CN115946720A

CN115946720A - Unmanned vehicle driving control method and device, electronic equipment and storage medium

Info

Publication number: CN115946720A
Application number: CN202310118072.5A
Authority: CN
Inventors: 郑见福
Original assignee: Mgjia Beijing Technology Co ltd
Current assignee: Mgjia Beijing Technology Co ltd
Priority date: 2023-02-01
Filing date: 2023-02-01
Publication date: 2023-04-11

Abstract

The invention provides an unmanned vehicle running control method, an unmanned vehicle running control device, electronic equipment and a storage medium, wherein the unmanned vehicle running control method comprises the following steps: acquiring current speed and position information of a target vehicle; determining a target identification area based on the current vehicle speed and the position information; extracting first position information corresponding to a plurality of first vehicles in a target identification area; and when the distance difference value between the first position information and the position information of the target vehicle is smaller than a preset distance threshold value, carrying out early warning prompt on the target vehicle. The target identification area is determined according to the current speed and the position information of the target vehicle, the first position information of a plurality of first vehicles in the target identification area is extracted, data integration is carried out on the vehicle condition information in the target identification area in time, and when the distance difference value between the first position information and the position information of the target vehicle is smaller than a preset distance threshold value, early warning prompt is carried out on the target vehicle, so that the occurrence of traffic accidents is greatly reduced, and the driving safety is improved.

Description

Unmanned vehicle driving control method and device, electronic equipment and storage medium

Technical Field

The invention relates to the field of automobile control, in particular to a method and a device for controlling driving of an unmanned vehicle, electronic equipment and a storage medium.

Background

With the development of automobile technology, unmanned vehicles gradually enter the field of vision of people. The development of the unmanned vehicle technology makes the long-distance driving journey not difficult any more, and the driving difficulty of a driver is greatly reduced by controlling the vehicle to run through a built-in automatic driving program. However, in the existing unmanned vehicle driving process, sometimes, a vehicle damage and death event can occur even under severe conditions, because the road condition information is not timely acquired, data integration can not be timely performed according to the road condition information, and early warning information can not be sent out in advance.

Disclosure of Invention

Therefore, the technical problem to be solved by the present invention is to overcome the defect that the prior art cannot integrate data in time according to the road condition information and send out early warning information in advance, and has potential driving risks, so as to provide a method and a device for controlling the driving of an unmanned vehicle, an electronic device and a storage medium.

According to a first aspect, an embodiment of the present invention provides an unmanned vehicle driving control method, including:

acquiring current speed and position information of a target vehicle;

determining a target identification area based on the current vehicle speed and the position information;

extracting first position information corresponding to a plurality of first vehicles in the target identification area;

and when the distance difference value between the first position information and the position information of the target vehicle is smaller than a preset distance threshold value, carrying out early warning prompt on the target vehicle.

Optionally, before determining the target recognition area based on the current vehicle speed and the position information, the method further comprises:

determining whether the target vehicle enters an unmanned road segment based on the position information;

when the target vehicle enters the unmanned road section, vehicle information query is carried out on the target vehicle on the basis of a preset database;

when the vehicle information of the target vehicle is inquired, the step of determining a target identification area based on the current vehicle speed and the position information is executed;

and when the vehicle information of the target vehicle is not inquired, extracting the vehicle characteristics of the target vehicle, generating temporary vehicle information based on the extracted vehicle characteristics, and uploading the temporary vehicle information to a delivery management system.

Optionally, when the vehicle information of the target vehicle is not queried, the method further comprises:

and monitoring the target vehicle based on the temporary vehicle information.

Optionally, the position information and the first position information both include transverse position information and longitudinal position information, and when a distance difference between the first position information and the position information of the target vehicle is smaller than a preset distance threshold, performing an early warning prompt on the target vehicle includes:

when a first distance difference value between the transverse position information of the target vehicle and the transverse position information in the first position information is smaller than a first preset distance threshold value, determining that the target vehicle has a potential driving risk;

when a second distance difference value between the longitudinal position information of the target vehicle and the longitudinal position information in the first position information is smaller than a second preset distance threshold value, determining that the target vehicle has a potential driving risk;

and carrying out early warning prompt on the target vehicle based on the potential driving risk and the first distance difference and the second distance difference.

Optionally, the performing an early warning prompt on the target vehicle based on the potential driving risk and the first distance difference and the second distance difference includes:

determining a potential driving risk level based on the first distance difference, the second distance difference, and the current vehicle speed of the target vehicle;

and adjusting an early warning prompt grade based on the potential driving risk grade, and carrying out early warning prompt on the target vehicle.

Optionally, the method further comprises:

and controlling the target vehicle to start an emergency mechanism based on the early warning prompt.

Optionally, when the warning prompt is performed on the target vehicle, the method further includes:

and simultaneously sending early warning prompts to a plurality of first vehicles in the target identification area.

According to a second aspect, an embodiment of the present invention provides an unmanned vehicle travel control apparatus, the apparatus including:

the acquisition module is used for acquiring the current speed and position information of the target vehicle;

the first processing module is used for determining a target identification area based on the current vehicle speed and the position information;

the second processing module is used for extracting first position information corresponding to a plurality of first vehicles in the target identification area;

and the early warning module is used for carrying out early warning prompt on the target vehicle when the distance difference value between the first position information and the position information of the target vehicle is smaller than a preset distance threshold value.

According to a third aspect, embodiments of the present invention provide an electronic device, comprising:

a memory and a processor, the memory and the processor being communicatively coupled to each other, the memory having stored therein computer instructions, and the processor performing the method of the first aspect, or any one of the optional embodiments of the first aspect, by executing the computer instructions.

According to a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, which stores computer instructions for causing a computer to execute the method of the first aspect, or any one of the optional implementation manners of the first aspect.

The technical scheme of the invention has the following advantages:

according to the unmanned vehicle driving control method, the unmanned vehicle driving control device, the electronic equipment and the storage medium, the current speed and the current position information of the target vehicle are obtained; determining a target identification area based on the current vehicle speed and the position information; extracting first position information corresponding to a plurality of first vehicles in the target identification area; and when the distance difference value between the first position information and the position information of the target vehicle is smaller than a preset distance threshold value, carrying out early warning prompt on the target vehicle. The target identification area is determined according to the current speed and the position information of the target vehicle, the first position information of a plurality of first vehicles in the target identification area is extracted, the vehicle condition information in the target identification area is subjected to data integration in time, when the distance difference value between the first position information and the position information of the target vehicle is smaller than a preset distance threshold value, the potential driving risk is indicated, the target vehicle is subjected to early warning prompt, the occurrence of traffic accidents is greatly reduced, and the driving safety is improved.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.

Fig. 1 is a flowchart of an unmanned vehicle running control method according to an embodiment of the present invention;

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

fig. 3 is a control flow diagram of the unmanned vehicle driving control method according to the embodiment of the present invention;

fig. 4 is a schematic structural view of an unmanned vehicle running control apparatus according to an embodiment of the present invention;

fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.

Detailed Description

The technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings, and it should be understood that the described embodiments are some, but not all embodiments of the present invention. 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.

In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.

In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; the two elements may be directly connected or indirectly connected through an intermediate medium, or may be communicated with each other inside the two elements, or may be wirelessly connected or wired connected. The specific meanings of the above terms in the present invention can be understood in a specific case to those of ordinary skill in the art.

In addition, the technical features involved in the different embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.

The embodiment of the invention provides an unmanned vehicle running control method, which specifically comprises the following steps of:

step S101: and acquiring the current speed and position information of the target vehicle.

Specifically, in practical applications, the current speed and position information of the target vehicle can be obtained by a road camera recognition system, an automatic vehicle body recognition system, a relevant map APP system, and the like.

Step S102: and determining a target identification area based on the current vehicle speed and the position information.

Specifically, in practical application, in order to effectively early warn dangerous conditions possibly met by a target vehicle in advance, the embodiment of the invention defines a target identification area possibly with potential driving risks according to the current speed and position information of the target vehicle, and lays a foundation for sending early warning prompts to related vehicles in advance. Further, in consideration of the positive correlation between the vehicle speed and the potential driving risk, the target identification area defined by the embodiment of the invention has the same correlation with the vehicle speed of the target vehicle, and when the target vehicle speed is higher, the target identification area is expanded in adaptability, so that the target identification area with the potential risk is effectively divided.

Step S103: and extracting first position information corresponding to a plurality of first vehicles in the target identification area.

Specifically, in practical application, after the target identification area is determined, the embodiment of the invention extracts the position information of all vehicles in the target identification area, and prepares data for subsequently judging whether potential driving risks exist according to the distance difference between each vehicle and the target vehicle.

Further, when the position information of a plurality of first vehicles is obtained, the position information of the first vehicles can be obtained at the same time, the information such as the vehicle speed and the license plate corresponding to each vehicle can be obtained, and the vehicle information can be obtained through a road camera recognition system, an automatic vehicle body recognition system, a map APP system and the like.

Step S104: and when the distance difference value between the first position information and the position information of the target vehicle is smaller than a preset distance threshold value, carrying out early warning prompt on the target vehicle.

Specifically, in practical application, when the distance difference is smaller than the preset distance threshold, the embodiment of the present invention performs an early warning prompt on the target vehicle, where the specific early warning prompt content may include vehicle speed information, position information, and vehicle characteristic information (such as license plate, vehicle type, etc.) of the first vehicle.

Specifically, in practical applications, in consideration of the positive correlation between the vehicle speed and the driving risk, the preset distance threshold according to the embodiment of the invention may be set in segments according to the vehicle speed, the segment design rule is that the faster the vehicle speed is, the larger the preset distance threshold is, and for example, when the vehicle speed of the target vehicle is higher than 80km/h, the preset distance threshold may be set to 200m.

Specifically, in practical application, the early warning prompting contents include the existence of transverse/longitudinal vehicles, the existence of obstacles, whether the vehicles overspeed, whether the speed of rainy and snowy weather is limited, whether the running route is in compliance and the like.

By executing the steps, according to the unmanned vehicle driving control method provided by the embodiment of the invention, the target identification area is determined according to the current speed and the position information of the target vehicle, the first position information of a plurality of first vehicles in the target identification area is extracted, the data integration is carried out on the vehicle condition information in the target identification area in time, when the distance difference value between the first position information and the position information of the target vehicle is smaller than the preset distance threshold value, the potential driving risk is indicated, the target vehicle is subjected to early warning prompt, the occurrence of traffic accidents is greatly reduced, and the driving safety is improved.

Specifically, in an embodiment, before executing the step S102 to determine the target identification area based on the current vehicle speed and the position information, the method further includes the following steps:

step S201: and judging whether the target vehicle enters an unmanned road section or not based on the position information.

Step S202: and when the target vehicle enters the unmanned road section, vehicle information query is carried out on the target vehicle based on a preset database.

Specifically, in practical application, the target vehicle is not always in an unmanned state, and therefore, the present invention embodiment judges the current driving road section of the target vehicle, and when the target vehicle is in the unmanned road section, the target vehicle starts the unmanned mode, and meanwhile, the present invention embodiment queries the vehicle information of the target vehicle based on the preset database.

Specifically, in practical application, the preset database may be composed of a database in a traffic management system, a map APP and a road image acquisition system (i.e., a road camera recognition system), wherein characteristic information of a target vehicle, such as a license plate, a vehicle type, a vehicle body color and the like, may be acquired through the traffic management system; the driving information of the target vehicle, such as vehicle speed information and position information, can be acquired through the road camera recognition system and the map APP. The vehicle information of the target vehicle is comprehensively inquired and determined, so that the follow-up early warning judgment and timely early warning prompt sending are guaranteed.

Further, in order to ensure timeliness of driving data, the embodiment of the invention can also obtain the current time at the same time, and secondary calibration confirmation is carried out on the current driving state of the target vehicle and GPS positioning by obtaining the standard national time.

Step S203: when the vehicle information of the target vehicle is inquired, the step S102 of determining the target identification area based on the current vehicle speed and the position information is executed.

Step S204: and when the vehicle information of the target vehicle is not inquired, extracting the vehicle characteristics of the target vehicle, generating temporary vehicle information based on the extracted vehicle characteristics, and uploading the temporary vehicle information to a delivery management system.

Specifically, in practical applications, when vehicle information of a target vehicle is queried, the embodiment of the invention determines a target identification area according to the current vehicle speed and position information; when the vehicle information of the target vehicle is not inquired, the embodiment of the invention can automatically generate the driving information and the coordinate information based on the target vehicle, inform the relevant traffic management department of processing the vehicle in time, and simultaneously, automatically prompt a driver to start GPS positioning and submit the vehicle information. By automatically generating the driving information, the driving state of the road can be safely managed conveniently, and the driving safety of the unmanned vehicle is ensured.

Specifically, in an embodiment, when the vehicle information of the target vehicle is not queried in the step S204, the method specifically includes the following steps:

step S301: and monitoring the target vehicle based on the temporary vehicle information.

Specifically, in practical applications, the temporary vehicle information includes vehicle characteristic information, travel information, and the like.

Specifically, in an embodiment, in the step S104, when the distance difference between the first location information and the location information of the target vehicle is smaller than a preset distance threshold, performing an early warning prompt on the target vehicle, specifically including the following steps:

step S401: and when the first distance difference value between the transverse position information of the target vehicle and the transverse position information in the first position information is smaller than a first preset distance threshold value, determining that the target vehicle has a potential driving risk.

Step S402: and when a second distance difference value between the longitudinal position information of the target vehicle and the longitudinal position information in the first position information is smaller than a second preset distance threshold value, determining that the target vehicle has a potential driving risk.

Step S403: and carrying out early warning prompt on the target vehicle based on the potential driving risk and the first distance difference and the second distance difference.

In particular, in practical applications, in consideration of unmanned safety, the embodiment of the invention will simultaneously acquire and analyze the vehicle condition conditions around the target vehicle. The above-mentioned position information and the first position information each include lateral position information and longitudinal position information.

Specifically, in practical applications, the lateral direction is understood as the left and right of the vehicle, and the longitudinal direction is understood as the front and rear of the vehicle. Carrying out double judgment on the distance difference value according to cameras on two sides (and/or front and back sides) of a vehicle body of the target vehicle and the radar, wherein the cameras can calculate the vehicle distance according to the obtained picture by an algorithm; the radar can obtain relative distance information through an algorithm. And calculating a first distance difference and a second distance difference to obtain the vehicle condition information of the whole body of the target vehicle, and judging that the target vehicle has a potential driving risk when the first distance difference is smaller than a first preset distance threshold and/or the second distance difference is smaller than a second preset distance threshold. It should be noted that the first preset distance threshold and the second preset distance threshold can be comprehensively set according to the current vehicle speed, the position information and the vehicle type, so that sufficient response time is reserved for starting related emergency measures of the target vehicle.

Furthermore, the radars arranged on the target vehicle in the embodiment of the invention are of the same type, so that the accuracy of the distance measuring and calculating algorithm is greatly improved. In order to ensure the accuracy of the distance data, the position information acquired through the camera and the radar is determined as the first data, the position information of the target vehicle is acquired through the map APP subsequently and is determined as the second data, and the first data and the second data are optimized to finally obtain the distance information between the target vehicle and the vehicle around the body.

Specifically, in an embodiment, the step S403 specifically includes the following steps:

step S501: determining a potential driving risk level based on the first distance difference, the second distance difference, and the current vehicle speed of the target vehicle.

Step S502: and adjusting an early warning prompt grade based on the potential driving risk grade, and carrying out early warning prompt on the target vehicle.

Specifically, in practical applications, when the first distance difference is smaller than a first preset distance threshold and/or the second distance difference is smaller than a second preset distance threshold, considering the vehicle speed and the time required by the vehicle emergency response, the embodiment of the invention further determines the potential driving risk level according to the vehicle speed information of the target vehicle. When the speed of the target vehicle is too fast and the distance between the target vehicle and the surrounding vehicle is small, for example, the speed of the target vehicle is 80km/h, and the first distance difference value is 100m (smaller than the first preset distance threshold), the potential risk level of the target vehicle is determined to be one level, collision or even rollover danger may occur, and at this time, the early warning prompt level is adjusted, so that early warning prompt is timely performed on the target vehicle.

Specifically, the early warning prompt can be adjusted by adjusting the early warning color so as to facilitate the viewing of the driver, and illustratively, when the situation is not critical, a green early warning mode can be adopted to prompt the driver to observe the road condition; when the condition is critical, a red early warning mode can be adopted to prompt a driver to take measures in advance, and the driver is prompted through different color adjustments, so that the driver can know the risk condition quickly, the reaction time of the driver is effectively prolonged, and the driving safety is greatly improved.

The actual situation is not limited to the above, the type and the number of the color setting can be determined according to the actual situation, and further, when the situation is critical, a proper amount of early warning prompt tone can be added to remind the driver.

Specifically, in an embodiment, after the step S502 is executed, the method specifically includes the following steps:

step S601: and controlling the target vehicle to start an emergency mechanism based on the early warning prompt.

Specifically, in practical application, after the early warning prompt, the embodiment of the invention adopts a corresponding emergency mechanism according to the early warning information, so as to ensure the driving safety of the target vehicle. Illustratively, emergency mechanisms such as slowing down, braking, lane changing, etc.

Specifically, in an embodiment, when the step S502 is executed, the method further includes the following steps:

step S701: and simultaneously sending early warning prompts to a plurality of first vehicles in the target identification area.

Specifically, in practical application, after the target vehicle receives the early warning prompt, the embodiment of the invention can also send the early warning prompt to each vehicle in the target identification area, thereby prompting the driver to adjust the driving state as soon as possible according to the early warning information.

Specifically, as shown in fig. 2, an automated driving system may be correspondingly designed based on the method for controlling the driving of the unmanned vehicle provided by the embodiment of the present invention, so as to perform unified control on the unmanned vehicle, thereby greatly improving the processing efficiency. The automatic driving system comprises a road camera recognition system, an automobile body automatic recognition system and a map APP determination system, all the systems are matched with each other, and the specific work flow is as follows by combining the following steps shown in figure 3:

(1) An automated driving system:

and summarizing data information from a road camera recognition system, an automatic vehicle body recognition system, a map app judgment system and the like, and processing the data information. The distance between two vehicles (including the transverse direction and the longitudinal direction) is processed and warned in a key way, so that collision is prevented.

(2) Road camera identification system:

the road camera acquires information of a running vehicle, including license plate, speed, time and the like, and uploads the acquired information to the automatic driving system as positioning standby. The task of this system is to confirm whether a vehicle driving on the road is entered into the automated driving system, with special handling if not. Preventing the driver from driving without license and registration.

(3) Automatic vehicle body identification system:

the vehicle body adopts a camera and radar recognition mode, judges vehicle information and the like around the running vehicle, and uploads the vehicle information to the automatic driving system. The system is used for acquiring the state of the whole vehicle body, preventing collision and being provided with a sound alarm system, and when the distance between vehicles exceeds a preset distance threshold value, a prompt tone is started to prompt a driver to pay attention to the vehicle in time. The camera and radar identification function required by the system requires a distance identification function and needs to be capable of giving real-time distance data.

(4) Map APP decision system:

all models of different vehicle enterprises need to be registered in the APP, so that the GPS positioning information can be uploaded to the automatic driving system conveniently through GPS positioning vehicle information and the like. The system is used for acquiring the surrounding state of the vehicle and preventing collision. In order to ensure the pre-judgment timeliness of the early warning prompt, the map APP judgment system provided by the embodiment of the invention needs higher precision than that of a common map APP, and can be subjected to encryption management through unified management.

Specifically, in practical application, all vehicle types of different vehicle enterprises are concentrated in one main system, and the vehicle is subjected to driving risk early warning in the driving process of an unmanned vehicle. In consideration of data confidentiality and safety, the unmanned vehicle driving control method and the designed automatic driving system provided by the embodiment of the invention can be promoted by the upper layer of the country, a unified platform is established, and camera monitoring on a road and the like are established. Through vehicle to cross-vehicle enterprise travel, the location information integration, for the security protection driving protection navigation that unmanned car traveled, realize unified management to unmanned car through the automated driving system that corresponds, not only have wide application nature, still can combine the traffic control department to carry out relevant business association, have higher information expansibility.

The unmanned vehicle driving control method provided by the embodiment of the invention will be described in detail with reference to specific application examples.

Referring to fig. 1-3, when the unmanned vehicle enters the unmanned road segment, the automated driving system is turned on and the locomotive is started to get on the road. At the moment, the road camera recognition system scans information such as license plates and the like to recognize that the locomotive is on the road, the map APP positioning system recognizes that the locomotive is on the road through the vehicle body GPS positioner, the locomotive is on the road when the two are confirmed at the same time, at the moment, if the road camera recognition system cannot detect the license plate information, the red prompt of the automatic driving system automatically generates a temporary locomotive information to be reported to the traffic management system, and the traffic management system sends people for inquiry. In the driving process, the automatic vehicle body recognition system can acquire vehicle information around the vehicle in real time and upload the vehicle information to the automatic driving system as information A; the map APP positioning system acquires locomotive information to be uploaded to the automatic driving system through the GPS positioning system to serve as information B; the road camera recognition system can acquire vehicle information at a specific place and upload the vehicle information, and the information can be used for locomotive positioning calibration as information C. And the automatic driving system carries out internal algorithm processing according to the obtained information A, B and C, and judges whether the vehicle exists in the transverse direction and the longitudinal direction of the vehicle body, whether the running route of the locomotive is in compliance or not and the like. When the fact that the distance between other nearby locomotives and the locomotive (the locomotive driven by the locomotive) is too short is detected according to the information B, the situation of the locomotives around the locomotive can be checked again according to the information A, and early warning is carried out when the fact that the distance between the locomotives is too short is confirmed (the early warning can adopt A + B mode information processing), wherein the early warning is divided into green early warning (the problem is small) and red early warning (the problem is large). The locomotive can execute corresponding emergency mechanism measures according to the early warning to protect the running safety of the vehicle (or the early warning measures can be preset according to the driving habits of drivers). Once early warning occurs, the early warning is automatically recorded and reported to an automatic driving system, and the system automatically marks position points to remind other locomotives of avoiding risks.

It should be noted that the locomotive positioning can be performed by the GPS itself, and the road camera system acquires the information C to upload the positioning calibration of the automatic driving system (the positioning calibration employs B + C mode data processing), and the calibration is performed continuously during the driving process, thereby preventing the GSP positioning deviation.

When the potential driving risk exists, the specific process is as follows:

(1) Vehicle-to-vehicle collision risk early warning: through automobile body automatic identification system, obtain a set of data of traveling, rethread map APP positioning system obtains another set of data of traveling, and two sets of data are unified to be passback total automated driving system, as long as have a set of data to have the collision risk, carry out danger early warning immediately.

(2) Collision risk early warning of the vehicle and the obstacle: the map APP positioning system can acquire the state of a road in real time, update the information of a driving lane and the like, and early warning is carried out according to the feedback information of the automatic vehicle body identification system.

The traditional method for automatically driving and controlling the overweight locomotive to acquire information by a camera and a radar and then judge is mostly limited by influences of vehicle types, road conditions, climates and the like, is also limited by inconsistency of vehicle-mounted maps and has the problem of insufficient positioning precision. According to the embodiment of the invention, the unified management and control automatic driving system is used for processing and then early warning in the information pool, all vehicles (any license plate and any vehicle type) need to be positioned and managed according to unified configuration, the problem of cross-platform signal interference is greatly solved, all data are classified and processed together and then fed back to each vehicle. Each vehicle has a special APP to inquire the running state of the surrounding vehicles in real time, and the running safety of the vehicles is guaranteed to the maximum extent.

Furthermore, the system can be promoted by the upper layer of the country, so that higher GPS permission accuracy is realized, related data only needs to be encrypted and managed, and the user side only needs to keep the early warning function.

An embodiment of the present invention provides an unmanned vehicle driving control device, as shown in fig. 4, the unmanned vehicle driving control device includes:

the obtaining module 101 is configured to obtain current vehicle speed and position information of a target vehicle. For details, refer to the related description of step S101 in the above method embodiment, and no further description is provided here.

And the first processing module 102 is used for determining a target identification area based on the current vehicle speed and the position information. For details, refer to the related description of step S102 in the above method embodiment, and details are not repeated herein.

The second processing module 103 is configured to extract first position information corresponding to a plurality of first vehicles in the target identification area. For details, refer to the related description of step S103 in the above method embodiment, and no further description is provided here.

The early warning module 104 is configured to perform early warning prompt on the target vehicle when a distance difference between the first location information and the location information of the target vehicle is smaller than a preset distance threshold. For details, refer to the related description of step S104 in the above method embodiment, and no further description is provided here.

For further description of the above unmanned vehicle driving control device, reference is made to the above description of the embodiment of the unmanned vehicle driving control method, and details are not repeated herein.

Through the cooperative cooperation of the above components, the unmanned vehicle driving control device provided by the embodiment of the invention determines the target identification area according to the current speed and the position information of the target vehicle, extracts the first position information of the first vehicles in the target identification area, and performs data integration on the vehicle condition information in the target identification area in time, and when the distance difference between the first position information and the position information of the target vehicle is smaller than the preset distance threshold, the potential driving risk is indicated, and the target vehicle is subjected to early warning prompt, so that the occurrence of traffic accidents is greatly reduced, and the driving safety is improved.

An embodiment of the present invention provides an electronic device, as shown in fig. 5, the electronic device includes a processor 901 and a memory 902, where the memory 902 and the processor 901 are communicatively connected to each other, where the processor 901 and the memory 902 may be connected by a bus or in another manner, and fig. 5 takes the example of connection by a bus as an example.

Processor 901 may be a Central Processing Unit (CPU). The Processor 901 may also be other general purpose processors, digital Signal Processors (DSPs), application Specific Integrated Circuits (ASICs), field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components, or combinations thereof.

The memory 902, which is a non-transitory computer readable storage medium, may be used for storing non-transitory software programs, non-transitory computer executable programs, and modules, such as program instructions/modules corresponding to the methods of the embodiments of the present invention. The processor 901 executes various functional applications and data processing of the processor 901 by executing non-transitory software programs, instructions and modules stored in the memory 902, that is, implements the methods in the above-described method embodiments.

The memory 902 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created by the processor 901, and the like. Further, the memory 902 may include high speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, the memory 902 may optionally include memory located remotely from the processor 901, which may be connected to the processor 901 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.

One or more modules are stored in the memory 902, which when executed by the processor 901 performs the methods in the above-described method embodiments.

The specific details of the electronic device may be understood by referring to the corresponding related descriptions and effects in the above method embodiments, and are not described herein again.

It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, and the implemented program can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic Disk, an optical Disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a Flash Memory (Flash Memory), a Hard Disk (Hard Disk Drive, abbreviated as HDD), a Solid State Drive (SSD), or the like; the storage medium may also comprise a combination of memories of the kind described above.

It should be understood that the above examples are only for clarity of illustration and are not intended to limit the embodiments. Other variations and modifications will be apparent to persons skilled in the art in light of the above description. This need not be, nor should it be exhaustive of all embodiments. And obvious variations or modifications derived therefrom are intended to be within the scope of the invention.

Claims

1. An unmanned vehicle running control method is characterized by comprising the following steps:

acquiring current speed and position information of a target vehicle;

2. The method of claim 1, wherein prior to determining a target identification area based on the current vehicle speed and location information, the method further comprises:

3. The method of claim 2, wherein when the vehicle information of the target vehicle is not queried, the method further comprises:

and monitoring the target vehicle based on the temporary vehicle information.

4. The method according to claim 1, wherein the position information and the first position information each include transverse position information and longitudinal position information, and when a distance difference between the first position information and the position information of the target vehicle is smaller than a preset distance threshold, performing warning prompt on the target vehicle includes:

5. The method of claim 4, wherein the early warning of the target vehicle based on the potential driving risk and the first and second distance differences comprises:

determining a potential driving risk level based on the first distance difference, the second distance difference, and a current vehicle speed of the target vehicle;

6. The method of claim 5, further comprising:

7. The method of claim 6, wherein upon alert prompting to the target vehicle, the method further comprises:

8. An unmanned vehicle running control device characterized by comprising:

9. An electronic device, comprising:

a memory and a processor communicatively coupled to each other, the memory having stored therein computer instructions, the processor executing the computer instructions to perform the method of any of claims 1-7.

10. A computer-readable storage medium having stored thereon computer instructions for causing a computer to perform the method of any one of claims 1-7.