CN111582730A - Unmanned vehicle remote take-over control method, device and system and storage medium - Google Patents
Unmanned vehicle remote take-over control method, device and system and storage medium Download PDFInfo
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Abstract
The invention discloses a method, a device and a system for remotely controlling take-over of an unmanned vehicle and a storage medium. The method comprises the following steps: determining the current distribution task of the target vehicle under the condition that the remote takeover control function of the target vehicle is in a starting mode; determining a corresponding allocation mechanism according to the task type of the current allocation task; and taking over and remotely controlling the current distribution task of the target vehicle according to the distribution mechanism. According to the embodiment of the invention, the corresponding distribution mechanism is determined according to the task type of the current distribution task of the target vehicle, and the current distribution task of the target vehicle is taken over and remotely controlled according to the distribution mechanism, so that the automatic taking over and remote control of the unmanned vehicle are realized, and the safety and reliability of the unmanned vehicle in the automatic driving and unmanned driving processes are further ensured.
Description
Technical Field
The embodiment of the invention relates to an unmanned vehicle technology, in particular to a method, a device and a system for remotely taking over control of an unmanned vehicle and a storage medium.
Background
The best developed automated driving technique, *** unmanned vehicle Waymo, is forced to intervene manually once every 5596 miles (9006km) driven, while the average level of human drivers is that a common accident occurs every 16.5 ten thousand miles, and a fatal accident occurs every 9000 ten thousand miles. Because the machine intelligence does not reach the degree of being comparable to that of human beings, and is limited by factors such as sensor detection precision and cost, the existing automatic driving does not have the driving capability of all road sections and all scenes. The contact is established with the unmanned vehicle by means of the 5G communication technology, and the operation of the unmanned vehicle through the remote driving simulator becomes an effective way for accelerating the high-order automatic driving technology to quickly land. Therefore, how to remotely take over control of the unmanned vehicle is an urgent problem to be solved.
Disclosure of Invention
In view of this, the invention provides a method, a device, a system and a storage medium for remote takeover control of an unmanned vehicle, which realizes remote takeover control of the unmanned vehicle.
In one embodiment, an embodiment of the present invention provides a method for remotely controlling take-over of an unmanned aerial vehicle, including:
determining the current distribution task of the target vehicle under the condition that the remote takeover control function of the target vehicle is in a starting mode;
determining a corresponding allocation mechanism according to the task type of the current allocation task;
and taking over and remotely controlling the current distribution task of the target vehicle according to the distribution mechanism.
In an embodiment, an embodiment of the present invention further provides a remote takeover control device for an unmanned aerial vehicle, including:
the system comprises a first determination module, a second determination module and a third determination module, wherein the first determination module is used for determining the current distribution task of the target vehicle under the condition that the remote takeover control function of the target vehicle is in a starting mode;
the second determining module is used for determining a corresponding distribution mechanism according to the task type of the current distribution task;
and the control module is used for taking over and remotely controlling the current distribution task of the target vehicle according to the distribution mechanism.
In an embodiment, an embodiment of the present invention further provides an apparatus, including: a memory, and one or more processors;
a memory for storing one or more programs;
when the one or more programs are executed by the one or more processors, the one or more processors are caused to implement the drone vehicle remote takeover control method of the first aspect.
In an embodiment, a computer-readable storage medium has stored thereon a computer program which, when executed by a processor, implements the drone vehicle remote takeover control method according to the first aspect.
The current distribution task of the target vehicle is determined under the condition that the remote takeover control function of the target vehicle is in a starting mode; determining a corresponding allocation mechanism according to the task type of the current allocation task; and taking over and remotely controlling the current distribution task of the target vehicle according to the distribution mechanism. According to the embodiment of the invention, the corresponding distribution mechanism is determined according to the task type of the current distribution task of the target vehicle, and the current distribution task of the target vehicle is taken over and remotely controlled according to the distribution mechanism, so that automatic taking over and remote control of the unmanned vehicle are realized.
Drawings
Fig. 1 is a flowchart of a remote takeover control method for an unmanned aerial vehicle according to an embodiment of the present invention;
fig. 2 is a flowchart of another unmanned vehicle remote takeover control method according to an embodiment of the present invention;
FIG. 3 is a schematic diagram illustrating interaction between a remote takeover control system of an unmanned vehicle and a remote operator according to an embodiment of the present invention;
FIG. 4 is a schematic display diagram of a human-computer interaction platform according to an embodiment of the present invention;
FIG. 5 is a schematic display diagram of another human-computer interaction platform provided in the embodiment of the present invention;
fig. 6 is a block diagram of a structure of an unmanned vehicle remote take-over control device according to an embodiment of the present invention;
fig. 7 is a schematic hardware structure diagram of an unmanned vehicle remote take-over control system according to an embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Fig. 1 is a flowchart of an unmanned vehicle remote takeover control method according to an embodiment of the present invention, where the present embodiment is applicable to a case where an unmanned vehicle performs automatic takeover and remote control, and the method may be executed by an unmanned vehicle remote takeover control device, where the method may be implemented by hardware and/or software, and may be generally integrated in an unmanned vehicle remote takeover control system.
As shown in fig. 1, the method specifically includes the following steps:
and S110, determining the current distributed task of the target vehicle under the condition that the remote takeover control function of the target vehicle is in a starting mode.
In an embodiment, the target vehicle may be an unmanned vehicle, i.e. a vehicle for which no one is operating on the vehicle. The target vehicle may be an electric vehicle or an oil vehicle, but is not limited thereto. Preferably, in the embodiment of the present invention, the target vehicle is an electric car, that is, a vehicle that can be started up only when charging is performed.
In the embodiment, the remote take-over control function refers to a function in which an operator can remotely perform operation control of the vehicle indoors. The operator can be a driver, namely a real driver, to carry out operation control on the vehicle indoors, and does not need to go to the field (namely the position of the vehicle) for operation control. The current allocation task may be a timing allocation task or a random allocation task. It is understood that the task is assigned at regular time, which refers to the task assigned to the target vehicle at regular time; and randomly distributing the tasks refers to the tasks randomly distributed to the target vehicles. In an actual operation process, after the remote takeover control function of the target vehicle is started, the current distributed task of the target vehicle is determined, so that the current distributed task is taken over and the target vehicle is remotely controlled, and the target vehicle executes the current distributed task.
And S120, determining a corresponding allocation mechanism according to the task type of the current allocation task.
In the embodiment, according to the dimension of task allocation time, the current allocation task can be divided into a timing allocation task and a random allocation task; according to the dimension of task processing difficulty, the current allocation task can be divided into a daily task and a fault task. It can be understood that the fault task is a randomly assigned task, that is, when it is detected that a certain vehicle has a fault and needs to perform remote takeover control, the unmanned vehicle remote takeover control system detects a currently online driver and assigns the fault task to one of the currently online drivers. The allocation mechanism of the fault task may include: firstly, randomly distributing the fault task to one of the current online drivers according to a random distribution mode; secondly, the fault task can be distributed to one of the current online drivers according to the current task processing amount of the current online driver, for example, if the current online drivers are respectively a, B and C, and the current task processing amounts of a, B and C are respectively 3, 4 and 5, the fault task can be distributed to the driver a, so that the task of each driver can be distributed in a balanced manner; for another example, on the basis of the current task throughput of the current online driver, the fault tasks are allocated in combination with the time interval between the next fault task of the current online driver and the current fault task and the processing time length required by the fault task to be allocated, for example, the current online driver is respectively a, B, and C, the current task throughput of a, B, and C is 3, 4, and 5, and the time interval between the next fault task of a, B, and C and the fault task currently being executed is respectively 10 minutes (min), 8min, and 20min, and the processing time length required by the fault task to be allocated is 15min, the fault task can be allocated to the driver C, so as to realize the rapid allocation and processing of the fault task to be allocated; for another example, on the basis of the current task amount of the current online driver, the fault tasks are allocated in combination with the total processing time length adopted by all the current task amounts, for example, if the current online driver is a, B, and C, and the current task processing amounts of a, B, and C are 3, 4, and 5, respectively, and the total processing time lengths of all the current task processing amounts corresponding to a, B, and C are 45min, 50min, and 40min, respectively, the fault task can be allocated to the driver C, so as to quickly allocate and process the fault tasks; and thirdly, distributing the fault task according to the mapping relation between the vehicle to which the fault task belongs and the driver. Of course, in the actual operation process, the driver corresponding to the vehicle to which the trouble task belongs may not be on-line, and in this case, the trouble task may be distributed according to the two distribution methods.
In an embodiment, when the current allocation task is a daily task, the corresponding allocation mechanism includes: and distributing the current distribution task to the pre-configured driver according to a timing distribution mode. It can be understood that a mapping relation is established between the vehicle and the driver in advance, and when the current assigned task of the vehicle is detected to be a daily task, the current assigned task is assigned to the driver configured in advance in a timing mode, so that the driver controls the vehicle to execute the operation flow of the daily task. For example, the daily task may be a vehicle in-out task. Assuming that the vehicle executes the outbound task at 7 am every day, the outbound task of the vehicle is automatically distributed to the pre-configured current logged-in driver at 7 am every day, so that the current logged-in driver controls the vehicle to execute the outbound operation.
And S130, taking over and remotely controlling the current distributed task of the target vehicle according to the distribution mechanism.
In an embodiment, after determining the allocation mechanism corresponding to the current allocation task of the target vehicle, the current allocation task of the target vehicle is allocated to the corresponding driver according to the allocation mechanism, so that the driver takes over and remotely controls the target vehicle to execute the current allocation task.
In one embodiment, prior to determining the current assigned task for the target vehicle, further comprising: electrifying the target vehicle by adopting a preset electrifying mode; acquiring available state and current position information of a target vehicle; acquiring current operation information of the target vehicle under the condition that the available state of the target vehicle is an activated state; and starting the remote takeover control function of the target vehicle according to the current operation information.
In an embodiment, the preset power-on mode includes: and man-made power-on and remote power-on. When the preset power-on mode is manual power-on, field personnel need to go to the position of the target vehicle to manually power on the target vehicle. The battery of the target vehicle can be replaced by manually powering on the vehicle, or the charging pile can be used for charging the target vehicle, which is not limited. When the preset power-on mode is remote power-on, a remote operator can automatically find the charging pile closest to the target vehicle when the residual electric quantity of the target vehicle reaches a certain threshold value, and the target vehicle is charged in a wireless charging mode.
In an embodiment, after the target vehicle is powered on, the current position information and the available state of the target vehicle can be displayed on a human-computer interaction interface of the unmanned vehicle remote takeover control system. Wherein the available states include: an activated state and an inactivated state. And under the condition that the available state of the target vehicle is the activated state, the remote operator can double-click the icon of the target vehicle on the man-machine interaction interface, so that the current running information of the target vehicle can be displayed on the man-machine interaction interface. And under the condition that the target vehicle allows driving, the remote takeover control function of the target vehicle can be clicked, so that the target vehicle can be taken over and remotely controlled.
In one embodiment, the current operational information includes: monitoring pictures in four directions, the current vehicle speed, the current residual electric quantity, the current working gear and the network connection condition are preset. In the embodiment, the preset four-direction monitoring pictures refer to pictures in four directions, namely the front, the back, the left and the right, of the position of the target vehicle, so that a remote operator can remotely observe the driving condition of the position of the target vehicle, and remote operation control is facilitated. The network connection condition refers to the connection condition between the target vehicle and the unmanned vehicle remote take-over control system. In the actual operation process, good communication is kept between the target vehicle and the unmanned vehicle remote take-over control system, and the unmanned vehicle remote take-over control system can obtain accurate current operation information of the target vehicle, so that a remote operator can accurately and remotely control the target vehicle through the unmanned vehicle remote take-over control system.
In an embodiment, determining a corresponding allocation mechanism according to a task type of a currently allocated task includes: and searching a mapping relation table between a pre-configured task type and an allocation mechanism according to the task type of the current allocation task to obtain the allocation mechanism corresponding to the current allocation task.
In the embodiment, the unmanned vehicle remote take-over control system establishes a mapping relation table between the current allocation task and the allocation mechanism in advance, and can search the corresponding allocation mechanism according to the task type of the current allocation task.
In one embodiment, the task types include: daily tasks and trouble tasks.
In one embodiment, taking over and remotely controlling the currently assigned task of the target vehicle according to the assignment mechanism includes: acquiring a mapping relation between a preset personnel role and a vehicle; and distributing the daily tasks to the corresponding current login drivers so as to take over and remotely control the target vehicle.
In the embodiment, when the current assignment task is a daily task or a fault task, a mapping relation between a preset personnel role and the vehicle is acquired, so that the daily task or the fault task is assigned to the corresponding current login driver to remotely control the target vehicle and execute daily operation or fault operation. The personnel roles can be field personnel, remote operators and drivers. In the actual operation process, the remote operator and the driver can be the same person. In an embodiment, each driver is configured with a corresponding vehicle, i.e. each driver manages the currently assigned tasks (which may be daily tasks) of several corresponding vehicles. For example, assume that driver a configures vehicle 1 and vehicle 2; the driver B configures the vehicle 3 and the vehicle 4. When the daily tasks and the trouble tasks of the vehicle 3 are detected, the daily tasks and the trouble tasks of the vehicle 3 may be assigned to the driver B according to the mapping relationship between the vehicle and the driver, so that the driver B remotely controls the daily tasks and the trouble tasks of the vehicle 3.
In one embodiment, taking over and remotely controlling the currently assigned task of the target vehicle according to the assignment mechanism includes: determining a current online login driver; and randomly distributing the fault tasks to the current online login drivers so as to take over and remotely control the target vehicle.
It should be noted that, since the trouble tasks are randomly generated, when the trouble tasks are processed, the trouble tasks may be randomly distributed to the currently online logged-in drivers to remotely control the trouble tasks of the target vehicle. Of course, when the daily tasks are processed, the daily tasks can be randomly distributed to the current online logged driver in a random distribution mode so as to remotely control the daily tasks of the target vehicle.
Fig. 2 is a flowchart of another unmanned vehicle remote takeover control method according to an embodiment of the present invention. The embodiment is executed by the unmanned vehicle remote take-over control box system. As shown in fig. 2, the present embodiment includes the following steps:
and S210, electrifying the target vehicle by adopting a preset electrifying mode.
And S220, acquiring the available state and the current position information of the target vehicle.
And S230, acquiring the current operation information of the target vehicle under the condition that the available state of the target vehicle is the activated state.
And S240, starting a remote take-over control function of the target vehicle according to the current operation information.
And S250, determining the current distribution task of the target vehicle.
And S260, determining a corresponding distribution mechanism according to the task type of the current distribution task.
And S270, taking over and remotely controlling the current distributed task of the target vehicle according to the distribution mechanism.
In the embodiment, the unmanned vehicle remote take-over control system divides the distribution task into a daily task and a fault task. When the distributed tasks are daily tasks, the unmanned vehicle remote take-over control system distributes the tasks to the current logged-in driver according to the timed warehouse-in and warehouse-out tasks established by the background server and the binding relationship between the driver and the vehicle, so that the current logged-in driver selects each vehicle task to carry out the operation of warehouse-in and warehouse-out of the vehicle; when the distributed task is a fault task, the unmanned vehicle remote take-over control system distributes the vehicle with the fault to the current login driver according to the vehicle fault task distributed by the background processor in real time, so that the current login driver selects each fault task to perform vehicle supervision operation.
Fig. 3 is a schematic interaction diagram between an unmanned vehicle remote takeover control system and a remote operator according to an embodiment of the present invention. As shown in fig. 3, all vehicle information (e.g., current operation information, current position information, available state, etc.) is displayed on the human-computer interaction platform of the unmanned vehicle remote takeover control system, and all parts on a real driving position, such as a steering wheel, a brake, an accelerator, a seat, etc., are arranged in front of the human-computer interaction platform. Then, the remote operator can remotely control the target vehicle through the real steering wheel and the vehicle information displayed on the man-machine interaction platform in the unmanned vehicle remote takeover control system.
Fig. 4 is a schematic display diagram of a human-computer interaction platform according to an embodiment of the present invention. As shown in fig. 4, after the vehicle is powered on, the current location information, the available status, and the vehicle number of all vehicles may be displayed on the human interaction platform. Illustratively, as shown in fig. 4, there are three vehicles currently in the activated state, the vehicle numbers are C62, C60 and C56, respectively, and the current location information is the window of the world of beijing hangyang park, shenzhen jinxihua and shenzhen, respectively. After all the vehicles in the activated state are displayed on the interpersonal interaction platform, a remote operator can select one of the vehicles for supervision, and can also select the corresponding vehicle for supervision according to a mapping relation between a pre-configured human role and the vehicle.
Fig. 5 is a schematic display diagram of another human-computer interaction platform provided in the embodiment of the present invention. As shown in fig. 5, when the unmanned vehicle remote takeover control system does not take over the vehicle (i.e., the vehicle is in a non-remote takeover control state), the simulator may complete real-time monitoring of the vehicle status data such as power-on/power-off, monitoring video, current vehicle speed, current remaining power, current operating gear, network connection status, and the like. The monitoring video refers to road conditions of the vehicle in four directions, namely front, rear, left and right. Under the condition that the unmanned vehicle remote takeover control system takes over the vehicle (namely the vehicle is in a remote takeover control state), the vehicle can be remotely taken over by clicking a takeover mode switching button corresponding to the vehicle displayed on the human-computer interaction platform, and the vehicle is remotely driven and controlled.
In the embodiment, the fault tasks can be distributed in two modes of automatic distribution and manual distribution. In one implementation, assume that the trouble task is assigned to remote driver a (i.e., remote operator a) by way of automatic assignment; the trouble task is assigned to the remote driver B (i.e., the remote operator B) by means of manual assignment. In the case of assigning a trouble task to the remote driver a, the task assignment process includes: firstly, after a new type of driver is built, a system automatically allocates fault tasks according to a fixed binding relationship (which can also be a data authority or a mapping relationship) between the driver and a vehicle, in a fault list of a remote driving Human Machine Interface (HMI) client, the newly generated fault tasks of the vehicle can be synchronously updated and displayed, a fault center background server cannot manually allocate the fault tasks to the type of driver, but the fault center background server can record and monitor a task execution state. In the case of assigning a trouble task to the remote driver B, the task assignment process includes: firstly, after the type of drivers are newly built, the system manually distributes the fault tasks to the designated drivers according to the fault center background server, and after the fault tasks are distributed, the remote driving HMI client synchronously updates and displays the fault tasks, so that the fault center background server can monitor the task execution state.
Fig. 6 is a block diagram of a remote takeover control device for an unmanned vehicle according to an embodiment of the present invention, where the device is suitable for use in a situation where the unmanned vehicle is automatically taken over and remotely controlled, and the device may be implemented by hardware/software and may be generally integrated in an apparatus. As shown in fig. 6, the apparatus includes: a first determination module 310, a second determination module 320, and a control module 330.
The first determining module 310 is configured to determine a current assigned task of the target vehicle when the remote takeover control function of the target vehicle is in a start mode;
a second determining module 320, configured to determine a corresponding allocation mechanism according to a task type of a currently allocated task;
and the control module 330 is used for taking over and remotely controlling the current distributed task of the target vehicle according to the distribution mechanism.
According to the technical scheme of the embodiment, the corresponding distribution mechanism is determined according to the task type of the current distribution task of the target vehicle, and the current distribution task of the target vehicle is taken over and remotely controlled according to the distribution mechanism, so that automatic taking over and remote control over the unmanned vehicle are realized. .
In one embodiment, prior to determining the current assigned task for the target vehicle, further comprising:
electrifying the target vehicle by adopting a preset electrifying mode;
acquiring available state and current position information of a target vehicle;
acquiring current operation information of the target vehicle under the condition that the available state of the target vehicle is an activated state;
and starting the remote takeover control function of the target vehicle according to the current operation information.
In one embodiment, the current operational information includes: monitoring pictures in four directions, the current vehicle speed, the current residual electric quantity, the current working gear and the network connection condition are preset.
In an embodiment, determining a corresponding allocation mechanism according to a task type of a currently allocated task includes:
and searching a mapping relation table between a pre-configured task type and an allocation mechanism according to the task type of the current allocation task to obtain the allocation mechanism corresponding to the current allocation task.
In one embodiment, the task types include: daily tasks and trouble tasks.
In one embodiment, taking over and remotely controlling the currently assigned task of the target vehicle according to the assignment mechanism includes:
acquiring a mapping relation between a preset personnel role and a vehicle;
and distributing the daily tasks to the corresponding current login drivers so as to take over and remotely control the target vehicle.
In one embodiment, taking over and remotely controlling the currently assigned task of the target vehicle according to the assignment mechanism includes:
determining a current online login driver;
and randomly distributing the fault tasks to the current online login drivers so as to take over and remotely control the target vehicle.
The unmanned vehicle remote takeover control device can execute the unmanned vehicle remote takeover control method provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method.
Fig. 7 is a schematic hardware structure diagram of an unmanned vehicle remote take-over control system according to an embodiment of the present invention. As shown in fig. 7, an apparatus provided in an embodiment of the present invention includes: memory 410, one or more processors 420, human-computer interaction platform 430, simulator 440, fault center backend server 450. The number of the processors 420 in the device may be one or more, one processor 420 is taken as an example in fig. 7, the processor 420, the memory 410, the human-computer interaction platform 430, the simulator 440, and the fault center backend server 450 in the device may be connected by a bus or in other ways, and the connection by the bus is taken as an example in fig. 7.
The memory 410 of the device is used as a computer-readable storage medium for storing one or more programs, which may be software programs, computer-executable programs, and modules, and may be program instructions/modules corresponding to the method for remotely controlling the unmanned aerial vehicle according to the embodiments of the present invention (for example, the modules in the unmanned aerial vehicle remote control apparatus shown in fig. 6, which include the first determining module 310, the second determining module 320, and the control module 330). The processor 410 executes various functional applications and data processing of the device by running software programs, instructions and modules stored in the memory 410, that is, the method for remotely taking over control of the unmanned aerial vehicle in the above method embodiment is realized.
The memory 410 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 according to use of a device configured in the device, and the like. Further, the memory 410 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, memory 410 may further include memory located remotely from processor 420, which may be connected to configured ones of the devices over a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The human-computer interaction platform 430 is used for displaying the current operation information, the current position information and the available state of the vehicle;
the simulator 440 is used for powering on and powering off the vehicle and monitoring the current running information of the vehicle;
the fault center background server 450 is configured to allocate a fault task and monitor an execution state of the fault task.
In one embodiment, an apparatus is provided comprising a memory 410 and a processor 420, the memory 410 storing a computer program, the processor 420 implementing the following steps when executing the computer program:
determining the current distribution task of the target vehicle under the condition that the remote takeover control function of the target vehicle is in a starting mode; determining a corresponding allocation mechanism according to the task type of the current allocation task; and taking over and remotely controlling the current distribution task of the target vehicle according to the distribution mechanism.
The device can execute the unmanned vehicle remote takeover control method provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method.
The embodiment of the invention also provides a computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, the method for remotely taking over control of the unmanned aerial vehicle provided by the embodiment of the invention is implemented, and the method comprises the following steps: determining the current distribution task of the target vehicle under the condition that the remote takeover control function of the target vehicle is in a starting mode; determining a corresponding allocation mechanism according to the task type of the current allocation task; and taking over and remotely controlling the current distribution task of the target vehicle according to the distribution mechanism.
Computer storage media for embodiments of the invention may employ any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, or the like, as well as conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments illustrated herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (10)
1. A remote control method for taking over unmanned vehicles is characterized by comprising the following steps:
determining the current distribution task of the target vehicle under the condition that the remote takeover control function of the target vehicle is in a starting mode;
determining a corresponding allocation mechanism according to the task type of the current allocation task;
and taking over and remotely controlling the current distribution task of the target vehicle according to the distribution mechanism.
2. The method of claim 1, further comprising, prior to the determining a currently assigned mission of a target vehicle:
electrifying the target vehicle by adopting a preset electrifying mode;
acquiring available state and current position information of the target vehicle;
acquiring current operation information of the target vehicle under the condition that the available state of the target vehicle is an activated state;
and starting a remote take-over control function of the target vehicle according to the current operation information.
3. The method of claim 2, wherein the current operational information comprises at least one of: monitoring pictures in four directions, the current vehicle speed, the current residual electric quantity, the current working gear and the network connection condition are preset.
4. The method of claim 1, wherein determining the corresponding allocation mechanism according to the task type of the currently allocated task comprises:
and searching a mapping relation table between a pre-configured task type and an allocation mechanism according to the task type of the current allocation task to obtain the allocation mechanism corresponding to the current allocation task.
5. The method of claim 1, wherein the task types comprise: daily tasks and trouble tasks.
6. The method according to any one of claims 1-5, wherein said taking over and remotely controlling a currently assigned task of said target vehicle according to said assignment mechanism comprises:
acquiring a mapping relation between a preset personnel role and a vehicle;
and distributing daily tasks to the corresponding current login drivers so as to take over and remotely control the target vehicle.
7. The method according to any one of claims 1-5, wherein said taking over and remotely controlling a currently assigned task of said target vehicle according to said assignment mechanism comprises:
determining a current online login driver;
and randomly distributing fault tasks to the current online login drivers so as to take over and remotely control the target vehicle.
8. The utility model provides a long-range takeover controlling means of unmanned aerial vehicle which characterized in that includes:
the system comprises a first determination module, a second determination module and a third determination module, wherein the first determination module is used for determining the current distribution task of the target vehicle under the condition that the remote takeover control function of the target vehicle is in a starting mode;
the second determining module is used for determining a corresponding distribution mechanism according to the task type of the current distribution task;
and the control module is used for taking over and remotely controlling the current distribution task of the target vehicle according to the distribution mechanism.
9. A remote takeover control system for an unmanned vehicle, comprising: the system comprises a human-computer interaction platform, a simulator, a fault center background server, a memory and one or more processors;
the human-computer interaction platform is used for displaying the current running information, the current position information and the available state of the vehicle;
the simulator is used for powering on and powering off the vehicle and monitoring the current running information of the vehicle;
the fault center background server is used for distributing fault tasks and monitoring the execution state of the fault tasks;
the memory for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement the drone vehicle remote takeover control method of any of claims 1-7.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the drone vehicle remote take-over control method according to claims 1-7.
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