CN115497289A

CN115497289A - Vehicle monitoring processing method and device

Info

Publication number: CN115497289A
Application number: CN202211084880.6A
Authority: CN
Inventors: 王振维; 孙毓阳; 孙建蕾; 杨雪珠; 李海霞
Original assignee: FAW Group Corp
Current assignee: FAW Group Corp
Priority date: 2022-09-06
Filing date: 2022-09-06
Publication date: 2022-12-20

Abstract

The invention discloses a vehicle monitoring processing method and device. Wherein, the method comprises the following steps: after the condition that the vehicle triggers a preset monitoring rule is determined, collecting target monitoring data corresponding to the vehicle within a preset time period; determining the total data amount of the target monitoring data; if the total data amount reaches a preset data amount, forwarding target monitoring data to monitoring equipment through cloud equipment, wherein the monitoring equipment is used for determining reasons for triggering preset monitoring rules based on the target monitoring data, and updating corresponding automatic driving parameters under the condition that the reasons are automatic driving parameter design reasons of the vehicle to obtain updated automatic driving parameters; updated autopilot parameters are received from the monitoring device. The invention solves the technical problem of low vehicle driving safety caused by incomplete analysis of abnormal driving reasons in the related technology.

Description

Vehicle monitoring processing method and device

Technical Field

The invention relates to the technical field of automatic driving, in particular to a vehicle monitoring processing method and device.

Background

With the increase of the quantity of automobiles, the problems of gradual congestion of road traffic, more traffic accidents and the like become more serious, and the automatic driving technology is developed. However, with the application of the automatic driving technology, corresponding problems such as insufficient design in the automatic driving design process, sensor performance limitation, personnel misuse, human-machine responsibility division and the like are followed. Therefore, the reason for the abnormal driving of the vehicle is increased, and in the related technology, the analysis of the reason for the abnormal driving is mainly performed by adopting vehicle historical operation data (such as speed, ABS state, safety belt state, acceleration and the like), so that the analysis is relatively comprehensive, the analysis accuracy of the reason for the abnormal driving of the vehicle is low, and certain influence is caused on the safe driving of the vehicle.

In view of the above problems, no effective solution has been proposed.

Disclosure of Invention

The embodiment of the invention provides a vehicle monitoring processing method and device, which are used for at least solving the technical problem of low vehicle driving safety caused by incomplete analysis of abnormal driving reasons in the related technology.

According to an aspect of an embodiment of the present invention, there is provided a vehicle monitoring processing method including: after a vehicle is determined to trigger a preset monitoring rule, collecting target monitoring data corresponding to the vehicle within a preset time period; determining the total data amount of the target monitoring data; if the total data amount reaches a preset data amount, forwarding the target monitoring data to monitoring equipment through cloud equipment, wherein the monitoring equipment is used for determining a reason for triggering the preset monitoring rule based on the target monitoring data, and updating corresponding automatic driving parameters under the condition that the reason is the reason for designing the automatic driving parameters of the vehicle to obtain updated automatic driving parameters; receiving the updated autopilot parameter from the monitoring device.

Optionally, after determining that the vehicle triggers the preset monitoring rule, acquiring target monitoring data corresponding to the vehicle within a preset time period includes: acquiring real-time monitoring data of the vehicle; judging whether the vehicle triggers the preset monitoring rule or not based on the real-time monitoring data; and if the vehicle triggers the preset monitoring rule, acquiring the target monitoring data corresponding to the vehicle within a preset time period.

Optionally, the target monitoring data includes: first monitoring data and second monitoring data, wherein the first monitoring data at least comprises: radar point cloud data and camera shooting monitoring data, wherein the first monitoring data is acquired based on a first controller in the vehicle; the second monitoring data at least includes: triggering event basic information, vehicle running state information, driving operation information, road condition information, automatic driving system operation information, instrument information and environment information corresponding to a preset monitoring rule event, wherein the second monitoring data are acquired based on a second controller in the vehicle.

According to another aspect of the embodiments of the present invention, there is also provided a vehicle monitoring processing method, including: receiving target monitoring data of a vehicle from a cloud device, wherein the target monitoring data are transmitted to the cloud device when the vehicle-end device acquires the target monitoring data within a preset time period after determining that the vehicle triggers a preset monitoring rule and the total data amount of the target monitoring data reaches a preset data amount; determining a reason for triggering the preset monitoring rule based on the target monitoring data; under the condition that the reason is the design reason of the automatic driving parameters of the vehicle, updating the corresponding automatic driving parameters to obtain updated automatic driving parameters; and sending the updated automatic driving parameters to the vehicle-end equipment.

According to another aspect of the embodiments of the present invention, there is also provided a vehicle monitoring processing method, including: after determining that a vehicle triggers a preset monitoring rule, vehicle-end equipment acquires target monitoring data corresponding to the vehicle within a preset time period; determining the total data amount of the target monitoring data; if the total data amount reaches a preset data amount, sending the target monitoring data to cloud equipment; the cloud device forwards the target monitoring data to a monitoring device; the monitoring equipment determines the reason for triggering the preset monitoring rule based on the target monitoring data; under the condition that the reason is the design reason of the automatic driving parameters of the vehicle, updating the corresponding automatic driving parameters to obtain updated automatic driving parameters; and sending the updated automatic driving parameters to the vehicle-end equipment.

Optionally, when the target monitoring data includes first monitoring data and second monitoring data, and the vehicle-end device includes a first controller and a second controller, the vehicle-end device acquires the target monitoring data corresponding to the vehicle within a preset time period after determining that the vehicle triggers a preset monitoring rule; determining the total data amount of the target monitoring data; if the total data amount reaches a preset data amount, the target monitoring data are sent to cloud equipment, and the method comprises the following steps: after determining that the vehicle triggers a preset monitoring rule, the first controller sends a synchronization signal to the second controller; the second controller collects the second monitoring data after receiving the synchronization signal; simultaneously, the first controller collects the first monitoring data and sends the first monitoring data to the second controller, wherein the first monitoring data at least comprises: radar point cloud data and camera shooting monitoring data; the second controller determines the total amount of the first monitoring data and the second monitoring data, and sends the first monitoring data and the second monitoring data to the cloud device if the total amount of the data reaches the predetermined amount of data, wherein the second monitoring data at least includes: triggering event basic information, vehicle running state information, driving operation information, road condition information, automatic driving system operation information, instrument information and environment information corresponding to the preset monitoring rule event.

Optionally, the preset monitoring rule includes at least one of the following rules: the method comprises the steps of presetting a collision rule, a distance rule, a driving rule, a traffic rule, an operation rule and a vehicle abnormity rule.

According to another aspect of the embodiments of the present invention, there is also provided a vehicle monitoring processing system, including: the vehicle-end equipment is used for acquiring target monitoring data corresponding to the vehicle within a preset time period after the vehicle is determined to trigger a preset monitoring rule; judging whether the total data amount of the target monitoring data reaches a preset data amount or not; if the total data amount reaches the preset data amount, the target monitoring data are sent to cloud equipment; the cloud device is connected with the vehicle-end device and is used for forwarding the target monitoring data to the monitoring device; the monitoring device is connected with the vehicle-end device and the cloud-end device, and is used for determining a reason for triggering the preset monitoring rule based on the target monitoring data; under the condition that the reason is the design reason of the automatic driving parameters of the vehicle, updating the corresponding automatic driving parameters to obtain updated automatic driving parameters; and sending the updated automatic driving parameters to the vehicle-end equipment.

Optionally, the target monitoring data includes first monitoring data and second monitoring data, and the vehicle-end device includes: the first controller is used for sending a synchronous signal to the second controller after the vehicle triggers a preset monitoring rule; the second controller is connected to the first controller, and configured to collect the second monitoring data after receiving the synchronization signal, where the second monitoring data at least includes: triggering event basic information, vehicle running state information, driving operation information, road condition information, automatic driving system operation information, instrument information and environment information corresponding to a preset monitoring rule event; the first controller is further configured to collect the first monitoring data and send the first monitoring data to the second controller, where the first monitoring data at least includes: radar point cloud data and camera shooting monitoring data; the second controller is further configured to determine whether a total amount of the first monitoring data and the second monitoring data reaches a predetermined amount of data, and send the first monitoring data and the second monitoring data to the cloud device if the total amount of the data reaches the predetermined amount of data.

According to another aspect of the embodiments of the present invention, there is also provided a vehicle monitoring processing apparatus, including: the system comprises a first acquisition module, a second acquisition module and a monitoring module, wherein the first acquisition module is used for acquiring target monitoring data corresponding to a vehicle within a preset time period after the vehicle is determined to trigger a preset monitoring rule; the first determining module is used for determining the total data amount of the target monitoring data; the first forwarding module is used for forwarding the target monitoring data to monitoring equipment through cloud equipment if the total data amount reaches a preset data amount, wherein the monitoring equipment is used for determining the reason for triggering the preset monitoring rule based on the target monitoring data, and updating corresponding automatic driving parameters under the condition that the reason is the reason for designing the automatic driving parameters of the vehicle to obtain updated automatic driving parameters; a first receiving module, configured to receive the updated autopilot parameter from the monitoring device.

In the embodiment of the invention, after the preset monitoring rule is determined to be triggered by the vehicle, the target monitoring data corresponding to the vehicle in a preset time period is collected; determining the total data amount of the target monitoring data; if the total data amount reaches a preset data amount, forwarding the target monitoring data to monitoring equipment through cloud equipment, wherein the monitoring equipment is used for determining a reason for triggering the preset monitoring rule based on the target monitoring data, and updating corresponding automatic driving parameters under the condition that the reason is the design reason of the automatic driving parameters of the vehicle to obtain updated automatic driving parameters; the updated automatic driving parameters from the monitoring equipment are received, the mode that a vehicle, a cloud end and a monitoring platform are combined is achieved, the vehicle triggers and presets monitoring rules and then collects monitoring data, the reason that the vehicle does not normally run is analyzed according to monitoring results, and corresponding countermeasures are taken.

Drawings

The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:

FIG. 1 is a flow chart of a vehicle monitoring processing method according to an embodiment of the invention;

FIG. 2 is a schematic diagram of a vehicle monitoring system according to an embodiment of the present invention;

FIG. 3 is a schematic diagram of an alternative vehicle monitoring processing system according to an embodiment of the present invention;

fig. 4 is a schematic structural diagram of a vehicle monitoring processing device according to an embodiment of the invention.

Detailed Description

In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Moreover, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

At present, a comprehensive safety monitoring platform with an automatic driving expected function is not available for monitoring the problems of insufficient design, sensor limitation, personnel misuse and the like in the automatic driving design process. With the improvement of the automatic driving grade, the automatic driving system occupies a leading position more and more, and once the automatic driving system has problems, serious consequences can be caused, and the personal life safety of drivers and other traffic participants can be endangered. Therefore, the business department intelligent network automobile access management stipulates that: enterprises should have the capability of monitoring operation safety and the like, and unreasonable risks caused by the shortage of expected functions are avoided for vehicles; GB/T Specification of road vehicle expected function safety: a run safety monitoring procedure should be defined and implemented to discover unknown functional deficiencies and triggering conditions, changes in environmental conditions, etc. For higher level autopilot functions, additional monitoring means may be necessary.

Additional monitoring of vehicles in the related art is mainly based on the automotive event recording system (EDR): the key operation data (including speed, ABS state, safety belt state, acceleration and the like) of the automobile in three stages of before-collision, during-collision and after-collision of the automobile are recorded through the EDR. In other words, the EDR is the most authentic "black box" in the automotive industry. The EDR alias includes a tachograph (non-tachograph), a data store, and a car event data recording system. After the automobile is started, the EDR reads and records the state data of each device in real time through the CAN bus, responds and records the collision state within 20ms of the collision of the automobile, and records the states of 10 seconds before the collision and 5.3 seconds after the collision. The EDR adopted in the current industry only records data before, during and after a vehicle collision, and cannot analyze and record events which do not collide but have harmful behaviors during automatic driving and record incomplete collected data. For example, the system does not contain radar point cloud data and video data, so that comprehensive reduction and deep analysis of dangerous behavior events cannot be achieved, analysis of unsafe driving of the vehicle is incomplete, and further certain influence is caused on safe driving of the vehicle.

In accordance with an embodiment of the present invention, there is provided a method embodiment of a vehicle monitoring process, it being noted that the steps illustrated in the flowchart of the figure may be performed in a computer system, such as a set of computer-executable instructions, and that while a logical order is illustrated in the flowchart, in some cases the steps illustrated or described may be performed in an order different than presented herein.

Fig. 1 is a flowchart of a vehicle monitoring processing method according to an embodiment of the present invention, as shown in fig. 1, the method including the steps of:

step S102, after a preset monitoring rule is determined to be triggered by a vehicle, collecting target monitoring data corresponding to the vehicle within a preset time period;

step S104, determining the total data amount of the target monitoring data;

step S106, if the total data amount reaches a preset data amount, forwarding the target monitoring data to monitoring equipment through cloud equipment, wherein the monitoring equipment is used for determining a reason for triggering the preset monitoring rule based on the target monitoring data, and updating corresponding automatic driving parameters under the condition that the reason is the design reason of the automatic driving parameters of the vehicle to obtain updated automatic driving parameters;

step S108, receiving the updated automatic driving parameters from the monitoring device.

Through the steps, the mode that the vehicle, the cloud end and the monitoring platform are combined can be realized, the vehicle triggers and collects monitoring data after presetting the monitoring rules, the reason that the vehicle normally runs is analyzed according to the monitoring result, and the corresponding countermeasure is taken, so that the accuracy of analysis of the reason that the vehicle abnormally runs is improved, the technical effect of the safety of the vehicle driving is improved, and the technical problem that the safety of the vehicle driving is low due to incomplete analysis of the reason that the vehicle normally runs in the related technology is solved.

Optionally, the executing subject of the steps S102 to S108 is a vehicle-end device in the vehicle, and is configured to obtain monitoring data during the vehicle running process.

Optionally, the vehicle-end device may include, but is not limited to, a first controller and a first controller, and the target monitoring data may include, but is not limited to, first monitoring data and second monitoring data. And performing data point-burying software development on the first controller and the second controller, wherein the first controller is used for collecting the first monitoring data, and the second controller is used for collecting the second monitoring data. The first monitoring data may be, but not limited to, unstructured data, such as radar point cloud data, camera monitoring data, and the like; the second monitoring data may be, but not limited to, structured data, such as event basic information corresponding to an event triggering a preset monitoring rule, vehicle driving state information, driving operation information, road condition information, automatic driving system operation information, meter information, and environment information, and the like.

Optionally, the preset monitoring rule may be, but is not limited to, embedded in the first controller, and when the real-time monitoring data result of the vehicle indicates that the preset monitoring rule in the first controller is triggered, target monitoring data corresponding to the vehicle within a preset time period is collected. The preset time period may include, but is not limited to, a first preset continuous time period before triggering a preset monitoring rule, and a second preset continuous time period before triggering the preset monitoring rule, for example, the preset time period is determined to be 15 seconds before and 5 seconds after triggering the preset monitoring rule; the corresponding target monitoring data is the data of the whole 20-second process 15 seconds before and 5 seconds after the preset monitoring rule is triggered.

Optionally, the number of the preset monitoring rules may be one or more. The preset monitoring rule comprises at least one of the following rules: the method comprises the steps of presetting a collision rule, a distance rule, a driving rule, a traffic rule, an operation rule and a vehicle abnormity rule.

Optionally, the preset collision rule is used to indicate that the vehicle collides with another vehicle, or a potential collision risk exists; the preset collision rule is used for indicating that the distance between the vehicle and other vehicles is smaller than a preset safety distance; the preset running rule is used for indicating that the running parameter value (such as acceleration, deceleration, lateral deviation and the like) of the vehicle is smaller than a preset safety parameter value; the preset traffic rule is used for indicating that the vehicle violates the preset traffic rule (such as higher vehicle speed, lane change with solid line, no lighting for lane change and the like); the preset operation rule is used for indicating that a driver in the vehicle violates a preset safe operation rule (such as unexpected door opening during automatic driving, driver leaving seat and the like); the preset vehicle abnormity rule is used for indicating that the vehicle has system faults or system abnormity.

It should be noted that, due to the vehicle bandwidth and the traffic cost, the data of the buried point (i.e. the target monitoring data) cannot be uploaded at any time, and only the data meeting the preset monitoring rules are collected and uploaded, where the preset monitoring rules mainly include the following categories: the preset collision rule of the collision class, the preset distance rule of the safety distance class, the preset driving rule of the safety behavior class, the preset traffic rule of the traffic rule class, the preset operation rule of the human misuse class and the preset vehicle abnormity rule of the vehicle abnormity class. The safety behavior is the behavior of danger such as over-high vehicle speed, lane change realization and the like during automatic driving, the human misuse behavior is the behavior of danger such as sleeping, abnormal operation and the like during automatic driving, and the abnormal behavior is the behavior of danger such as sensor abnormity, DTC (Diagnostic Trouble Code) reported by an execution mechanism and the like during automatic driving. The specific rules and descriptions are shown in table 1.

TABLE 1

Optionally, in a case that the vehicle-end device includes a first controller and a first controller, the determining a total data amount of the target monitoring data includes: after determining that the vehicle triggers a preset monitoring rule, the first controller sends a synchronization signal to the second controller; the second controller collects the second monitoring data after receiving the synchronization signal; and meanwhile, the first controller collects the first monitoring data, sends the first monitoring data to the second controller, and obtains the target monitoring data based on the first monitoring data and the second monitoring data.

In the embodiment of the invention, the target monitoring data is acquired after the automatic driving system of the vehicle triggers the preset monitoring rule when running, the acquired target monitoring data is uploaded to the cloud after the acquired target monitoring data reaches the preset capacity, the monitoring equipment acquires the monitoring data from the cloud, analyzes the reason for triggering the preset monitoring rule, and updates the automatic driving parameters of the vehicle according to the reason.

In an optional embodiment, after it is determined that the vehicle triggers the preset monitoring rule, acquiring target monitoring data corresponding to the vehicle within a preset time period includes:

acquiring real-time monitoring data of the vehicle;

judging whether the vehicle triggers the preset monitoring rule or not based on the real-time monitoring data;

and if the vehicle triggers the preset monitoring rule, acquiring the target monitoring data corresponding to the vehicle within a preset time period.

Optionally, the preset monitoring rule may be, but is not limited to, embedded in the first controller, and the automatic driving system determines whether the vehicle triggers the preset monitoring rule or not based on the real-time monitoring data during operation. And after the preset monitoring rule is determined to be triggered, starting to acquire the target monitoring data corresponding to the vehicle within a preset time period.

In an optional embodiment, the target monitoring data includes: first monitoring data and second monitoring data, wherein,

the first monitoring data at least includes: radar point cloud data and camera shooting monitoring data, wherein the first monitoring data is acquired based on a first controller in the vehicle;

the second monitoring data at least includes: triggering event basic information, vehicle running state information, driving operation information, road condition information, automatic driving system operation information, instrument information and environment information corresponding to a preset monitoring rule event, wherein the second monitoring data are acquired based on a second controller in the vehicle.

Optionally, the first monitoring data may be unstructured data acquired by a first controller embedded point of the vehicle-end device, and include radar point cloud data and camera monitoring data. The radar data may be, but is not limited to, raw point cloud data of a laser radar, raw point cloud data of a millimeter wave radar, and raw point cloud data of an ultrasonic radar, and specific corresponding data parameters may include, but are not limited to, XYZ coordinates and echo times, intensity information, ranging, and the like; the camera monitoring data may include, but is not limited to, forward-looking camera data, backward-looking camera data, around-looking camera data, side-looking camera data, and driver monitoring video data, and the specific corresponding data parameters may include, but are not limited to, information such as lane identification, static objects, and dynamic objects.

It should be noted that, the radar data is combined with the camera monitoring data to accurately restore the recorded event site, so that the method is used for visually analyzing the whole process of the recorded event and has important significance. Data for the entire 20 second process of the first 15 seconds and the last 5 seconds of the radar and camera meeting the preset trigger rule events can be collected, but is not limited to. And compressing the unstructured data and uploading the compressed unstructured data to a cloud data lake.

Optionally, the second monitoring data may be structured data acquired by a second controller embedded point of the vehicle-end device, event basic information, vehicle driving state information, driving operation information, road condition information, automatic driving system operation information, instrument information, and environment information. The event basic information is used for recording basic information when an event meeting a trigger rule occurs, and the basic information includes time information, position information, vehicle Identification Number (VIN) and other contents, and is used for determining the occurrence time, the occurrence location and the like of the event. The vehicle running state information is used to record the vehicle speed, wheel speed, gear position, etc., of the vehicle, i.e., vehicle dynamics and state information, and basic information of the vehicle can be recorded for analysis when the basic information is used to determine the occurrence of an event. The driving operation information is used for recording information of a driver operating a brake, an accelerator, turning on an automatic driving function switch and the like, and is used for determining the operation condition and fatigue condition of the driver, whether the driver is asleep or misoperation and the like when an event occurs. The road condition information is used for being understood as perception related information, and mainly records the result of sensor fusion when the triggering rule event occurs, such as the distance between the sensor and a front vehicle, the distance between the sensor and a side vehicle, the length and width of a target object and other information, and the content of the group of information can be compared with unstructured data to verify the correctness of a perception fusion algorithm. The automatic driving system operation information is used for recording information such as turning angles, acceleration and the like requested by the automatic system when an event meeting a trigger rule occurs, and is combined with other data to evaluate the correctness of a planning decision algorithm. The system comprises meter information and Human Machine Interface (HMI) information used for recording text, image and sound information of the meter which is required to take over, and Diagnostic Trouble Code (DTC) related alarm information. The environmental information is used for recording information such as illumination, rainfall, environmental temperature and the like. The specific data type classification and the corresponding signal content are shown in table 2.

TABLE 2

According to an embodiment of the present invention, there is also provided a flow chart of another vehicle monitoring processing method, including the steps of:

step S112, receiving target monitoring data of a vehicle from a cloud device, where the target monitoring data is acquired by a vehicle-end device within a preset time period after determining that the vehicle triggers a preset monitoring rule, and is transmitted to the cloud device when a total data amount of the target monitoring data reaches a preset data amount;

step S114, determining the reason for triggering the preset monitoring rule based on the target monitoring data;

step S116, under the condition that the reason is the design reason of the automatic driving parameters of the vehicle, updating the corresponding automatic driving parameters to obtain the updated automatic driving parameters;

and step S118, sending the updated automatic driving parameters to the vehicle-end device.

Optionally, the execution main body of the steps S112 to S118 is a monitoring device.

Optionally, the monitoring device retrieves target monitoring data from the data lake, performs playback analysis on video, radar and related bus signal data, and deeply restores and analyzes the reason of the occurrence of the event. If it is the reason for the sensor limitation, the supplier may be contacted to provide a solution. If the problem is the automatic driving design insufficiency (such as the problem related to the automatic driving parameters), the design scheme is changed, and the changed design problem (namely the automatic driving parameters) is optimized and iterated to the whole vehicle through an Over-the-Air Technology (OTA), so that the problem is avoided from happening again.

step S122, after determining that a vehicle triggers a preset monitoring rule, the vehicle-end equipment collects target monitoring data corresponding to the vehicle within a preset time period; determining the total data amount of the target monitoring data; if the total data amount reaches a preset data amount, sending the target monitoring data to cloud equipment;

step S124, the cloud device forwards the target monitoring data to a monitoring device;

step S126, the monitoring device determines a reason for triggering the preset monitoring rule based on the target monitoring data; under the condition that the reason is the design reason of the automatic driving parameters of the vehicle, updating the corresponding automatic driving parameters to obtain updated automatic driving parameters; and sending the updated automatic driving parameters to the vehicle-end equipment.

Optionally, the executing subjects of the steps S122 to S126 are vehicle-end devices and cloud-end devices.

It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present invention is not limited by the order of acts, as some steps may occur in other orders or concurrently in accordance with the invention. Further, those skilled in the art will appreciate that the embodiments described in this specification are presently preferred and that no acts or modules are required by the invention.

Through the above description of the embodiments, those skilled in the art can clearly understand that the method according to the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but the former is a better implementation mode in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (such as a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.

According to an embodiment of the present invention, there is also provided a system embodiment for implementing the vehicle monitoring processing method, and fig. 2 is a schematic structural diagram of a vehicle monitoring processing system according to an embodiment of the present invention, as shown in fig. 2, the vehicle monitoring processing system includes: vehicle end equipment 200, cloud end equipment 202, supervisory equipment 204, wherein:

the vehicle-end device 200 is configured to, after determining that the vehicle triggers a preset monitoring rule, acquire target monitoring data corresponding to the vehicle within a preset time period; judging whether the total data amount of the target monitoring data reaches a preset data amount or not; if the total data amount reaches the preset data amount, the target monitoring data are sent to cloud equipment;

the cloud device 202 is connected to the vehicle-end device, and configured to forward the target monitoring data to a monitoring device;

the monitoring device 204 is connected to the vehicle-side device and the cloud-side device, and configured to determine a reason for triggering the preset monitoring rule based on the target monitoring data; under the condition that the reason is the design reason of the automatic driving parameters of the vehicle, updating the corresponding automatic driving parameters to obtain updated automatic driving parameters; and sending the updated automatic driving parameters to the vehicle-end equipment.

In the embodiment of the present invention, the vehicle-end device 200 is configured to collect target monitoring data corresponding to the vehicle within a preset time period after determining that the vehicle triggers a preset monitoring rule; judging whether the total data amount of the target monitoring data reaches a preset data amount or not; if the total data amount reaches the preset data amount, the target monitoring data are sent to cloud equipment; the cloud device 202 is connected to the vehicle-end device, and configured to forward the target monitoring data to a monitoring device; the monitoring device 204 is connected to the vehicle-side device and the cloud-side device, and configured to determine a reason for triggering the preset monitoring rule based on the target monitoring data; under the condition that the reason is the design reason of the automatic driving parameters of the vehicle, updating the corresponding automatic driving parameters to obtain updated automatic driving parameters; the automatic driving parameter after updating is sent to the vehicle-end equipment, the mode that adopts the vehicle, the high in the clouds, monitor platform combines has been reached, the vehicle triggers and gathers monitoring data after predetermineeing the monitoring rule, according to the reason of the unusual traffic of monitoring result analysis vehicle, and take the purpose of corresponding counter-measure, thereby realized promoting the accuracy of the unusual traffic reason analysis of vehicle, promote the technical effect of vehicle driving safety, and then solved among the correlation technique because it is not comprehensive to the unusual traffic reason analysis, the technical problem that the vehicle driving safety that causes is low.

Based on the foregoing embodiment and optional embodiments, the present invention provides an optional implementation manner, and fig. 3 is a schematic structural diagram of an optional vehicle monitoring processing system according to an embodiment of the present invention, and as shown in fig. 3, the system may be understood as a security monitoring platform, specifically including a vehicle-end device, a cloud device, and a monitoring platform. Wherein, for the car end equipment: data point software development is respectively carried out on two controllers A and B (wherein, the controller A corresponds to a first controller, and the controller B corresponds to a second controller), the controller A collects unstructured data (namely first monitoring data, including data such as images, audios, videos and point clouds), and the controller B collects structured data (namely second monitoring data, including bus signals of the whole vehicle, planning decision data and the like). Meanwhile, a preset monitoring rule is integrated in the controller A, when the automatic driving system operates and triggers the preset monitoring rule, the controller A sends a synchronizing signal to the controller B, the controller A and the controller B respectively start to collect data at the same time, and after the data are collected, the controller A compresses and packs the unstructured data and sends the data to the controller B. In consideration of the large difference between the structured data and the unstructured data, the embedded software development is performed in two controllers. For the cloud device: the B controller uploads target monitoring data with a predetermined capacity to the cloud data lake through the TSP (Telematics Service Provider) (the link uploaded to the cloud by the controller is defined by itself according to specific items, which is only given as an example and does not represent an actual link). The data uploaded by the controller B is not uploaded in real time, but is uploaded to the cloud after reaching the preset capacity. For a monitoring platform: developing a monitoring platform interface, calling target monitoring data from a data lake, performing playback analysis on video, radar and related bus signal data, and deeply restoring and analyzing the reason of the occurrence of the event. If it is the reason for the sensor limitation, the supplier may be contacted to provide a solution. If the problem is the automatic driving design insufficiency (such as the problem related to the automatic driving parameters), the design scheme is changed, and the changed design problem (namely the automatic driving parameters) is optimized and iterated to the whole vehicle through Over-the-Air Technology (OTA), so that the problem is avoided to occur again.

It should be noted that the embedded point requirement and the preset monitoring rule provided by the embodiment of the present invention are used for creating an automatic driving anticipation function safety monitoring platform; the method is characterized in that various aspects such as environment, perception, decision control and the like in the automatic driving operation process are comprehensively considered, a buried point requirement is provided, the content is complete, and the content recorded by an automatic driving data recorder or an event data recorder is more complete; monitoring rules are provided from multiple angles and multiple aspects such as safety behaviors, personnel misuse, traffic rules and the like for monitoring the dangerous behaviors of automatic driving in the running process, and the monitoring rules are more specific and comprehensive, so that the method is favorable for accurately analyzing the reasons of abnormal driving of the vehicle and improving the driving safety of the vehicle.

It should be noted that the specific structures of the vehicle monitoring processing system shown in fig. 2 to 3 in the present application are only schematic, and in a specific application, the vehicle monitoring processing system in the present application may have more or less structures than the vehicle-end device 200, the cloud-end device 202, and the monitoring device 204 shown in fig. 2 to 3.

It should be noted that any optional or preferred vehicle monitoring processing method in the foregoing embodiments may be implemented or realized in the vehicle monitoring processing system provided in this embodiment.

In addition, it should be noted that, for optional or preferred embodiments of this embodiment, reference may be made to the relevant description in the foregoing method embodiments, and details are not described herein again.

In this embodiment, a vehicle monitoring processing device is further provided, and the device is used to implement the foregoing embodiments and preferred embodiments, and the description of the device is omitted for brevity. As used hereinafter, the terms "module" and "apparatus" may refer to a combination of software and/or hardware that implements a predetermined function. Although the means described in the embodiments below are preferably implemented in software, an implementation in hardware or a combination of software and hardware is also possible and contemplated.

According to an embodiment of the present invention, there is further provided an embodiment of an apparatus for implementing the vehicle monitoring processing method, and fig. 4 is a schematic structural diagram of a vehicle monitoring processing apparatus according to an embodiment of the present invention, as shown in fig. 4, the vehicle monitoring processing apparatus includes: a first acquisition module 400, a first determination module 402, a first forwarding module 404, a first receiving module 406, wherein:

the first collecting module 400 is configured to collect target monitoring data corresponding to the vehicle within a preset time period after determining that the vehicle triggers a preset monitoring rule;

the first determining module 402 is connected to the first acquiring module 400, and configured to determine a total amount of the target monitoring data;

the first forwarding module 404 is connected to the first determining module 402, and configured to forward the target monitoring data to a monitoring device through a cloud device if the total data amount reaches a predetermined data amount, where the monitoring device is configured to determine a reason for triggering the preset monitoring rule based on the target monitoring data, and update a corresponding auto-driving parameter to obtain an updated auto-driving parameter under the condition that the reason is a design reason of the auto-driving parameter of the vehicle;

the first receiving module 406 is connected to the first forwarding module 404, and is configured to receive the updated autopilot parameter from the monitoring device.

In the embodiment of the present invention, the first collecting module 400 is configured to collect target monitoring data corresponding to the vehicle within a preset time period after determining that the vehicle triggers a preset monitoring rule; the first determining module 402 is connected to the first acquiring module 400, and configured to determine a total amount of the target monitoring data; the first forwarding module 404 is connected to the first determining module 402, and configured to forward the target monitoring data to a monitoring device through a cloud device if the total data amount reaches a predetermined data amount, where the monitoring device is configured to determine a reason for triggering the preset monitoring rule based on the target monitoring data, and update a corresponding auto-driving parameter to obtain an updated auto-driving parameter under the condition that the reason is a design reason of the auto-driving parameter of the vehicle; the first receiving module 406 is connected to the first forwarding module 404, and is configured to receive the updated automatic driving parameters from the monitoring device, which achieves a mode of combining a vehicle, a cloud end and a monitoring platform, the vehicle triggers a preset monitoring rule and then acquires monitoring data, the reason of abnormal driving of the vehicle is analyzed according to the monitoring result, and a corresponding countermeasure is taken, so that the accuracy of analysis of the reason of abnormal driving of the vehicle is improved, the technical effect of safety of driving of the vehicle is improved, and further the technical problem of low safety of driving of the vehicle caused by incomplete analysis of the reason of abnormal driving in the related art is solved.

According to an embodiment of the present invention, there is provided another apparatus embodiment for implementing the vehicle monitoring processing method, where the vehicle monitoring processing apparatus includes: the second receiving module is used for receiving target monitoring data of the vehicle from the cloud device, wherein the target monitoring data are acquired within a preset time period after the vehicle-end device determines that the vehicle triggers a preset monitoring rule, and the target monitoring data are transmitted to the cloud device when the total data amount of the target monitoring data reaches a preset data amount; the second determining module is used for determining the reason for triggering the preset monitoring rule based on the target monitoring data; the first updating module is used for updating the corresponding automatic driving parameters under the condition that the reason is the design reason of the automatic driving parameters of the vehicle to obtain the updated automatic driving parameters; and the first sending module is used for sending the updated automatic driving parameters to the vehicle-end equipment.

According to an embodiment of the present invention, there is provided another apparatus embodiment for implementing the vehicle monitoring processing method, where the vehicle monitoring processing apparatus includes: the second sending module is used for acquiring target monitoring data corresponding to the vehicle within a preset time period after the vehicle-end equipment determines that the vehicle triggers a preset monitoring rule; determining the total data amount of the target monitoring data; if the total data amount reaches a preset data amount, sending the target monitoring data to cloud equipment; the second forwarding module is used for the cloud device to forward the target monitoring data to the monitoring device; a third sending module, configured to determine, by the monitoring device, a reason for triggering the preset monitoring rule based on the target monitoring data; under the condition that the reason is the design reason of the automatic driving parameters of the vehicle, updating the corresponding automatic driving parameters to obtain updated automatic driving parameters; and sending the updated automatic driving parameters to the vehicle-end equipment.

It should be noted that the above modules may be implemented by software or hardware, for example, for the latter, the following may be implemented: the modules can be located in the same processor; alternatively, the modules may be located in different processors in any combination.

It should be noted here that the first acquiring module 400, the first determining module 402, the first forwarding module 404, and the first receiving module 406 correspond to steps S102 to S108 in the embodiment, and the modules are the same as the corresponding steps in the implementation example and application scenarios, but are not limited to the disclosure in the embodiment. It should be noted that the modules described above may be executed in a computer terminal as part of an apparatus.

It should be noted that, for optional or preferred embodiments of the present embodiment, reference may be made to the relevant description in the embodiment, and details are not described herein again.

The vehicle monitoring processing device may further include a processor and a memory, where the first collecting module 400, the first determining module 402, the first forwarding module 404, the first receiving module 406, and the like are stored in the memory as program modules, and the processor executes the program modules stored in the memory to implement corresponding functions.

The processor comprises a kernel, and the kernel calls corresponding program modules from the memory, wherein one or more than one kernel can be arranged. The memory may include volatile memory in a computer readable medium, random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM), including at least one memory chip.

According to an embodiment of the present application, there is also provided an embodiment of a non-volatile storage medium. Optionally, in this embodiment, the non-volatile storage medium includes a stored program, and when the program runs, the device in which the non-volatile storage medium is located is controlled to execute any one of the vehicle monitoring processing methods.

Optionally, in this embodiment, the nonvolatile storage medium may be located in any one of a group of computer terminals in a computer network, or in any one of a group of mobile terminals, and the nonvolatile storage medium includes a stored program.

Optionally, the apparatus in which the non-volatile storage medium is controlled to perform the following functions when the program is executed: after a preset monitoring rule is determined to be triggered by a vehicle, acquiring target monitoring data corresponding to the vehicle within a preset time period; determining the total data amount of the target monitoring data; if the total data amount reaches a preset data amount, forwarding the target monitoring data to monitoring equipment through cloud equipment, wherein the monitoring equipment is used for determining a reason for triggering the preset monitoring rule based on the target monitoring data, and updating corresponding automatic driving parameters under the condition that the reason is the design reason of the automatic driving parameters of the vehicle to obtain updated automatic driving parameters; receiving the updated autopilot parameter from the monitoring device.

According to an embodiment of the present application, there is also provided an embodiment of a processor. Optionally, in this embodiment, the processor is configured to run a program, where when the program runs, the processor executes any one of the vehicle monitoring processing methods.

There is also provided, in accordance with an embodiment of the present application, an embodiment of a computer program product, which, when executed on a data processing device, is adapted to execute a program which initializes steps of a vehicle monitoring processing method of any of the above.

Optionally, the computer program product described above, when being executed on a data processing device, is adapted to perform a procedure for initializing the following method steps: after a vehicle is determined to trigger a preset monitoring rule, collecting target monitoring data corresponding to the vehicle within a preset time period; determining the total data amount of the target monitoring data; if the total data amount reaches a preset data amount, forwarding the target monitoring data to monitoring equipment through cloud equipment, wherein the monitoring equipment is used for determining a reason for triggering the preset monitoring rule based on the target monitoring data, and updating corresponding automatic driving parameters under the condition that the reason is the reason for designing the automatic driving parameters of the vehicle to obtain updated automatic driving parameters; receiving the updated autopilot parameter from the monitoring device.

An embodiment of the present invention provides an electronic device, where the electronic device 10 includes a processor, a memory, and a program stored in the memory and capable of running on the processor, and when the processor executes the program, the following steps are implemented: after a preset monitoring rule is determined to be triggered by a vehicle, acquiring target monitoring data corresponding to the vehicle within a preset time period; determining the total data amount of the target monitoring data; if the total data amount reaches a preset data amount, forwarding the target monitoring data to monitoring equipment through cloud equipment, wherein the monitoring equipment is used for determining a reason for triggering the preset monitoring rule based on the target monitoring data, and updating corresponding automatic driving parameters under the condition that the reason is the reason for designing the automatic driving parameters of the vehicle to obtain updated automatic driving parameters; receiving the updated autopilot parameter from the monitoring device.

The above-mentioned serial numbers of the embodiments of the present invention are only for description, and do not represent the advantages and disadvantages of the embodiments.

In the above embodiments of the present invention, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.

In the embodiments provided in the present application, it should be understood that the disclosed technical content can be implemented in other manners. The above-described embodiments of the apparatus are merely illustrative, and for example, the above-described modules may be divided into one logical function, and may be implemented in another way, for example, a plurality of modules or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be through some interfaces, modules or indirect coupling or communication connection of modules, and may be in an electrical or other form.

The modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical modules, may be located in one position, or may be distributed on a plurality of modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, functional modules in the embodiments of the present invention may be integrated into one processing module, or each of the modules may exist alone physically, or two or more modules are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode.

The integrated module, if implemented in the form of a software functional module and sold or used as a separate product, may be stored in a computer-readable non-volatile storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a non-volatile storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned nonvolatile storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.

The foregoing is only a preferred embodiment of the present invention, and it should be noted that it is obvious to those skilled in the art that various modifications and improvements can be made without departing from the principle of the present invention, and these modifications and improvements should also be considered as the protection scope of the present invention.

Claims

1. A vehicle monitoring processing method, comprising:

after a vehicle is determined to trigger a preset monitoring rule, collecting target monitoring data corresponding to the vehicle within a preset time period;

determining the total data amount of the target monitoring data;

if the total data amount reaches a preset data amount, forwarding the target monitoring data to monitoring equipment through cloud equipment, wherein the monitoring equipment is used for determining a reason for triggering the preset monitoring rule based on the target monitoring data, and updating corresponding automatic driving parameters under the condition that the reason is the design reason of the automatic driving parameters of the vehicle to obtain updated automatic driving parameters;

receiving the updated autopilot parameter from the monitoring device.

2. The method according to claim 1, wherein the collecting target monitoring data corresponding to the vehicle within a preset time period after determining that the vehicle triggers a preset monitoring rule comprises:

acquiring real-time monitoring data of the vehicle;

3. The method of claim 1, wherein the target monitoring data comprises: first monitored data and second monitored data, wherein,

the first monitoring data includes at least: radar point cloud data and camera monitoring data, wherein the first monitoring data is acquired based on a first controller in the vehicle;

the second monitoring data includes at least: triggering event basic information, vehicle running state information, driving operation information, road condition information, automatic driving system operation information, instrument information and environment information corresponding to a preset monitoring rule event, wherein the second monitoring data are acquired based on a second controller in the vehicle.

4. A vehicle monitoring processing method, comprising:

receiving target monitoring data of a vehicle from a cloud device, wherein the target monitoring data are acquired within a preset time period by a vehicle-end device after the vehicle is determined to trigger a preset monitoring rule, and are transmitted to the cloud device when the total data amount of the target monitoring data reaches a preset data amount;

determining a reason for triggering the preset monitoring rule based on the target monitoring data;

under the condition that the reason is the automatic driving parameter design reason of the vehicle, updating corresponding automatic driving parameters to obtain updated automatic driving parameters;

and sending the updated automatic driving parameters to the vehicle-end equipment.

5. A vehicle monitoring processing method, comprising:

after determining that a vehicle triggers a preset monitoring rule, vehicle-end equipment acquires target monitoring data corresponding to the vehicle within a preset time period; determining the total data amount of the target monitoring data; if the total data amount reaches a preset data amount, the target monitoring data are sent to cloud equipment;

the cloud device forwards the target monitoring data to a monitoring device;

the monitoring equipment determines the reason for triggering the preset monitoring rule based on the target monitoring data; under the condition that the reason is the reason for designing the automatic driving parameters of the vehicle, updating the corresponding automatic driving parameters to obtain updated automatic driving parameters; and sending the updated automatic driving parameters to the vehicle-end equipment.

6. The method according to claim 5, wherein when the target monitoring data comprises first monitoring data and second monitoring data, and the vehicle-end device comprises a first controller and a second controller, the vehicle-end device collects the target monitoring data corresponding to the vehicle within a preset time period after determining that the vehicle triggers a preset monitoring rule; determining the total data amount of the target monitoring data; if the total data amount reaches a preset data amount, the target monitoring data are sent to cloud equipment, and the method comprises the following steps:

after determining that the vehicle triggers a preset monitoring rule, the first controller sends a synchronization signal to the second controller;

the second controller collects the second monitoring data after receiving the synchronous signal; simultaneously the first controller gathers the first monitoring data, and will first monitoring data send to the second controller, wherein, first monitoring data includes at least: radar point cloud data and camera shooting monitoring data;

the second controller determines the total data amount of the first monitoring data and the second monitoring data, and sends the first monitoring data and the second monitoring data to the cloud device if the total data amount reaches the predetermined data amount, wherein the second monitoring data at least comprises: triggering event basic information, vehicle running state information, driving operation information, road condition information, automatic driving system operation information, instrument information and environment information corresponding to the preset monitoring rule event.

7. The method according to any one of claims 1 to 6, wherein the preset monitoring rules comprise at least one of: the method comprises the steps of presetting a collision rule, a distance rule, a driving rule, a traffic rule, an operation rule and a vehicle abnormity rule.

8. A vehicle monitoring processing system, comprising:

the vehicle-end equipment is used for acquiring target monitoring data corresponding to the vehicle within a preset time period after the vehicle triggers a preset monitoring rule; judging whether the total data amount of the target monitoring data reaches a preset data amount or not; if the total data amount reaches the preset data amount, the target monitoring data are sent to cloud equipment;

the cloud device is connected with the vehicle-end device and used for forwarding the target monitoring data to the monitoring device;

the monitoring equipment is connected with the vehicle-end equipment and the cloud-end equipment and is used for determining the reason for triggering the preset monitoring rule based on the target monitoring data; under the condition that the reason is the automatic driving parameter design reason of the vehicle, updating corresponding automatic driving parameters to obtain updated automatic driving parameters; and sending the updated automatic driving parameters to the vehicle-end equipment.

9. The system of claim 8, wherein the target monitoring data comprises first monitoring data and second monitoring data, the end-of-vehicle device comprising:

the first controller is used for sending a synchronous signal to the second controller after the vehicle is determined to trigger a preset monitoring rule;

the second controller is connected to the first controller, and is configured to acquire the second monitoring data after receiving the synchronization signal, where the second monitoring data at least includes: triggering event basic information, vehicle running state information, driving operation information, road condition information, automatic driving system operation information, instrument information and environment information corresponding to a preset monitoring rule event;

the first controller is further configured to collect the first monitoring data and send the first monitoring data to the second controller, where the first monitoring data at least includes: radar point cloud data and camera shooting monitoring data;

the second controller is further configured to determine whether a total data amount of the first monitoring data and the second monitoring data reaches a predetermined data amount, and if the total data amount reaches the predetermined data amount, send the first monitoring data and the second monitoring data to the cloud device.

10. A vehicle monitoring processing apparatus, characterized by comprising:

the system comprises a first acquisition module, a second acquisition module and a monitoring module, wherein the first acquisition module is used for acquiring target monitoring data corresponding to a vehicle within a preset time period after the vehicle is determined to trigger a preset monitoring rule;

the first determination module is used for determining the total data amount of the target monitoring data;

the first forwarding module is used for forwarding the target monitoring data to monitoring equipment through cloud equipment if the total data amount reaches a preset data amount, wherein the monitoring equipment is used for determining the reason for triggering the preset monitoring rule based on the target monitoring data, and updating the corresponding automatic driving parameters under the condition that the reason is the reason for designing the automatic driving parameters of the vehicle to obtain the updated automatic driving parameters;

a first receiving module to receive the updated autopilot parameter from the monitoring device.