Driving assistance control method and device of vehicle, electronic equipment and readable storage medium

Abstract

The invention discloses a vehicle driving assistance control method and device, electronic equipment and a readable storage medium. The method comprises the steps that a navigation path of a vehicle and road information of a road on which the vehicle is currently driven are obtained in response to the fact that a driving assistance function of the vehicle is in an open state, and the road information is used for representing local road characteristics of the road on which the vehicle is currently driven; based on the position information of the current position of the vehicle and the navigation path, navigation map information is obtained, and the navigation map information is used for representing global road features of the vehicle within a preset distance range; based on the navigation path, the navigation map information and the road information, a driving strategy of the vehicle is determined, and the driving strategy is used for representing a driving rule of the vehicle along the navigation path; and controlling the vehicle to run along the navigation path according to the driving strategy. According to the invention, the technical problem of low application efficiency of a driving assistance function in a complex or long-distance scene in the related art is solved.

Description

Technical Field

[0001] This application relates to the field of vehicle control technology, and more specifically, to a driving assistance control method, device, electronic device, and readable storage medium for a vehicle. Background Technology

[0002] With the rapid development of the automotive industry, driver assistance functions have become a key element in improving driving safety and comfort. Traditional driver assistance systems mainly rely on onboard sensors (such as LiDAR, cameras, and millimeter-wave radar) to capture near-field environmental information, as well as the vehicle's own positioning data, to achieve basic driver assistance functions such as adaptive cruise control, blind spot monitoring, and automatic emergency braking. These systems can usually effectively monitor surrounding targets and obstacles, but their capabilities are limited by the sensor's line of sight and the vehicle's own field of vision. They struggle to anticipate distant road conditions or the user's driving intentions, resulting in lower efficiency of driver assistance functions in complex or long-distance scenarios.

[0003] There is currently no effective solution to the technical problem of the low application efficiency of the aforementioned driver assistance functions in complex or long-distance scenarios. Summary of the Invention

[0004] This application provides a vehicle driving assistance control method, device, electronic device, and readable storage medium to at least solve the technical problem of low application efficiency of driving assistance functions in complex or long-distance scenarios in related technologies.

[0005] According to one aspect of the embodiments of this application, a driving assistance control method for a vehicle is provided. The method includes: in response to the driving assistance function of the vehicle being activated, acquiring the vehicle's navigation path and road information on the road the vehicle is currently traveling on, wherein the road information is used to characterize local road features on the road the vehicle is currently traveling on; acquiring navigation map information based on the vehicle's current location information and the navigation path, wherein the navigation map information is used to characterize global road features within a preset distance range of the vehicle; determining a driving strategy for the vehicle based on the navigation path, the navigation map information, and the road information, wherein the driving strategy is used to characterize the rules for the vehicle to travel along the navigation path; and controlling the vehicle to travel along the navigation path according to the driving strategy.

[0006] Optionally, based on the location information of the vehicle's current location and the navigation route, navigation map information is obtained, including: requesting navigation map information within a preset distance range from the vehicle's current location from the cloud server based on the navigation route, wherein the cloud server is used to filter navigation map information from the stored map information; and receiving navigation map information sent by the cloud server.

[0007] Optionally, during vehicle operation, the method further includes: updating the vehicle's location information at preset time intervals; and updating the navigation map information according to the updated location information.

[0008] Optionally, determining the vehicle's driving strategy based on the navigation path, navigation map information, and road information further includes: integrating the navigation map information and road information based on the navigation path to obtain road map information, wherein the road map information is used to represent the road conditions and traffic rules on the navigation path; and determining the vehicle's driving strategy based on the road map information and the vehicle's current driving status.

[0009] Optionally, the method further includes: in response to the vehicle entering a preset type area and the distance between the vehicle and the preset type area being less than or equal to a preset distance threshold, outputting alarm information, wherein the alarm information is used to remind the driver of the vehicle to take over the vehicle, and the preset type area is used to characterize an area where the driving assistance function cannot be used.

[0010] Optionally, the navigation map information shall include at least: road speed limit information, number of lanes information, lane driving direction information, lane driving curvature information, ramp information, and traffic light information.

[0011] According to another aspect of the embodiments of this application, a vehicle driving assistance control device is also provided. The device includes: a first acquisition unit, configured to acquire the vehicle's navigation path and road information of the road on which the vehicle is currently traveling, in response to the vehicle's driving assistance function being activated, wherein the road information is used to characterize local road features on the road on which the vehicle is currently traveling; a second acquisition unit, configured to acquire navigation map information based on the vehicle's current location information and the navigation path, wherein the navigation map information is used to characterize global road features within a preset range of the vehicle; a determination unit, configured to determine the vehicle's driving strategy based on the navigation path, the navigation map information, and the road information, wherein the driving strategy characterizes the rules for the vehicle to travel along the navigation path; and a control unit, configured to control the vehicle to travel along the navigation path according to the driving strategy.

[0012] According to another aspect of the embodiments of this application, an electronic device is also provided, including: a memory storing an executable program; and a processor for running the program, wherein the program executes the vehicle driving assistance control method of various embodiments of this application when it runs.

[0013] According to another aspect of the embodiments of this application, a computer-readable storage medium is also provided, the computer-readable storage medium including a stored executable program, wherein, when the executable program is running, it controls the device where the computer-readable storage medium is located to execute the driving assistance control method of the vehicle in various embodiments of this application.

[0014] According to another aspect of the embodiments of this application, a computer program product is also provided, including a computer program that, when executed by a processor, implements the vehicle driving assistance control method in various embodiments of this application.

[0015] According to another aspect of the embodiments of this application, a computer program product is also provided, including a non-volatile computer-readable storage medium storing a computer program that, when executed by a processor, implements the vehicle driving assistance control method of various embodiments of this application.

[0016] According to another aspect of the embodiments of this application, a computer program is also provided, which, when executed by a processor, implements the vehicle driving assistance control method in various embodiments of this application.

[0017] In this embodiment, in response to the vehicle's driving assistance function being activated, the vehicle's navigation path and road information of the road on which the vehicle is currently traveling are obtained, wherein the road information is used to characterize the local road features on the road on which the vehicle is currently traveling; based on the vehicle's current location information and the navigation path, navigation map information is obtained, wherein the navigation map information is used to characterize the global road features within a preset distance range of the vehicle; based on the navigation path, navigation map information, and road information, a driving strategy for the vehicle is determined, wherein the driving strategy is used to characterize the rules for the vehicle to travel along the navigation path; and the vehicle is controlled to travel along the navigation path according to the driving strategy. In other words, in this embodiment of the application, when the vehicle's driving assistance function is activated, the vehicle's driving strategy can be determined based on the road information and navigation map information on the road the vehicle is currently traveling on. By combining the road information and navigation map information on the road the vehicle is currently traveling on, the local road features on the road the vehicle is currently traveling on, as well as the global road features within a preset distance range of the vehicle, can be predicted in advance. This improves the application efficiency of the vehicle's driving assistance function in complex or long-distance scenarios, avoids driving risks caused by untimely reactions or decision-making errors, and significantly improves the driving experience and overall road safety. This solves the technical problem of low application efficiency of driving assistance functions in complex or long-distance scenarios in related technologies. Attached Figure Description

[0018] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings:

[0019] Figure 1 This is a flowchart of a vehicle driving assistance control method according to an embodiment of this application;

[0020] Figure 2 This is a schematic diagram of a vehicle driver assistance system according to an embodiment of this application;

[0021] Figure 3 This is a flowchart of another vehicle driving assistance control method according to an embodiment of this application;

[0022] Figure 4 This is a schematic diagram of a vehicle driving assistance control device according to an embodiment of this application. Detailed Implementation

[0023] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort should fall within the scope of protection of the present application.

[0024] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0025] According to an embodiment of this application, an embodiment of a driving assistance control method for a vehicle is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0026] Figure 1 This is a flowchart of a vehicle driving assistance control method according to an embodiment of this application, such as... Figure 1 As shown, the method includes the following steps:

[0027] In step S101, in response to the vehicle's driving assistance function being activated, the vehicle's navigation route and road information of the road on which the vehicle is currently traveling are obtained.

[0028] In the technical solution provided in step S101 of this application, the aforementioned driving assistance function is used to assist the driver in controlling the vehicle, including but not limited to: adaptive cruise control, lane keeping assist, automatic emergency braking, blind spot monitoring, traffic sign recognition, automatic parking, etc., without specific limitations. The aforementioned navigation path is used to indicate the path between the driver's current location and the destination preset by the in-vehicle navigation system or external navigation device. When the driving assistance function is activated, the function directly accesses the vehicle's navigation system and reads the target address input by the driver and the planned route information. The aforementioned road information is used to characterize the local road features on the road on which the vehicle is currently traveling.

[0029] In this embodiment, the vehicle's driving assistance system can use onboard sensors (such as cameras, lidar, and millimeter-wave radar) to obtain real-time road information on the road the vehicle is currently traveling on. This road information may include the degree of traffic congestion, the number of vehicles, and the location of obstacles on the road the vehicle is currently traveling on, etc., without being specifically limited here.

[0030] Step S102: Obtain navigation map information based on the vehicle's current location information and navigation route.

[0031] In the technical solution provided in step S102 of this application, the aforementioned location information is used to characterize the high-precision positioning information (e.g., longitude and latitude) of the vehicle's current location. The aforementioned navigation map information is used for global road features within a preset distance range for standard vehicles.

[0032] In this embodiment, navigation map information within a preset distance range ahead of the vehicle can be obtained from the cloud server using high-precision positioning information (e.g., longitude and latitude) of the vehicle's current location and a predetermined navigation path.

[0033] For example, the vehicle's driver assistance domain controller (DAV controller) can obtain the vehicle's real-time location information from the onboard positioning device. This location information includes the precise longitude and latitude coordinates of the vehicle's current location. This location information can be continuously updated at a fixed frequency (e.g., 1Hz), ensuring real-time synchronization between map information and the vehicle's actual location. Based on the navigation route set by the driver, the DAV controller sends this navigation route information and the vehicle's current location information to the map module. After receiving the location and navigation route information from the DAV controller, the map module uploads the received information to a cloud server. Based on this information, the cloud server filters navigation map information within a preset distance (e.g., 10km) ahead of the vehicle from its stored map data and downloads it to the vehicle's local storage in real time. This distance range is selected to ensure that the system can anticipate and analyze road conditions ahead.

[0034] Optionally, the navigation map information obtained from the cloud server contains various elements designed to provide comprehensive information about the vehicle's route, including but not limited to: road speed limits, number and direction of lanes, road curvature, information on special areas (such as toll booths and ramps), and traffic light countdowns. This information helps the driver assistance system understand the macroscopic characteristics of the road the vehicle is currently traveling on, such as road type (highway, urban road, etc.), as well as the dynamic conditions of the road, such as traffic signals and construction zones, thereby providing data support for the formulation of vehicle driving strategies.

[0035] Optionally, based on the vehicle's current location information and navigation route, navigation map information for the vehicle can be obtained from a cloud server. This not only saves local storage space in the vehicle but also ensures real-time updates of map information, improving the accuracy and timeliness of the data.

[0036] Step S103: Determine the vehicle's driving strategy based on the navigation path, navigation map information, and road information.

[0037] In the technical solution provided by step S103 of this application, the driving strategy is used to characterize the rules for the vehicle to travel along the navigation path.

[0038] In this embodiment, after obtaining the navigation map information, the vehicle's driving strategy can be determined based on the navigation path, navigation map information, and road information. As described above, the navigation map information covers the global road features of the area the vehicle is about to travel in, including but not limited to road speed limits, number of lanes, driving direction of each lane, road curvature, special area locations (such as toll booths and ramps), and traffic light countdown information. Road information includes local road features on the road the vehicle is currently traveling on, such as the degree of traffic congestion, number of vehicles, and obstacle locations on the road the vehicle is currently traveling on. Based on the navigation path, navigation map information, and road information, the determined vehicle driving strategy includes but is not limited to: vehicle acceleration and deceleration control rules, lane selection and holding rules, automatic lane changing rules, safe distance maintenance rules, traffic signal compliance rules, and special area shape rules, to ensure that the vehicle can travel safely and efficiently along the navigation path.

[0039] Optionally, by utilizing road speed limit data from navigation maps and combining it with real-time speed limit sign recognition results from in-vehicle cameras, the most suitable cruising speed can be set. When the camera fails to recognize a nearby speed limit sign, the speed limit value from the map information will be used as a reference to ensure that the vehicle speed complies with road regulations. Navigation map information reveals the number and direction of lanes ahead, enabling more accurate judgment of the vehicle's position on multi-lane roads and allowing for advance planning of lane-changing maneuvers, ensuring the vehicle smoothly enters the correct lane at complex intersections or when approaching ramps. Utilizing road curvature information, the size and shape of upcoming curves can be predicted, allowing for early deceleration to smoothly navigate small curves and avoid safety hazards caused by sudden deceleration. Based on traffic light countdown information and intersection information, changes in traffic signals can be accurately monitored, allowing for early deceleration or acceleration to avoid waiting time at traffic lights and ensure safe passage.

[0040] Optionally, to ensure efficient execution of the driving strategy, vehicle location information can be updated at a high frequency, such as 1Hz, and road information can be updated within 100ms after the user switches navigation routes, ensuring the timeliness and accuracy of information strategy generation. Furthermore, the map module only receives map data within a certain range before and after the vehicle's current location, reducing data transmission volume and local storage requirements, while ensuring the real-time performance of driver assistance functions and user experience.

[0041] Optionally, by comprehensively utilizing navigation paths, global map information, and local road features, not only can the application efficiency of driver assistance functions be significantly improved in complex or long-distance scenarios, but the real-time performance and accuracy of strategy generation can also be ensured, thereby providing users with a more intelligent, safe, and comfortable driving experience.

[0042] Step S104: Control the vehicle to travel along the navigation path according to the driving strategy.

[0043] In the technical solution provided in step S104 of this application, after acquiring and analyzing the navigation path, local road feature information, and global map information, the actual vehicle control stage can begin, that is, intelligent driving assistance control of the vehicle is achieved according to the previously determined driving strategy. This process involves adjusting various driving parameters of the vehicle to ensure that the vehicle can drive safely and efficiently along the planned navigation path.

[0044] In this embodiment, the vehicle's cruising speed is adjusted according to the road speed limit information in the driving strategy to ensure that the vehicle complies with traffic rules. Based on the curvature of the road ahead, the vehicle speed is appropriately reduced before entering a curve to avoid the risk of loss of control due to excessive speed through the curve. When the vehicle is about to enter or exit a highway ramp, the ramp location is determined in advance, and combined with the user's navigation route, lane changes and speed adjustments are automatically performed to ensure that the vehicle smoothly and safely completes lane changes and highway entry / exit maneuvers. Knowing the status and countdown of traffic lights at intersections allows for intelligent speed adjustment, reducing waiting time at traffic light intersections and improving traffic efficiency, etc., but specific limitations are not specified here.

[0045] Through steps S101 to S104, when the vehicle's driver assistance function is activated, the vehicle's driving strategy can be determined based on the road information and navigation map information on the road the vehicle is currently traveling on. By combining the road information and navigation map information, the local road features on the road the vehicle is currently traveling on, as well as the global road features within a preset distance range, can be predicted in advance. This improves the application efficiency of the vehicle's driver assistance function in complex or long-distance scenarios, avoids driving risks caused by untimely reactions or decision-making errors, and significantly improves the driving experience and overall road safety. This solves the technical problem of low application efficiency of driver assistance functions in complex or long-distance scenarios in related technologies.

[0046] The method described in this embodiment will be further described below.

[0047] As an optional implementation, step S102, based on the location information of the vehicle's current location and the navigation path, obtains navigation map information, including: requesting navigation map information within a preset distance range from the vehicle's current location from the cloud server based on the navigation path, wherein the cloud server is used to filter navigation map information from the stored map information; and receiving navigation map information sent by the cloud server.

[0048] In this embodiment, the vehicle's driver assistance system can send a request to a cloud server based on the vehicle's current navigation path, requesting the cloud server to provide navigation map information covering a preset distance (e.g., 3km) ahead of the vehicle's current location. This request is based on the vehicle's high-precision positioning information (i.e., longitude and latitude coordinates) and future driving route, ensuring a close correlation between the map data and the vehicle's driving route.

[0049] Optionally, upon receiving a request, the cloud server can filter map data directly related to the vehicle's current driving path and location from its comprehensive map information database. This data includes not only static road information, such as road type, speed limit, lane distribution, road curvature, and ramp information, but also dynamic information, such as real-time traffic conditions and traffic light countdowns. The data filtered by the cloud server is then transmitted to the vehicle's map module via a high-speed network (e.g., Ethernet), ensuring the real-time nature and accuracy of the information.

[0050] Optionally, the vehicle's map module receives navigation map information from a cloud server and stores it locally. To reduce the need for local storage resources, it can receive and store only map data within a certain distance ahead of the vehicle's current location, rather than the entire map database. This intelligent data reception and storage strategy not only improves data processing efficiency but also ensures real-time updates of map information, providing a solid foundation for subsequent intelligent driving decisions.

[0051] Optionally, the driver assistance system only requests map data related to the current navigation route, and the request range is limited to a preset distance in front of the current vehicle position, such as within 3km, to reduce data transmission latency and communication costs. The vehicle-side map module adopts a dynamic storage strategy, only saving map information related to the current location and the preset driving route, reducing the need for local storage space.

[0052] Optionally, by accessing cloud-based map information, vehicles can anticipate key information along their driving path, such as road type, speed limit, and curvature, thereby providing precise driving assistance in a wider range of scenarios.

[0053] As an optional implementation, during vehicle operation, the method further includes: updating the vehicle's location information at preset time intervals; and updating the navigation map information according to the updated location information.

[0054] In this embodiment, after the driving strategy is determined, the vehicle can be controlled to drive along the navigation path according to the driving strategy. During the process of the vehicle driving along the navigation path, in order to ensure the accuracy and timeliness of the vehicle driving control, the vehicle's location information can be updated in real time during the vehicle driving process, and the navigation map information can be updated in real time according to the updated location information.

[0055] Optionally, vehicle location information, including longitude and latitude coordinates, can be obtained in real time at a frequency of 1Hz through a vehicle positioning device, such as a Global Navigation Satellite System (GNSS), to ensure that the map information matches and synchronizes with the actual vehicle location.

[0056] Optionally, whenever the vehicle's location information is updated, it can be immediately fed back to the map module. Based on the latest vehicle location, the map module downloads updated navigation map information from the cloud server to reflect the latest road conditions ahead. For example, the system updates the map data every 500 meters to ensure the accuracy and timeliness of the information.

[0057] Optionally, through this series of real-time update and synchronization processes, the system can continuously adapt to dynamic changes during vehicle operation, ensuring that the vehicle's driving strategy is consistent with actual road conditions and providing continuous driving assistance services to the driver. Furthermore, this dynamic update mechanism overcomes the delays and inaccuracies of traditional driving assistance systems in processing vehicle position changes and road information updates, further improving the application efficiency of driving assistance functions in complex or long-distance scenarios and enhancing the system's real-time performance and safety.

[0058] As an optional implementation, step S103, which determines the vehicle's driving strategy based on the navigation path, navigation map information, and road information, further includes: integrating the navigation map information and road information based on the navigation path to obtain road map information, wherein the road map information is used to characterize the road conditions and traffic rules on the navigation path; and determining the vehicle's driving strategy based on the road map information and the vehicle's current driving status.

[0059] In this embodiment, the aforementioned navigation map information refers to global road feature information within a preset distance range (e.g., 10km) obtained from the cloud server based on the vehicle's current location and navigation path. The aforementioned road information refers more to the local features of the road segment in real time, such as data on road speed limits, lane lines, obstacles, etc., captured in real time by onboard sensors (e.g., cameras, radar).

[0060] Optionally, by combining information such as road type, speed limit, number and direction of lanes, curvature, location of special areas (e.g., toll booths, ramps), and traffic light countdowns from the navigation map information with local road feature information fed back by the vehicle's real-time sensors, a comprehensive and accurate road map can be generated. This road map information not only provides the macroscopic road layout ahead of the vehicle but also includes real-time and effective details of road conditions and traffic rules, providing a solid foundation for formulating driving strategies.

[0061] Optionally, when formulating a driving strategy, the vehicle's current driving status (e.g., speed, direction, acceleration, etc.) and the integrated road map information mentioned above can be considered to determine how the vehicle should adjust its speed, direction, and lane position in the following driving to cope with changing road and traffic conditions.

[0062] Optionally, through this series of integration and analysis operations, the driver assistance system can generate a comprehensive and detailed driving strategy to guide the vehicle to drive along the navigation route in the optimal way while complying with traffic rules, and at the same time ensure driving safety and comfort.

[0063] As an optional implementation, the vehicle's driving assistance control method further includes: in response to the vehicle entering a preset type area and the distance between the vehicle and the preset type area being less than or equal to a preset distance threshold, outputting alarm information, wherein the alarm information is used to remind the driver of the vehicle to take over the vehicle, and the preset type area is used to characterize an area where the driving assistance function cannot be used.

[0064] In this embodiment, in addition to formulating driving strategies based on road condition information and actually controlling the vehicle, a warning information triggering mechanism is specifically designed. The purpose of this mechanism is to promptly remind the driver to take over vehicle control before the vehicle approaches specific areas where driver assistance functions cannot operate properly, thus ensuring driving safety. These preset areas mainly refer to areas where driver assistance functions cannot be used, such as toll booths, tunnels, and construction sites. These areas may experience difficulties in accurate operation of the driver assistance system due to poor visibility, signal interference, or complex road structures.

[0065] Optionally, when the distance between the vehicle and the aforementioned preset type of area is less than or equal to a preset distance threshold, the vehicle's driver assistance system will trigger a warning message. The setting of this distance threshold needs to consider various factors, such as vehicle speed, area type, and possible intervention time, to ensure that the driver has sufficient time to react and take over control. For example, when the vehicle is about to enter a tollbooth area, the system will issue a warning 500 meters in advance.

[0066] Optionally, warning information can be conveyed to the driver in various ways, including but not limited to audible alarms, instrument panel displays, touchscreen pop-ups, or vibration notifications. The purpose of the warning is to clearly inform the driver that the driver assistance function is about to disengage and that the vehicle requires manual control to navigate the upcoming complex or restricted area.

[0067] Optionally, by providing early warnings, special circumstances where driving assistance functions are limited can be properly handled, effectively avoiding potential safety risks and improving the overall driving experience and safety.

[0068] As an optional implementation, the navigation map information includes at least: road speed limit information, number of lanes information, lane driving direction information, lane driving curvature information, ramp information, and traffic light information.

[0069] In this embodiment, navigation map information is a crucial component of the driver assistance control process. It not only includes macroscopic road data along the vehicle's travel path but also incorporates detailed information essential for formulating driving strategies. For example, this navigation map information includes, but is not limited to: road speed limit information, number of lanes information, lane travel direction information, lane travel curvature information, ramp information, and traffic light information.

[0070] Optionally, road speed limit information provides the maximum speed limit on the road the vehicle is currently or will be traveling on, which is crucial for maintaining driving compliance and safety. The driver assistance system can use map information to learn about road speed limits in advance, and even when cameras cannot recognize speed limit signs, it can automatically adjust the cruise speed based on map data to ensure the vehicle does not exceed the speed limit.

[0071] Optionally, lane number information helps the driver assistance system accurately determine whether the road where the vehicle is located is a multi-lane road, and the specific number of lanes. On multi-lane roads, especially when there are many lanes (e.g., 5 lanes), it may be difficult to accurately identify all lane lines by relying solely on the onboard camera. Map information can supplement this deficiency, ensuring that the system accurately judges the vehicle's position, thereby improving the effectiveness of control functions such as automatic lane changing and lane keeping.

[0072] Optionally, lane direction information is crucial for maintaining the correct driving path at intersections, roundabouts, or other complex traffic nodes. As vehicles approach these nodes, map data can inform the system of the direction of travel in each lane in advance, helping the system plan lane-changing actions ahead of time. This ensures that vehicles can accurately enter the intended direction and avoid traffic chaos or accidents caused by incorrect lane occupation.

[0073] Optionally, road curvature information reflects the degree of curvature of the road ahead, which is especially important when the driver needs to navigate sharp bends or a series of curves. By combining curvature information, the driver assistance system can slow down in advance as the vehicle approaches a curve, ensuring that the vehicle can smoothly and safely pass through the curve and avoiding the risk of losing control due to excessive speed.

[0074] Optionally, the ramp information includes the locations of entrances and exits to and from highways or expressways. By acquiring this information in advance, the system can proactively control vehicle lane changes when the vehicle is 1 km away from the ramp, ensuring a timely and smooth entry or exit from the highway and preventing drivers from missing exits or entrances due to not noticing ramp signs.

[0075] Optionally, traffic light information, including the status and countdown of traffic lights, is crucial for ensuring safe driving on urban roads or at intersections. The driver assistance system can adjust vehicle speed based on this information, and when it detects that the traffic light ahead is about to turn red, it can slow down in advance, reducing unnecessary sudden braking and improving driving smoothness and safety.

[0076] Optionally, the aforementioned map information can be requested from the map module based on the vehicle's current location. For example, the map module can request detailed information within a 3km radius ahead based on the vehicle's location information. This reduces data transmission and local storage requirements while ensuring sufficient information for immediate driving decisions. The map module stores map data in a cloud server and downloads updated map information along the navigation path in real time via Ethernet, with each download covering a distance of 10km to ensure data timeliness and sufficiency, while also reducing the need for local vehicle storage.

[0077] Optionally, high-precision information on road speed limits, number of lanes, lane direction, road curvature, ramps, and traffic lights can be integrated into the navigation map information, which significantly improves the adaptability and intelligence of the driving assistance system in complex road environments, providing drivers with safer, more convenient, and more efficient driving assistance services.

[0078] The technical solutions of the embodiments of this application will be illustrated below with reference to preferred embodiments.

[0079] Figure 2 This is a schematic diagram of a vehicle driving assistance system according to an embodiment of this application. Figure 2 As shown, the driving assistance system 200 includes: sensor 201, vehicle infotainment system 202, map server 203, and driving assistance controller 204.

[0080] Sensor 201 can acquire road information on the road the vehicle is currently traveling on through sensors such as lidar, camera, and millimeter-wave radar.

[0081] The vehicle infotainment system 202 includes a navigation module 2021, which provides navigation services, including planning the optimal route, displaying the current vehicle location, and providing navigation commands.

[0082] The map server 203 is used to receive data requests from the map module 2044 in the driver assistance controller 204, and according to the data requests, provide navigation map information within a 10KM range of the vehicle's current location in the navigation path of the vehicle. The data request is generated by the map module after receiving the navigation path sent by the navigation module, based on the current location of the vehicle.

[0083] The driver assistance controller 204 includes a perception module 2041, a planning module 2042, a control module 2043, and a map module 2044. The perception module 2041 receives road information transmitted by the sensor 201 and navigation map information within a 3km radius ahead of the vehicle sent by the map module 2044. After receiving the road information and navigation map information, the perception module 2041 sends them to the planning module 2042. The planning module 2042 plans a driving strategy for the vehicle based on the road information and navigation map information, and then sends the planned driving strategy to the control module 2043. The control module 2043 then controls the vehicle to travel along the navigation path according to the driving strategy.

[0084] The driver assistance systems in these vehicles integrate multiple sensors (such as lidar, cameras, and millimeter-wave radar) and high-precision map information to perceive the vehicle's surroundings more comprehensively and accurately. This includes not only identifying static obstacles and dynamic road users ahead, but also anticipating road conditions such as curves, speed-limited areas, and traffic signals, thereby enabling more precise driving decisions.

[0085] Figure 3 This is a flowchart of another vehicle driving assistance control method according to an embodiment of this application, such as... Figure 3 As shown, the method includes the following steps.

[0086] Step S301: Receive the navigation route set by the user.

[0087] In this embodiment, the driver assistance system receives navigation routes input by the user, typically through driver interaction on the vehicle's infotainment interface. The user-defined destination and route preferences are uploaded to the system as the basis for subsequent automatic navigation and assisted driving.

[0088] Step S302: Activate the vehicle's driver assistance functions.

[0089] In this embodiment, after the user sets the navigation route, the system will prompt the driver to activate the driving assistance function. Once activated, the driving assistance system will take over some or all control of the vehicle to achieve automatic or semi-automatic driving assistance.

[0090] Step S303: Obtain vehicle behavior information and navigation map information through the map module.

[0091] In this embodiment, the map module begins operation, receiving real-time vehicle behavior information (such as location, speed, and direction) from onboard sensors, and simultaneously requesting and receiving high-precision navigation map information from the cloud server regarding the vehicle's current location and the area within 10 kilometers ahead on the navigation route. This information is crucial for subsequent decision-making and control.

[0092] Step S304: Output navigation map information through the map module.

[0093] In this embodiment, the map module processes the navigation map information it receives, extracts road attributes related to driving assistance functions (such as speed limits, number of lanes, curvature, special traffic signs, etc.), and sends them to the driving assistance controller. The output information forms the basis for the driving assistance system to perform path planning and control strategy formulation.

[0094] Step S305: Navigate the vehicle to its destination based on navigation map information.

[0095] In this embodiment, the driving assistance controller integrates sensor data and navigation map information provided by the map module to plan the safest and most efficient driving route, and adjusts the vehicle's driving strategy in real time, such as automatic lane changing, passing through intersections, and controlling vehicle speed, to ensure that the vehicle can safely reach its destination along the navigation route set by the user.

[0096] Step S306: Exit the vehicle's driver assistance functions.

[0097] In this embodiment, when the vehicle approaches or reaches its destination, or under certain special circumstances (such as entering a manual driving area, system malfunction, etc.), the driving assistance function will automatically disengage or be manually deactivated by the driver. Before disengaging, the system will ensure a safe transition, such as smoothly handing over control to the driver and reminding the driver to take over vehicle control.

[0098] In steps S301 to S306 above, from the moment the user sets the navigation route until the assistance function is safely deactivated, the map module acts as an information bridge throughout the entire process. It not only provides detailed map data of the vehicle's current and future driving routes, but also realizes real-time updates and downloads of data through the cloud server, ensuring the accuracy and timeliness of the information.

[0099] According to an embodiment of this application, a vehicle driving assistance control device is also provided. It should be noted that this vehicle driving assistance control device can be used to execute the vehicle driving assistance control method described in the embodiments.

[0100] Figure 4 This is a schematic diagram of a vehicle driving assistance control device according to an embodiment of this application. Figure 4As shown, the vehicle's driver assistance control device 400 may include: a first acquisition unit 401, a second acquisition unit 402, a determination unit 403, and a control unit 404.

[0101] The first acquisition unit 401 is used to acquire the vehicle's navigation path and road information on the road on which the vehicle is currently traveling in response to the vehicle's driving assistance function being activated. The road information is used to characterize the local road features on the road on which the vehicle is currently traveling.

[0102] The second acquisition unit 402 is used to acquire navigation map information based on the location information of the vehicle's current location and the navigation path, wherein the navigation map information is used to characterize the global road features within a preset range of the vehicle.

[0103] The determining unit 403 is used to determine the vehicle's driving strategy based on the navigation path, navigation map information, and road information, wherein the driving strategy is used to characterize the rules for the vehicle to travel along the navigation path.

[0104] Control unit 404 is used to control the vehicle to travel along the navigation path according to the driving strategy.

[0105] Optionally, the second acquisition unit 402 is further configured to: request navigation map information within a preset distance range from the current location of the vehicle from the cloud server based on the navigation path, wherein the cloud server is configured to filter navigation map information from the stored map information; and receive navigation map information sent by the cloud server.

[0106] Optionally, the device 400 is also used to: update the vehicle's location information at preset time intervals; and update the navigation map information according to the updated location information.

[0107] Optionally, the determining unit 403 is further configured to: integrate navigation map information and road information based on the navigation path to obtain road map information, wherein the road map information is used to characterize the road conditions and traffic rules on the navigation path; and determine the vehicle's driving strategy based on the road map information and the vehicle's current driving status.

[0108] Optionally, the device 400 is further configured to: output alarm information in response to a vehicle entering a preset type area and the distance between the vehicle and the preset type area being less than or equal to a preset distance threshold, wherein the alarm information is used to remind the driver of the vehicle to take over the vehicle, and the preset type area is used to characterize an area where the driving assistance function cannot be used.

[0109] Optionally, the navigation map information shall include at least: road speed limit information, number of lanes information, lane driving direction information, lane driving curvature information, ramp information, and traffic light information.

[0110] In the driving assistance control device of the vehicle described in this application, when the driving assistance function of the vehicle is activated, the driving strategy of the vehicle can be determined based on the road information and navigation map information on the road on which the vehicle is currently traveling. By combining the road information and navigation map information on the road on which the vehicle is currently traveling, the local road features on the road on which the vehicle is currently traveling and the global road features within a preset distance range of the vehicle can be predicted in advance. This improves the application efficiency of the vehicle's driving assistance function in complex or long-distance scenarios, avoids driving risks caused by untimely reaction or decision-making errors, and significantly improves the driving experience and overall road safety. This solves the technical problem of low application efficiency of driving assistance functions in complex or long-distance scenarios in related technologies.

[0111] Embodiments of this application also provide an electronic device, including: a memory storing an executable program; and a processor for running the program, wherein the program executes the vehicle driving assistance control method of various embodiments of this application when it runs.

[0112] Embodiments of this application also provide a computer-readable storage medium including a stored executable program, wherein, when the executable program is executed, it controls the device where the computer-readable storage medium is located to execute the driving assistance control method for a vehicle according to various embodiments of this application.

[0113] Embodiments of this application also provide a computer program product, including a computer program that, when executed by a processor, implements the vehicle driving assistance control method in various embodiments of this application.

[0114] Embodiments of this application also provide a computer program product, including a non-volatile computer-readable storage medium for storing a computer program, which, when executed by a processor, implements the vehicle driving assistance control method in various embodiments of this application.

[0115] The embodiments of this application also provide a computer program that, when executed by a processor, implements the vehicle driving assistance control methods described in the various embodiments of this application.

[0116] Embodiments of this application also provide a vehicle for executing the driving assistance control methods of the vehicle in various embodiments of this application.

[0117] The sequence numbers of the embodiments in this application are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0118] In the above embodiments of this application, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0119] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. The device embodiments described above are merely illustrative; for example, the division of units can be a logical functional division, and in actual implementation, there may be other division methods. For instance, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual coupling, direct coupling, or communication connection may be through some interfaces; the indirect coupling or communication connection between units or modules may be electrical or other forms.

[0120] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0121] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0122] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as a USB flash drive, read-only memory (ROM), random access memory (RAM), portable hard drive, magnetic disk, or optical disk.

[0123] The above description is only a preferred embodiment of this application. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of this application, and these improvements and modifications should also be considered within the scope of protection of this application.

Claims

1. A driving assistance control method for a vehicle, characterized in that, include: In response to the vehicle's driving assistance function being activated, the navigation path of the vehicle and the road information of the road on which the vehicle is currently traveling are obtained, wherein the road information is used to characterize the local road features on the road on which the vehicle is currently traveling. Based on the location information of the vehicle's current location and the navigation path, navigation map information is obtained, wherein the navigation map information is used to characterize the global road features within a preset distance range of the vehicle; Based on the navigation path, the navigation map information, and the road information, a driving strategy for the vehicle is determined, wherein the driving strategy is used to characterize the rules by which the vehicle travels along the navigation path; According to the driving strategy, the vehicle is controlled to travel along the navigation path.

2. The method according to claim 1, characterized in that, Based on the vehicle's current location information and the navigation route, navigation map information is obtained, including: Based on the navigation path, the system requests navigation map information within a preset distance range from the current location of the vehicle from the cloud server, wherein the cloud server is used to filter the navigation map information from the stored map information. Receive the navigation map information sent by the cloud server.

3. The method according to claim 2, characterized in that, During the vehicle's operation, the method further includes: The vehicle's location information is updated at preset time intervals; Update the navigation map information according to the updated location information.

4. The method according to claim 3, characterized in that, Determining the vehicle's driving strategy based on the navigation path, the navigation map information, and the road information further includes: Based on the navigation path, the navigation map information and the road information are integrated to obtain road map information, wherein the road map information is used to represent the road conditions and traffic rules on the navigation path; Based on the road map information and the vehicle's current driving status, the vehicle's driving strategy is determined.

5. The method according to claim 1, characterized in that, The method further includes: In response to the vehicle entering a preset type area and the distance between the vehicle and the preset type area being less than or equal to a preset distance threshold, an alarm message is output, wherein the alarm message is used to remind the driver of the vehicle to take over the vehicle, and the preset type area is used to characterize the area where the driving assistance function cannot be used.

6. The method according to any one of claims 1 to 5, characterized in that, The navigation map information includes at least: road speed limit information, number of lanes information, lane driving direction information, lane driving curvature information, ramp information, and traffic light information.

7. A driving assistance control device for a vehicle, characterized in that, The device includes: The first acquisition unit is configured to acquire the vehicle's navigation path and road information on the road on which the vehicle is currently traveling, in response to the vehicle's driving assistance function being activated, wherein the road information is used to characterize the local road features on the road on which the vehicle is currently traveling. The second acquisition unit is used to acquire navigation map information based on the location information of the current location of the vehicle and the navigation path, wherein the navigation map information is used to characterize the global road features within a preset range of the vehicle; The determining unit is configured to determine the driving strategy of the vehicle based on the navigation path, the navigation map information, and the road information, wherein the driving strategy is used to characterize the rules by which the vehicle travels along the navigation path; A control unit is configured to control the vehicle to travel along the navigation path in accordance with the driving strategy.

8. An electronic device, characterized in that, include: Memory, which stores executable programs; A processor for running the program, wherein the program, when running, performs the method according to any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a stored executable program, wherein, when the executable program is executed, it controls the device on which the storage medium is located to perform the method according to any one of claims 1 to 6.

10. A vehicle, characterized in that, The vehicle is used to perform the method according to any one of claims 1 to 6.

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