Assisted driving glasses and assisted driving system

Abstract

The application discloses an auxiliary driving glasses and an auxiliary driving system, the auxiliary driving glasses comprising a frame body, the frame body being embedded with a wireless charging coil; the wireless charging coil is configured to electromagnetically couple with a vehicle-mounted wireless charging panel to wirelessly charge the auxiliary driving glasses. In this way, the auxiliary driving glasses are wirelessly charged by the wireless charging coil embedded in the frame body, which forms a stable electromagnetic coupling relationship with the vehicle-mounted wireless charging panel, thereby completing the wireless charging of the auxiliary driving glasses without the need for hardware modification or the addition of a dedicated charging base for the intelligent vehicle. This effectively reduces the dependence of the charging operation on the modification of the intelligent vehicle and the use of special equipment, thereby improving the charging adaptability and convenience of the auxiliary driving glasses in the intelligent driving scene to a certain extent, and optimizing the charging experience of the auxiliary driving glasses in the intelligent driving scene.

Description

Technical Field

[0001] This application relates to the field of vehicle control technology, and in particular to a driver assistance glasses and driver assistance system. Background Technology

[0002] In related technologies, in-vehicle smart glasses typically use wired charging, magnetic contact charging, or lens-integrated charging for charging. However, this approach has drawbacks such as easily damaged charging interfaces, the need to modify vehicles to install dedicated charging bases, and limited lens space leading to low charging efficiency and reduced optical performance. Consequently, these technologies result in poor charging compatibility and inconvenience in in-vehicle scenarios, which to some extent affects the user experience. Summary of the Invention

[0003] This application provides a pair of driver assistance glasses and a driver assistance system.

[0004] This application provides a driver assistance glasses, which includes a frame and a wireless charging coil embedded in the frame; The wireless charging coil is configured to be electromagnetically coupled to the vehicle-mounted wireless charging panel to wirelessly charge the driver assistance glasses.

[0005] Thus, in this embodiment, a stable electromagnetic coupling relationship is formed between the wireless charging coil embedded inside the frame of the driver assistance glasses and the vehicle's wireless charging panel, thereby completing the wireless charging of the driver assistance glasses. Compared with wired charging, magnetic contact charging, or lens-integrated charging solutions, the charging process of the driver assistance glasses does not rely on dedicated charging cables, effectively avoiding problems such as wear, water ingress, and damage to the charging interface due to long-term use. At the same time, there is no need to modify the hardware of the smart vehicle or install a dedicated charging base, effectively reducing the dependence of charging operations on smart vehicle modifications and dedicated equipment. This can improve the charging adaptability and convenience of driver assistance glasses in smart driving scenarios to a certain extent, optimize the charging experience of driver assistance glasses in smart driving scenarios, and the use of the wireless charging coil embedded in the frame does not occupy the optical space of the lens, thus ensuring the basic performance of the driver assistance glasses to a certain extent.

[0006] In some embodiments, the driver assistance glasses further include a camera module and an auxiliary control module, wherein the camera module is embedded in the frame; The camera module is configured to: acquire first-view image data and head posture data of the driver, and transmit the first-view image data and the head posture data to the vehicle, wherein the vehicle analyzes and processes the first-view image data, the head posture data and / or the acquired vehicle status data, generates auxiliary control commands and sends them to the auxiliary control module; The auxiliary control module is configured to receive the auxiliary control command sent by the vehicle and execute the assisted driving control corresponding to the auxiliary control command.

[0007] Thus, in this embodiment, the driver's first-view image data and head posture data are collected by a camera module embedded in the frame of the driver assistance glasses, and stably transmitted to the vehicle. The vehicle's data processing module analyzes and processes the first-view image data, head posture data, and / or vehicle status data collected by the vehicle itself, generates auxiliary control commands adapted to the current intelligent driving scenario, and sends them to the auxiliary control module. The auxiliary control module receives the auxiliary control commands and executes the corresponding driver assistance control, thereby realizing the interconnection and collaborative control of perception data between the driver assistance glasses and the intelligent vehicle. Compared with the solution of in-vehicle intelligent glasses that rely on redundant configuration of multiple sensors, independent computing power modules, or cloud data processing, this effectively simplifies the hardware structure of driver assistance glasses, eliminating the need for additional perception sensors and independent processing chips. This reduces the hardware cost and manufacturing difficulty of the product to a certain extent, thereby improving the mass production adaptability of driver assistance glasses to a certain extent. Moreover, relying on the local computing power of the intelligent vehicle to complete data processing, without uploading to the cloud platform, avoids network dependence and data transmission delay issues to a certain extent, improves the response efficiency of driver assistance control, avoids the leakage of driver data, and ensures privacy and security during intelligent driving. Furthermore, the fusion analysis of driver status data and vehicle status data has improved the matching degree between assisted control commands and intelligent driving scenarios to a certain extent, ensuring the accuracy and pertinence of assisted driving control.

[0008] In some embodiments, the auxiliary control module includes a directional speaker and / or a diffractive waveguide lens, wherein the directional speaker is located inside the temple of the driver assistance glasses and the sound is directed toward the driver's ear, and the diffractive waveguide lens is embedded in the frame; The directional speaker is configured to: output directional voice prompts corresponding to the auxiliary control commands; and / or The diffractive waveguide lens is configured to project an augmented reality virtual image corresponding to the auxiliary control command, according to the auxiliary control command.

[0009] Thus, in this embodiment, the auxiliary control module of the driver-assistance glasses receives auxiliary control commands transmitted from the vehicle and responds to these commands by controlling a directional speaker located on the inner side of the temples, pointing towards the driver's ear, to output corresponding directional voice prompts. It also controls a diffractive waveguide lens embedded in the frame to project a corresponding augmented reality image. This achieves personalized voice transmission and visual augmented reality display of driver-assistance information. Compared to a solution using omnidirectional broadcast voice announcements and conventional lens displays, the directional speaker enables directional transmission of voice information, avoiding interference with passengers in the vehicle to some extent, thus improving the user experience in multi-passenger scenarios. Furthermore, the projection of the augmented reality image by the diffractive waveguide lens achieves accurate matching between the augmented reality image and the driver's field of vision, reducing instances where the driver's gaze deviates from the road surface and improving the driving safety of intelligent driving. In addition, the coordinated output of directional voice prompts and augmented reality images enhances the transmission effect of driver-assistance information, effectively reducing the risk of driver distraction and improving the driving safety of intelligent driving.

[0010] In some implementations, the auxiliary control commands include at least one of a driving risk warning command, an augmented reality display calibration command, and a voice interaction execution command; The directional speaker is configured to: output a directional voice prompt corresponding to the driving risk warning command, and / or output a directional voice prompt corresponding to the voice interaction execution command, based on the driving risk warning command; and / or The diffractive waveguide lens is configured to: project an augmented reality image corresponding to the driving risk warning instruction according to the driving risk warning instruction, and / or adjust the projection angle and position of the augmented reality image according to the augmented reality display calibration instruction.

[0011] Thus, in this embodiment, the auxiliary control commands include at least one of driving risk warning commands, augmented reality display calibration commands, and voice interaction execution commands. The driving risk warning command controls the directional speaker to output a corresponding directional voice prompt, and / or the voice interaction execution command controls the directional speaker to output a corresponding directional voice prompt. The driving risk warning command controls the diffractive waveguide lens to project a corresponding augmented reality virtual image, and / or the augmented reality display calibration command controls the diffractive waveguide lens to adjust the projection angle and position of the augmented reality virtual image. This enables differentiated execution of different types of auxiliary control commands by the assisted driving glasses. Compared to solutions with single control command types and fixed execution methods, this approach can cover the auxiliary needs of all scenarios, including driving risk warning, augmented reality display calibration, and voice interaction. This improves the scenario adaptability of the assisted driving glasses to a certain extent. Furthermore, the correspondence between the auxiliary control commands and the executed actions is clear, effectively avoiding command execution errors and improving the safety and practicality of intelligent driving assistance to a certain degree.

[0012] This application also provides an assisted driving system, the system including assisted driving glasses and a vehicle as described in any of the above embodiments, the assisted driving glasses including a frame, the frame being embedded with a wireless charging coil, the vehicle including an in-vehicle wireless charging panel, and the vehicle being communicatively connected to the assisted driving glasses; The wireless charging coil is configured to be electromagnetically coupled to the in-vehicle wireless charging panel to wirelessly charge the driver assistance glasses.

[0013] Thus, in this embodiment, a stable electromagnetic coupling relationship is formed between the wireless charging coil embedded inside the frame of the driver assistance glasses and the vehicle's wireless charging panel, thereby completing the wireless charging of the driver assistance glasses. Compared with wired charging, magnetic contact charging, or lens-integrated charging solutions, the charging process of the driver assistance glasses does not rely on dedicated charging cables, effectively avoiding problems such as wear, water ingress, and damage to the charging interface due to long-term use. At the same time, there is no need to modify the hardware of the smart vehicle or install a dedicated charging base, effectively reducing the dependence of charging operations on smart vehicle modifications and dedicated equipment. This can improve the charging adaptability and convenience of driver assistance glasses in smart driving scenarios to a certain extent, optimize the charging experience of driver assistance glasses in smart driving scenarios, and the use of the wireless charging coil embedded in the frame does not occupy the optical space of the lens, thus ensuring the basic performance of the driver assistance glasses to a certain extent.

[0014] In some embodiments, the driver assistance glasses further include a camera module and an auxiliary control module, the camera module being embedded in the frame, and the vehicle further includes a data processing module; The camera module is configured to: acquire first-view image data and head posture data of the driver, and transmit the first-view image data and the head posture data to the data processing module; The data processing module is configured to: analyze and process the first-view image data, the head posture data, and / or the collected vehicle status data through the onboard data processing model, generate auxiliary control commands, and send them to the auxiliary control module; The auxiliary control module is configured to receive the auxiliary control command sent by the vehicle and execute the assisted driving control corresponding to the auxiliary control command.

[0015] Thus, in this embodiment, the driver's first-view image data and head posture data are collected by a camera module embedded in the frame of the driver assistance glasses, and stably transmitted to the vehicle. The vehicle's data processing module analyzes and processes the first-view image data, head posture data, and / or vehicle status data collected by the vehicle itself, generates auxiliary control commands adapted to the current intelligent driving scenario, and sends them to the auxiliary control module. The auxiliary control module receives the auxiliary control commands and executes the corresponding driver assistance control, thereby realizing the interconnection and collaborative control of perception data between the driver assistance glasses and the intelligent vehicle. Compared with the solution of in-vehicle intelligent glasses that rely on redundant configuration of multiple sensors, independent computing power modules, or cloud data processing, this effectively simplifies the hardware structure of driver assistance glasses, eliminating the need for additional perception sensors and independent processing chips. This reduces the hardware cost and manufacturing difficulty of the product to a certain extent, thereby improving the mass production adaptability of driver assistance glasses to a certain extent. Moreover, relying on the local computing power of the intelligent vehicle to complete data processing, without uploading to the cloud platform, avoids network dependence and data transmission delay issues to a certain extent, improves the response efficiency of driver assistance control, avoids the leakage of driver data, and ensures privacy and security during intelligent driving. Furthermore, the fusion analysis of driver status data and vehicle status data has improved the matching degree between assisted control commands and intelligent driving scenarios to a certain extent, ensuring the accuracy and pertinence of assisted driving control.

[0016] In some embodiments, the auxiliary control module includes a directional speaker and / or a diffractive waveguide lens. The directional speaker is located inside the temple of the driver assistance glasses and the sound is directed towards the driver's ear. The diffractive waveguide lens is embedded in the frame. The auxiliary control commands include driving risk warning commands. The data processing module is configured to perform fusion analysis on the first perspective image data, the head posture data, and the vehicle status data to determine the driver's status. If the determination result indicates that the driver is in a dangerous driving state, the driving risk warning command is generated and sent to the auxiliary control module; The directional speaker is configured to: output a directional voice prompt corresponding to the driving risk warning command, based on the driving risk warning command; and / or The diffractive waveguide lens is configured to project an augmented reality image corresponding to the driving risk warning instruction, based on the driving risk warning instruction.

[0017] Thus, in this embodiment, the data processing module of the assisted driving system fuses and analyzes first-view image data, head posture data, and vehicle status data to determine the driver's state. When the system determines the driver is in a dangerous driving state, it generates a driving risk warning command and sends it to the directional speaker and diffractive waveguide lens of the assisted driving glasses. The directional speaker outputs directional voice prompts, and the diffractive waveguide lens projects an augmented reality virtual image. This achieves real-time recognition of the driver's driving state and dual audio-visual warnings. Compared to warning schemes using omnidirectional broadcast voice and central control screen prompts, this method ensures the warning voice only travels to the driver's ears, and the warning virtual image is only projected into the driver's exclusive field of vision. This, to a certain extent, avoids interference with other passengers in the vehicle, improves the targeting and response speed of risk warnings, and completes data processing and command generation locally in the intelligent vehicle, eliminating the need for cloud data interaction and reducing data transmission latency and privacy leakage risks. Furthermore, the coordinated warning method of directional voice and augmented reality virtual image enhances the effect of hazard reminders, helps drivers correct dangerous driving behaviors, and reduces driving safety hazards of intelligent driving to a certain extent.

[0018] In some embodiments, the auxiliary control module includes a diffractive waveguide lens embedded in the frame, the auxiliary control commands further include augmented reality display calibration commands, and the vehicle status data includes navigation data; The data processing module is configured to: perform fusion analysis on the first perspective image data, the head posture data and the navigation data, generate calibration parameters for the augmented reality virtual image, and generate an augmented reality display calibration command corresponding to the calibration parameters and send it to the diffractive waveguide lens; The diffractive waveguide lens is configured to adjust the projection angle and position of the augmented reality virtual image according to the augmented reality display calibration command.

[0019] Thus, in this embodiment, the data processing module of the assisted driving system fuses and analyzes first-view image data, head posture data, and navigation data to generate calibration parameters for the augmented reality virtual image. Based on these parameters, it generates augmented reality display calibration instructions and transmits them to the diffractive waveguide lens. The diffractive waveguide lens adjusts the projection angle and position of the augmented reality virtual image according to the calibration instructions. This achieves dynamic calibration of the augmented reality virtual image in the assisted driving system based on the driver's head posture and the navigation scene. Compared to solutions using fixed projection parameters that cannot adapt to changes in head posture, this ensures that the augmented reality virtual image remains aligned with the driver's real-time field of vision and actual road conditions. This can, to some extent, eliminate the safety hazards of intelligent driving caused by virtual image misalignment. Furthermore, data processing is completed using the local computing power of the intelligent vehicle, eliminating the need for cloud data interaction, which reduces data transmission latency and improves calibration response speed. In addition, the dynamic calibration method makes the navigation assistance information more consistent with actual intelligent driving scenarios, reducing the frequency of the driver's gaze deviating from the road surface and improving the safety and user experience of in-vehicle augmented reality navigation.

[0020] In some embodiments, the auxiliary control module includes a directional speaker located inside the temple of the driver assistance glasses and emitting sound towards the driver's ear; the vehicle also includes a voice acquisition module; and the auxiliary control commands further include voice interaction execution commands. The voice acquisition module is configured to acquire the driver's voice command data; The data processing module is configured to: parse and process the voice command data and the vehicle status data, determine the driver's driving intention, generate a voice interaction execution command corresponding to the driving intention, and send it to the directional speaker; The directional speaker is configured to output a directional voice prompt corresponding to the voice interaction execution command, based on the voice interaction execution command.

[0021] Thus, in this embodiment of the application, the voice acquisition module of the assisted driving system acquires the voice command data issued by the driver, and the data processing module analyzes and processes the voice command data and the acquired vehicle status data to determine the driver's true driving intention. Based on the driving intention, a voice interaction execution command is generated and transmitted to the directional speaker. The directional speaker outputs the corresponding directional voice prompt, thereby realizing accurate human-vehicle voice interaction in the assisted driving system. Compared with the solution of using omni-channel broadcast voice output, the voice interaction prompt sound only travels to the driver's ear, thereby avoiding interference with other passengers in the vehicle to a certain extent, maintaining the quietness of the riding environment. In addition, the combination of vehicle status data analysis method can improve the accuracy of driving intention recognition, reduce the occurrence of misidentification and misresponse to a certain extent, and improve the privacy and user experience of intelligent driving voice interaction.

[0022] In some embodiments, the data processing module is configured to: analyze and process the first-view image data, the head posture data, and / or the vehicle state data through the onboard data processing model, generate vehicle-side execution commands, and execute assisted driving control corresponding to the vehicle-side execution commands, wherein the assisted driving control includes at least one of switching driving modes, increasing vehicle distance, and triggering seat belt warning.

[0023] Thus, in this embodiment, the data processing module's built-in data processing model analyzes and processes the first-view image data, head posture data, and vehicle status data to generate corresponding vehicle-side execution commands. The vehicle is then controlled to execute at least one of the following driver assistance controls based on these commands: switching driving modes, increasing vehicle distance, or triggering seatbelt warnings. This achieves coordinated safety protection through the driver assistance glasses' perception and the vehicle's active control. Compared to solutions that only provide single warnings from the glasses and cannot actively adjust the vehicle's operating status, this approach allows the driver assistance system to proactively execute corresponding safety control operations based on the driver's real-time status and the vehicle's operating status. This reduces the risks of intelligent driving to some extent, decreases the frequency of manual driver operations, and allows multiple types of driver assistance controls to be executed individually or in combination according to risk levels, adapting to the safety protection needs of different intelligent driving scenarios. This, in turn, enhances the intelligence level and safety protection capabilities of the driver assistance system.

[0024] Additional aspects and advantages of embodiments of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of embodiments of this application. Attached Figure Description

[0025] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the description of the embodiments taken in conjunction with the following drawings, wherein: Figure 1 This is one of the schematic diagrams of the assisted driving glasses structure according to certain embodiments of this application; Figure 2 This is a schematic diagram illustrating wireless charging of driver assistance glasses according to certain embodiments of this application; Figure 3 This is a schematic diagram of an assisted driving system according to certain embodiments of this application; Figure 4 This is a second schematic diagram of the structure of driver assistance glasses according to certain embodiments of this application; Figure 5 These are schematic diagrams illustrating the effects of using the driver assistance glasses according to certain embodiments of this application; Figure 6 This is a schematic diagram of the assisted driving system architecture according to some embodiments of this application; Figure 7 This is a schematic diagram of the processing flow of an assisted driving system according to certain embodiments of this application. Detailed Implementation

[0026] The embodiments of this application are described in detail below. Examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the embodiments of this application, and should not be construed as limiting the embodiments of this application.

[0027] With the integration of smart cockpit and wearable device technologies, in-vehicle driver assistance smart glasses, as devices that enhance driving safety and the convenience of human-vehicle interaction, are gradually becoming a key development direction in the industry. In-vehicle driver assistance smart glasses are mainly used for scenarios such as driving status monitoring, navigation assistance, risk warning, human-vehicle interaction, and in-vehicle power replenishment, playing a crucial role in enabling collaborative work between smart wearables and in-vehicle systems and optimizing the driving experience.

[0028] In related technologies, the research and development of in-vehicle smart glasses has formed a relatively complete solution system. Functionality is typically achieved through the interaction between the device and the in-vehicle cockpit system or cloud platform. Specifically, in the data acquisition stage, multiple sensors such as millimeter-wave radar, attitude detectors, and external vehicle cameras are used, with a single sensor collecting road information or driver status data. In the data processing stage, analysis and decision-making are performed based on cloud-based multimodal large models or on-vehicle local computing units. Interaction methods primarily rely on voice command parsing and driver visual posture detection. On the display side, augmented reality (AR) image projection technology is used to output auxiliary information. Charging methods include integrated lens charging, wired charging, magnetic contact charging, and charging with a dedicated in-vehicle dock.

[0029] However, the multi-sensor configuration increases hardware costs, and the additional dedicated models and computing units raise the barriers to R&D and mass production. Furthermore, data collected by a single sensor tends to have a limited information dimension, making it difficult to fully support the state analysis needs in complex driving scenarios. In addition, the ambiguous positioning of camera functions can easily lead to functional redundancy, resulting in poor hardware adaptability and practicality.

[0030] To address these issues, some technical solutions collect driver facial and in-vehicle activity data using external sensing devices, or upload the collected data to the cloud or third-party platforms for processing. However, this poses a risk of privacy breaches, potentially causing users to feel monitored. Furthermore, some privacy protection solutions require additional dedicated sensors, further increasing hardware costs. Some solutions employ single voice interaction or central control broadcast-style navigation and warning voice output. However, single voice interaction is susceptible to interference from in-vehicle ambient noise, resulting in low command recognition accuracy. Broadcast-style voice output can also disturb passengers, affecting the quietness of the ride and the user experience. Additionally, some augmented reality displays in certain solutions fail to analyze the driver's first-person perspective; fixed projection parameters cannot adapt to changes in the driver's head posture, leading to misalignment between the virtual image and the real field of vision, impacting driving safety.

[0031] In addition, regarding charging, the integrated charging structure of the lens is limited by the internal space of the lens, resulting in low charging coupling efficiency and easy interference with the AR projection effect. Furthermore, the wired charging interface is prone to water damage, and magnetic charging and dedicated base charging require hardware modification of the vehicle, making them unsuitable for different models. The charging operation is cumbersome and has poor compatibility.

[0032] In summary, most of the intelligent models in the relevant technical solutions are adapted to general interaction scenarios or single specific scenarios, and are not deeply integrated with driving safety needs. They are unable to efficiently respond to demands such as risk warnings and driver status monitoring, and their adaptability to complex daily driving usage scenarios is insufficient.

[0033] Based on the above issues, please refer to the following: Figure 1 , Figure 2 and Figure 3 This application provides a driver assistance glasses 100, which includes a frame 110 and a wireless charging coil 111 embedded in the frame 110. The wireless charging coil 111 is configured to electromagnetically couple with the vehicle's onboard wireless charging panel 210 to wirelessly charge the driver assistance glasses 100.

[0034] This application also provides an assisted driving system, which includes assisted driving glasses 100 and a vehicle 200 according to some of the above embodiments. The assisted driving glasses 100 includes a frame 110, and a wireless charging coil 111 is embedded in the frame 110. The vehicle 200 includes an in-vehicle wireless charging panel 210, and the vehicle 200 is communicatively connected to the assisted driving glasses 100. The wireless charging coil 111 is configured to electromagnetically couple with the in-vehicle wireless charging panel 210 to wirelessly charge the driver assistance glasses 100.

[0035] Specifically, the driver assistance system includes driver assistance glasses 100 and intelligent vehicle 200, realizing an integrated intelligent driving assistance system that integrates perception analysis, early warning, and charging.

[0036] The Assisted Driving Glasses 100 is an intelligent wearable device designed for intelligent driving scenarios. It integrates functions such as charging, sensing, and display to provide drivers with driving assistance services.

[0037] The frame 110 is the external support structure of the driver assistance glasses 100, used to install functional components such as coils, cameras, and lenses, and can combine structural stability with wearing comfort.

[0038] The wireless charging coil 111 is a component for realizing wireless power transmission. It receives energy from the vehicle-mounted wireless charging panel 210 through the principle of electromagnetic induction and converts it into electrical energy to replenish the glasses.

[0039] Vehicle 200 is an intelligent motor vehicle equipped with native wireless charging panel 210, providing a charging environment and operating platform for driver assistance glasses 100.

[0040] The in-vehicle wireless charging panel 210 is a factory-installed wireless charging device inside the intelligent vehicle 200, which can transmit electrical energy to the outside through electromagnetic coupling.

[0041] Electromagnetic coupling is the energy transfer principle of wireless charging, which relies on magnetic field induction to achieve the transfer of electrical energy without physical contact.

[0042] Wireless charging is a form of charging that uses electromagnetic induction to transfer electrical energy, which can improve the convenience of charging operations to a certain extent.

[0043] The driver assistance glasses 100 use a frame 110 as a supporting structure. The frame 110 can be made of a high-toughness insulating material with good injection molding performance and wearing comfort. It meets the ergonomic design requirements for long-term wear and effectively ensures the driver's comfort during long-term wear.

[0044] In some embodiments, the wireless charging coil 111 may have a narrow and thin structure and be fixed in the internal space of the frame 110 by an integrated injection molding process.

[0045] In some embodiments, the wireless charging coil 111 may be made of oxygen-free copper foil with high conductivity, and the thickness of the copper foil may be increased to twice that of the mainstream coil specifications in related technologies, which effectively compensates for the problem of increased resistance caused by the reduction of the number of coil turns and ensures the current carrying capacity and power transmission efficiency of the coil.

[0046] In some implementations, the electrical parameters of the coil are standardized and tuned to match the mainstream in-vehicle wireless charging protocols of smart vehicles 200, and can automatically adapt to in-vehicle wireless charging panels 210 of different models without the need for manual parameter adjustment.

[0047] The in-vehicle wireless charging panel 210 installed inside the intelligent vehicle 200 is a factory-installed original configuration, requiring no hardware modification or software debugging. When the driver assistance glasses 100 are placed on the in-vehicle wireless charging panel 210, an electromagnetic coupling channel is established between the wireless charging coil 111 inside the frame 110 and the in-vehicle wireless charging panel 210. The electrical energy output by the in-vehicle wireless charging panel 210 is transferred to the wireless charging coil 111 through magnetic field induction. The wireless charging coil 111 converts the received electromagnetic energy into DC power to power the built-in battery of the driver assistance glasses 100.

[0048] Understandably, the above charging process requires no physical wiring, no additional dedicated charging equipment, and no modification to the intelligent vehicle 200. It leverages the intelligent vehicle 200's native charging resources for convenient power replenishment. Simultaneously, the frame 110 itself possesses insulation properties, providing reliable electrical protection for the wireless charging coil 111 without the need for additional insulation layers. This simplifies the product's manufacturing process, reduces production costs, avoids the impact of integrated lens charging on optical performance, and ensures the stable operation of the driver assistance glasses 100's display function. Furthermore, the wireless charging design eliminates the physical charging interface, mitigating the risk of water ingress, wear, and damage, effectively extending the lifespan of the driver assistance glasses 100.

[0049] The following explanation uses the charging process of a driver assistance glasses as an example to illustrate the driver assistance glasses and driver assistance system of this application: When the remaining battery power of the driver assistance glasses is low, place the glasses directly on the 50W native wireless charging panel inside the smart vehicle's cockpit. The wireless charging coil can be a rectangular ring structure with a length of 50mm, a width of 40mm, and a thickness of 3mm. The number of turns is one-fifth of that of a 20mm wide wireless charging coil in related technologies. The wireless charging coil maintains a 4mm gap with the wireless charging panel.

[0050] Subsequently, the driver assistance glasses recognize the vehicle's Qi, Qi2.0 and other in-vehicle wireless charging protocols, adjust the matching capacitor to stable parameters to ensure that the resonant frequency remains constant, and enter a stable charging state.

[0051] The charging process requires no additional user intervention; simply place the glasses on the ground to start charging. It takes approximately 58 minutes to charge from 15% to 80%, which is sufficient to meet the energy replenishment needs during commutes, breaks, shopping, and other driving intervals. The charging process does not affect the optical structure of the glasses, ensuring the stability of the AR display function and fully leveraging the advantages of the embedded coil structure within the frame.

[0052] Thus, in this embodiment, a stable electromagnetic coupling relationship is formed between the wireless charging coil embedded inside the frame of the driver assistance glasses and the vehicle's wireless charging panel, thereby completing the wireless charging of the driver assistance glasses. Compared with wired charging, magnetic contact charging, or lens-integrated charging solutions, the charging process of the driver assistance glasses does not rely on dedicated charging cables, effectively avoiding problems such as wear, water ingress, and damage to the charging interface due to long-term use. At the same time, there is no need to modify the hardware of the smart vehicle or install a dedicated charging base, effectively reducing the dependence of charging operations on smart vehicle modifications and dedicated equipment. This can improve the charging adaptability and convenience of driver assistance glasses in smart driving scenarios to a certain extent, optimize the charging experience of driver assistance glasses in smart driving scenarios, and the use of the wireless charging coil embedded in the frame does not occupy the optical space of the lens, thus ensuring the basic performance of the driver assistance glasses to a certain extent.

[0053] In some implementations, the driver assistance glasses also include a camera module and an assistance control module, with the camera module embedded in the frame; The camera module is configured to: acquire first-view image data and head posture data of the driver, and transmit the first-view image data and head posture data to the vehicle. The vehicle analyzes and processes the first-view image data, head posture data and / or the acquired vehicle status data to generate auxiliary control commands and send them to the auxiliary control module. The auxiliary control module is configured to receive auxiliary control commands sent by the vehicle and execute the assisted driving control corresponding to the auxiliary control commands.

[0054] In some implementations, the driver assistance glasses also include a camera module and an assistance control module, with the camera module embedded in the frame, and the vehicle also includes a data processing module; The camera module is configured to: acquire first-view image data and head posture data of the driver, and transmit the first-view image data and head posture data to the data processing module; The data processing module is configured to: analyze and process first-view image data, head posture data and / or collected vehicle status data through the onboard data processing model, generate auxiliary control commands and send them to the auxiliary control module; The auxiliary control module is configured to receive auxiliary control commands sent by the vehicle and execute the assisted driving control corresponding to the auxiliary control commands.

[0055] Specifically, the camera module is a visual acquisition component that is embedded in the frame of the driver assistance glasses and is used to collect first-person view image data and head posture data of the driver.

[0056] The auxiliary control module is a functional component integrated inside the glasses, used to receive instructions transmitted by the intelligent vehicle and execute corresponding assisted driving control operations.

[0057] First-person perspective image data is collected by the camera module from the driver's eye perspective, including image information of the road environment ahead and the driver's facial state.

[0058] The head posture data is collected by the camera module and reflects the characteristics of the driver's head posture changes such as rotation, pitch, and yaw.

[0059] Vehicle status data is collected by the intelligent vehicle itself and includes operational data such as driving speed, road conditions, and navigation parameters.

[0060] The data processing module is a built-in processing unit in intelligent vehicles, capable of data fusion analysis and instruction generation.

[0061] The data processing model is an analytical model built into the data processing module used to determine the driver's state.

[0062] The auxiliary control command is a command signal generated by the intelligent vehicle after analyzing relevant data, used to control the auxiliary control module to perform operations.

[0063] Assisted driving control refers to various operational behaviors executed by the assisted control module according to instructions to assist the driver in driving safely.

[0064] The frame of the driver assistance glasses uses an embedded structure to install the camera module. The camera module adopts a simplified single-lens design and can work stably without the need for additional sensors.

[0065] In some implementations, the installation position of the camera module is optimized and adjusted so that it can simultaneously collect the driver's first-person perspective image data and head posture data. The first-person perspective image data includes the driver's field of vision of the road ahead and facial state information, while the head posture data includes the driver's head pitch, yaw, rotation and other posture changes.

[0066] After completing data acquisition, the camera module stably transmits the collected first-view image data and head posture data to the intelligent vehicle via in-vehicle wireless communication channels.

[0067] In some implementations, the data transmission process described above may be encrypted to ensure the security of data transmission.

[0068] After receiving data transmitted from the driver assistance glasses, the intelligent vehicle calls its own data processing module and uses the data processing model on the module to independently analyze the first-view image data, head posture data, or vehicle status data collected by the intelligent vehicle itself, or to perform fusion analysis by combining at least two of the above three types of data.

[0069] In some implementations, vehicle status data includes the vehicle's speed, real-time traffic conditions, navigation information, vehicle operating parameters, and other information.

[0070] After completing the analysis and calculation of the data, the intelligent vehicle generates auxiliary control commands adapted to the current intelligent driving scenario based on the analysis results. The auxiliary control commands can be sent to the auxiliary control module of the assisted driving glasses through wireless communication links, etc.

[0071] The auxiliary control module is integrated into the driver assistance glasses and functions in conjunction with the camera module. Upon receiving auxiliary control commands from the intelligent vehicle, the auxiliary control module executes the corresponding driver assistance control operations according to the parameters and logic of the commands. These operations revolve around the safety requirements of intelligent driving, including driving status prompts, risk warnings, and driving behavior assistance.

[0072] Understandably, both the camera module and the auxiliary control module are integrated into the frame, eliminating the need for redundant hardware in the glasses and ensuring a lightweight design and comfortable fit for the driver assistance glasses. Simultaneously, data processing utilizes the existing computing resources of the intelligent vehicle, eliminating the need for separate computing chips and processing modules on the driver assistance glasses themselves, thus reducing manufacturing costs. Furthermore, processing data locally within the intelligent vehicle, without relying on external networks or cloud platforms, eliminates data transmission latency and network dependency issues, ensuring the real-time performance and data security of the driver assistance control.

[0073] The following example of an actual assisted driving process will be used to explain the assisted driving glasses and assisted driving system of this application: The driver assistance glasses have an integrated single-camera module embedded above the bridge of the nose, eliminating the need for additional sensing components such as gravity acceleration sensors. During intelligent driving, the camera module simultaneously completes the data collection work for driver status detection and environmental perception.

[0074] The data collected by the camera module is encrypted and transmitted to the cockpit computing unit, i.e. the data processing module, of the smart vehicle through in-vehicle communication technologies such as Wireless Fidelity (Wi-Fi). The cockpit computing unit directly reuses the multimodal large model, i.e. the data processing model natively equipped in the smart vehicle, to complete the data processing without additional investment in algorithm development and hardware computing power costs. Moreover, the processing can resist interference from driving environment, noise, and changes in light.

[0075] Subsequently, the intelligent vehicle sends the auxiliary control commands generated by the data processing back to the auxiliary control module. The auxiliary control module then executes the assisted driving control corresponding to the auxiliary control commands. For example, when it detects that the driver's head-down movement exceeds a safety threshold, the data processing module generates a risk warning auxiliary control command, and the auxiliary control module executes the warning prompt operation corresponding to the risk warning auxiliary control command.

[0076] Thus, in this embodiment, the driver's first-view image data and head posture data are collected by a camera module embedded in the frame of the driver assistance glasses, and stably transmitted to the vehicle. The vehicle's data processing module analyzes and processes the first-view image data, head posture data, and / or vehicle status data collected by the vehicle itself, generates auxiliary control commands adapted to the current intelligent driving scenario, and sends them to the auxiliary control module. The auxiliary control module receives the auxiliary control commands and executes the corresponding driver assistance control, thereby realizing the interconnection and collaborative control of perception data between the driver assistance glasses and the intelligent vehicle. Compared with the solution of in-vehicle intelligent glasses that rely on redundant configuration of multiple sensors, independent computing power modules, or cloud data processing, this effectively simplifies the hardware structure of driver assistance glasses, eliminating the need for additional perception sensors and independent processing chips. This reduces the hardware cost and manufacturing difficulty of the product to a certain extent, thereby improving the mass production adaptability of driver assistance glasses to a certain extent. Moreover, relying on the local computing power of the intelligent vehicle to complete data processing, without uploading to the cloud platform, avoids network dependence and data transmission delay issues to a certain extent, improves the response efficiency of driver assistance control, avoids the leakage of driver data, and ensures privacy and security during intelligent driving. Furthermore, the fusion analysis of driver status data and vehicle status data has improved the matching degree between assisted control commands and intelligent driving scenarios to a certain extent, ensuring the accuracy and pertinence of assisted driving control.

[0077] Please refer to the following: Figure 3 and Figure 4 In some embodiments, the auxiliary control module includes a directional speaker 131 and / or a diffractive waveguide lens 120. The directional speaker 131 is located inside the temple 130 of the driver assistance glasses 100 and the sound direction is directed toward the driver's ear. The diffractive waveguide lens 120 is embedded in the frame 110. The directional speaker 131 is configured to: output directional voice prompts corresponding to the auxiliary control commands, based on the auxiliary control commands; and / or The diffractive waveguide lens 120 is configured to project an augmented reality virtual image corresponding to the auxiliary control command, according to the auxiliary control command.

[0078] Specifically, the directional speaker 131 is a voice output component that is installed on the inside of the temple 130 of the driver assistance glasses 100 and achieves directional sound transmission through sound wave focusing technology and the like.

[0079] The temples 130 are extensions of the frame 110 used for wearing and fixing, and for mounting directional speakers 131.

[0080] The diffractive waveguide lens 120 is a display component that is embedded in the frame 110 and enhances the virtual image of reality through optical diffraction and projection principles.

[0081] Targeted voice prompts are voice prompts that are only transmitted to the driver's ears and do not interfere with other people.

[0082] The augmented reality image is a virtual auxiliary visual image projected by the diffractive waveguide lens 120 and integrated with the real road conditions.

[0083] The auxiliary control module, as the execution unit of the driver assistance glasses 100, integrates functional components such as the directional speaker 131 and the diffractive waveguide lens 120.

[0084] In some embodiments, the directional speaker 131 is fixedly installed on the inner side of the temple 130 of the driver assistance glasses 100 using embedded integration technology, and the installation position has undergone multiple acoustic tests and angle optimizations to ensure that the sound direction is always directed towards the driver's ear area.

[0085] The directional speaker 131 uses sound wave focusing technology to concentrate the voice signal and propagate it in a specific direction, forming a closed directional sound field to physically block the sound from spreading to other areas inside the vehicle.

[0086] In some embodiments, the diffractive waveguide lens 120 can be made of an ultra-thin optical substrate and fixed in a preset mounting slot of the frame 110 by a high-precision embedding process. The connection between the diffractive waveguide lens 120 and the frame 110 is tight and seamless, does not protrude from the surface of the frame 110, does not occupy the optical working area of ​​the diffractive waveguide lens 120, and retains the basic vision function and optical transparency of the glasses.

[0087] After the first-view image data and head posture data collected by the camera module 112 are transmitted to the intelligent vehicle 200, the intelligent vehicle 200 combines the vehicle status data to complete the analysis and generate auxiliary control commands. The auxiliary control commands are stably transmitted to the auxiliary control module through the wireless communication link.

[0088] After receiving the auxiliary control command, the auxiliary control module executes the corresponding control operation according to the auxiliary control command.

[0089] When the auxiliary control command is a voice prompt, the directional speaker 131 converts the auxiliary control command into a clear voice signal and transmits it directionally to the driver's ear. The propagation range of the voice signal is limited to the area around the driver's ear and will not spread to other areas of the vehicle. Other locations in the vehicle cannot receive the clear prompt sound.

[0090] When the auxiliary control command is a visual display command, the diffractive waveguide lens 120 uses its internal optical diffraction structure to convert the visual information corresponding to the auxiliary control command into an augmented reality virtual image and project it into the driver's field of vision. The projection position and angle of the virtual image are calibrated to match the driver's real-time field of vision and the actual road conditions, thus realizing the visualization of auxiliary information.

[0091] In some implementations, the directional speaker 131 and the diffractive waveguide lens 120 can operate independently or work synchronously in accordance with the auxiliary control command requirements, thus meeting the information output needs of different intelligent driving scenarios.

[0092] The following explanation uses a lane-changing assisted driving process as an example to illustrate the assisted driving glasses of this application: In real-world applications, when a smart vehicle approaches a section of road requiring a lane change, it generates corresponding auxiliary control commands and transmits them to the auxiliary control module. A directional speaker emits a lane change warning voice signal from the inside of the mirror temple. This voice warning is only perceptible to the driver; passengers inside the vehicle cannot hear it, thus avoiding any interference. Simultaneously, a diffractive waveguide lens projects an augmented reality image of the lane change guidance into the driver's forward field of vision. This augmented reality image is aligned with the lane lines on the real road.

[0093] When an intelligent vehicle detects an obstacle ahead, the auxiliary control command simultaneously triggers the directional speaker and the diffractive waveguide lens. The directional voice prompts and warning augmented reality images are output simultaneously, allowing the driver to receive hazard warnings without having to shift their gaze. This achieves personalized and interference-free intelligent driving assistance to a certain extent, ensuring the safety of intelligent driving and maintaining the riding experience of passengers in the vehicle.

[0094] Thus, in this embodiment, the auxiliary control module of the driver-assistance glasses receives auxiliary control commands transmitted from the vehicle and responds to these commands by controlling a directional speaker located on the inner side of the temples, pointing towards the driver's ear, to output corresponding directional voice prompts. It also controls a diffractive waveguide lens embedded in the frame to project a corresponding augmented reality image. This achieves personalized voice transmission and visual augmented reality display of driver-assistance information. Compared to a solution using omnidirectional broadcast voice announcements and conventional lens displays, the directional speaker enables directional transmission of voice information, avoiding interference with passengers in the vehicle to some extent, thus improving the user experience in multi-passenger scenarios. Furthermore, the projection of the augmented reality image by the diffractive waveguide lens achieves accurate matching between the augmented reality image and the driver's field of vision, reducing instances where the driver's gaze deviates from the road surface and improving the driving safety of intelligent driving. In addition, the coordinated output of directional voice prompts and augmented reality images enhances the transmission effect of driver-assistance information, effectively reducing the risk of driver distraction and improving the driving safety of intelligent driving.

[0095] In some implementations, the auxiliary control commands include at least one of driving risk warning commands, augmented reality display calibration commands, and voice interaction execution commands; The directional speaker is configured to: output directional voice prompts corresponding to driving risk warning commands, and / or output directional voice prompts corresponding to voice interaction execution commands; and / or The diffractive waveguide lens is configured to: project an augmented reality image corresponding to the driving risk warning instruction, and / or adjust the projection angle and position of the augmented reality image according to the augmented reality display calibration instruction.

[0096] Specifically, the driving risk warning instruction is a command generated by an intelligent vehicle after detecting a driving safety risk, used to trigger a warning prompt.

[0097] Augmented reality display calibration commands are used to adjust the projection state of augmented reality virtual images to align the virtual images with the driver's field of vision.

[0098] Voice interaction execution commands are used to trigger voice interaction responses and complete human-vehicle interaction.

[0099] The projection angle is the optical propagation angle parameter when an augmented reality virtual image is projected.

[0100] The projection position is the display coordinate position of the augmented reality image within the driver's field of vision.

[0101] Assisted control commands can be categorized into driving risk warning commands, augmented reality display calibration commands, and voice interaction execution commands. These assisted control commands can be generated and issued individually by the intelligent vehicle, or they can be generated and issued in combination according to the actual driving scenario.

[0102] The camera module continuously collects first-person view image data and head posture data from the driver and transmits the data to the intelligent vehicle. The intelligent vehicle combines the vehicle status data it has collected to perform multi-dimensional analysis and generates corresponding auxiliary control commands based on the analysis results.

[0103] When an intelligent vehicle determines that there is a safety risk during intelligent driving, it generates and issues a driving risk warning command. After receiving the driving risk warning command, the directional speaker outputs a warning-type directional voice prompt that matches the risk type, reminding the driver to avoid driving risks. The sound is only transmitted to the driver's ears and will not spread to other areas of the vehicle.

[0104] When the diffractive waveguide lens receives the driving risk warning command, it projects an augmented reality image corresponding to the risk type and displays the image in the driver's field of vision, thus enhancing the risk reminder effect through visualization.

[0105] When an intelligent vehicle needs to adjust the state of its augmented reality virtual image display, it generates and issues an augmented reality display calibration command. After receiving the augmented reality display calibration command, the diffractive waveguide lens adjusts the projection angle and projection position of the augmented reality virtual image in combination with the command parameters. This ensures, to a certain extent, that the augmented reality virtual image remains aligned with the driver's field of vision, eliminating the problem of virtual image misalignment.

[0106] When an intelligent vehicle needs to complete a voice interaction response, it generates and issues a voice interaction execution command. After receiving the voice interaction execution command, the directional speaker outputs an interactive directional voice prompt that matches the interaction content, thus completing the closed-loop response of human-vehicle voice interaction.

[0107] Thus, in this embodiment, the auxiliary control commands include at least one of driving risk warning commands, augmented reality display calibration commands, and voice interaction execution commands. The driving risk warning command controls the directional speaker to output a corresponding directional voice prompt, and / or the voice interaction execution command controls the directional speaker to output a corresponding directional voice prompt. The driving risk warning command controls the diffractive waveguide lens to project a corresponding augmented reality virtual image, and / or the augmented reality display calibration command controls the diffractive waveguide lens to adjust the projection angle and position of the augmented reality virtual image. This enables differentiated execution of different types of auxiliary control commands by the assisted driving glasses. Compared to solutions with single control command types and fixed execution methods, this approach can cover the auxiliary needs of all scenarios, including driving risk warning, augmented reality display calibration, and voice interaction. This improves the scenario adaptability of the assisted driving glasses to a certain extent. Furthermore, the correspondence between the auxiliary control commands and the executed actions is clear, effectively avoiding command execution errors and improving the safety and practicality of intelligent driving assistance to a certain degree.

[0108] In some implementations, the auxiliary control module includes a directional speaker and / or a diffractive waveguide lens. The directional speaker is located inside the temple of the driver assistance glasses and the sound is directed toward the driver's ear. The diffractive waveguide lens is embedded in the frame. The auxiliary control commands include driving risk warning commands. The data processing module is configured to: perform fusion analysis on first-view image data, head posture data, and vehicle status data to determine the driver's status; If the driver is determined to be in a dangerous driving state, a driving risk warning command is generated and sent to the auxiliary control module; The directional speaker is configured to: output directional voice prompts corresponding to the driving risk warning command; and / or The diffractive waveguide lens is configured to project an augmented reality image corresponding to the driving risk warning instruction, based on the driving risk warning instruction.

[0109] Specifically, driver status refers to the driving behavior state that reflects whether the driver is focused on observing the road surface, etc.

[0110] Dangerous driving conditions refer to dangerous driving situations such as the driver's line of sight deviating from the road surface.

[0111] After receiving the first-view image data and head posture data transmitted by the camera module, as well as the vehicle status data collected by the intelligent vehicle, the data processing module of the assisted driving system calls the built-in data processing model to fuse and analyze the first-view image data, head posture data and vehicle status data collected by the intelligent vehicle itself in order to determine the driver's current driving state.

[0112] In some implementations, the data processing model can extract features such as the driver's line of sight, head posture angle, and vehicle driving status during the analysis process. The driver's current driving status can be determined through multi-feature cross-validation, with a focus on identifying whether the driver is in a safe state of continuously observing the road surface.

[0113] When the data processing module determines that the driver is in a dangerous driving state through analysis, it generates a corresponding driving risk warning command and transmits the driving risk warning command to the auxiliary control module of the driver assistance glasses through a wireless communication link.

[0114] After receiving the auxiliary control command, the directional speaker outputs a directional voice prompt matched to the current driving risk. The voice signal uses sound wave focusing technology to limit its propagation range, forming a clear sound field only at the driver's ears and preventing it from spreading to other areas of the vehicle. Simultaneously, the diffractive waveguide lens responds to the driving risk warning command, projecting an augmented reality image corresponding to the driving risk. This augmented reality image is displayed in the driver's field of vision, closely integrated with the actual road conditions, effectively enhancing the visual warning effect of the risk.

[0115] The following uses a constant-speed driving assisted driving process as an example to explain the assisted driving system of this application: For example, when a smart vehicle is cruising at 80 km / h, if the driver looks down at their phone and their head tilts to 35°, exceeding the safety threshold of 25°, the camera module of the driver assistance glasses will complete data acquisition and transmission to the data processing module within 1.2 seconds.

[0116] The data processing module integrates first-person perspective image data, head posture data, and vehicle speed data to determine if the driver is in a dangerous driving state, generate a driving risk warning command, and transmit it to the driver assistance glasses.

[0117] The directional speaker on the driver assistance glasses outputs a directional voice prompt urging the driver to look ahead immediately. The voice prompt is only perceptible to the driver, and the diffractive waveguide lens projects a flashing red warning image at a frequency of 2Hz, enhancing the real-world experience. Furthermore, the data processing in the above process is localized without cloud interaction, with a transmission time of only 18ms.

[0118] After the driver looks up to resume observing the road conditions and other normal driving conditions, the camera module detects the posture recovery within 0.5 seconds. The intelligent vehicle determines that the dangerous situation has been resolved, generates a control command, and stops the voice prompts and augmented reality image projection, effectively avoiding the risks of intelligent driving.

[0119] Thus, in this embodiment, the data processing module of the assisted driving system fuses and analyzes first-view image data, head posture data, and vehicle status data to determine the driver's state. When the system determines the driver is in a dangerous driving state, it generates a driving risk warning command and sends it to the directional speaker and diffractive waveguide lens of the assisted driving glasses. The directional speaker outputs directional voice prompts, and the diffractive waveguide lens projects an augmented reality virtual image. This achieves real-time recognition of the driver's driving state and dual audio-visual warnings. Compared to warning schemes using omnidirectional broadcast voice and central control screen prompts, this method ensures the warning voice only travels to the driver's ears, and the warning virtual image is only projected into the driver's exclusive field of vision. This, to a certain extent, avoids interference with other passengers in the vehicle, improves the targeting and response speed of risk warnings, and completes data processing and command generation locally in the intelligent vehicle, eliminating the need for cloud data interaction and reducing data transmission latency and privacy leakage risks. Furthermore, the coordinated warning method of directional voice and augmented reality virtual image enhances the effect of hazard reminders, helps drivers correct dangerous driving behaviors, and reduces driving safety hazards of intelligent driving to a certain extent.

[0120] Please see Figure 5 In some implementations, the auxiliary control module includes a diffractive waveguide lens embedded in the frame, and the auxiliary control commands also include augmented reality display calibration commands, and the vehicle status data includes navigation data; The data processing module is configured to: perform fusion analysis on first-view image data, head posture data and navigation data, generate calibration parameters for augmented reality virtual images, and generate augmented reality display calibration instructions corresponding to the calibration parameters and send them to the diffractive waveguide lens; The diffractive waveguide lens is configured to adjust the projection angle and position of the augmented reality virtual image according to the augmented reality display calibration instructions.

[0121] Specifically, navigation data is output by the navigation system of intelligent vehicles, including navigation-related data such as route turns and intersection information.

[0122] The calibration parameters are indicators used to correct the projection angle and position of augmented reality virtual images.

[0123] The navigation data in the vehicle status data includes navigation route planning, turn prompts, intersection locations, lane distribution, and driving destination.

[0124] After acquiring navigation data, as well as first-view image data and head posture data collected by the camera module of the driver assistance glasses, the data processing module calls the built-in data processing model to fuse and analyze the first-view image data, head posture data and navigation data.

[0125] In some implementations, during the above-mentioned fusion analysis process, the data processing model first extracts the driver's real-time field of view and line of sight characteristics from the first-person perspective image data, then combines the head posture data to determine the driver's head spatial posture and rotation offset, and finally fuses the route and road condition information in the navigation data. Through spatiotemporal alignment and scene matching calculations, calibration parameters for the augmented reality virtual image are generated. The calibration parameters include indicators such as the projection angle, projection position, display offset coefficient, and optical adjustment amount of the augmented reality virtual image.

[0126] The data processing module generates corresponding augmented reality display calibration instructions based on the calibration parameters, and transmits the augmented reality display calibration instructions to the diffractive waveguide lens of the driver assistance glasses via a wireless communication link.

[0127] After receiving the augmented reality display calibration command, the diffractive waveguide lens adjusts its internal optical diffraction structure in real time according to the calibration parameters, changes the propagation path and projection direction of the light signal, and dynamically corrects the projection angle and projection position of the augmented reality virtual image, so that the augmented reality virtual image always remains aligned with the driver's real-time field of vision, the actual driving conditions, and the navigation route, eliminating the problem of virtual image misalignment.

[0128] The following example of a cornering-assisted driving process will be used to explain the assisted driving system of this application: When the intelligent vehicle needs to turn right at a distance of 50m from the intersection, the driver tilts his head 20° to the left to observe oncoming vehicles. The camera module of the driver assistance glasses tracks the driver's head posture at a high frequency of 60Hz, calculates the head rotation matrix and yaw angle, and transmits the data to the data processing module in real time.

[0129] The data processing module integrates the navigation data for turning right 50m ahead output by the navigation module with the first-view image data and head posture data collected by the camera module of the driver assistance glasses to generate augmented reality virtual image calibration instructions.

[0130] After receiving the augmented reality virtual image calibration command, the diffractive waveguide lens adjusts the navigation arrow virtual image 20° to the right through optical phase modulation to ensure that the navigation arrow is accurately aligned with the real right-turn lane. The position error of the adjusted augmented reality virtual image is less than 3°.

[0131] In addition, after the driver's head is straightened, the camera module continuously monitors the posture change, and the diffractive waveguide lens simultaneously calibrates the position of the augmented reality image to ensure that the augmented reality image is free from visual misalignment.

[0132] Thus, in this embodiment, the data processing module of the assisted driving system fuses and analyzes first-view image data, head posture data, and navigation data to generate calibration parameters for the augmented reality virtual image. Based on these parameters, it generates augmented reality display calibration instructions and transmits them to the diffractive waveguide lens. The diffractive waveguide lens adjusts the projection angle and position of the augmented reality virtual image according to the calibration instructions. This achieves dynamic calibration of the augmented reality virtual image in the assisted driving system based on the driver's head posture and the navigation scene. Compared to solutions using fixed projection parameters that cannot adapt to changes in head posture, this ensures that the augmented reality virtual image remains aligned with the driver's real-time field of vision and actual road conditions. This can, to some extent, eliminate the safety hazards of intelligent driving caused by virtual image misalignment. Furthermore, data processing is completed using the local computing power of the intelligent vehicle, eliminating the need for cloud data interaction, which reduces data transmission latency and improves calibration response speed. In addition, the dynamic calibration method makes the navigation assistance information more consistent with actual intelligent driving scenarios, reducing the frequency of the driver's gaze deviating from the road surface and improving the safety and user experience of in-vehicle augmented reality navigation.

[0133] In some implementations, the auxiliary control module includes a directional speaker located inside the temple of the driver assistance glasses and emitting sound towards the driver's ear. The vehicle also includes a voice acquisition module, and the auxiliary control commands include voice interaction execution commands. The voice acquisition module is configured to collect the driver's voice command data; The data processing module is configured to: parse and process voice command data and vehicle status data, determine the driver's driving intention, generate voice interaction execution commands corresponding to the driving intention, and send them to the directional speaker; The directional speaker is configured to output directional voice prompts corresponding to the voice interaction execution commands.

[0134] Specifically, the voice acquisition module is a data acquisition component installed inside the intelligent vehicle to collect driver voice command data.

[0135] The voice command data is issued by the driver, including voice information related to human-vehicle interaction needs.

[0136] Driving intent refers to the in-vehicle operation and interaction needs expressed by the driver through voice commands.

[0137] The smart vehicle is equipped with an in-vehicle wireless charging panel, a data processing module, and a voice acquisition module. The voice acquisition module is installed in a suitable location in the smart vehicle's cockpit, which can clearly capture the driver's voice commands without being excessively disturbed by ambient noise. The smart vehicle and the driver assistance glasses establish a stable and encrypted connection through the in-vehicle wireless communication channel, which to a certain extent ensures the smoothness and security of data and command transmission.

[0138] During the operation of the intelligent vehicle, the voice acquisition module continuously collects voice command data issued by the driver. The voice command data includes various human-vehicle interaction needs proposed by the driver, such as navigation queries, air conditioning adjustments, and vehicle control. The collected voice command data is transmitted to the intelligent vehicle's data processing module in real time.

[0139] After receiving the voice command data, the data processing module calls the built-in data processing model to fuse and analyze the voice command data with the vehicle status data collected by the intelligent vehicle itself.

[0140] In some implementations, the above parsing process first performs noise reduction and echo cancellation on the voice command data, and then combines the real-time operating status of the vehicle to complete semantic understanding and scene matching, eliminating environmental noise interference and invalid commands, so as to accurately identify the driver's true driving intention.

[0141] After determining the driver's driving intention, the data processing module generates a voice interaction execution command that matches the driving intention, and transmits the voice interaction execution command to the directional speaker of the driver assistance glasses through a wireless communication link.

[0142] After receiving the voice interaction execution command, the directional speaker responds and outputs the corresponding directional voice prompt. The voice signal uses sound wave focusing technology to limit the propagation range, forming a clear and stable sound field only around the driver's ears, and the sound will not spread to other areas of the vehicle.

[0143] The following example of a driver assistance process involving navigation will be used to explain the driver assistance system of this application: During the operation of an intelligent vehicle, the driver issues a navigation voice command to plan the route to the destination. The on-board voice acquisition module collects the voice command data and sends it to the data processing module. The data processing module combines the vehicle's current location, real-time speed, and other vehicle status data to complete the analysis, identify the driver's navigation planning intent, generate the corresponding voice interaction execution command, and transmit it to the directional speaker of the driver assistance glasses.

[0144] After receiving the voice interaction execution command, the directional speaker outputs a directional voice prompt indicating that the navigation route planning is complete. The voice prompt can only be perceived by the driver and cannot be heard by other passengers in the vehicle.

[0145] Thus, in this embodiment of the application, the voice acquisition module of the assisted driving system acquires the voice command data issued by the driver, and the data processing module analyzes and processes the voice command data and the acquired vehicle status data to determine the driver's true driving intention. Based on the driving intention, a voice interaction execution command is generated and transmitted to the directional speaker. The directional speaker outputs the corresponding directional voice prompt, thereby realizing accurate human-vehicle voice interaction in the assisted driving system. Compared with the solution of using omni-channel broadcast voice output, the voice interaction prompt sound only travels to the driver's ear, thereby avoiding interference with other passengers in the vehicle to a certain extent, maintaining the quietness of the riding environment. In addition, the combination of vehicle status data analysis method can improve the accuracy of driving intention recognition, reduce the occurrence of misidentification and misresponse to a certain extent, and improve the privacy and user experience of intelligent driving voice interaction.

[0146] In some implementations, the data processing module is configured to: analyze and process first-view image data, head posture data and / or vehicle status data through the onboard data processing model, generate vehicle-side execution commands, and execute assisted driving control corresponding to the vehicle-side execution commands, wherein the assisted driving control includes at least one of switching driving modes, increasing vehicle distance, and triggering seat belt warning.

[0147] Specifically, the vehicle-side execution command is a command signal generated by the data processing module to control the intelligent vehicle to perform safe operations.

[0148] Assisted driving control refers to the active control operations performed by intelligent vehicles based on instructions to improve driving safety.

[0149] Switching driving modes refers to the control operation that allows intelligent vehicles to automatically switch between driving modes such as normal mode and conservative mode.

[0150] Increasing vehicle spacing is a control operation where intelligent vehicles actively increase the safe distance from the vehicle in front.

[0151] The seatbelt warning is a physical reminder issued by intelligent vehicles by tightening the seatbelt.

[0152] The data processing module of the assisted driving system relies on the built-in data processing model to analyze and process the first-view image data and head posture data transmitted by the camera module, as well as the vehicle status data collected by the intelligent vehicle, to generate corresponding vehicle-side execution commands, and transmit the vehicle-side execution commands to the execution unit of the intelligent vehicle to control the intelligent vehicle to perform the corresponding assisted driving control operations.

[0153] Assisted driving control includes control operations such as switching driving modes, increasing the distance between vehicles, and triggering seat belt warnings.

[0154] When the data processing module determines that the driver is slightly distracted, it can generate a command to control the intelligent vehicle to switch driving modes, changing the normal driving mode to a conservative driving mode, in order to reduce the dynamic response speed of the intelligent vehicle and improve the stability of intelligent driving.

[0155] When the data processing module determines that the driver is moderately distracted and the intelligent vehicle is traveling at medium to high speed, it can generate instructions to control the intelligent vehicle to actively increase the distance between itself and the vehicle in front, expand the safe driving distance, and reserve sufficient reaction and braking space.

[0156] When the data processing module determines that the driver is severely distracted or fatigued, it can generate a command to control the intelligent vehicle to trigger a seat belt warning. This physical reminder, achieved by slightly tightening the seat belt, will alert the driver.

[0157] The above three types of control operations can be executed individually or in combination without the need for manual operation by the driver, thus achieving coordination between the perception at the driver assistance glasses and the control at the intelligent vehicle.

[0158] The following uses a constant-speed driving assisted driving process as an example to explain the assisted driving system of this application: When a smart vehicle is cruising at a constant speed of 80 km / h, the driver looks down at his phone, and the head tilt angle reaches 35°, exceeding the safety threshold of 25°.

[0159] The camera module completes the acquisition of first-view image data and head posture data within 1.2 seconds and transmits them to the data processing module. The data processing module integrates the first-view image data, head posture data and vehicle speed data to complete the analysis, determines that the driver is in a high-risk distracted state, and generates vehicle-side execution commands.

[0160] After receiving the execution command from the vehicle, the intelligent vehicle's execution unit simultaneously executes three driver assistance controls: switching the normal driving mode to a conservative driving mode, increasing the following distance by 50%, and triggering a seatbelt warning to slightly tighten the seatbelt. The transmission time for the intelligent vehicle's execution command is 18ms.

[0161] After the driver looks up and resumes normal driving, the camera module detects the posture recovery within 0.5 seconds. The intelligent vehicle generates a release command and gradually returns to the initial operating state, achieving proactive and intelligent safety protection.

[0162] Thus, in this embodiment, the data processing module's built-in data processing model analyzes and processes the first-view image data, head posture data, and vehicle status data to generate corresponding vehicle-side execution commands. The vehicle is then controlled to execute at least one of the following driver assistance controls based on these commands: switching driving modes, increasing vehicle distance, or triggering seatbelt warnings. This achieves coordinated safety protection through the driver assistance glasses' perception and the vehicle's active control. Compared to solutions that only provide single warnings from the glasses and cannot actively adjust the vehicle's operating status, this approach allows the driver assistance system to proactively execute corresponding safety control operations based on the driver's real-time status and the vehicle's operating status. This reduces the risks of intelligent driving to some extent, decreases the frequency of manual driver operations, and allows multiple types of driver assistance controls to be executed individually or in combination according to risk levels, adapting to the safety protection needs of different intelligent driving scenarios. This, in turn, enhances the intelligence level and safety protection capabilities of the driver assistance system.

[0163] It should be noted that the driver assistance glasses in some of the above embodiments may also be equipped with a voice acquisition module. However, in some embodiments of this application, the voice acquisition module on the intelligent vehicle side is mainly used for voice acquisition in order to ensure the stability of the acquired signal and reduce the power consumption of the driver assistance glasses.

[0164] Please refer to the following: Figure 3 , Figure 6 and Figure 7 The following example of an actual assisted driving process will be used to explain the assisted driving glasses and assisted driving system of this application: The driver assistance glasses are the terminal device of the driver assistance system. The frame serves as the supporting structure, and it integrates a wireless charging coil using an injection molding process. This wireless charging coil is a 3mm wide rectangular ring structure with one-fifth the number of turns of a conventional 20mm wide coil of the same size in related technologies. It is arranged parallel to the lenses and can form an electromagnetic coupling with the vehicle's onboard wireless charging panel to achieve wireless charging. The formula for calculating the wireless charging efficiency is as follows:

[0165] in, For wireless charging efficiency, The coupling coefficient is... This is the coefficient affecting the coil quality factor. For tuning matching coefficients.

[0166] In the embodiments of this application, the coupling coefficient The value is 0.32, which is the influence coefficient of the coil quality factor. The value is 0.9, and the tuning matching coefficient is... The value of is 0.95. According to the above formula for calculating wireless charging efficiency, the wireless charging efficiency in this embodiment can be calculated to be approximately:

[0167] In some implementations, the actual charging power obtained by the driver assistance glasses is:

[0168] in, The actual output power is the power actually obtained by the wireless charging coil of the driver assistance glasses, measured in watts (W). Input power refers to the power provided by the onboard wireless charging panel of a smart vehicle, measured in watts (W).

[0169] In this embodiment, the input power of the vehicle-mounted wireless charging panel is 50W, and the actual output power is approximately:

[0170] In some implementations, the formula for calculating the charging time of the driver assistance glasses is:

[0171] in, Charging time is expressed in hours (h). Battery capacity, measured in milliampere-hours (mAh). This is the nominal voltage, measured in volts (V). For conversion efficiency.

[0172] In this embodiment of the application, the 2000mAh battery for driver assistance glasses is charged from 15% to 80% in approximately 58 minutes.

[0173] In addition, in some embodiments, the frame of the driver assistance glasses is also embedded with a camera module. The camera module is a single-camera structure, installed above the bridge of the nose of the frame, and is used to collect the driver's first-person view image data and head posture data. The driver assistance glasses integrate an auxiliary control module, which includes a directional speaker and a diffractive waveguide lens. The directional speaker is located on the inside of the temple and the sound direction is directed towards the driver's ear. The diffractive waveguide lens is embedded in the frame. The directional speaker is used to output directional voice prompts, and the diffractive waveguide lens is used to project or adjust the projection angle and position of the augmented reality virtual image.

[0174] The driver assistance system is composed of driver assistance glasses and intelligent vehicles working together. It adopts a five-layer architecture design, including perception layer, transmission layer, processing layer, execution layer and power replenishment layer. The perception layer includes a glasses-side perception module and an on-board perception module. The glasses-side perception module integrates a camera module to complete the collection of driver status and environmental data, while the on-board perception module reuses the intelligent vehicle's native sensors to obtain vehicle status data.

[0175] The transport layer includes an in-vehicle Wi-Fi module and an encryption protocol. The in-vehicle Wi-Fi module can ensure a data transmission rate of more than 500 Mbps. The encryption protocol can adopt Wi-Fi Protected Access 3 (WPA3) and Transport Layer Security 1.3 (TLS1.3) standards to ensure the security of data transmission.

[0176] The processing layer is centered on the cockpit computing unit of the intelligent vehicle, and is equipped with data fusion algorithms, instruction generation units and display correction algorithms. The cockpit computing unit reuses the intelligent vehicle's native multimodal large model and computing resources. The data fusion algorithm is used to perform multi-dimensional fusion analysis on first-person view image data, head posture data, vehicle status data, navigation data, voice command data and so on. The instruction generation unit is used to generate driving risk warning instructions, augmented reality display calibration instructions, voice interaction execution instructions and vehicle-side execution instructions. The display correction algorithm is used to calculate the calibration parameters of the augmented reality virtual image.

[0177] The execution layer includes the glasses-side execution module (i.e., the auxiliary control module) and the vehicle-mounted execution module. The glasses-side execution module controls the directional speaker and the diffractive waveguide lens to complete the execution of commands, while the vehicle-mounted execution module works in conjunction with the driver assistance module to regulate the vehicle's operating status.

[0178] The charging layer achieves charging through electromagnetic coupling between the wireless charging coil and the vehicle's wireless charging panel. The dynamic tuning module automatically matches mainstream vehicle wireless charging protocols, enabling charging without modifying the smart vehicle.

[0179] During the operation of the intelligent vehicle, the camera module collects the driver's first-person view image data and head posture data, the voice acquisition module collects the driver's voice command data, and the vehicle data interface simultaneously acquires navigation data and vehicle status data, thus completing the collection of multi-source data.

[0180] Subsequently, the visual data preprocessing submodule extracts keyframes from the first-view image data, the voice data preprocessing submodule performs noise reduction and echo cancellation on the voice command data, the data encryption submodule encrypts the preprocessed data, and finally, the lightweight processed data is transmitted to the cockpit multimodal processing unit via the in-vehicle Wi-Fi module.

[0181] The cockpit multimodal processing unit performs data analysis through a built-in data processing model. The driving state judgment submodule integrates first-view image data, head posture data, and vehicle status data to determine whether the driver is in a dangerous driving state without observing the road. The voice intent parsing submodule parses voice command data and vehicle status data to determine the driver's driving intent. The AR parameter calculation submodule integrates first-view image data, head posture data, and navigation data to generate calibration parameters for the augmented reality virtual image.

[0182] After completing the data analysis, the instruction generation unit generates corresponding auxiliary control instructions and vehicle-side execution instructions, and the instruction distribution unit distributes the auxiliary control instructions and vehicle-side execution instructions to the glasses-side execution module and the vehicle-mounted execution module.

[0183] At the glasses, directional speakers output warning-type directional voice prompts based on driving risk warning commands and interactive directional voice prompts based on voice interaction execution commands. Diffractive waveguide lenses project warning-type augmented reality images based on driving risk warning commands and adjust the projection angle and position of the augmented reality images based on augmented reality display calibration commands.

[0184] On the intelligent vehicle side, the driver assistance module executes at least one driver assistance control operation based on the vehicle-side command, such as switching driving modes, increasing the distance between vehicles, or triggering a seat belt warning, to build a safety protection system for intelligent driving.

[0185] In addition, in some implementations, the driver assistance system also includes a real-time feedback optimization phase. The real-time feedback optimization unit continuously collects driver posture change data through the camera module and vehicle operation update data through the vehicle perception module. The feedback data acquisition submodule sends the data back to the data processing model. The data processing model dynamically adjusts the command parameters based on the real-time feedback data. When the driver resumes observing the road conditions, the driver assistance system stops risk warnings. When the driver's head posture returns to normal, the diffractive waveguide lens corrects the augmented reality virtual image to the standard position.

[0186] It is understood that a computer program includes computer program code. Computer program code can be in the form of source code, object code, executable files, or some intermediate form. Computer-readable storage media can include: any entity or device capable of carrying computer program code, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), and software distribution media, etc.

[0187] In this specification, the terms "specifically," "furthermore," "particularly," "understandably," etc., refer to specific features, structures, materials, or characteristics described in connection with embodiments or examples that are included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0188] Any process or method description in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of executable request code comprising one or more steps for implementing a particular logical function or process, and the scope of the preferred embodiments of this application includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order according to the functions involved, as should be understood by those skilled in the art to which embodiments of this application pertain.

[0189] Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of this application.

Claims

1. A driver assistance glasses, characterized in that, The driver assistance glasses include a frame, and a wireless charging coil is embedded in the frame; The wireless charging coil is configured to be electromagnetically coupled to the vehicle-mounted wireless charging panel to wirelessly charge the driver assistance glasses.

2. The driver assistance glasses according to claim 1, characterized in that, The driver assistance glasses also include a camera module and an auxiliary control module, with the camera module embedded in the frame; The camera module is configured to: acquire first-view image data and head posture data of the driver, and transmit the first-view image data and the head posture data to the vehicle, wherein the vehicle analyzes and processes the first-view image data, the head posture data and / or the acquired vehicle status data, generates auxiliary control commands and sends them to the auxiliary control module; The auxiliary control module is configured to receive the auxiliary control command sent by the vehicle and execute the assisted driving control corresponding to the auxiliary control command.

3. The driver assistance glasses according to claim 2, characterized in that, The auxiliary control module includes a directional speaker and / or a diffractive waveguide lens. The directional speaker is located inside the temple of the driver assistance glasses and the sound is directed towards the driver's ear. The diffractive waveguide lens is embedded in the frame. The directional speaker is configured to: output directional voice prompts corresponding to the auxiliary control commands; and / or The diffractive waveguide lens is configured to project an augmented reality virtual image corresponding to the auxiliary control command, according to the auxiliary control command.

4. The driver assistance glasses according to claim 3, characterized in that, The auxiliary control commands include at least one of the following: driving risk warning commands, augmented reality display calibration commands, and voice interaction execution commands; The directional speaker is configured to: output a directional voice prompt corresponding to the driving risk warning instruction according to the driving risk warning instruction, and / or output a directional voice prompt corresponding to the voice interaction execution instruction according to the voice interaction execution instruction; and / or The diffractive waveguide lens is configured to: project an augmented reality image corresponding to the driving risk warning instruction according to the driving risk warning instruction, and / or adjust the projection angle and position of the augmented reality image according to the augmented reality display calibration instruction.

5. A driver assistance system, characterized in that, The system includes driver assistance glasses as described in any one of claims 1-4 and a vehicle, the driver assistance glasses including a frame, the frame having a wireless charging coil embedded therein, the vehicle including an in-vehicle wireless charging panel, and the vehicle being communicatively connected to the driver assistance glasses; The wireless charging coil is configured to be electromagnetically coupled to the in-vehicle wireless charging panel to wirelessly charge the driver assistance glasses.

6. The system according to claim 5, characterized in that, The driver assistance glasses also include a camera module and an auxiliary control module. The camera module is embedded in the frame. The vehicle also includes a data processing module. The camera module is configured to: acquire first-view image data and head posture data of the driver, and transmit the first-view image data and the head posture data to the data processing module; The data processing module is configured to: analyze and process the first-view image data, the head posture data, and / or the collected vehicle status data through the onboard data processing model, generate auxiliary control commands, and send them to the auxiliary control module; The auxiliary control module is configured to receive the auxiliary control command sent by the vehicle and execute the assisted driving control corresponding to the auxiliary control command.

7. The system according to claim 6, characterized in that, The auxiliary control module includes a directional speaker and / or a diffractive waveguide lens. The directional speaker is located inside the temple of the driver assistance glasses and the sound direction is directed towards the driver's ear. The diffractive waveguide lens is embedded in the frame. The auxiliary control commands include driving risk warning commands. The data processing module is configured to perform fusion analysis on the first perspective image data, the head posture data, and the vehicle status data to determine the driver's status. If the determination result indicates that the driver is in a dangerous driving state, the driving risk warning command is generated and sent to the auxiliary control module; The directional speaker is configured to output a directional voice prompt corresponding to the driving risk warning command, based on the driving risk warning command. and / or The diffractive waveguide lens is configured to project an augmented reality image corresponding to the driving risk warning instruction, based on the driving risk warning instruction.

8. The system according to claim 6, characterized in that, The auxiliary control module includes a diffractive waveguide lens, which is embedded in the frame. The auxiliary control commands also include augmented reality display calibration commands, and the vehicle status data includes navigation data. The data processing module is configured to: perform fusion analysis on the first perspective image data, the head posture data and the navigation data, generate calibration parameters for the augmented reality virtual image, and generate an augmented reality display calibration command corresponding to the calibration parameters and send it to the diffractive waveguide lens; The diffractive waveguide lens is configured to adjust the projection angle and position of the augmented reality virtual image according to the augmented reality display calibration command.

9. The system according to claim 6, characterized in that, The auxiliary control module includes a directional speaker located inside the temple of the driver assistance glasses and emitting sound towards the driver's ear. The vehicle also includes a voice acquisition module, and the auxiliary control commands include voice interaction execution commands. The voice acquisition module is configured to acquire the driver's voice command data; The data processing module is configured to: parse and process the voice command data and the vehicle status data, determine the driver's driving intention, generate a voice interaction execution command corresponding to the driving intention, and send it to the directional speaker; The directional speaker is configured to output a directional voice prompt corresponding to the voice interaction execution command, based on the voice interaction execution command.

10. The system according to any one of claims 6-9, characterized in that, The data processing module is configured to: analyze and process the first-view image data, the head posture data, and / or the vehicle status data through the onboard data processing model, generate vehicle-side execution commands, and execute assisted driving control corresponding to the vehicle-side execution commands, wherein the assisted driving control includes at least one of switching driving modes, increasing vehicle distance, and triggering seat belt warning.

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