A method, system and device for navigation speed limiting of a vehicle

Abstract

The application discloses a kind of navigation speed limit method, system and equipment of vehicle, the method includes: when vehicle is in navigation driving state, the current driving information of vehicle is obtained;Wherein, the current driving information includes the current driving scene of the vehicle, the current navigation route of the vehicle and current weather state information;According to the driving scene and the current navigation route, the first target vehicle speed value corresponding to the vehicle is determined;According to the current weather state information, the first target vehicle speed value is adjusted, and the second target vehicle speed value is obtained;According to the second target vehicle speed value, the vehicle is speed limited, to improve the safety of vehicle in navigation driving process.

Description

Technical Field

[0001] The present invention relates to the field of vehicle control technology, and in particular to a vehicle navigation speed limit method, system and device. Background Art

[0002] With the advancement of technology, pilot driving systems, which enable autonomous driving on memorized routes, are increasingly being adopted by a wide range of vehicles to reduce traffic risks associated with long-term driving. When a vehicle is traveling on a memorized route—a memorized route from previous trips on that road—the system retrieves the memorized route to create a pilot route, controlling the vehicle to autonomously follow it.

[0003] However, when the existing pilot driving system takes over the control of the vehicle from the driver, it directly controls the speed of the previous vehicle as the static driving speed of the subsequent route. It does not take into account the speed limit requirements of different road sections, which puts the vehicle at risk of speeding during driving. It is also unable to adjust the speed according to the specific driving scenario, which poses a safety risk to the vehicle during driving. Summary of the Invention

[0004] In order to solve the above technical problems, the present invention discloses a vehicle navigation speed limit method, system and equipment to improve driving safety during navigation driving.

[0005] In order to achieve the above objectives, in a first aspect, the present invention discloses a vehicle navigation speed limit method, comprising:

[0006] When the vehicle is in the pilot driving state, obtaining the vehicle's current driving information; wherein the current driving information includes the vehicle's current driving scene, the vehicle's current pilot route, and current weather conditions;

[0007] determining a first target speed value corresponding to the vehicle according to the driving scenario and the current navigation route;

[0008] adjusting the first target vehicle speed value according to the current weather condition information to obtain a second target vehicle speed value;

[0009] The vehicle is speed-limited according to the second target vehicle speed value.

[0010] The present invention discloses a vehicle pilot speed limit method that first determines a first target speed value for the vehicle based on the driving scenario and the current pilot route in the vehicle's current driving information. This first target speed value satisfies speed limit requirements in different scenarios and actual road conditions in different road sections, thereby improving vehicle driving safety. Furthermore, the first target speed is further adjusted using current weather information during the vehicle's pilot driving process, allowing the vehicle to travel at a safer speed in potentially inclement weather, further improving vehicle driving safety during pilot driving.

[0011] As a preferred example, the obtaining of the current driving information of the vehicle includes:

[0012] Obtaining current location information of the vehicle to determine a first current driving scene of the vehicle based on the location information; wherein the first current driving scene includes an urban driving scene and a high-speed driving scene;

[0013] When the vehicle is in an urban driving scenario, road information of the road section where the vehicle is located is obtained according to the vehicle's current navigation route to determine the vehicle's second current driving scenario; wherein the second current driving scenario includes an intersection section driving scenario, a multi-lane section driving scenario and a speed limit section driving scenario.

[0014] When limiting the speed of a vehicle, the present invention takes into account the different speed limit requirements corresponding to different scenarios. Therefore, in order to more accurately execute different speed limit processes, the high-speed scenarios and urban scenarios are first classified, and then the scenarios corresponding to different road sections in the urban area are classified, so that the target vehicle speed determined according to the classification is more in line with the actual driving conditions, thereby improving the safety of pilot driving.

[0015] As a preferred example, determining the first target speed value corresponding to the vehicle according to the driving scenario and the current navigation route includes:

[0016] When it is determined that the vehicle is in a high-speed driving scenario, identifying a high-speed driving lane in which the vehicle is located based on the road information;

[0017] A first speed limit value corresponding to the high-speed driving lane is obtained, and the first speed limit value is determined as a first target vehicle speed value corresponding to the vehicle.

[0018] The present invention takes into account that there are only high-speed vehicles in high-speed scenarios, and therefore performs speed limit protection on the vehicle's travel through the speed limit value corresponding to the lane to adapt to the speed limit requirements of high-speed travel on the high-speed route, thereby improving the safety of pilot driving in high-speed scenarios.

[0019] As a preferred example, determining the first target speed value corresponding to the vehicle according to the driving scenario and the current navigation route includes:

[0020] When it is determined that the vehicle is in a driving scene at an intersection, the distance from the vehicle to the intersection of the road section where the vehicle is located is obtained according to the road information and the current position information;

[0021] When the distance is less than a preset distance threshold, the distance and the current driving speed of the vehicle are input into a pre-built vehicle speed limit adjustment model to obtain a first target vehicle speed value corresponding to the vehicle.

[0022] When the present invention identifies that the current intersection section is in the urban area, it takes into account that the vehicle needs to slow down at the intersection section, and the deceleration of the vehicle takes a certain amount of time. Therefore, the target speed value is calculated according to the distance between the vehicle and the intersection, which can effectively ensure that the vehicle safely passes through the intersection of the section, thereby improving driving safety.

[0023] As a preferred example, determining the first target speed value corresponding to the vehicle according to the driving scenario and the current navigation route includes:

[0024] When it is determined that the vehicle is traveling on a multi-lane road segment, obtaining the number of lanes corresponding to the road segment where the vehicle is located according to the road information;

[0025] A second speed limit value matching the number of lanes is obtained from pre-constructed lane speed limit information, and the second speed limit value is determined as a first target vehicle speed value corresponding to the vehicle.

[0026] The present invention utilizes the number of lanes to execute a target vehicle speed value, thereby limiting the speed of a vehicle when traveling on a road section with multiple lanes, thereby reducing the safety risks caused by lane changes during vehicle driving, thereby improving vehicle driving safety.

[0027] As a preferred example, determining the first target speed value corresponding to the vehicle according to the driving scenario and the current navigation route includes:

[0028] When it is determined that the vehicle is traveling on a speed-limited road section, obtaining a third speed limit value corresponding to the road section currently located by the vehicle from the road information;

[0029] The third speed limit value is determined as the first target vehicle speed value corresponding to the vehicle.

[0030] The present invention takes into account that high-speed sections in urban scenarios only allow high-speed vehicles to pass through. Therefore, the speed limit value corresponding to the section is used to protect the vehicle's travel speed to adapt to the speed limit requirements of high-speed driving on the high-speed section, thereby improving the safety of pilot driving in high-speed sections.

[0031] As a preferred example, adjusting the first target vehicle speed value according to the current weather condition information includes:

[0032] determining the severity of the current weather according to the current weather status information;

[0033] The first target vehicle speed value is adjusted downward according to the severity to obtain a second target vehicle speed value for the vehicle.

[0034] The present invention limits the driving speed of the vehicle according to the severity of the weather, thereby avoiding potential safety hazards caused by severe weather and better improving the safety of the vehicle during driving.

[0035] As a preferred example, limiting the speed of the vehicle according to the second target speed value includes:

[0036] Obtaining a current speed of the vehicle, and comparing the current speed with the second target speed;

[0037] When the current driving speed is greater than the second target speed, the speed of the vehicle is adjusted to the second target speed, so as to control the vehicle to travel according to the second target speed.

[0038] The present invention performs speed limiting only when it is recognized that the current vehicle speed exceeds the target vehicle speed, thereby improving the efficiency of speed limiting for the vehicle.

[0039] In a second aspect, the present invention discloses a vehicle pilot speed limit system, comprising an information collection module, a speed limit matching module, a speed limit adjustment module, and a speed limit module;

[0040] The information acquisition module is used to obtain the current driving information of the vehicle when the vehicle is in the pilot driving state; wherein the current driving information includes the current driving scene of the vehicle, the current pilot route of the vehicle and the current weather condition information;

[0041] The speed limit matching module is used to determine a first target speed value corresponding to the vehicle according to the driving scenario and the current navigation route;

[0042] The speed limit adjustment module is used to adjust the first target vehicle speed value according to the current weather status information to obtain a second target vehicle speed value;

[0043] The speed limit module is used to limit the speed of the vehicle according to the second target speed value.

[0044] The present invention discloses a vehicle pilot speed limit system that first determines a first target speed for the vehicle based on the driving scenario and the current pilot route in the vehicle's current driving information. This target speed satisfies speed limits in different scenarios and actual road conditions along different routes, thereby improving driving safety. Furthermore, the first target speed is adjusted based on current weather information during pilot driving, allowing the vehicle to travel at a safer speed in potentially inclement weather, further improving driving safety during pilot driving.

[0045] In a third aspect, the present invention discloses an electronic device comprising: one or more processors; a storage device for storing one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors implement a vehicle navigation speed limit method as described in the first aspect. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 : A schematic flow chart of a vehicle navigation speed limit method disclosed in an embodiment of the present invention;

[0047] Figure 2 : A schematic structural diagram of a vehicle navigation speed limit system disclosed in an embodiment of the present invention;

[0048] Figure 3 : A schematic flow chart of a vehicle navigation speed limit method disclosed in another embodiment of the present invention. DETAILED DESCRIPTION

[0049] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0050] Example 1

[0051] This embodiment discloses a vehicle navigation speed limit method to improve the safety of the vehicle during navigation. Specifically, the implementation process of the navigation speed limit method can be found in Figure 1 , mainly including steps 101 to 104, wherein the steps are mainly:

[0052] Step 101: When the vehicle is in a pilot driving state, current driving information of the vehicle is obtained; wherein the current driving information includes the current driving scene of the vehicle, the current pilot route of the vehicle, and current weather conditions;

[0053] Step 102: determining a first target speed value corresponding to the vehicle according to the driving scenario and the current navigation route;

[0054] Step 103: adjusting the first target vehicle speed value according to the current weather condition information to obtain a second target vehicle speed value;

[0055] Step 104: Limiting the speed of the vehicle according to the second target speed value.

[0056] In the process of limiting the speed of the vehicle in the above steps 101 to 104, the corresponding target speed value is determined using the current driving scene and the current navigation route of the vehicle, so as to limit the speed of the vehicle in different driving scenes by using the target speed value, thereby improving the safety of vehicle driving. Furthermore, after formulating the target speed that meets the driving scene, the target speed is further adjusted using the current weather status information to reduce the safety risk of vehicle driving in bad weather. Specifically, when limiting the speed of the vehicle, in order to ensure the accuracy of the speed limit and improve the safety of vehicle driving, the step 101 first needs to determine the scene in which the vehicle is currently located. Specifically, the process of scene determination in the step 101 is as follows:

[0057] Step 1011: Acquire current location information of the vehicle to determine a first current driving scene of the vehicle based on the location information; wherein the first current driving scene includes an urban driving scene and a high-speed driving scene;

[0058] Step 1012: When the vehicle is in an urban driving scenario, road information of the road section where the vehicle is located is obtained according to the current navigation route of the vehicle to determine the second current driving scenario of the vehicle; wherein the second current driving scenario includes an intersection section driving scenario, a multi-lane section driving scenario and a speed limit section driving scenario.

[0059] In this embodiment, steps 1011 to 1012 take into account that the speed limit requirements corresponding to different scenarios are also different. Therefore, in order to more accurately execute different speed limit processes, the high-speed scenarios and urban scenarios are first classified, and then the scenarios corresponding to different road sections in the urban area are classified, so that the target vehicle speed determined according to the classification is more in line with the actual driving conditions, thereby improving the safety of pilot driving.

[0060] Furthermore, after performing scenario determination, based on different speed limit requirements corresponding to different scenarios, in order to better improve the safety of the vehicle when automatically driving according to the current navigation route, the driving scenario determined in step 101 is used to obtain a first target speed value corresponding to the vehicle. Specifically, the process of determining different first target speed values ​​corresponding to the vehicle according to different driving scenarios in step 102 is as follows:

[0061] Step 1021: When it is determined that the vehicle is in a high-speed driving scenario, identifying the high-speed driving lane where the vehicle is located based on the road information;

[0062] Step 1022: Obtain a first speed limit value corresponding to the high-speed driving lane, and determine the first speed limit value as a first target vehicle speed value corresponding to the vehicle.

[0063] Step 1023: When it is determined that the vehicle is in a driving scene at an intersection, the distance from the vehicle to the intersection of the road section where the vehicle is located is obtained according to the road information and the current position information;

[0064] Step 1024: When the distance is less than a preset distance threshold, the distance and the current speed of the vehicle are input into a pre-built vehicle speed limit adjustment model to obtain a first target vehicle speed value corresponding to the vehicle.

[0065] Step 1025: When it is determined that the vehicle is traveling on a multi-lane road segment, the number of lanes of the road segment where the vehicle is located is obtained according to the road information;

[0066] Step 1026: Obtain a second speed limit value that matches the number of lanes from pre-constructed lane speed limit information, and determine the second speed limit value as the first target vehicle speed value corresponding to the vehicle.

[0067] Step 1027: When it is determined that the vehicle is traveling on a speed-limited road section, obtaining a third speed limit value corresponding to the road section currently located by the vehicle from the road information;

[0068] Step 1028: Determine the third speed limit value as the first target vehicle speed value corresponding to the vehicle.

[0069] In this embodiment, steps 1021 to 1022 and steps 1027 to 1028 take into account that there are only high-speed vehicles in the highway section in the highway scene or urban scene. Therefore, in order to improve the efficiency of speed limit, the speed limit protection of the vehicle can be directly performed through the speed limit value corresponding to the lane to adapt to the speed limit requirements of high-speed driving on the highway route, thereby improving the safety of pilot driving in the high-speed scene.

[0070] Furthermore, steps 1023 through 1026 calculate corresponding speed limits based on the different road sections the vehicle is on in an urban area. Specifically, when the vehicle is identified as being on an urban intersection, considering that the intersection requires the vehicle to slow down, and that deceleration takes a certain amount of time, a target speed is calculated based on the distance between the vehicle and the intersection. This effectively ensures the vehicle safely passes through the intersection, thereby improving driving safety. When the vehicle is identified as being on a multi-lane road section, the target speed is calculated based on the number of lanes, thereby limiting the speed of the vehicle on a multi-lane road section. This reduces safety risks caused by lane changes during driving, thereby improving driving safety.

[0071] Furthermore, in step 102, an initial first target speed value is established based on the driving scenario corresponding to the vehicle to ensure the driving safety of the vehicle in different driving scenarios. Based on the impact of weather conditions on vehicle driving safety, in certain implementations of this embodiment, information about the vehicle's current weather conditions may be obtained to further adjust the target speed to avoid safety hazards caused by inclement weather. Specifically, the process of adjusting the target speed value based on weather conditions in step 103 is as follows:

[0072] Step 1031: determining the severity of the current weather according to the current weather status information;

[0073] Step 1032: Adjust the first target vehicle speed value downward according to the severity to obtain a second target vehicle speed value for the vehicle.

[0074] In this embodiment, step 1031 and step 1032 limit the vehicle's own driving speed according to the severity of the weather, and try to avoid safety hazards caused by bad weather, thereby better improving the safety of the vehicle during driving.

[0075] Finally, after determining the second target speed value corresponding to the vehicle based on the vehicle's current driving scene and the current weather conditions, the vehicle is speed-limited using the target speed value, so that the vehicle travels at a target speed value that is adapted to the current driving scene and weather conditions, thereby improving driving safety. Specifically, the process of limiting the vehicle's speed based on the second target speed value in step 104 is as follows:

[0076] Step 1041: Acquire the current speed of the vehicle, and compare the current speed with the second target speed;

[0077] Step 1042: When the current driving speed is greater than the second target speed, the vehicle speed is adjusted to the second target speed to control the vehicle driving according to the second target speed.

[0078] In this embodiment, through step 1041 and step 1042, speed limiting is performed only when it is recognized that the current vehicle speed exceeds the target vehicle speed, thereby improving the efficiency of speed limiting for the vehicle.

[0079] On the other hand, this embodiment also discloses a vehicle navigation speed limit system. For the specific structure of the navigation speed limit system, please refer to Figure 2 , including an information collection module 201, a speed limit matching module 202, a speed limit adjustment module 203 and a speed limit module 204.

[0080] The information acquisition module 201 is used to obtain the current driving information of the vehicle when the vehicle is in the pilot driving state; wherein the current driving information includes the current driving scene of the vehicle, the current pilot route of the vehicle and the current weather condition information.

[0081] The speed limit matching module 202 is configured to determine a first target speed value corresponding to the vehicle according to the driving scenario and the current navigation route.

[0082] The speed limit adjustment module 203 is configured to adjust the first target vehicle speed value according to the current weather condition information to obtain a second target vehicle speed value.

[0083] The speed limiting module 204 is configured to limit the speed of the vehicle according to the second target speed value.

[0084] According to Figure 1 A vehicle navigation speed limit method is shown. Accordingly, this embodiment provides an electronic device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, the following is achieved: Figure 1The pilot speed limit method for the vehicle shown. The processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the terminal, connecting various parts of the entire terminal using various interfaces and lines. The memory may be used to store the computer program, and the processor implements various functions of the terminal by running or executing the computer program stored in the memory and calling the data stored in the memory. The memory may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system and at least one application required for a function (such as a sound playback function, an image playback function, etc.); the data storage area may store data created based on the use of the mobile phone (such as audio data, a phone book, etc.). In addition, the memory may include a high-speed random access memory and may also include a non-volatile memory, such as a hard disk, internal memory, a plug-in hard disk, a smart memory card (SMC), a secure digital (SD) card, a flash memory card (Flash Card), at least one disk storage device, a flash memory device, or other volatile solid-state storage device.

[0085] Furthermore, this embodiment also provides a computer-readable storage medium, wherein the computer-readable storage medium includes a stored computer program, wherein when the computer program is executed, the device where the computer-readable storage medium is located is controlled to execute the following Figure 1 The pilot speed limit method for the vehicle shown.

[0086] Among them, such as Figure 2If the vehicle navigation speed limit system shown is implemented in the form of 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, all or part of the processes in the above-mentioned embodiment method can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by the processor, it can implement the steps of the above-mentioned method embodiments. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium can include: any entity or device that can carry the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal and software distribution medium, etc.

[0087] Compared to the prior art, the vehicle pilot speed limit method, system, device, and medium provided in this embodiment have the following beneficial effects:

[0088] This embodiment provides a vehicle pilot speed limit method, system, device, and medium. First, a first target speed value is determined for the vehicle based on the driving scenario and the current pilot route in the vehicle's current driving information. This first target speed value satisfies speed limits in different scenarios and actual road conditions along different routes, thereby improving vehicle driving safety. Furthermore, the first target speed is adjusted using current weather information during pilot driving, allowing the vehicle to travel at a safer speed in potentially inclement weather, further improving vehicle driving safety during pilot driving.

[0089] Example 2

[0090] When a vehicle is traveling along a memorized route, the pilot driving system takes over from the driver to control the vehicle autonomously along the memorized route. The pilot driving system controls the vehicle based on the speed input by the driver before control was taken over, or the vehicle's historical speed along the memorized route. However, using the driver's input speed for vehicle control cannot adapt to changes in driving scenarios, and thus cannot guarantee driving safety. Furthermore, when controlling based on the vehicle's historical speed, changing road conditions can result in different driving scenarios for the same route. These scenarios present different driving conditions, and therefore, controlling based on historical speed can pose safety risks.

[0091] In order to solve the above technical problems and improve the safety of the vehicle when it is automatically driving according to the pilot control system, this embodiment provides a vehicle pilot speed limit method, which obtains the current driving scene and weather status information of the vehicle, and then adapts the corresponding vehicle speed value to the driving scene to improve the safety of the vehicle. Specifically, the specific implementation process of the pilot speed limit method can be referred to Figure 3 , mainly including steps 301 to 304:

[0092] Step 301: When the vehicle is in the pilot driving state, the current driving scene of the vehicle is determined and the current pilot route of the vehicle is obtained.

[0093] Specifically, when a vehicle is in piloted driving control, it is not possible to adaptively limit its speed based on the current environment, thus making it impossible to ensure vehicle driving safety. To address this, certain implementations provided in this embodiment first obtain the vehicle's current driving scenario when it detects that the vehicle is in piloted driving mode, and then formulate a target speed that adapts to the driving scenario, thereby improving the safety of the vehicle in the driving scenario according to the target speed.

[0094] Preferably, when performing scene judgment, the current navigation route of the vehicle when it is in pilot driving can be obtained, and the current navigation route can be matched with the highway route or city route in the memory route saved by the vehicle. When it is determined that the current navigation route corresponds to the city route, the current driving scene of the vehicle is determined to be an urban scene, and when it is determined that the current navigation route corresponds to the highway route, the current driving scene of the vehicle is determined to be a highway scene.

[0095] It should be noted that the method of determining the scene based on the navigation route provided in some implementations of this embodiment is not the only method that can be used for scene discrimination. In other implementations, the current position information of the vehicle can also be determined based on GPS, and then compared with the position of the highway or urban road section to determine whether the vehicle is on the highway. If so, it is determined to be a highway; if not, it is determined to be a city road. The driving scene of the vehicle can also be discriminated based on image recognition, such as by determining whether the vehicle passes through a toll station, tunnel, etc.

[0096] Step 302: When it is determined that the vehicle is in a high-speed scenario, a first speed limit value corresponding to the lane currently in which the vehicle is located is determined based on the current navigation route, and the first speed limit value is used as a first target speed value of the vehicle.

[0097] Specifically, when determining that the vehicle is in a high-speed scenario, based on the fact that the high-speed scenario is relatively simple, that is, there are only high-speed vehicles on the high-speed route, at this time, in order to improve the efficiency of speed limit, in certain implementations of this embodiment, the high-speed lane in which the vehicle is currently located can be identified to obtain the speed limit value corresponding to the high-speed lane, and then the speed limit value can be used as the target speed of the vehicle.

[0098] Preferably, when identifying the lane, the current navigation route of the vehicle is obtained, and then the starting point and end point corresponding to the current navigation route are obtained. Then, GPS positioning can be used to obtain road information of the road section where the starting point and end point are located. The road information generally includes road type, number of lanes, and speed limit information. Then, the speed limit value corresponding to the current navigation route is obtained from the road information, and the speed limit value is determined as the first target speed value of the vehicle.

[0099] Step 303: When it is determined that the vehicle is in an urban scene, the road section scene where the vehicle is currently located is determined based on the current navigation route, so as to determine a second speed limit value corresponding to the vehicle based on the road section scene, and use the second speed limit value as the first target speed value of the vehicle.

[0100] Specifically, when determining that a vehicle is in an urban area, given that urban areas are complex, with multiple types of road sections, each with different speed limits, in order to improve the effectiveness of speed limits, and therefore improve driving safety, certain implementations of this embodiment perform a secondary determination of the vehicle's driving scene, namely, identifying the road type corresponding to the vehicle's urban area.

[0101] Preferably, the current pilot route is matched with a historically stored route, and the road type of the historically stored route is retrieved from the vehicle's memory information to determine the vehicle's current driving scenario based on the road type. For example, if the road type is an intersection, the vehicle is determined to be in an intersection; if the road type is a multi-lane section, the vehicle is determined to be in a multi-lane section; and if the road type is a speed-limited section, the vehicle is determined to be in a speed-limited section. In summary, the vehicle's driving scenario is determined based on the road type corresponding to the current pilot route.

[0102] Furthermore, after determining the driving scenario of the vehicle within the urban area, in order to improve the effect of the speed limit, different speed limit values ​​are formulated for different driving scenarios to improve the safety of vehicle driving. In this regard, in certain implementations of this embodiment, when it is identified that the vehicle is driving on a speed-limited section, the speed limit value corresponding to the speed-limited section is obtained, wherein the speed limit value includes an upper speed limit value and a lower speed limit value; and when it is identified that the vehicle is in a multi-lane section, the number of lanes is identified at this time, and the current corresponding speed limit value is determined based on the preset mapping relationship between the number of vehicles and the speed limit. For example, in a specific embodiment, the speed limit value corresponding to when the number of lanes is 1 is set to A, the speed limit value corresponding to when the number of lanes is 2 is set to B, the speed limit value corresponding to when the number of lanes is 3 is set to C, and the speed limit value corresponding to when the number of lanes is 4 is set to D. When the number of lanes is the number of lanes leading to the lane, since the more lanes there are, the more options there are for the vehicle to drive. At this time, the speed of the vehicle can increase with the increase in the number of lanes. For this, A is set. <B<C<D。

[0103] When the vehicle's driving section is identified as an intersection, the distance between the intersection the vehicle is about to pass and the vehicle's current location can be obtained from the current navigation route, and speed limit protection can be performed based on the distance. After obtaining the remaining distance between the vehicle and the intersection, if the remaining distance is less than a preset distance (e.g., 1 km), the speed limit value can be determined based on a pre-set mapping relationship between the remaining distance and the speed limit. The mapping relationship can be a linear relationship or a discrete relationship, preferably a linear relationship, so that the speed limit value can be smoothly adjusted. In a specific embodiment, an example of the linear relationship is: when the remaining distance between the vehicle and the intersection is 900 meters, the vehicle's speed limit value is set to 80 km / h; when the remaining distance between the vehicle and the intersection is 600 meters, the vehicle's speed limit value is set to 60 km / h; and when the remaining distance between the vehicle and the intersection is 300 meters, the vehicle's speed limit value is set to 50 km / h. As a result, the vehicle's speed limit value decreases as the remaining distance decreases.

[0104] After obtaining the speed limits corresponding to different road sections, the speed limits are determined as the first target speed value for the vehicle. Preferably, when setting speed limits according to the various speed limit setting methods described above, the difference between adjacent speed limits should not exceed 20 km / h to ensure smooth speed transitions. The preferred setting of 20 km / h is based on actual vehicle experience and is determined based on the chassis tuning of each project vehicle.

[0105] Step 304: Acquire current weather condition information to adjust the first target vehicle speed value to a second target vehicle speed value, and limit the speed of the vehicle according to the second target vehicle speed value.

[0106] Specifically, since weather conditions can affect vehicle driving safety, to further ensure vehicle driving safety, certain implementations of this embodiment, after determining a first target speed based on the driving scenario, further adjust the first target speed based on the vehicle's current weather conditions to reduce the impact of inclement weather on vehicle driving. To this end, certain implementations of this embodiment can detect weather conditions, determine a weather impact factor based on the weather conditions, and then adjust the first target speed value, thereby limiting the vehicle's speed based on the adjusted second target speed value.

[0107] Preferably, this embodiment does not provide a means of obtaining weather influencing factors, nor does it impose any restrictions on the weather influencing factors. For example, sensors may be used to detect the current temperature, current humidity, current visibility, etc.; an image acquisition device may be used to determine whether the vehicle is in rain, fog, snow, or other weather types; a visible light device may be used to detect whether the vehicle is driving during the day or at night, etc.

[0108] Furthermore, after obtaining the weather influencing factors, the degree of adjustment of the first target vehicle speed value is determined using the corresponding level of each weather influencing factor. The lower the temperature, humidity, or visibility, the lower the first target vehicle speed value is adjusted. Furthermore, the greater the corresponding level of rain, fog, or snow, the lower the first target vehicle speed value is adjusted. Preferably, when different weather influencing factors correspond to different adjusted second target vehicle speed values, the minimum speed value among the second target vehicle speed values ​​is selected as the final second target vehicle speed value.

[0109] After determining the second target speed value, the current driving speed of the vehicle is obtained and compared with the second target speed; when the current driving speed is greater than the second target speed, the speed of the vehicle is adjusted to the second target speed to control the vehicle driving according to the second target speed, thereby improving the efficiency of speed limit.

[0110] This embodiment provides a vehicle navigation speed limit method, which limits the vehicle speed during navigation according to a memorized route to improve driving safety. When performing speed limit protection, it further distinguishes between highway and urban scenarios, thereby improving the accuracy of speed limit protection. When formulating speed limit values ​​based on scenarios, it further considers the impact of objective environmental factors and other information on driving safety, thereby making the speed limit value more accurate and better improving vehicle driving safety.

[0111] The specific embodiments described above further illustrate the objectives, technical solutions, and beneficial effects of the present invention. It should be understood that the above descriptions are merely specific embodiments of the present invention and are not intended to limit the scope of protection of the present invention. In particular, it should be noted that any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included within the scope of protection of the present invention for those skilled in the art.

Claims

1. A vehicle navigation speed limit method, characterized in that: include: When the vehicle is in a pilot driving state, current driving information of the vehicle is obtained; wherein the current driving information includes the current driving scene of the vehicle, the current pilot route of the vehicle, and current weather condition information; wherein the current position information of the vehicle is obtained to determine a first current driving scene of the vehicle based on the position information; wherein the first current driving scene includes an urban driving scene and a high-speed driving scene; when the vehicle is in an urban driving scene, road information of the road section where the vehicle is located is obtained based on the current pilot route of the vehicle to determine a second current driving scene of the vehicle; wherein the second current driving scene includes an intersection section driving scene, a multi-lane road section driving scene, and a speed-limit section driving scene; Determining a first target speed value corresponding to the vehicle based on the driving scenario and the current navigation route; wherein, when it is determined that the vehicle is in a driving scenario at an intersection, obtaining a distance from the vehicle to an intersection of the road section where the vehicle is located based on the road information and the current position information; when the distance is less than a preset distance threshold, inputting the distance and the current driving speed of the vehicle into a pre-built vehicle speed limit adjustment model to obtain a first target speed value corresponding to the vehicle; adjusting the first target vehicle speed value according to the current weather condition information to obtain a second target vehicle speed value; The vehicle is speed-limited according to the second target vehicle speed value.

2. A vehicle navigation speed limit method according to claim 1, characterized in that: The determining of the first target speed value corresponding to the vehicle according to the driving scenario and the current navigation route includes: When it is determined that the vehicle is in a high-speed driving scenario, identifying a high-speed driving lane in which the vehicle is located based on the road information; A first speed limit value corresponding to the high-speed driving lane is obtained, and the first speed limit value is determined as a first target vehicle speed value corresponding to the vehicle.

3. The vehicle navigation speed limit method according to claim 1, characterized in that: The determining of the first target speed value corresponding to the vehicle according to the driving scenario and the current navigation route includes: When it is determined that the vehicle is traveling on a multi-lane road segment, obtaining the number of lanes of the road segment where the vehicle is located according to the road information; A second speed limit value matching the number of lanes is obtained from pre-constructed lane speed limit information, and the second speed limit value is determined as a first target vehicle speed value corresponding to the vehicle.

4. The vehicle navigation speed limit method according to claim 1, characterized in that: The determining of the first target speed value corresponding to the vehicle according to the driving scenario and the current navigation route includes: When it is determined that the vehicle is traveling on a speed-limited road section, obtaining a third speed limit value of the road section where the vehicle is located from the road information; The third speed limit value is determined as the first target vehicle speed value corresponding to the vehicle.

5. The vehicle navigation speed limit method according to claim 1, characterized in that: The adjusting the first target vehicle speed value according to the current weather condition information includes: determining the severity of the current weather according to the current weather status information; The first target vehicle speed value is adjusted downward according to the severity to obtain a second target vehicle speed value for the vehicle.

6. The vehicle navigation speed limit method according to claim 5, characterized in that: The limiting the speed of the vehicle according to the second target speed value includes: Obtaining a current speed of the vehicle, and comparing the current speed with the second target speed; When the current driving speed is greater than the second target speed, the speed of the vehicle is adjusted to the second target speed, so as to control the vehicle to travel according to the second target speed.

7. A vehicle navigation speed limit system, characterized in that: Including information collection module, speed limit matching module, speed limit adjustment module and speed limit module; The information acquisition module is used to obtain the current driving information of the vehicle when the vehicle is in the pilot driving state; wherein the current driving information includes the current driving scene of the vehicle, the current pilot route of the vehicle and the current weather condition information; wherein the current position information of the vehicle is obtained to determine the first current driving scene of the vehicle according to the position information; wherein the first current driving scene includes an urban driving scene and a high-speed driving scene; when the vehicle is in the urban driving scene, the road information of the road section where the vehicle is located is obtained according to the current pilot route of the vehicle to determine the second current driving scene of the vehicle; wherein the second current driving scene includes an intersection section driving scene, a multi-lane road section driving scene and a speed-limit section driving scene; The speed limit matching module is configured to determine a first target speed value corresponding to the vehicle based on the driving scenario and the current navigation route; wherein, when it is determined that the vehicle is in a driving scenario at an intersection, the distance from the vehicle to the intersection of the road section where the vehicle is located is obtained based on the road information and the current position information; when the distance is less than a preset distance threshold, the distance and the current driving speed of the vehicle are input into a pre-built vehicle speed limit adjustment model to obtain the first target speed value corresponding to the vehicle; The speed limit adjustment module is used to adjust the first target vehicle speed value according to the current weather status information to obtain a second target vehicle speed value; The speed limit module is used to limit the speed of the vehicle according to the second target speed value.

8. An electronic device, characterized in that: include: one or more processors; A storage device is used to store one or more programs, and when the one or more programs are executed by the one or more processors, the one or more processors implement the vehicle pilot speed limit method according to any one of claims 1 to 6.

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