Method and device for storing data in driving assistance system, medium and driving assistance system

Abstract

The embodiment of the invention provides a data storage method and device in a driving assistance system, a medium and the driving assistance system. Collecting surrounding scene data of the vehicle in a driving state according to a driving assistance system; the emergency state of the vehicle under the assistance of the driving assistance system is monitored in real time, corresponding emergency scene data are collected, a data combination is constructed according to the surrounding scene data and the emergency scene data, the data combination is divided into multiple pieces of function data, the multiple pieces of function data are partitioned to form corresponding data areas, and the data areas are used for storing the data. A corresponding data storage space is matched; according to the priority of the plurality of data storage spaces, the plurality of data storage spaces are triggered to classify and store the data, and the data storage spaces are mutually independent so as to isolate the data storage spaces, so that a plurality of functional data are effectively split, data abnormal coverage is avoided, and the data storage efficiency is improved. And the storage security of each piece of data in the vehicle is ensured.

Description

Technical Field

[0001] The present application relates to the technical field of driving assistance systems, and in particular to a method, device, medium and driving assistance system for storing data in a driving assistance system. Background Art

[0002] With the development of science and technology, driving assistance systems are applied to vehicles and continue to assist driving of vehicles. The automated driving of vehicles is gradually developed, and the role of driving assistance systems is gradually revealed. In the existing technology, the driving assistance system collects multiple data of the vehicle in driving state, and defines the state of the vehicle based on the multiple data. However, there is no control over emergency situations of the vehicle in driving state. At the same time, various data are mixed in the same space, which is prone to abnormal data coverage, affecting the storage security of various data in the vehicle. Summary of the invention

[0003] The embodiments of the present application provide a method, device, medium and driving assistance system for storing data in a driving assistance system, which collect multiple dynamic parameters of a vehicle and define the state of the vehicle based on the multiple dynamic parameters; when the state of the vehicle is a driving state, dynamically traverse the vehicle and locate the driving assistance system in the vehicle; collect surrounding scene data of the vehicle in the driving state according to the driving assistance system; monitor the emergency state of the vehicle with the assistance of the driving assistance system in real time, and collect corresponding emergency scene data, so as to introduce emergency scene data and surrounding scene data, thereby performing overall management and control of the emergency scene data and surrounding scene data, and performing multi-dimensional management and control of the vehicle.

[0004] At this time, a data combination is constructed according to the surrounding scene data and the emergency scene data, and the data combination is divided into multiple functional data, and the multiple functional data are partitioned to form corresponding data areas and match corresponding data storage spaces; the classification and storage of data in multiple data storage spaces are triggered according to the priorities of the multiple data storage spaces, and each data storage space is independent of each other, so as to isolate each data storage space, thereby effectively splitting multiple functional data to avoid abnormal data coverage and ensure the storage security of each data in the vehicle.

[0005] Other features and advantages of the present application will become apparent from the following detailed description, or may be learned in part by the practice of the present application.

[0006] According to one aspect of an embodiment of the present application, a method for storing data in a driving assistance system is provided, which is applied to a data storage scenario in a driving assistance system; the method for storing data in a driving assistance system comprises:

[0007] Collect multiple dynamic parameters of the vehicle and define the state of the vehicle according to the multiple dynamic parameters;

[0008] When the vehicle is in a driving state, dynamically traverse the vehicle and locate the driving assistance system in the vehicle;

[0009] The driving assistance system collects surrounding scene data of the vehicle while it is in motion;

[0010] Real-time monitoring of the emergency status of the vehicle with the assistance of the driving assistance system, and collection of corresponding emergency scenario data;

[0011] Constructing a data combination according to the surrounding scene data and the emergency scene data, dividing the data combination into a plurality of functional data, partitioning the plurality of functional data to form a corresponding data area, and matching the corresponding data storage space;

[0012] The multiple data storage spaces are triggered to classify and store data according to the priorities of the multiple data storage spaces, and the various data storage spaces are independent of each other.

[0013] Optionally, collecting multiple dynamic parameters of the vehicle and defining the state of the vehicle according to the multiple dynamic parameters includes:

[0014] Collect user information and determine vehicle information based on the screening of user information;

[0015] Positioning a corresponding vehicle based on vehicle information;

[0016] Traverse the vehicle and collect multiple dynamic parameters of the vehicle;

[0017] Freeze multiple dynamic parameters and associate multiple dynamic parameters;

[0018] The state of the vehicle is defined based on a number of dynamic parameters.

[0019] Optionally, when the vehicle is in a driving state, dynamically traversing the vehicle and locating a driving assistance system in the vehicle includes:

[0020] When the vehicle is in a driving state, dynamic monitoring is performed on the vehicle;

[0021] In the dynamic monitoring of the vehicle, the driving data of the vehicle is collected, and the corresponding driving mode is defined according to the driving data of the vehicle;

[0022] Match your traversal mode based on driving mode;

[0023] Dynamically traverse the vehicle along the traversal pattern and the vehicle's travel speed;

[0024] During the dynamic traversal of the vehicle, the driving assistance system in the vehicle is positioned with respect to the vehicle.

[0025] Optionally, collecting surrounding scene data of the vehicle in a driving state according to the driving assistance system includes:

[0026] In the driver assistance system, dynamic acquisition is triggered based on the vehicle's driving status;

[0027] Multiple cameras are arranged around the vehicle to collect surrounding scene data of the vehicle in different directions while the vehicle is in motion;

[0028] Mark the corresponding direction based on the surrounding scene data, and construct the surrounding environment features in each direction of the vehicle based on the surrounding scene data in multiple directions;

[0029] The vehicle's environmental scene is defined based on the surrounding environment characteristics in all directions of the vehicle and the vehicle's driving speed.

[0030] Optionally, the real-time monitoring of the emergency state of the vehicle with the assistance of the driving assistance system and collecting corresponding emergency scene data include:

[0031] Monitor the driver assistance system in real time and collect the signals controlled by the driver assistance system;

[0032] When the vehicle deviates from the preset route, the driving assistance system is triggered to control the vehicle and output an assisted driving signal;

[0033] Defining an emergency state of the vehicle with the assistance of a driving assistance system based on signal analysis of the auxiliary driving signal;

[0034] Classify the emergency state of the vehicle under the assistance of the driving assistance system and define the emergency braking state or the emergency steering assistance state;

[0035] The corresponding emergency scene data is triggered according to the emergency braking state or the emergency steering assist state, and the corresponding emergency scene data is collected.

[0036] Optionally, the data combination is constructed according to the surrounding scene data and the emergency scene data, and the data combination is divided into multiple functional data, and the multiple functional data are partitioned to form corresponding data areas and match corresponding data storage spaces, including:

[0037] Freeze surrounding scene data and emergency scene data;

[0038] Associating surrounding scene data with emergency scene data and defining association parameters;

[0039] Constructing data combination according to associated parameters, surrounding scene data and emergency scene data;

[0040] Divide the data combination into multiple functional data, and match corresponding functional types based on the multiple functional data;

[0041] Partitioning the data according to the plurality of functional data and the corresponding functional types to form corresponding data areas;

[0042] Match the corresponding data storage space based on the data area.

[0043] Optionally, the triggering of classification and storage of data in multiple data storage spaces according to the priorities of the multiple data storage spaces, wherein each data storage space is independent of each other, includes:

[0044] Freeze multiple data storage spaces;

[0045] Collect the functional coefficients of the driver assistance system;

[0046] Defining the priority of multiple data storage spaces based on the functional coefficients of the driver assistance system;

[0047] The multiple data storage spaces are triggered to classify and store data according to the priorities of the multiple data storage spaces; and each data storage space is independent of each other.

[0048] According to one aspect of an embodiment of the present application, a data storage device in a driving assistance system is provided, comprising:

[0049] A collection module, used for collecting multiple dynamic parameters of the vehicle and defining the state of the vehicle according to the multiple dynamic parameters;

[0050] A driving assistance module, used for dynamically traversing the vehicle and locating a driving assistance system in the vehicle when the vehicle is in a driving state;

[0051] The surrounding scene data module is used to collect the surrounding scene data of the vehicle in driving state according to the driving assistance system;

[0052] Emergency scene data module, used to monitor the emergency state of the vehicle with the assistance of the driving assistance system in real time and collect the corresponding emergency scene data;

[0053] A matching module, used to construct a data combination according to the surrounding scene data and the emergency scene data, and divide the data combination into multiple functional data, and partition the multiple functional data to form corresponding data areas, and match corresponding data storage spaces;

[0054] The storage module is used to trigger the classification and storage of data in the multiple data storage spaces according to the priorities of the multiple data storage spaces, and the various data storage spaces are independent of each other.

[0055] According to one aspect of an embodiment of the present application, a computer-readable medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the method for storing data in a driving assistance system as described in the above embodiment is implemented.

[0056] According to one aspect of an embodiment of the present application, a driving assistance system is provided, 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 the method for storing data in the driving assistance system as described in the above embodiments.

[0057] According to one aspect of an embodiment of the present application, a computer program product or a computer program is provided, the computer program product or the computer program including computer instructions, the computer instructions being stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes the method for storing data in the driving assistance system provided in the above embodiment.

[0058] In the technical solutions provided in some embodiments of the present application, multiple dynamic parameters of the vehicle are collected, and the state of the vehicle is defined based on the multiple dynamic parameters; when the vehicle is in a driving state, the vehicle is dynamically traversed and the driving assistance system in the vehicle is located; the surrounding scene data of the vehicle in a driving state is collected according to the driving assistance system; the emergency state of the vehicle with the assistance of the driving assistance system is monitored in real time, and the corresponding emergency scene data is collected, so as to introduce emergency scene data and surrounding scene data, thereby performing overall management and control of the emergency scene data and surrounding scene data, and performing multi-dimensional management and control of the vehicle.

[0059] At this time, a data combination is constructed according to the surrounding scene data and the emergency scene data, and the data combination is divided into multiple functional data, and the multiple functional data are partitioned to form corresponding data areas and match corresponding data storage spaces; the classification and storage of data in multiple data storage spaces are triggered according to the priorities of the multiple data storage spaces, and each data storage space is independent of each other, so as to isolate each data storage space, thereby effectively splitting multiple functional data to avoid abnormal data coverage and ensure the storage security of each data in the vehicle.

[0060] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] The drawings herein are incorporated into the specification and constitute a part of the specification, showing embodiments consistent with the present application, and together with the specification, are used to explain the principles of the present application. Obviously, the drawings described below are only some embodiments of the present application, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. In the drawings:

[0062] Figure 1 A schematic diagram showing a flow chart of a method for storing data in a driving assistance system according to an embodiment of the present application;

[0063] Figure 2 Shows Figure 1 Schematic diagram of the process of S110;

[0064] Figure 3 Shows Figure 1 Schematic diagram of the process of S120;

[0065] Figure 4 Shows Figure 1 Schematic diagram of the process flow of S130;

[0066] Figure 5 Shows Figure 1 Schematic diagram of the process of S140;

[0067] Figure 6 Shows Figure 1 Schematic diagram of the process flow of S150;

[0068] Figure 7 Shows Figure 1 Schematic diagram of the process of S160;

[0069] Figure 8 A block diagram showing a data storage device in a driving assistance system according to an embodiment of the present application is shown;

[0070] Fig. 9 A schematic diagram of the structure of a computer system suitable for implementing a driving assistance system according to an embodiment of the present application is shown. DETAILED DESCRIPTION

[0071] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in a variety of forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this application will be more comprehensive and complete and fully convey the concept of the example embodiments to those skilled in the art.

[0072] In addition, described feature, structure or characteristic can be combined in one or more embodiments in any suitable manner. In the following description, many specific details are provided to provide a full understanding of the embodiments of the present application. However, those skilled in the art will appreciate that the technical scheme of the present application can be put into practice without one or more of the specific details, or other methods, components, devices, steps, etc. can be adopted. In other cases, known methods, devices, realizations or operations are not shown or described in detail to avoid blurring the various aspects of the application.

[0073] The block diagrams shown in the accompanying drawings are merely functional entities and do not necessarily correspond to physically independent entities. That is, these functional entities may be implemented in software form, or in one or more hardware modules or integrated circuits, or in different networks and / or processor devices and / or microcontroller devices.

[0074] The flowcharts shown in the accompanying drawings are only exemplary and do not necessarily include all the contents and operations / steps, nor must they be executed in the order described. For example, some operations / steps can be decomposed, and some operations / steps can be combined or partially combined, so the actual execution order may change according to actual conditions.

[0075] Figure 1 A schematic diagram of a method for storing data in a driving assistance system according to an embodiment of the present application is shown. The method can be applied to data storage scenarios in a driving assistance system.

[0076] See also Figures 1 to 9 A method for maintaining the status of a portable printer is applied to a scenario of diagnosing the status of a portable printer. The method for maintaining the status of a portable printer comprises:

[0077] Step S110: collecting multiple dynamic parameters of the vehicle, and defining the state of the vehicle according to the multiple dynamic parameters;

[0078] Step S120: When the vehicle is in a driving state, dynamically traverse the vehicle and locate the driving assistance system in the vehicle;

[0079] Step S130: collecting surrounding scene data of the vehicle in a driving state according to the driving assistance system;

[0080] Step S140: real-time monitoring of the emergency state of the vehicle with the assistance of the driving assistance system, and collecting corresponding emergency scene data;

[0081] Step S150: constructing a data combination according to the surrounding scene data and the emergency scene data, and dividing the data combination into a plurality of functional data, and partitioning the plurality of functional data to form a corresponding data area, and matching the corresponding data storage space;

[0082] Step S160: triggering the classification and storage of data in the multiple data storage spaces according to the priorities of the multiple data storage spaces, wherein the various data storage spaces are independent of each other.

[0083] In an embodiment of the present invention, through the method in the embodiment of the present invention, multiple dynamic parameters of the vehicle are collected, and the state of the vehicle is defined according to the multiple dynamic parameters; when the state of the vehicle is a driving state, the vehicle is dynamically traversed and the driving assistance system in the vehicle is located; the surrounding scene data of the vehicle in the driving state is collected according to the driving assistance system; the emergency state of the vehicle with the assistance of the driving assistance system is monitored in real time, and the corresponding emergency scene data is collected, so as to introduce the emergency scene data and the surrounding scene data, so as to perform overall management and control on the emergency scene data and the surrounding scene data, and perform multi-dimensional management and control on the vehicle.

[0084] At this time, a data combination is constructed according to the surrounding scene data and the emergency scene data, and the data combination is divided into multiple functional data, and the multiple functional data are partitioned to form corresponding data areas and match corresponding data storage spaces; the classification and storage of data in multiple data storage spaces are triggered according to the priorities of the multiple data storage spaces, and each data storage space is independent of each other, so as to isolate each data storage space, thereby effectively splitting multiple functional data to avoid abnormal data coverage and ensure the storage security of each data in the vehicle.

[0085] refer to Figure 2 , in step S110, a plurality of dynamic parameters of the vehicle are collected, and the state of the vehicle is defined according to the plurality of dynamic parameters;

[0086] In the specific implementation process of the present invention, the specific steps may be:

[0087] S111: collecting user information, and determining vehicle information according to the screening of the user information;

[0088] S112: locating the corresponding vehicle based on the vehicle information;

[0089] S113: traversing the vehicle and collecting multiple dynamic parameters of the vehicle;

[0090] S114: freezing a plurality of dynamic parameters, and associating the plurality of dynamic parameters;

[0091] S115: Define the state of the vehicle according to multiple dynamic parameters.

[0092] In an embodiment of the present application, user information is collected, and vehicle information is fixed based on the screening of the user information, thereby introducing vehicle information to facilitate locating the corresponding vehicle based on the vehicle information, and then locating the vehicle, so as to facilitate further control of the vehicle.

[0093] At this time, the vehicle is traversed and multiple dynamic parameters of the vehicle are collected to facilitate control of the multiple dynamic parameters of the vehicle. Therefore, multiple dynamic parameters are fixed and associated; the state of the vehicle is defined according to the multiple dynamic parameters. Optionally, the multiple dynamic parameters include the speed parameter of the vehicle, the orientation posture of the vehicle, the change parameter of the vehicle, etc.

[0094] refer to Figure 3 , in step S120, when the state of the vehicle is the driving state, dynamically traverse the vehicle and locate the driving assistance system in the vehicle;

[0095] In the specific implementation process of the present invention, the specific steps may be:

[0096] S121: When the vehicle is in a driving state, dynamically monitor the vehicle;

[0097] S122: In dynamic monitoring of the vehicle, collecting driving data of the vehicle, and defining a corresponding driving mode according to the driving data of the vehicle;

[0098] S123: Matching your traversal mode based on the driving mode;

[0099] S124: Dynamically traverse the vehicle along the traversal pattern and the vehicle's travel speed;

[0100] S125: During the dynamic traversal of the vehicle, locate the driving assistance system in the vehicle with respect to the vehicle.

[0101] In an embodiment of the present application, when the vehicle is in a driving state, dynamic monitoring is performed on the vehicle so as to dynamically monitor the vehicle during driving. At this time, in the dynamic monitoring of the vehicle, the driving data of the vehicle is collected, and a corresponding driving mode is defined based on the driving data of the vehicle so as to introduce the driving mode, thereby matching your traversal mode based on the driving mode.

[0102] Furthermore, the vehicle is dynamically traversed along the traversal pattern and the vehicle's driving speed; during the dynamic traversal of the vehicle, the driving assistance system in the vehicle is located for the vehicle, so as to introduce the driving assistance system, so as to further control the driving assistance system, and perform data storage control on the driving assistance system.

[0103] refer to Figure 4, in step S130, the surrounding scene data of the vehicle in driving state is collected according to the driving assistance system;

[0104] In the specific implementation process of the present invention, the specific steps may be:

[0105] S131: In the driving assistance system, triggering dynamic collection based on the driving state of the vehicle;

[0106] S132: multiple cameras are arranged around the vehicle to collect surrounding scene data of the vehicle in a driving state along different directions;

[0107] S133: marking corresponding directions based on the surrounding scene data, and constructing surrounding environment features in each direction of the vehicle according to the surrounding scene data in multiple directions;

[0108] S134: Define the vehicle's environmental scene based on the surrounding environment characteristics in all directions of the vehicle and the vehicle's driving speed.

[0109] In an embodiment of the present application, in a driving assistance system, dynamic collection is triggered based on the driving state of the vehicle to facilitate dynamic collection of data. At this time, multiple cameras are arranged on the surrounding sides of the vehicle, and collect surrounding scene data of the vehicle in a driving state along different directions, thereby introducing surrounding scene data, so as to mark the corresponding direction based on the surrounding scene data, and construct the surrounding environment characteristics in each direction of the vehicle based on the surrounding scene data in multiple directions.

[0110] At the same time, the vehicle's environmental scene is defined based on the surrounding environment characteristics in all directions of the vehicle and the vehicle's driving speed, so that the vehicle's environmental scene is defined based on multiple surrounding environment characteristics and is compatible with the driving speed, further controlling the accuracy of the vehicle's environmental scene.

[0111] refer to Figure 5 , S140: real-time monitoring of the emergency state of the vehicle with the assistance of the driving assistance system, and collecting corresponding emergency scene data;

[0112] In the specific implementation process of the present invention, the specific steps may be:

[0113] S141: monitor the driving assistance system in real time and collect signals controlled by the driving assistance system;

[0114] S142: When the vehicle deviates from the preset route, triggering the driving assistance system to control the vehicle and output an auxiliary driving signal;

[0115] S143: defining an emergency state of the vehicle with the assistance of the driving assistance system based on signal analysis of the auxiliary driving signal;

[0116] S144: Classifying the emergency state of the vehicle under the assistance of the driving assistance system and defining an emergency braking state or an emergency steering assistance state;

[0117] S145: triggering corresponding emergency scene data according to the emergency braking state or the emergency steering assist state, and collecting the corresponding emergency scene data.

[0118] In an embodiment of the present application, the driving assistance system is monitored in real time, and the signals controlled by the driving assistance system are collected to freeze the signals controlled by the driving assistance system. When the vehicle deviates from the preset route, the driving assistance system is triggered to control the vehicle and output an assisted driving signal to introduce the assisted driving signal and further analyze the assisted driving signal.

[0119] At this time, the emergency state of the vehicle with the assistance of the driving assistance system is defined based on the signal analysis of the auxiliary driving signal; the emergency state of the vehicle with the assistance of the driving assistance system is classified, and the emergency braking state or the emergency steering assistance state is defined, so as to carry out targeted management and control of the emergency braking state or the emergency steering assistance state, thereby triggering the corresponding emergency scene data according to the emergency braking state or the emergency steering assistance state, and collecting the corresponding emergency scene data, so as to carry out data management and control of the emergency scene data. Optionally, the emergency state is the vehicle state corresponding to the vehicle in an emergency, including emergency braking state, emergency acceleration state, emergency braking state or emergency steering assistance state, etc. Correspondingly, the emergency scene data is the vehicle data of the vehicle in an emergency state, such as the vehicle's speed data, emergency stop data, etc.

[0120] refer to Figure 6 , S150: constructing a data combination according to the surrounding scene data and the emergency scene data, and dividing the data combination into a plurality of functional data, and partitioning the plurality of functional data to form a corresponding data area, and matching the corresponding data storage space;

[0121] In the specific implementation process of the present invention, the specific steps may be:

[0122] S151: freeze surrounding scene data and emergency scene data;

[0123] S152: Associating the surrounding scene data with the emergency scene data, and defining association parameters;

[0124] S153: constructing a data combination according to the associated parameters, the surrounding scene data and the emergency scene data;

[0125] S154: Dividing the data combination into a plurality of functional data, and matching corresponding functional types based on the plurality of functional data;

[0126] S155: partitioning the data according to the plurality of functional data and the corresponding functional types to form corresponding data areas;

[0127] S156: Matching corresponding data storage space based on the data area.

[0128] In an embodiment of the present application, the surrounding scene data and the emergency scene data are frozen, and the surrounding scene data and the emergency scene data are compatible, so that overall management and control are performed based on the surrounding scene data and the emergency scene data.

[0129] At this time, the surrounding scene data and the emergency scene data are associated, and the association parameters are defined, so as to construct a data combination according to the association parameters, the surrounding scene data and the emergency scene data; the data combination is divided into multiple functional data, and the corresponding functional types are matched based on the multiple functional data, thereby realizing the division of multiple functional data. Optionally, the surrounding scene data is the data of the surrounding environment of the vehicle during dynamic driving, and is associated through the surrounding scene data and the emergency scene data. The surrounding scene data includes the driving data of other vehicles around the vehicle, the obstacle data of the environment, etc.

[0130] Furthermore, data partitioning is performed according to a plurality of functional data and corresponding functional types to form corresponding data areas; and corresponding data storage spaces are matched based on the data areas, thereby ensuring the management and control of data by the data storage space.

[0131] refer to Figure 7 , S160: triggering multiple data storage spaces to classify and store data according to the priorities of the multiple data storage spaces, and each data storage space is independent of each other;

[0132] In the specific implementation process of the present invention, the specific steps may be:

[0133] S161: freeze multiple data storage spaces;

[0134] S162: Collecting function coefficients of the driving assistance system;

[0135] S163: defining priorities of multiple data storage spaces based on a functional coefficient of the driving assistance system;

[0136] S164: Triggering the classification and storage of data in the multiple data storage spaces according to the priorities of the multiple data storage spaces; each data storage space is independent of each other.

[0137] During the specific implementation of the present invention, a data combination is constructed according to the surrounding scene data and the emergency scene data, and the data combination is divided into multiple functional data, and the multiple functional data are partitioned to form corresponding data areas and match corresponding data storage spaces; the classification and storage of data by multiple data storage spaces are triggered according to the priorities of the multiple data storage spaces, and the various data storage spaces are independent of each other, so as to isolate each data storage space, thereby effectively splitting the multiple functional data to avoid abnormal data coverage and ensure the storage security of various data in the vehicle.

[0138] At this time, multiple data storage spaces are frozen and managed, and at the same time, the functional coefficients of the driving assistance system are collected to facilitate further processing of the functional coefficients of the driving assistance system, thereby defining the priorities of multiple data storage spaces based on the functional coefficients of the driving assistance system.

[0139] Therefore, the classification and storage of data in multiple data storage spaces are triggered according to the priority of multiple data storage spaces. Each data storage space is independent of each other, so that each data storage space can be isolated, thereby effectively splitting multiple functional data to avoid abnormal data coverage, and ensuring the storage security of each data in the vehicle. In view of the independence between each data storage space, each data storage space is located in a different position and stores data separately. The data paths of each data storage space are also inconsistent, and there are no repeated paths, so that each data storage space can be isolated and the security of each data storage space can be ensured.

[0140] Specific:

[0141] The driving assistance system consists of 1 front camera, 4 side-view cameras and a vehicle physical bus link; the vehicle physical bus is used to transmit vehicle bus signals, such as vehicle speed, vehicle position, vehicle yaw angle, steering wheel angle ADCU, ADCU driving assistance system status, control instructions, feedback instructions and other signals.

[0142] How the driver assistance system works:

[0143] The ADCU has two categories: safety functions and comfort functions. Safety functions: EMA, AEB;

[0144] Comfort function: NOA;

[0145] NOA stands for the Navigation Assist Driving Assistance System. When NOA is turned on, the vehicle can achieve point-to-point autonomous driving.

[0146] However, when NOA is working, there are situations that exceed the operative area or the driving assistance system cannot handle. At this time, NOA will issue a takeover request. When NOA issues a takeover request, the data recording driving assistance system needs to record the corresponding scene data in order to record the specific reason for the takeover.

[0147] AEB is an automatic emergency braking driver assistance system. It determines whether emergency braking is required based on the target information detected by the sensor and its own motion state. It needs to record the corresponding scene data during emergency braking.

[0148] EMA is the Emergency Steering Assist driver assistance system. It determines whether to provide additional steering torque based on the target information detected by the sensor, its own motion state, and the driver's steering input, thereby achieving emergency steering assistance. The data recording driver assistance system needs to record the corresponding scene data;

[0149] When recording data, the image and bus data are stored in the EMMC through the SOC.

[0150] Data recording principle:

[0151] When AEB or EMA is activated, it is necessary to record the physical bus data and the image information of the front main camera and the side camera. The storage time is the data of 5s before (calibrated value) and 5s after (calibrated value) the activation of AEB / EMA.

[0152] When NOA initiates a takeover request, the data of the first 5s (calibrated value) and the last 5s (calibrated value) need to be recorded differently according to the actual application scenario;

[0153] If the lane change fails, the image information and bus information of the lane to be changed are recorded;

[0154] Beyond the drivable area, the image information of the front main view and the two front side cameras as well as the bus information are recorded.

[0155] In an embodiment of the present invention, through the method in the embodiment of the present invention, multiple dynamic parameters of the vehicle are collected, and the state of the vehicle is defined according to the multiple dynamic parameters; when the state of the vehicle is a driving state, the vehicle is dynamically traversed and the driving assistance system in the vehicle is located; the surrounding scene data of the vehicle in the driving state is collected according to the driving assistance system; the emergency state of the vehicle with the assistance of the driving assistance system is monitored in real time, and the corresponding emergency scene data is collected, so as to introduce the emergency scene data and the surrounding scene data, so as to perform overall management and control on the emergency scene data and the surrounding scene data, and perform multi-dimensional management and control on the vehicle.

[0156] At this time, a data combination is constructed according to the surrounding scene data and the emergency scene data, and the data combination is divided into multiple functional data, and the multiple functional data are partitioned to form corresponding data areas and match corresponding data storage spaces; the classification and storage of data in multiple data storage spaces are triggered according to the priorities of the multiple data storage spaces, and each data storage space is independent of each other, so as to isolate each data storage space, thereby effectively splitting multiple functional data to avoid abnormal data coverage and ensure the storage security of each data in the vehicle.

[0157] The following describes an embodiment of the device of the present application, which can be used to execute the method for storing data in the driving assistance system in the above embodiment of the present application. For details not disclosed in the embodiment of the device of the present application, please refer to the embodiment of the method for storing data in the driving assistance system in the above embodiment of the present application.

[0158] Figure 8 A block diagram of a data storage device in a driving assistance system according to an embodiment of the present application is shown.

[0159] Reference Figure 8 As shown, a data storage device in a driving assistance system according to an embodiment of the present application includes:

[0160] A collection module 210, used to collect multiple dynamic parameters of the vehicle and define the state of the vehicle according to the multiple dynamic parameters;

[0161] The driving assistance module 220 is used to dynamically traverse the vehicle and locate the driving assistance system in the vehicle when the vehicle is in the driving state;

[0162] The surrounding scene data module 230 is used to collect the surrounding scene data of the vehicle in the driving state according to the driving assistance system;

[0163] The emergency scene data module 240 is used to monitor the emergency state of the vehicle in real time with the assistance of the driving assistance system and collect the corresponding emergency scene data;

[0164] A matching module 250 is used to construct a data combination according to the surrounding scene data and the emergency scene data, and divide the data combination into a plurality of functional data, and partition the plurality of functional data to form a corresponding data area, and match the corresponding data storage space;

[0165] The storage module 260 is used to trigger the classification and storage of data in the multiple data storage spaces according to the priorities of the multiple data storage spaces, and each data storage space is independent of each other.

[0166] Fig. 9A schematic diagram of the structure of a computer system suitable for implementing a driving assistance system according to an embodiment of the present application is shown.

[0167] It should be noted that Fig. 9 The computer system of the driving assistance system shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0168] like Fig. 9 As shown, the computer system includes a central processing unit (CPU) 301, which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM) 302 or the program loaded from the storage part 308 to the random access memory (RAM) 303, such as executing the method described in the above embodiment. In RAM 303, various programs and data required for system operation are also stored. CPU 301, ROM 302 and RAM 303 are connected to each other through bus 304. Input / output (I / O) interface 305 is also connected to bus 304.

[0169] The following components are connected to the I / O interface 305: an input section 306 including a keyboard, a mouse, etc.; an output section 307 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker; a storage section 308 including a hard disk, etc.; and a communication section 309 including a network interface card such as a LAN (Local Area Network) card, a modem, etc. The communication section 309 performs communication processing via a network such as the Internet. A drive 310 is also connected to the I / O interface 305 as needed. A removable medium 311, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 310 as needed so that a computer program read therefrom is installed into the storage section 308 as needed.

[0170] In particular, according to an embodiment of the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present application includes a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a computer program for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication section 309, and / or installed from a removable medium 311. When the computer program is executed by a central processing unit (CPU) 301, various functions defined in the system of the present application are executed.

[0171] It should be noted that the computer-readable medium shown in the embodiment of the present application may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, - but not limited to - an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM), a flash memory, an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present application, a computer-readable storage medium may be any tangible medium containing or storing a program, which may be used by an instruction execution system, device or device or used in combination with it. In the present application, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, wherein a computer-readable computer program is carried. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer-readable signal media may also be any computer-readable medium other than computer-readable storage media, which may send, propagate, or transmit programs for use by or in conjunction with an instruction execution system, apparatus, or device. The computer program contained on the computer-readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wired, etc., or any suitable combination of the above.

[0172] The flowchart and block diagram in the accompanying drawings illustrate the possible architecture, functions and operations of the system, method and computer program product according to various embodiments of the present application. Wherein, each box in the flowchart or block diagram can represent a module, a program segment, or a part of the code, and the above-mentioned module, program segment, or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flowchart, and the combination of boxes in the block diagram or flowchart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0173] The units involved in the embodiments described in this application may be implemented by software or hardware, and the units described may also be set in a processor. The names of these units do not, in some cases, constitute limitations on the units themselves.

[0174] As another aspect, the present application also provides a computer-readable medium, which may be included in the driving assistance system described in the above embodiment; or may exist independently without being assembled into the driving assistance system. The above computer-readable medium carries one or more programs, and when the above one or more programs are executed by a driving assistance system, the driving assistance system implements the method described in the above embodiment.

[0175] It should be noted that, although several modules or units of the equipment for action execution are mentioned in the above detailed description, this division is not mandatory. In fact, according to the embodiments of the present application, the features and functions of two or more modules or units described above can be embodied in one module or unit. On the contrary, the features and functions of one module or unit described above can be further divided into being embodied by multiple modules or units.

[0176] Through the description of the above implementation methods, it is easy for those skilled in the art to understand that the example implementation methods described here can be implemented by software or by combining software with necessary hardware. Therefore, the technical solution according to the implementation methods of the present application can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which can be a personal computer, a server, a touch terminal, or a network device, etc.) to execute the method according to the implementation methods of the present application.

[0177] Those skilled in the art will readily appreciate other embodiments of the present application after considering the specification and practicing the embodiments disclosed herein. The present application is intended to cover any variations, uses or adaptations of the present application, which follow the general principles of the present application and include common knowledge or customary technical means in the art that are not disclosed in the present application.

[0178] It should be understood that the present application is not limited to the precise structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present application is limited only by the appended claims.

Claims

1. A method for storing data in a driving assistance system, characterized in that: Applied to data storage scenarios in driver assistance systems; The method for storing data in the driving assistance system comprises: Collect multiple dynamic parameters of the vehicle and define the state of the vehicle according to the multiple dynamic parameters; When the vehicle is in a driving state, dynamically traverse the vehicle and locate the driving assistance system in the vehicle; The driving assistance system collects surrounding scene data of the vehicle while it is in motion; Real-time monitoring of the emergency status of the vehicle with the assistance of the driving assistance system, and collection of corresponding emergency scenario data; Constructing a data combination according to the surrounding scene data and the emergency scene data, dividing the data combination into a plurality of functional data, partitioning the plurality of functional data to form a corresponding data area, and matching the corresponding data storage space; The multiple data storage spaces are triggered to classify and store data according to the priorities of the multiple data storage spaces, and the various data storage spaces are independent of each other.

2. The method according to claim 1, characterized in that: The collecting of multiple dynamic parameters of the vehicle and defining the state of the vehicle according to the multiple dynamic parameters includes: Collect user information and determine vehicle information based on the screening of user information; Positioning a corresponding vehicle based on vehicle information; Traverse the vehicle and collect multiple dynamic parameters of the vehicle; Freeze multiple dynamic parameters and associate multiple dynamic parameters; The state of the vehicle is defined based on a number of dynamic parameters.

3. The method according to claim 1, characterized in that When the vehicle is in a driving state, dynamically traversing the vehicle and locating the driving assistance system in the vehicle includes: When the vehicle is in a driving state, dynamic monitoring is performed on the vehicle; In the dynamic monitoring of the vehicle, the driving data of the vehicle is collected, and the corresponding driving mode is defined according to the driving data of the vehicle; Match your traversal mode based on driving mode; Dynamically traverse the vehicle along the traversal pattern and the vehicle's travel speed; During the dynamic traversal of the vehicle, the driving assistance system in the vehicle is positioned with respect to the vehicle.

4. The method according to claim 3, characterized in that The collecting of surrounding scene data of the vehicle in a driving state according to the driving assistance system includes: In the driver assistance system, dynamic acquisition is triggered based on the vehicle's driving status; Multiple cameras are arranged around the vehicle to collect surrounding scene data of the vehicle in different directions while the vehicle is in motion; Mark the corresponding direction based on the surrounding scene data, and construct the surrounding environment features in each direction of the vehicle based on the surrounding scene data in multiple directions; The vehicle's environmental scene is defined based on the surrounding environment characteristics in all directions of the vehicle and the vehicle's driving speed.

5. The method according to claim 4, characterized in that The real-time monitoring of the emergency state of the vehicle with the assistance of the driving assistance system and the collection of corresponding emergency scene data include: Monitor the driver assistance system in real time and collect the signals controlled by the driver assistance system; When the vehicle deviates from the preset route, the driving assistance system is triggered to control the vehicle and output an assisted driving signal; Defining an emergency state of the vehicle with the assistance of a driving assistance system based on signal analysis of the auxiliary driving signal; Classify the emergency state of the vehicle under the assistance of the driving assistance system and define the emergency braking state or the emergency steering assistance state; The corresponding emergency scene data is triggered according to the emergency braking state or the emergency steering assist state, and the corresponding emergency scene data is collected.

6. The method according to claim 5, characterized in that The data combination is constructed according to the surrounding scene data and the emergency scene data, and the data combination is divided into a plurality of functional data, and the plurality of functional data are partitioned to form a corresponding data area and matched with a corresponding data storage space, including: Freeze surrounding scene data and emergency scene data; Associating surrounding scene data with emergency scene data and defining association parameters; Constructing data combination according to associated parameters, surrounding scene data and emergency scene data; Divide the data combination into multiple functional data, and match corresponding functional types based on the multiple functional data; Partitioning the data according to the plurality of functional data and the corresponding functional types to form corresponding data areas; Match the corresponding data storage space based on the data area.

7. The method according to claim 6, characterized in that The triggering of the classification and storage of data in the multiple data storage spaces according to the priorities of the multiple data storage spaces, wherein the various data storage spaces are independent of each other, includes: Freeze multiple data storage spaces; Collect the functional coefficients of the driver assistance system; Defining the priority of multiple data storage spaces based on the functional coefficients of the driver assistance system; The multiple data storage spaces are triggered to classify and store data according to the priorities of the multiple data storage spaces; and each data storage space is independent of each other.

8. A data storage device in a driving assistance system, characterized in that: include: A collection module, used for collecting multiple dynamic parameters of the vehicle and defining the state of the vehicle according to the multiple dynamic parameters; A driving assistance module, used for dynamically traversing the vehicle and locating a driving assistance system in the vehicle when the vehicle is in a driving state; The surrounding scene data module is used to collect the surrounding scene data of the vehicle in driving state according to the driving assistance system; Emergency scene data module, used to monitor the emergency state of the vehicle with the assistance of the driving assistance system in real time and collect the corresponding emergency scene data; A matching module, used to construct a data combination according to the surrounding scene data and the emergency scene data, and divide the data combination into multiple functional data, and partition the multiple functional data to form corresponding data areas, and match corresponding data storage spaces; The storage module is used to trigger the classification and storage of data in the multiple data storage spaces according to the priorities of the multiple data storage spaces, and the various data storage spaces are independent of each other.

9. A computer readable medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for storing data in a driving assistance system according to any one of claims 1 to 7 is implemented.

10. A driving assistance system, characterized in that: include: one or more processors; A storage device for storing one or more programs, which, when executed by the one or more processors, enables the one or more processors to implement the data storage method in the driving assistance system as described in any one of claims 1 to 7.

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