Vehicle assisted driving system

Abstract

The application provides a vehicle auxiliary driving system. The system comprises a big data information processing system, a big data background center and a map server. The big data information processing system acquires first road information of a driving vehicle in real time and sends the first road information to the big data background center. The big data background center compares first road environment information in the first road information with stored road environment information and sends the first road environment information to the map server if it is judged that the current road environment has changed. The map server updates the stored road environment information to the first road information if it is judged that the first road environment information is consistent with the actual road environment and inconsistent with the stored road environment information according to the first road environment information. In the application, the data provided to the vehicle is accurate real-time auxiliary driving data, the flexibility of the auxiliary driving system is improved, and the driving experience of the user is improved.

Description

Technical Field

[0001] This application relates to intelligent driver assistance technology, and more particularly to a vehicle driver assistance system. Background Technology

[0002] With the rapid development of technology, intelligent assisted driving technology is being used more and more widely in the automotive field. It can provide drivers with road driving guidance to help them drive the vehicle more safely and comfortably.

[0003] In existing technologies, current vehicle driver assistance systems typically provide driving assistance functions to a single vehicle only through a remote map terminal, and can only provide pre-stored, fixed driver assistance data when road or weather conditions change in real time. This results in poor data accuracy and system flexibility, negatively impacting the user's driving experience. Summary of the Invention

[0004] This application provides a vehicle driver assistance system to address the problem that existing vehicle driver assistance systems suffer from poor data accuracy and system flexibility, which negatively impacts the user's driving experience.

[0005] In a first aspect, this application provides a vehicle-assisted driving system, including: a big data information processing system, a big data back-end center, and a map service provider server;

[0006] The big data information processing system is used to acquire first road information of driving vehicles in real time. The first road information includes one or more of the following: first road environment information, first traffic condition information, and first weather information, and sends the first road information to the big data back-end center.

[0007] The big data backend center is used to compare the first road environment information with its own stored road environment information to determine whether the current road environment has changed. If the current road environment has changed, the first road environment information is sent to the map provider server.

[0008] The map service server is used to determine whether the first road environment information is consistent with the actual road environment and with its own stored road environment information based on the first road environment information. If the first road environment information is consistent with the actual road environment but inconsistent with its own stored road environment information, then the map service server updates its own stored road environment information with the first road information.

[0009] Optionally, the map service provider server is also used for:

[0010] The second road information is obtained from any preset information channel or information platform. The second road information includes one or more of the following: second road environment information, second traffic condition information, and second weather information.

[0011] The second road information is sent to the big data backend center, so that the big data backend center sends the second road information to the vehicle's big data information processing system.

[0012] Optionally, the big data information processing system includes: a smart camera, a vehicle-mounted large screen terminal, a remote map terminal, and a driving controller;

[0013] The intelligent camera is used to collect road condition image information of driving vehicles in real time, and to perform desensitization processing on the road condition image information to obtain the first road information, and send the first road information to the map remote terminal.

[0014] The map remote terminal is used to process the first road information and send the processed first road information to the driving controller and the vehicle screen terminal.

[0015] The driving controller is used to determine a first driving control strategy based on the processed first road information and a preset driving control algorithm, and send the first driving control strategy to the map remote terminal.

[0016] The vehicle-mounted large screen terminal is used to display road images based on the processed first road information, or to output driving prompt information based on the first driving control strategy.

[0017] Optionally, the remote map terminal is further used for:

[0018] The system acquires real-time vehicle operating status information and sends the vehicle operating status information to the driving controller.

[0019] Optionally, the vehicle-mounted large-screen terminal is also used for:

[0020] In response to user input, obtain the user's driving preference settings or third-party road information input by the user's voice.

[0021] Obtain the user's upload instruction, and send the driving preference settings or the third road information to the map remote terminal according to the upload instruction.

[0022] Optionally, the remote map terminal is further used for:

[0023] The vehicle operating status information, the first road information, the driving preference settings information, or the third road information are sent to the big data backend center.

[0024] Optionally, the big data back-end center is also used for:

[0025] Based on the location information corresponding to the first road information, the second road information, or the third road information, obtain vehicle information within a preset range corresponding to the location information;

[0026] The first road information, the second road information, or the third road information is sent to the map remote terminal of the target vehicle corresponding to the vehicle information.

[0027] Optionally, the big data back-end center is also used for:

[0028] A second driving control strategy is determined based on the first road information, the second road information, or the third road information, as well as a preset big data algorithm.

[0029] The second driving control strategy is sent to the map remote terminal of the target vehicle corresponding to the vehicle information.

[0030] Optionally, the map remote terminal is also used to send the second driving control strategy to the driving controller.

[0031] Optionally, the driving controller is further configured to:

[0032] Obtain the vehicle's current operating status information;

[0033] Based on the operating status information and the second driving control strategy, the target driving control strategy is determined;

[0034] According to the target driving control strategy, the target object is controlled to perform the target operation corresponding to the target driving control strategy.

[0035] This application provides a vehicle-assisted driving system, which includes a big data information processing system, a big data backend center, and a map service provider server. The big data information processing system acquires first road information of the vehicle in real time, including one or more of the following: first road environment information, first traffic condition information, and first weather information, and sends this first road information to the big data backend center. The big data backend center compares the first road environment information with its own stored road environment information to determine if the current road environment has changed. If a change is determined, the first road environment information is sent to the map service provider server. The map service provider server, based on the first road environment information, determines whether the first road environment information is consistent with the actual road environment and with its own stored road environment information. If the first road environment information is consistent with the actual road environment but inconsistent with its own stored road environment information, the map service provider server updates its stored road environment information to the first road information. In this application, through data interaction between the big data information processing system, the big data backend center, and the map service provider server, the data provided to the vehicle is accurate real-time assisted driving data, improving the flexibility of the assisted driving system and thus enhancing the user's driving experience. Attached Figure Description

[0036] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0037] Figure 1 A vehicle driver assistance system is provided as an embodiment of this application;

[0038] Figure 2 This is a schematic diagram of the structure of a big data information processing system provided in an embodiment of this application;

[0039] Figure 3 This is a schematic diagram illustrating an application scenario of a vehicle driver assistance system provided in an embodiment of this application;

[0040] Figure 4 This is a schematic diagram illustrating another application scenario of a vehicle driver assistance system provided in an embodiment of this application;

[0041] Figure 5 This is a schematic diagram illustrating another application scenario of a vehicle driver assistance system provided in this application embodiment.

[0042] The accompanying drawings have illustrated specific embodiments of this application, which will be described in more detail below. These drawings and descriptions are not intended to limit the scope of the concept in any way, but rather to illustrate the concept of this application to those skilled in the art through reference to specific embodiments. Detailed Implementation

[0043] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numbers in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims.

[0044] In the description of the embodiments of this application, the terms "inner" and "outer", etc., which indicate the direction or positional relationship, are based on the direction or positional relationship shown in the drawings. This is only for the convenience of description and is not intended to indicate or imply that the device or component must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, it should not be construed as a limitation of this application.

[0045] In the description of the embodiments of this application, unless otherwise expressly specified and limited, the terms "connected" and "linked" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in the embodiments of this application according to the specific circumstances.

[0046] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties. Furthermore, the collection, use and processing of the relevant data must comply with the relevant laws, regulations and standards of the relevant countries and regions, and corresponding operation portals are provided for users to choose to authorize or refuse.

[0047] In recent years, intelligent driver assistance technology has developed rapidly and has been widely used in the automotive field. Vehicle driver assistance systems use artificial intelligence technology, image processing technology, etc., which can better guide drivers and improve the driving experience.

[0048] In existing technologies, current vehicle driver assistance systems typically provide driving assistance functions to a single vehicle only through a remote map terminal, resulting in limited system functionality. Furthermore, when road conditions or weather change in real time, such as during road repairs, traffic jams, or severe weather, the remote map terminal cannot update in a timely manner, providing only fixed driver assistance data or driving strategies. This data often differs significantly from actual conditions, leading to poor system flexibility and negatively impacting the user's driving experience.

[0049] Therefore, to address the aforementioned technical problems in the prior art, this application proposes a vehicle-assisted driving system, which includes: a big data information processing system, a big data backend center, and a map service provider server. The big data information processing system is used to acquire real-time road information of the driving vehicle, including but not limited to: road environment information, traffic condition information, and weather information. This information is then sent to the big data backend center. If the big data backend center determines that the road information is inconsistent with its stored road information, it sends the acquired road information to the map service provider server, which updates the road information. In this application, through data interaction between the big data information processing system, the big data backend center, and the map service provider server, the data provided to the vehicle is accurate assisted driving data, improving the flexibility of the assisted driving system and thus enhancing the user's driving experience.

[0050] The technical solution of this application and how the technical solution of this application solves the above-mentioned technical problems are described in detail below with specific embodiments. These specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments. The embodiments of this application will be described below with reference to the accompanying drawings.

[0051] Figure 1 A vehicle driver assistance system provided in this application embodiment, such as Figure 1 As shown, the vehicle driver assistance system includes a big data information processing system 101, a big data back-end center 102, and a map service provider server 103.

[0052] Among them, the big data information processing system 101 is connected to the big data back-end center 102, and the big data back-end center 102 is connected to the map service provider server 103.

[0053] The big data information processing system 101 is used to acquire the first road information of the driving vehicle in real time and send the first road information to the big data back-end center 102.

[0054] The first road information includes, but is not limited to: first road environment information, first traffic condition information, and first weather information.

[0055] For example,

[0056] Road environment information can include: temporary road construction, damaged lane lines, or fallen rocks.

[0057] Traffic information can include: road congestion or traffic accidents, etc.

[0058] Weather information can include: heavy rain, heavy snow, or heavy fog, etc.

[0059] It is understood that the above examples are for illustrative purposes only and are not intended to limit this application.

[0060] The big data backend center 102 is used to compare the first road environment information with its own stored road environment information to determine whether the current road environment has changed. If the current road environment has changed, the first road environment information is sent to the map provider server 103.

[0061] In this embodiment, the big data back-end center 102 has previously stored road environment information. After receiving the first road information sent or uploaded by the big data information processing system 101, the big data back-end center 102 can determine whether the current road environment has changed according to the preset comparison algorithm. If it has changed, the first road environment information is sent to the map provider server 103.

[0062] For example,

[0063] If the big data backend center 102 determines that the road has changed, such as the appearance of new branches or forks, road widening, or changes to traffic signs, then it will send the changed road environment information, i.e., the first road environment information, to the map service provider server 103.

[0064] The map provider server 103 is used to determine whether the first road environment information is consistent with the actual road environment and with its own stored road environment information. If the first road environment information is consistent with the actual road environment but inconsistent with its own stored road environment information, then the map provider server 103 updates its own stored road environment information to the first road information.

[0065] In this embodiment, the map provider server 103 has professional map acquisition and maintenance capabilities, and stores authorized and legally usable driving assistance map data, such as road environment information.

[0066] It is understood that the driving assistance map data stored on the map provider server 103 may also include other data, which is not limited in this application.

[0067] After receiving the first road environment information, the map provider server 103 will further confirm whether the first road environment information is accurate, that is, determine whether the first road environment information is consistent with the actual road environment and with the road environment information it has stored.

[0068] If the first road environment information is consistent with the actual road environment but inconsistent with the road environment information it has already stored, the map service provider server 103 will update the road environment information to the first road information by re-collecting map information and upgrading the map information based on the re-collected data, thereby ensuring the real-time performance and accuracy of the road data.

[0069] In this application, the map service server 103 can also obtain real-time second road information from any preset information channel or information platform. This second road information includes, but is not limited to, second road environmental information, second traffic condition information, and second weather information.

[0070] In this embodiment, the map service server 103 can also interact with multiple user-authorized information channels or platforms, such as road condition information disclosure platforms, weather forecast platforms, travel application platforms, and logistics vehicle platforms.

[0071] It is understood that the aforementioned information channels or platforms are for illustrative purposes only and are not intended to limit this application.

[0072] The map provider server 103 sends the second road information to the big data back-end center 102, so that the big data back-end center 102 sends the second road information to the vehicle's big data information processing system 101, so that the big data information processing system 101 can provide driving guidance to more vehicles.

[0073] In the above embodiments of this application, the vehicle assisted driving system includes a big data information processing system 101, a big data backend center 102, and a map service provider server 103. The big data information processing system 101 acquires first road information of the driving vehicle in real time and sends this information to the big data backend center 102. The big data backend center 102 compares the first road environment information with its own stored road environment information to determine if the current road environment has changed. If a change is detected, the first road environment information is sent to the map service provider server 103. The map service provider server 103, based on the first road environment information, determines whether the first road environment information is consistent with the actual road environment and with its own stored road environment information. If the first road environment information is consistent with the actual road environment but inconsistent with its own stored road environment information, the map service provider server updates its stored road environment information to the first road information. Furthermore, the map service provider server can also acquire the first road information from other information channels and ultimately send it to the big data information processing system 101 via the big data backend center 102. This embodiment utilizes data interaction between the big data information processing system 101, the big data back-end center 102, and the map service provider server 103 to provide vehicles with accurate real-time assisted driving data, thereby improving the flexibility of the assisted driving system and greatly enhancing the user's driving experience.

[0074] Furthermore, based on the above embodiments, the following embodiments will describe in detail the structural composition of the big data information processing system 101.

[0075] Figure 2 This is a schematic diagram of the structure of a big data information processing system 101 provided in an embodiment of this application, as shown below. Figure 2 As shown, it includes: a smart camera 201, a vehicle infotainment screen terminal 202, a remote map terminal 203, and a driving controller 204.

[0076] The connection relationships are as follows: the map remote terminal 203 is connected to the smart camera 201, the vehicle infotainment screen terminal 202, and the driving controller 204. The information interaction between the map remote terminal 203 and the smart camera 201, the vehicle infotainment screen terminal 202, and the driving controller 204 is bidirectional.

[0077] Among them, the intelligent camera 201 is used to collect road condition image information of driving vehicles in real time, and to perform desensitization processing on the road condition image information to obtain the first road information, and send the first road information to the map remote terminal 203.

[0078] In this embodiment, the intelligent camera 201 can consist of a wide-angle camera 201 and an image processing module. It acquires road images in real time and identifies road image information using an internally preset image acquisition algorithm while the vehicle is running. Upon identifying special road conditions (temporary construction, traffic congestion, traffic accidents, road icing, heavy fog, heavy rain, etc.) based on the road image information, the intelligent camera 201 performs a desensitization operation on the special road condition information, removing sensitive information to protect data security, and sends the desensitized image information, i.e., the first road information, to the map remote terminal 203 module. To improve the integrity and coverage of the images acquired by the intelligent camera 201, the intelligent camera 201 can be installed inside the windshield. It is understood that this application does not limit the installation location of the intelligent camera 201.

[0079] For example, the smart camera 201 continuously collects and monitors data to identify that road construction ahead requires vehicles to temporarily use the oncoming lane. It also identifies the distance between the construction site and the vehicle, as well as the length of the construction road. The identified information, such as the construction ahead, the distance between the construction site and the vehicle, and the length of the construction road, is then sent to the map remote terminal 203 module.

[0080] For example, the smart camera 201 can identify the presence of heavy fog on the current road, the visibility of the fog, and the recommended driving speed indicated by road signs in foggy weather, and then send the fog visibility information, road sign information, etc. to the map remote terminal 203 module.

[0081] The map remote terminal 203 is used to process the first road information and send the processed first road information to the driving controller 204 and the vehicle screen terminal 202.

[0082] As a core component connecting the smart camera 201, the vehicle infotainment screen 202, and the driving controller 204, the map remote terminal 203 can perform different data processing among the smart camera 201, the vehicle infotainment screen 202, and the driving controller 204. For example, it can convert information interaction formats and coordinate the order and logic of sending information from all parties. This allows it to promptly convey accurate information to the driver, making information communication between various vehicle components simpler and smoother.

[0083] In addition, the map remote terminal 203 can also obtain real-time vehicle operation status information of the driving vehicle and send the vehicle operation status information to the driving controller 204.

[0084] The driving controller 204 is used to determine a first driving control strategy based on the processed first road information and a preset driving control algorithm, and send the first driving control strategy to the map remote terminal 203.

[0085] The driving controller 204 can serve as a decision-making and execution control component for vehicle driving behavior. When the driving controller 204 receives road information sent by the map remote terminal 203, it can make a safer, more economical and comfortable driving control strategy based on the received road information, thereby providing more appropriate driving guidance to the driver.

[0086] The vehicle-mounted large screen terminal 202 is used to display road images based on the processed first road information, or to output driving prompt information based on the first driving control strategy.

[0087] The vehicle infotainment screen terminal 202 plays a crucial role in the interaction between the vehicle and the driver. It provides an interaction channel for the driver. The vehicle infotainment screen terminal 202 can display road images based on road information sent by the map remote terminal 203, such as information on temporary road construction and road icing. It can also output driving prompt information corresponding to the driving control strategy after obtaining the driving control strategy through the map remote terminal 203, thereby reminding the driver to pay attention to driving safety.

[0088] In this application, the vehicle-mounted large screen terminal 202 can also respond to the user's input operation to obtain the user's driving preference settings information or the third road information input by the user's voice.

[0089] It can also obtain the user's upload command and send driving preference settings or third road information to the map remote terminal 203 according to the upload command.

[0090] The driving preference settings may include settings that prioritize economy, speed, or safety while driving, or preferred routes or lanes, etc. This application does not impose any limitations on these settings.

[0091] For example, the driver can select information already processed by the vehicle-mounted display terminal 202, such as one-click reporting of traffic information or driving preference settings, which can be uploaded using only the one-click upload system button. Alternatively, the driver can manually describe the road information or input it via voice into the vehicle-mounted display terminal 202. Assuming voice input, the vehicle-mounted display terminal 202 will perform semantic recognition upon receiving the driver's voice information and display or broadcast the results to the driver. After obtaining the driver's permission, the information will be transmitted to the map remote terminal 203 module.

[0092] After obtaining vehicle operating status information, first road information, driving preference settings information or third road information, the map remote terminal 203 sends it to the big data back-end center 102 according to the preset format.

[0093] In the above embodiments of this application, the big data information processing system 101 includes a smart camera 201, a vehicle-mounted large-screen terminal 202, a map remote terminal 203, and a driving controller 204. The smart camera 201 collects real-time road condition image information of the driving vehicle, performs de-sensitization processing on the road condition image information to obtain first road information, and sends the first road information to the map remote terminal 203. The map remote terminal 203 processes the first road information and sends the processed first road information to the driving controller 204. The driving controller 204 determines a first driving control strategy based on the processed first road information and a preset driving control algorithm, and sends the first driving control strategy to the map remote terminal 203. The vehicle-mounted large-screen terminal 202 is used to display road images based on the processed first road information, or to output driving prompts based on the first driving control strategy. This embodiment enables information interaction between the smart camera 201, the vehicle-mounted large-screen terminal 202, the map remote terminal 203, and the driving controller 204, making the assisted driving data provided to the driver more accurate and effectively improving the driver's driving experience.

[0094] In this application, the big data backend center 102 can receive vehicle operating status information, first road information, driving preference settings information, or third road information sent by the map remote terminal 203, and can also obtain second road information from the map provider server. Thus, it can provide assisted driving data for more vehicles based on the aforementioned various types of information.

[0095] Optionally, the big data backend center 102 can obtain vehicle information within a preset range based on the location information corresponding to the first road information, the second road information, or the third road information, and send the first road information, the second road information, or the third road information to the map remote terminal 203 of the target vehicle corresponding to the vehicle information.

[0096] Optionally, the big data backend center 102 can also determine a second driving control strategy based on the first road information, the second road information, or the third road information and a preset big data algorithm, and send the second driving control strategy to the map remote terminal 203 of the target vehicle corresponding to the vehicle information, so that the map remote terminal 203 sends the second driving control strategy to the driving controller 204.

[0097] For example,

[0098] After receiving the aforementioned road information, the big data backend center 102 will filter out vehicles or convoys expected to pass through the location of the road condition incident based on the vehicle operation status information uploaded by each vehicle and the preset big data algorithm. The vehicle operation status information includes, but is not limited to, vehicle location coordinates, vehicle heading, and vehicle speed. Based on the vehicle operation status information and the second driving control strategy, a target driving control strategy is determined, and then the target driving control strategy is sent to the map remote terminal 203 module on the corresponding vehicle.

[0099] After receiving the target driving control strategy, the map remote terminal 203 module reminds the driver to pay attention to the road conditions ahead through the vehicle's large screen terminal 202. At the same time, the map remote terminal 203 also transmits the target driving control strategy to the driving controller 204 to control the target object (engine, transmission, power output control unit, retarder or vehicle stability controller, etc.) to perform the target operation corresponding to the target driving control strategy, so that the driving controller 204 can make a predictive driving strategy.

[0100] The map remote terminal 203 can send the target driving control strategy to the vehicle communication CAN network in accordance with the format required by the Advanced Driver Assistance Interface Specification Protocol (ADASIS v2 and ADASIS v2). The driving controller 204 receives and parses the target driving control strategy through the CAN network, and then controls the engine, transmission, power output control unit, retarder or vehicle stability controller to output the corresponding target operation by sending control signals to the vehicle communication CAN network, so as to make driving safer and more efficient.

[0101] In the above embodiments of this application, after the big data back-end center 102 obtains the first road information, the third road information, etc., it uses big data algorithms to determine a suitable driving control strategy and sends it to the map remote terminal 203 of the corresponding vehicle, thereby improving the safety and efficiency of the vehicle operation process.

[0102] To facilitate understanding of the vehicle driver assistance system of this application, several application scenarios of the vehicle driver assistance system are illustrated below.

[0103] Application Scenario 1:

[0104] Figure 3 This is a schematic diagram illustrating an application scenario of a vehicle driver assistance system provided in an embodiment of this application, such as... Figure 3 As shown:

[0105] S301. The intelligent camera in the vehicle collects road image information, performs desensitization processing on the road image information to obtain desensitized road information, and sends it to the vehicle's map remote terminal. The road information includes road environment information, traffic condition information, and weather information.

[0106] S302. After the map remote terminal processes the de-identified road information, it sends it to the vehicle's large screen terminal to remind the driver to pay attention to the road conditions ahead.

[0107] S303: The driver can report the received road information or the road information input by voice through the vehicle's large screen terminal with one click, and the vehicle's large screen terminal will send the road information to the remote map terminal.

[0108] S304. The map remote terminal processes the reported road information and sends the processed road information to the vehicle's driving controller or the big data back-end center.

[0109] S305: The big data backend center determines the accuracy of the reported road information and alerts vehicles around the target road corresponding to the reported road information. If the reported road information differs from the road information already stored, indicating a change in the road environment, the reported road information is sent to the map provider's server.

[0110] S306. After the map service provider server determines that the road environment has changed, it will re-collect and update the stored road information.

[0111] Application Scenario 2:

[0112] Figure 4 This is a schematic diagram illustrating another application scenario of a vehicle driver assistance system provided in this application embodiment, such as... Figure 4 As shown:

[0113] After obtaining vehicle operating status information, road information, and driving preference settings, the S401 remote map terminal sends them to the big data back-end center through the vehicle communication network.

[0114] S402. Based on the above information, the big data back-end center determines the most suitable driving control strategy for the vehicle through a preset big data algorithm and then sends it to the vehicle's map remote terminal.

[0115] S403, the map remote terminal sends the above driving control strategy to the driving controller.

[0116] S404. The driving controller controls the target object to perform the corresponding target operation according to the driving control strategy.

[0117] Application Scenario 3:

[0118] Figure 5 This is a schematic diagram illustrating another application scenario of a vehicle driver assistance system provided in this application embodiment, such as... Figure 5 As shown:

[0119] S501, the map service provider server obtains road information from any preset information channel or information platform and sends it to the big data back-end center.

[0120] S502, the big data back-end center sends the road information to the remote map terminals on vehicles around the target road corresponding to the road information.

[0121] S503: The map remote terminal sends the road information to the vehicle's large screen terminal for reminder, and at the same time sends it to the driving controller for driving control.

[0122] Figures 3 to 5 For specific implementation steps in the illustrated embodiments, please refer to the embodiments described above. To avoid redundancy, this application will not repeat the description.

[0123] It is understood that other scenarios may also be included. The above example scenarios are for illustrative purposes only and do not impose any limitations on this application.

[0124] Other embodiments of this application will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of this application that follow the general principles of this application and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of this application are indicated by the following claims.

[0125] It should be understood that this application is not limited to the precise structure described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this application is limited only by the appended claims.

Claims

1. A vehicle driver assistance system, characterized in that, include: Big data information processing system, big data back-end center, map service provider server; The big data information processing system is used to acquire first road information of driving vehicles in real time. The first road information includes one or more of the following: first road environment information, first traffic condition information, and first weather information, and sends the first road information to the big data back-end center. The big data backend center is used to compare the first road environment information with its own stored road environment information to determine whether the current road environment has changed. If the current road environment has changed, the first road environment information is sent to the map provider server. The map service server is used to determine whether the first road environment information is consistent with the actual road environment and with its own stored road environment information based on the first road environment information. If the first road environment information is consistent with the actual road environment but inconsistent with its own stored road environment information, then the map information is re-collected and the stored road environment information is updated to the first road information based on the re-collected map information. The map service server is also used for: The second road information is obtained from any preset information channel or information platform. The second road information includes one or more of the following: second road environment information, second traffic condition information, and second weather information. The second road information is sent to the big data back-end center, so that the big data back-end center sends the second road information to the vehicle's big data information processing system; The big data information processing system includes: a vehicle-mounted large screen terminal and a remote map terminal; The vehicle-mounted large screen terminal is used to: respond to user input operations, obtain user driving preference settings or third road information input by user voice; obtain user upload instructions, and send the driving preference settings or the third road information to the map remote terminal according to the upload instructions; The map remote terminal is used to: send vehicle operating status information, the first road information, the driving preference setting information, or the third road information to the big data back-end center; The big data backend center is used to: obtain vehicle information within a preset range corresponding to the location information of the first road information, the second road information, or the third road information; and send the first road information, the second road information, or the third road information to the map remote terminal of the target vehicle corresponding to the vehicle information.

2. The vehicle driver assistance system according to claim 1, characterized in that, The big data information processing system also includes: intelligent cameras and driving controllers; The intelligent camera is used to collect road condition image information of driving vehicles in real time, and to perform desensitization processing on the road condition image information to obtain the first road information, and send the first road information to the map remote terminal. The remote map terminal is also used to process the first road information and send the processed first road information to the driving controller and the vehicle screen terminal. The driving controller is used to determine a first driving control strategy based on the processed first road information and a preset driving control algorithm, and send the first driving control strategy to the map remote terminal. The vehicle-mounted large screen terminal is also used to display road images based on the processed first road information, or to output driving prompt information based on the first driving control strategy.

3. The vehicle driver assistance system according to claim 2, characterized in that, The remote map terminal is also used for: The system acquires real-time vehicle operating status information and sends the vehicle operating status information to the driving controller.

4. The vehicle driver assistance system according to claim 3, characterized in that, The big data back-end center is also used for: A second driving control strategy is determined based on the first road information, the second road information, or the third road information, as well as a preset big data algorithm. The second driving control strategy is sent to the map remote terminal of the target vehicle corresponding to the vehicle information.

5. The vehicle driver assistance system according to claim 4, characterized in that, The map remote terminal is also used to send the second driving control strategy to the driving controller.

6. The vehicle driver assistance system according to claim 5, characterized in that, The driving controller is also used for: Obtain the vehicle's current operating status information; Based on the operating status information and the second driving control strategy, the target driving control strategy is determined; According to the target driving control strategy, the target object is controlled to perform the target operation corresponding to the target driving control strategy.

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