Intelligent driving function adaptive recommendation method and system and medium

Abstract

The invention discloses an intelligent driving function adaptive recommendation method and system and a medium, and belongs to the technical field of automatic driving, and the method comprises the steps: obtaining a road type of a position where an automatic driving vehicle is located; confirming the type of a map which is carried by the autonomous vehicle and is used for navigation; according to the road type and the map type, the corresponding automatic driving function is recommended for the automatic driving vehicle, the road type comprises public roads and internal roads, and the map type comprises a high-precision map and a non-high-precision map. According to the driving function adaptive recommendation method, the most suitable automatic driving function under the current driving loop is provided for the automatic driving vehicle by sensing the driving environment of the automatic driving vehicle and judging the road type of the driving position, so that the safety of the automatic driving process is ensured, the driving function is completely automatically recommended, and the user experience is improved. The driving experience of the driver is improved.

Description

Technical Field

[0001] The present application relates to the field of autonomous driving technology, and in particular to a method, system and medium for adaptively recommending intelligent driving functions. Background Art

[0002] During the vehicle's automatic driving process, the vehicle's automatic driving system will provide the automatic driving vehicle with corresponding automatic driving functions and provide driving instructions for the vehicle's driving according to the different road conditions of the vehicle. Among them, during the vehicle's automatic driving process, multiple different automatic driving driving functions will be set according to different conditions, so as to ensure that the automatic driving vehicle can drive safely in different environments. However, during the driving process of the automatic driving vehicle, how to accurately allocate different automatic driving functions to the automatic driving vehicle, so as to ensure that the automatic driving vehicle can drive safely in accordance with accurate driving instructions under different conditions, is an urgent problem to be solved. In addition, during the automatic driving process, the driver can manually select the corresponding automatic driving function according to the current driving environment of the vehicle to control the automatic driving vehicle. Because the vehicle's driving environment changes, the driver needs to make frequent manual adjustments, which greatly affects the driver's driving experience. Summary of the invention

[0003] In response to the problem in the prior art of how to allocate the most suitable autonomous driving function for the current driving road to the autonomous driving vehicle during the autonomous driving process of the autonomous driving vehicle, the present application proposes an intelligent driving function adaptive recommendation method, system and medium.

[0004] On the first aspect, the present application proposes a method for adaptively recommending intelligent driving functions, including: obtaining the type of road where the autonomous driving vehicle is located; confirming the type of map used for navigation carried by the autonomous driving vehicle itself; and recommending corresponding autonomous driving functions for the autonomous driving vehicle based on the road type and map type, wherein the road types include public roads and internal roads, and the map types include high-precision maps and non-high-precision maps.

[0005] Optionally, obtaining the type of road at the location of the autonomous driving vehicle includes: determining the location of the autonomous driving vehicle by using a positioning unit carried by the autonomous driving vehicle; and determining the type of road based on the location and environmental information obtained by a perception unit carried by the autonomous driving vehicle.

[0006] Optionally, corresponding autonomous driving functions are recommended for the autonomous driving vehicle based on the road type and map type, including: when the road type is a public road and the map type is a high-precision map, if the autonomous driving vehicle is on a highway on a public road, a highway navigation assisted driving function is recommended for the autonomous driving vehicle; if the autonomous driving vehicle is on an urban road on a public road, an urban road navigation assisted driving function is recommended for the autonomous driving vehicle; if the autonomous driving vehicle is on a parking road on a public road, an automatic parking assistance function is recommended for the autonomous driving vehicle; if the autonomous driving vehicle is on other roads on a public road, then under the condition that lane lines are identified, a lane centering control function is recommended for the autonomous driving vehicle; under the condition that no lane lines exist, an adaptive cruise control function is recommended for the autonomous driving vehicle.

[0007] Optionally, if the autonomous driving vehicle is on a parking road on a public road, an automatic parking assistance function is recommended for the autonomous driving vehicle, including: when the autonomous driving vehicle monitors the parking road, the speed of its own vehicle is less than a preset threshold, the existence of a parking space is recognized and the autonomous driving vehicle has slowed down, determining that the autonomous driving vehicle is in a driving environment of a parking road.

[0008] Optionally, based on the road type and map type, corresponding autonomous driving functions are recommended for the autonomous driving vehicle, including: when the road type is a public road and the map type is a non-precision map, if the driving environment of the autonomous driving vehicle is a parking road, an automatic parking assistance function is recommended for the autonomous driving vehicle; if the driving environment of the autonomous driving vehicle is other roads, under the condition that the existence of lane lines is identified, a lane centering control function is recommended for the autonomous driving vehicle; under the condition that there are no lane lines, an adaptive cruise control function is recommended for the autonomous driving vehicle.

[0009] Optionally, based on the road type and map type, corresponding autonomous driving functions are recommended for the autonomous driving vehicle, including: when the road type is a ground road among internal roads and the map type is an LPNP map, a memory parking pilot assisted driving function is recommended for the autonomous driving vehicle; when the road type is a ground road among internal roads and the map type is a map without LPNP, if a parking space is identified, an automatic parking assistance function is recommended for the autonomous driving vehicle; if a parking space is not identified but the lane line is identified, a lane centering control function is recommended for the autonomous driving vehicle; if a parking space and no lane line are identified, an adaptive cruise control function is recommended for the autonomous driving vehicle.

[0010] Optionally, based on the road type and map type, corresponding autonomous driving functions are recommended for the autonomous driving vehicle, including: when the road type is a parking building road among internal roads, if the map type is a PNP map, then the parking pilot assisted driving function is recommended for the autonomous driving vehicle; if the map type is that only an LPNP map exists, then the memory parking pilot assisted driving function is recommended for the autonomous driving vehicle; if the map type is that there is no map, under the condition that a parking space is identified, the automatic parking assistance function is recommended for the autonomous driving vehicle, and under the condition that no parking space is identified, LPNP learning is performed.

[0011] Optionally, based on the road type and map type, corresponding autonomous driving functions are recommended for the autonomous driving vehicle, including: when the road type is an underground road among internal roads, if the map type is a PNP map, then a parking pilot assisted driving function is recommended for the autonomous driving vehicle; if the map type is that only a LPNP map exists, then a memory parking pilot assisted driving function is recommended for the autonomous driving vehicle; if the map type is that no map exists, under the condition that a parking space is identified, an automatic parking assistance function is recommended for the autonomous driving vehicle, and under the condition that a parking space is not identified, LPNP learning is performed.

[0012] On the second aspect, the present application proposes an adaptive recommendation system for intelligent driving functions, including: a perception module, which obtains the road type where the autonomous driving vehicle is located; a map confirmation module, which confirms the type of map used for navigation carried by the autonomous driving vehicle itself; a function recommendation module, which recommends corresponding autonomous driving functions for the autonomous driving vehicle based on the road type and map type, wherein the road types include public roads and internal roads, and the map types include high-precision maps and non-high-precision maps.

[0013] In a third aspect, the present application provides a computer-readable storage medium storing a computer program, wherein the computer program is operated to execute the method for adaptively recommending intelligent driving functions in the first aspect.

[0014] The method for adaptively recommending driving functions in the present application can provide the most suitable autonomous driving function for the autonomous driving vehicle under the current driving environment by perceiving the driving environment of the autonomous driving vehicle and judging the road type of the driving position, thereby ensuring the safety of the autonomous driving process, fully automatically recommending driving functions, and improving the driver's driving experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings in the following description exemplarily show some embodiments of the present application.

[0016] Figure 1A schematic diagram showing an implementation of the method for adaptively recommending intelligent driving functions of the present application;

[0017] Figure 2 A schematic diagram showing an implementation of the intelligent driving function adaptive recommendation system of the present application.

[0018] The above drawings have shown clear embodiments of the present application, which will be described in more detail later. These drawings and text descriptions are not intended to limit the scope of the present application in any way, but to illustrate the concept of the present application to those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION

[0019] The preferred embodiments of the present application are described in detail below in conjunction with the accompanying drawings so that the advantages and features of the present application can be more easily understood by those skilled in the art, thereby making a clearer and more definite definition of the protection scope of the present application.

[0020] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the statement "include..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0021] During the vehicle's automatic driving process, the vehicle's automatic driving system will provide the automatic driving vehicle with corresponding automatic driving functions and provide driving instructions for the vehicle's driving according to the road conditions and driving environment of the vehicle. Among them, during the vehicle's automatic driving process, multiple different automatic driving driving functions will be set according to different driving conditions, so as to ensure that the automatic driving vehicle can drive safely in different environments. However, during the driving process of the automatic driving vehicle, how to accurately allocate different automatic driving functions to the automatic driving vehicle, so as to ensure that the automatic driving vehicle can drive safely in accordance with accurate driving instructions under different conditions, is an urgent problem to be solved. In addition, during the automatic driving process, the driver can manually select the corresponding automatic driving function according to the current driving environment of the vehicle to control the automatic driving vehicle. Because the vehicle's driving environment changes, the driver needs to make frequent manual adjustments, which greatly affects the driver's driving experience.

[0022] Therefore, this application monitors the road type, map type and other information during the driving process of the autonomous driving vehicle, and automatically recommends the appropriate autonomous driving function for the autonomous driving vehicle through the autonomous driving system to ensure the operation of the autonomous driving vehicle. At the same time, it also omits the process of the driver needing to frequently change the autonomous driving function, and can realize one-click driving of the autonomous driving vehicle.

[0023] In response to the above problems, this application proposes a method, system and medium for adaptively recommending intelligent driving functions. The method includes: obtaining the road type where the autonomous driving vehicle is located; confirming the type of map used for navigation carried by the autonomous driving vehicle itself; and recommending corresponding autonomous driving functions for the autonomous driving vehicle based on the road type and map type, wherein the road type includes public roads and internal roads, wherein public roads include highways and urban roads, etc., and the map type includes high-precision maps and non-high-precision maps, etc.

[0024] This application monitors the environmental information during the driving process of the autonomous driving vehicle, and allocates the most suitable autonomous driving function to the autonomous driving vehicle by different operating environments such as the type of road the vehicle is currently on, such as public roads, internal roads, whether the autonomous driving vehicle is equipped with a high-precision map or a non-high-precision map, and whether the autonomous driving vehicle is currently on a high-speed road or an urban road. Among them, the design and operation scope of the autonomous driving function ODD (Operational Design Domain) includes: PNP (Parking Navigation Pilot) parking navigation assisted driving, LPNP (Learned Parking Navigation Pilot) memory parking navigation assisted driving, APA (Automatic Parking Assist) automatic parking assist, LCC (Lane Centering Control) lane centering control, ACC (Adaptive Cruise Control) adaptive cruise control, HNP (Highway Navigation Pilot) high-speed navigation assisted driving, UNP (Urban Navigation Pilot) urban road navigation assisted driving, etc.

[0025] The technical solution of the present application and how the technical solution of the present application solves the above-mentioned technical problems are described in detail below with specific embodiments. The specific embodiments described below can be combined with each other to form new embodiments. The same or similar ideas or processes described in one embodiment may not be repeated in other embodiments. The embodiments of the present application will be described below in conjunction with the accompanying drawings.

[0026] Figure 1A schematic diagram showing an implementation of the method for adaptively recommending intelligent driving functions of the present application.

[0027] exist Figure 1 In the illustrated embodiment, the intelligent driving function adaptive recommendation method of the present application includes process S101, obtaining the road type at the location of the autonomous driving vehicle.

[0028] In this embodiment, when allocating the autonomous driving function, it is first necessary to know the current environment of the autonomous driving vehicle, determine whether it is on a highway or a city road, etc., and then recommend the most suitable autonomous driving function at the moment.

[0029] Optionally, obtaining the type of road at the location of the autonomous driving vehicle includes: determining the location of the autonomous driving vehicle by using a positioning unit carried by the autonomous driving vehicle; and determining the type of road based on the location and environmental information obtained by a perception unit carried by the autonomous driving vehicle.

[0030] In this optional embodiment, when recommending the corresponding autonomous driving function to the autonomous driving vehicle, the environment in which the autonomous driving vehicle is located and the driving conditions are first determined. In this process, the current position of the autonomous driving vehicle can be determined by the positioning unit carried by the vehicle itself, such as a GPS positioning unit. The position can be used to determine whether the autonomous driving vehicle is on a public road for many vehicles to travel, or on an internal road for only some vehicles to park. Then, through the perception unit carried by the autonomous driving vehicle, such as a radar sensor, a camera, etc., the specific roads around the current autonomous driving vehicle can be obtained, such as determining whether the autonomous driving vehicle is on a highway or a city road, so as to recommend a suitable autonomous driving function to the autonomous driving vehicle.

[0031] exist Figure 1 In the illustrated embodiment, the intelligent driving function adaptive recommendation method of the present application includes process S102, confirming the type of map used for navigation carried by the autonomous driving vehicle itself.

[0032] In this implementation, what kind of autonomous driving function is provided for the vehicle is related to the navigation map carried by the autonomous driving vehicle itself. The navigation map carried by the autonomous driving vehicle includes high-precision maps and non-high-precision maps. Because there is a large gap in map accuracy between high-precision maps and non-high-precision maps, the autonomous driving system recommends different autonomous driving functions for the vehicle according to the different types of maps carried by the vehicle, thereby ensuring the safe driving of the autonomous driving vehicle and the driving experience of the driver.

[0033] exist Figure 1In the illustrated embodiment, the intelligent driving function adaptive recommendation method of the present application includes process S103, which recommends corresponding autonomous driving functions for the autonomous driving vehicle based on the road type and map type.

[0034] In this implementation, after the road type on which the current autonomous driving vehicle is located and the navigation map carried by the vehicle itself are determined, suitable autonomous driving functions are recommended for the autonomous driving vehicle according to the corresponding results. Among them, the design and operation scope of the autonomous driving function ODD (Operational Design Domain) includes: PNP (Parking Navigation Pilot) parking navigation assisted driving, LPNP (Learned Parking Navigation Pilot) memory parking navigation assisted driving, APA (Automatic Parking Assist) automatic parking assist, LCC (Lane Centering Control) lane centering control, ACC (Adaptive Cruise Control) adaptive cruise control, HNP (Highway Navigation Pilot) high-speed navigation assisted driving, UNP (Urban Navigation Pilot) urban road navigation assisted driving, etc. It can be seen that different scenarios have their own corresponding autonomous driving functions, so it is necessary to ensure the accuracy of the autonomous driving function recommendation.

[0035] Among them, LPNP map refers to the high-precision map generated by memory parking, which mainly includes positioning layer, navigation layer, rendering layer and so on.

[0036] Optionally, corresponding autonomous driving functions are recommended for the autonomous driving vehicle based on the road type and map type, including: when the road type is a public road and the map type is a high-precision map, if the autonomous driving vehicle is on a highway on a public road, a highway navigation assisted driving function is recommended for the autonomous driving vehicle; if the autonomous driving vehicle is on an urban road on a public road, an urban road navigation assisted driving function is recommended for the autonomous driving vehicle; if the autonomous driving vehicle is on a parking road on a public road, an automatic parking assistance function is recommended for the autonomous driving vehicle; if the autonomous driving vehicle is on other roads on a public road, then under the condition that lane lines are identified, a lane centering control function is recommended for the autonomous driving vehicle; under the condition that no lane lines exist, an adaptive cruise control function is recommended for the autonomous driving vehicle.

[0037] In this embodiment, when recommending the automatic driving function, the current road type and map type of the automatic driving vehicle are first determined, and then the accuracy of the navigation map carried by the automatic driving vehicle itself is determined. Under the condition that the road type is a public road and the map type is a high-precision map, if the automatic driving vehicle is on a highway in a public road, the high-speed pilot assisted driving function is recommended for the automatic driving vehicle, making the vehicle more suitable for driving on the highway. If the automatic driving vehicle is on an urban road in a public road, the urban road pilot assisted driving function is recommended for the automatic driving vehicle; if the automatic driving vehicle is on other roads in a public road, the lane centering control function is recommended for the automatic driving vehicle under the condition that the lane line is identified, and the adaptive cruise control function is recommended for the automatic driving vehicle under the condition that there is no lane line.

[0038] Optionally, if the autonomous driving vehicle is on a parking road on a public road, an automatic parking assistance function is recommended for the autonomous driving vehicle, including: when the autonomous driving vehicle monitors the parking road, the speed of its own vehicle is less than a preset threshold, the existence of a parking space is recognized and the autonomous driving vehicle has slowed down, determining that the autonomous driving vehicle is in a driving environment of a parking road.

[0039] In this optional embodiment, when determining the driving environment of the parking road, because when parking, firstly there is a corresponding parking road and there are vacant parking spaces, and in addition the speed of the vehicle is decelerating, and the speed of the autonomous driving vehicle is less than the preset threshold, indicating that the vehicle is driving at a low speed at this time, thereby ensuring the safety and stability of the vehicle when parking.

[0040] Specifically, when determining that the autonomous driving vehicle performs the automatic parking assistance function, in order to ensure the safety of parking, the driver can monitor whether the brake pedal is pressed down to further determine the safety of parking. The preset threshold of the vehicle speed can be selected as 20KM / H. This value can be reasonably adjusted according to the actual driving scene or requirements, and this application does not impose specific restrictions.

[0041] Optionally, based on the road type and map type, corresponding autonomous driving functions are recommended for the autonomous driving vehicle, including: when the road type is a public road and the map type is a non-precision map, if the autonomous driving vehicle is in a parking road on a public road, an automatic parking assistance function is recommended for the autonomous driving vehicle; if the autonomous driving vehicle is on other roads on a public road, then under the condition that the existence of lane lines is identified, a lane centering control function is recommended for the autonomous driving vehicle; if there are no lane lines, an adaptive cruise control function is recommended for the autonomous driving vehicle.

[0042] In this optional embodiment, after the vehicle enters a parking road, an automatic parking assistance function is recommended for the autonomous driving vehicle; when the autonomous driving vehicle is located on roads other than expressways, urban roads and parking roads, a lane centering control function and an adaptive cruise control function are recommended for the autonomous driving vehicle based on the presence or absence of lane lines.

[0043] Optionally, based on the road type and map type, corresponding autonomous driving functions are recommended for the autonomous driving vehicle, including: when the road type is a ground road among internal roads and the map type is an LPNP map, a memory parking pilot assisted driving function is recommended for the autonomous driving vehicle; when the road type is a ground road among internal roads and the map type is a map without LPNP, if a parking space is identified, an automatic parking assistance function is recommended for the autonomous driving vehicle; if a parking space is not identified but the lane line is identified, a lane centering control function is recommended for the autonomous driving vehicle; if a parking space and no lane line are identified, an adaptive cruise control function is recommended for the autonomous driving vehicle.

[0044] In this optional embodiment, when the road type is a ground road among internal roads, such as a ground parking lot road, if the autonomous driving vehicle is equipped with an LPNP map, the memory parking pilot assisted driving function is recommended for the autonomous driving vehicle; if the vehicle is not equipped with an LPNP map, but the autonomous driving vehicle recognizes a parking space, the automatic parking assistance function is recommended for the autonomous driving vehicle; if the vehicle does not recognize a parking space but recognizes a lane line, the lane centering control function is recommended for the autonomous driving vehicle, and the vehicle searches for an empty parking space for parking while the vehicle is driving; if the vehicle does not recognize a parking space or a lane line, the adaptive cruise control function is recommended for the autonomous driving vehicle, and the vehicle searches for an empty parking space for parking while the vehicle is driving.

[0045] Optionally, based on the road type and map type, corresponding autonomous driving functions are recommended for the autonomous driving vehicle, including: when the road type is a parking building road among internal roads, if the map type is a PNP map, then the parking pilot assisted driving function is recommended for the autonomous driving vehicle; if the map type is that only an LPNP map exists, then the memory parking pilot assisted driving function is recommended for the autonomous driving vehicle; if the map type is that there is no map, under the condition that a parking space is identified, the automatic parking assistance function is recommended for the autonomous driving vehicle, and under the condition that no parking space is identified, LPNP learning is performed.

[0046] In this optional embodiment, on a parking garage road whose road type is an internal road, if the autonomous driving vehicle is only equipped with a PNP map, the parking pilot assisted driving function is recommended for the autonomous driving vehicle, wherein the automatic parking assistance function of the autonomous driving vehicle is used to park in a random parking space. If the autonomous driving vehicle is equipped with both a PNP map and an LPNP map, the parking pilot assisted driving function is recommended for the autonomous driving vehicle, and the parking space information in the LPNP map is mapped to the PNP map, and the automatic parking assistance function of the autonomous driving vehicle is used to park in a random parking space. If the autonomous driving vehicle is only equipped with an LPNP map, the memory parking pilot assisted driving function is recommended for the autonomous driving vehicle, and the automatic parking assistance function of the autonomous driving vehicle is used to park in a random parking space. When the autonomous driving vehicle is not equipped with the parking garage map, if the parking space is successfully identified, the automatic parking assistance function is recommended for the autonomous driving vehicle; if the parking space is not identified, LPNP learning is performed.

[0047] Optionally, based on the road type and map type, corresponding autonomous driving functions are recommended for the autonomous driving vehicle, including: when the road type is an underground road among internal roads, if the map type is a PNP map, then a parking pilot assisted driving function is recommended for the autonomous driving vehicle; if the map type is that only a LPNP map exists, then a memory parking pilot assisted driving function is recommended for the autonomous driving vehicle; if the map type is that no map exists, under the condition that a parking space is identified, an automatic parking assistance function is recommended for the autonomous driving vehicle, and under the condition that a parking space is not identified, LPNP learning is performed.

[0048] In this optional embodiment, if the autonomous driving vehicle is only equipped with a PNP map, the parking pilot assisted driving function is recommended for the autonomous driving vehicle, wherein the automatic parking assistance function of the autonomous driving vehicle is used to park in a random parking space. If the autonomous driving vehicle is equipped with both a PNP map and an LPNP map, the parking pilot assisted driving function is recommended for the autonomous driving vehicle, and the parking space information in the LPNP map is mapped to the PNP map, and the automatic parking assistance function of the autonomous driving vehicle is used to park in a random parking space. When the autonomous driving vehicle is only equipped with an LPNP map, the memory parking pilot assisted driving function is recommended for the autonomous driving vehicle, and the automatic parking assistance function of the autonomous driving vehicle is used to park in a random parking space. When the autonomous driving vehicle is not equipped with the parking building map, if the parking space is successfully identified, the automatic parking assistance function is recommended for the autonomous driving vehicle; if the parking space is not identified, LPNP learning is performed.

[0049] The method for adaptively recommending driving functions in the present application can provide the most suitable autonomous driving function for the autonomous driving vehicle under the current driving environment by perceiving the driving environment of the autonomous driving vehicle and judging the road type of the driving position, thereby ensuring the safety of the autonomous driving process, fully automatically recommending driving functions, and improving the driver's driving experience.

[0050] Figure 2 A schematic diagram showing an implementation of the intelligent driving function adaptive recommendation system of the present application.

[0051] exist Figure 2 In the implementation manner, the intelligent driving function adaptive recommendation system of the present application includes: a perception module 201, which obtains the road type and driving environment of the autonomous driving vehicle; a map confirmation module 202, which confirms the type of map used for navigation carried by the autonomous driving vehicle itself; a function recommendation module 203, which recommends corresponding autonomous driving functions for the autonomous driving vehicle based on the road type, driving environment and map type, wherein the road types include public roads and internal roads, the driving environment includes highways and urban roads, and the map types include high-precision maps and non-high-precision maps.

[0052] Optionally, in the perception module 201, the position of the autonomous driving vehicle is determined by a positioning unit carried by the autonomous driving vehicle; the road type and driving environment are determined based on the position and environmental information obtained by the perception unit carried by the autonomous driving vehicle.

[0053] Optionally, in the function recommendation module 203, under the condition that the road type is a public road and the map type is a high-precision map, if the autonomous driving vehicle is on a highway on a public road, the highway navigation assisted driving function is recommended for the autonomous driving vehicle; if the autonomous driving vehicle is on an urban road on a public road, the urban road navigation assisted driving function is recommended for the autonomous driving vehicle; if the autonomous driving vehicle is on a parking road on a public road, the automatic parking assistance function is recommended for the autonomous driving vehicle; if the autonomous driving vehicle is on other roads on a public road, then under the condition that the existence of lane lines is identified, the lane centering control function is recommended for the autonomous driving vehicle, and under the condition that there are no lane lines, the adaptive cruise control function is recommended for the autonomous driving vehicle.

[0054] Optionally, in the function recommendation module 203, when the autonomous driving vehicle detects a parking road, the speed of its own vehicle is less than a preset threshold, and the existence of a parking space is recognized and the autonomous driving vehicle has slowed down, it is determined that the autonomous driving vehicle is in a driving environment of a parking road.

[0055] Optionally, in the function recommendation module 203, under the condition that the road type is a public road and the map type is a non-precision map, if the autonomous driving vehicle is in a parking road on a public road, the automatic parking assistance function is recommended for the autonomous driving vehicle; if the autonomous driving vehicle is on other roads on a public road, under the condition that the existence of lane lines is identified, the lane centering control function is recommended for the autonomous driving vehicle; under the condition that there are no lane lines, the adaptive cruise control function is recommended for the autonomous driving vehicle.

[0056] Optionally, in the function recommendation module 203, when the road type is a ground road among internal roads and the map type is an LPNP map, the memory parking pilot assisted driving function is recommended for the autonomous driving vehicle; when the road type is a ground road among internal roads and the map type is a non-LPNP map, if a parking space is identified, the automatic parking assistance function is recommended for the autonomous driving vehicle; if no parking space is identified but the lane line is identified, the lane centering control function is recommended for the autonomous driving vehicle; if no parking space is identified and no lane line is identified, the adaptive cruise control function is recommended for the autonomous driving vehicle.

[0057] Optionally, the method further includes: if no parking space is identified, learning the LPNP of the autonomous driving vehicle.

[0058] Optionally, in the function recommendation module 203, under the condition that the road type is a parking building road among internal roads, if the map type is that there is a PNP map, the parking pilot assisted driving function is recommended for the autonomous driving vehicle; if the map type is that there is only an LPNP map, the memory parking pilot assisted driving function is recommended for the autonomous driving vehicle; if the map type is that there is no map, under the condition that a parking space is identified, the automatic parking assistance function is recommended for the autonomous driving vehicle, and under the condition that no parking space is identified, LPNP learning is performed.

[0059] Optionally, in the function recommendation module 203, under the condition that the road type is an underground road among internal roads, if the map type is that there is a PNP map, the parking pilot assisted driving function is recommended for the autonomous driving vehicle; if the map type is that there is only an LPNP map, the memory parking pilot assisted driving function is recommended for the autonomous driving vehicle; if the map type is that there is no map, under the condition that a parking space is identified, the automatic parking assistance function is recommended for the autonomous driving vehicle, and under the condition that no parking space is identified, LPNP learning is performed.

[0060] In one embodiment of the present application, a computer-readable storage medium stores computer instructions, wherein the computer instructions are operated to execute the deep learning-based speech coding method described in any embodiment. The storage medium may be directly in hardware, in a software module executed by a processor, or in a combination of the two.

[0061] The software modules may reside in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, removable disk, CD-ROM or any other form of storage medium known in the art. An exemplary storage medium is coupled to the processor so that the processor can read information from and write information to the storage medium.

[0062] 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 gates or transistor logic, discrete hardware components, or any combination thereof. A general-purpose processor may be a microprocessor, but in an alternative, the processor may be any conventional processor, controller, microcontroller, or state machine. The processor may also be implemented as a combination of computing devices, such as a combination of a DSP and a microprocessor, a plurality of microprocessors, one or more microprocessors combined with a DSP core, or any other such configuration. In an alternative, the storage medium may be integrated with the processor. The processor and the storage medium may reside in an ASIC. The ASIC may reside in a user terminal. In an alternative, the processor and the storage medium may reside in a user terminal as discrete components.

[0063] In a specific embodiment of the present application, a computer device includes a processor and a memory, the memory storing computer instructions, wherein: the processor operates the computer instructions to execute the deep learning-based speech coding method described in any embodiment.

[0064] In the embodiments provided in the present application, it should be understood that the disclosed device can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of units is only a logical function division, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0065] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0066] The above are merely embodiments of the present application, and are not intended to limit the patent scope of the present application. Any equivalent structural transformations made using the contents of the present application specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present application.

Claims

1. A method for adaptively recommending intelligent driving functions, characterized in that: include: Obtain the road type where the autonomous vehicle is located; Confirming the type of map used for navigation by the autonomous driving vehicle itself; According to the road type and the map type, a corresponding autonomous driving function is recommended for the autonomous driving vehicle, wherein the road type includes public roads and internal roads, and the map type includes high-precision maps and non-high-precision maps.

2. The method for adaptively recommending intelligent driving functions according to claim 1, characterized in that: The obtaining of the road type at the location of the autonomous driving vehicle includes: Determining the position of the autonomous driving vehicle by using a positioning unit carried by the autonomous driving vehicle; The road type is determined based on the location and environmental information acquired by a perception unit carried by the autonomous driving vehicle.

3. The method for adaptively recommending intelligent driving functions according to claim 1, characterized in that: The recommending a corresponding autonomous driving function for the autonomous driving vehicle according to the road type and the map type includes: Under the condition that the road type is a public road and the map type is a high-precision map, If the autonomous driving vehicle is on a highway on a public road, recommending a highway pilot assisted driving function for the autonomous driving vehicle; If the autonomous driving vehicle is on an urban road among public roads, recommending an urban road pilot assisted driving function for the autonomous driving vehicle; If the autonomous driving vehicle is in a parking road on a public road, recommending an automatic parking assistance function for the autonomous driving vehicle; If the autonomous driving vehicle is on other roads on public roads, a lane centering control function is recommended for the autonomous driving vehicle if the presence of lane lines is identified; and an adaptive cruise control function is recommended for the autonomous driving vehicle if the presence of lane lines is not identified.

4. The method for adaptively recommending intelligent driving functions according to claim 3, characterized in that: If the autonomous driving vehicle is in a parking road on a public road, recommending an automatic parking assistance function for the autonomous driving vehicle includes: When the autonomous driving vehicle detects a parking road, the speed of the vehicle itself is less than a preset threshold, the existence of a parking space is recognized and the autonomous driving vehicle has decelerated, it is determined that the autonomous driving vehicle is in the driving environment of the parking road.

5. The method for adaptively recommending intelligent driving functions according to claim 1, characterized in that: The recommending a corresponding autonomous driving function for the autonomous driving vehicle according to the road type and the map type includes: Under the condition that the road type is a public road and the map type is an inaccurate map, If the autonomous driving vehicle is in a parking road on a public road, recommending an automatic parking assistance function for the autonomous driving vehicle; If the autonomous driving vehicle is on other roads on public roads, a lane centering control function is recommended for the autonomous driving vehicle if the presence of lane lines is identified; and an adaptive cruise control function is recommended for the autonomous driving vehicle if the presence of lane lines is not identified.

6. The method for adaptively recommending intelligent driving functions according to claim 1, characterized in that: The recommending a corresponding autonomous driving function for the autonomous driving vehicle according to the road type and the map type includes: Under the condition that the road type is a ground road in an internal road and the map type is an LPNP map, recommending a memory parking pilot assisted driving function for the autonomous driving vehicle; Under the condition that the road type is a ground road in an internal road and the map type is a map without LPNP, if a parking space is identified, an automatic parking assistance function is recommended for the autonomous driving vehicle; If the parking space is not identified but the lane line is identified, a lane centering control function is recommended for the autonomous driving vehicle; If neither the parking space nor the lane line is identified, an adaptive cruise control function is recommended for the autonomous driving vehicle.

7. The method for adaptively recommending intelligent driving functions according to claim 1, characterized in that: The recommending a corresponding autonomous driving function for the autonomous driving vehicle according to the road type and the map type includes: Under the condition that the road type is a parking building road in an internal road, if the map type is a PNP map, a parking pilot assisted driving function is recommended for the autonomous driving vehicle; If the map type is that only LPNP maps exist, a memory parking pilot assisted driving function is recommended for the autonomous driving vehicle; If the map type is that the map does not exist, under the condition that a parking space is identified, an automatic parking assistance function is recommended for the autonomous driving vehicle, and under the condition that a parking space is not identified, LPNP learning is performed.

8. The method for adaptively recommending intelligent driving functions according to claim 1, characterized in that: The recommending a corresponding autonomous driving function for the autonomous driving vehicle according to the road type and the map type includes: Under the condition that the road type is an underground road in an internal road, if the map type is a PNP map, recommending a parking pilot assisted driving function for the autonomous driving vehicle; If the map type is that only LPNP maps exist, a memory parking pilot assisted driving function is recommended for the autonomous driving vehicle; If the map type is that the map does not exist, under the condition that a parking space is identified, an automatic parking assistance function is recommended for the autonomous driving vehicle, and under the condition that a parking space is not identified, LPNP learning is performed.

9. An intelligent driving function adaptive recommendation system, characterized in that: include: A perception module that obtains the type of road where the autonomous vehicle is located; A map confirmation module, which confirms the type of map used for navigation carried by the autonomous driving vehicle itself; A function recommendation module recommends corresponding autonomous driving functions for the autonomous driving vehicle based on the road type, the driving environment and the map type, wherein the road types include public roads and internal roads, and the map types include high-precision maps and non-high-precision maps.

10. A computer-readable storage medium storing a computer program, wherein the computer program is operated to execute the intelligent driving function adaptive recommendation method according to any one of claims 1 to 8.

Images