viewpoint, and adjust the display area of ​​the HUD according to the HUD adjustment parameters.

9. A HUD adjustment device based on sitting human eyes, characterized in that: The sitting human eye-based HUD adjustment device includes: a memory, a processor, and a sitting human eye-based HUD adjustment program stored in the memory and executable on the processor, wherein the sitting human eye-based HUD adjustment program is configured to implement the steps of the sitting human eye-based HUD adjustment method as described in any one of claims 1 to 7.

10. A storage medium, characterized in that: The storage medium stores a HUD adjustment program based on sitting human eyes, and when the HUD adjustment program based on sitting human eyes is executed by the processor, the steps of the HUD adjustment method based on sitting human eyes as described in any one of claims 1 to 7 are implemented.

Images