CN114153220B - Remote control method for automatic driving based on artificial intelligence Internet of things platform - Google Patents
Remote control method for automatic driving based on artificial intelligence Internet of things platform Download PDFInfo
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Abstract
The invention discloses a remote control method for automatic driving based on an artificial intelligence Internet of things platform, which comprises the following steps: the method comprises the steps of obtaining real-time information of a vehicle detected by an intelligent pole management system, preprocessing the real-time information of the vehicle through an artificial intelligence Internet of things platform to obtain target vehicle information, and modeling the target vehicle information through an artificial intelligence digital twin cloud platform to obtain a corresponding digital model; sending the digital model to the wearable virtual/reality interaction equipment for displaying, and acquiring a real-time control instruction through the wearable virtual/reality interaction equipment; and controlling the unmanned vehicle through a real-time control command according to the digital model. The invention can realize remote control for the unmanned vehicle, is convenient for remotely carrying out emergent vehicle moving and pre-judging the current road condition and warning in advance, and finds out a proper driving route map, a proper parking space and other methods in real time.
Description
Technical Field
The invention relates to the technical field of unmanned driving, in particular to a remote control method for automatic driving based on an artificial intelligence Internet of things platform.
Background
In recent years, the number of vehicles in cities is increasing continuously, and in order to ensure the normal operation of urban traffic, efficient scheduling of vehicles is generally required in urban traffic hubs. Generally, when a vehicle is scheduled, a vehicle owner needs to be contacted to move the vehicle, and the vehicle owner cannot move the vehicle once the vehicle owner is not near the vehicle, and particularly, when the traffic flow is in a rush hour, the operation efficiency of urban traffic is reduced due to untimely vehicle scheduling.
Disclosure of Invention
The invention mainly aims to provide a remote control method for automatic driving based on an artificial intelligence Internet of things platform, and aims to realize remote control of an unmanned vehicle, facilitate remote emergency vehicle moving of a vehicle owner, predict current road conditions in advance, find a proper driving road sheet and find a proper parking space in real time.
In order to achieve the above object, the present invention provides a remote control method for automatic driving based on an artificial intelligence internet of things platform, which includes:
the real-time information of the vehicle detected by the intelligent pole management system is obtained, the real-time information of the vehicle is preprocessed through the artificial intelligence Internet of things platform to obtain target vehicle information, and modeling is carried out on the target vehicle information through the artificial intelligence digital twin cloud platform to obtain a corresponding digital model;
Sending the digital model to the wearable virtual/reality interaction device for displaying, and acquiring a real-time control instruction through the wearable virtual/reality interaction device;
and controlling the unmanned vehicle through the real-time control instruction according to the digital model so as to realize emergency vehicle moving, road condition prejudgment, driving route planning and parking space searching of the unmanned vehicle.
Optionally, before the step of acquiring real-time information of the vehicle detected by the smart stick management system, the method further includes:
establish wearable virtual reality mutual equipment with the connection between the artificial intelligence thing networking platform, and establish based on wearable virtual reality mutual equipment unmanned vehicle with the connection between the wisdom pole management system.
Optionally, before the step of acquiring real-time information of the vehicle detected by the smart club management system, the method further includes:
through collection module in the unmanned vehicles carries out real-time acquisition to vehicle parameter and vehicle environment and generates vehicle real-time information, and through on-vehicle wireless network module in the unmanned vehicles will vehicle real-time information send to wisdom pole management system, wherein, collection module includes: the system comprises a laser radar module and/or an image acquisition module.
Optionally, the step of controlling the unmanned vehicle through the real-time control command includes:
and sending the real-time control instruction to the artificial intelligence Internet of things platform, analyzing the real-time control instruction through the artificial intelligence Internet of things platform, and performing remote mobile control on the unmanned vehicle according to the analyzed real-time control instruction.
Optionally, after the step of performing remote mobile control on the unmanned vehicle according to the analyzed real-time control instruction, the method further includes:
acquiring position information of the moved unmanned vehicle, and judging whether the unmanned vehicle is at a preset target position according to the position information;
if not, the position information is sent to the wearable virtual/reality interaction device, so that the vehicle owner can remotely control the unmanned vehicle again based on the position information until the unmanned vehicle reaches the preset target position.
Optionally, the step of obtaining the real-time control instruction through the wearable virtual/reality interaction device includes:
and performing visual stimulation on the vehicle owner through the inducing pattern in the wearable virtual/reality interaction equipment to obtain a real-time control instruction.
Optionally, the wearable virtual/reality interaction device comprises: a wearable MR device or a wearable AR/VR device.
In order to achieve the above object, the present invention further provides a remote control method for automatic driving based on an artificial intelligence internet of things platform, comprising:
the modeling module is used for acquiring vehicle real-time information detected by the intelligent pole management system, preprocessing the vehicle real-time information through the artificial intelligence Internet of things platform to obtain target vehicle information, and modeling the target vehicle information through the artificial intelligence digital twin cloud platform to obtain a corresponding digital model;
the acquisition module is used for sending the digital model to the wearable virtual/reality interaction equipment for displaying, and acquiring a real-time control instruction through the wearable virtual/reality interaction equipment;
and the control module is used for controlling the unmanned vehicle through the real-time control instruction according to the digital model so as to realize emergency vehicle moving, road condition prejudgment, driving route planning and parking space searching of the unmanned vehicle.
The steps of the remote control method for automatic driving based on the artificial intelligence internet of things platform are realized when each functional module of the remote control device for automatic driving based on the artificial intelligence internet of things platform operates.
In order to achieve the above object, the present invention further provides a terminal device, where the terminal device includes: the remote control program for automatic driving based on the artificial intelligence Internet of things platform is executed by the processor to realize the steps of the remote control method for automatic driving based on the artificial intelligence Internet of things platform.
In addition, in order to achieve the above object, the present invention further provides a remote control method for an autonomous vehicle based on an artificial intelligence internet of things platform, in which a remote control program for autonomous driving based on an artificial intelligence internet of things platform is stored, and the remote control program for autonomous driving based on an artificial intelligence internet of things platform is executed by a processor to implement the steps of the remote control method for autonomous driving based on an artificial intelligence internet of things platform as described above.
In addition, to achieve the above object, the present invention also provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, the computer program implements the steps of the remote control method for automatic driving based on the artificial intelligence internet of things platform as described above.
The invention provides a remote control method for automatic driving based on an artificial intelligence Internet of things platform and a computer program product, wherein the remote control method for automatic driving based on the artificial intelligence Internet of things platform comprises the following steps: the real-time information of the vehicle detected by the intelligent pole management system is obtained, the real-time information of the vehicle is preprocessed through the artificial intelligence Internet of things platform to obtain target vehicle information, and modeling is carried out on the target vehicle information through the artificial intelligence digital twin cloud platform to obtain a corresponding digital model; sending the digital model to the wearable virtual/reality interaction device for displaying, and acquiring a real-time control instruction through the wearable virtual/reality interaction device; and controlling the unmanned vehicle through the real-time control instruction according to the digital model so as to realize emergency vehicle moving, road condition prejudgment, driving route planning and parking space searching of the unmanned vehicle.
Compared with the mode that a vehicle owner performs mobile control on the vehicle at a driving position in the prior art, the method and the system have the advantages that the real-time information of the vehicle is sent to the artificial intelligent Internet of things platform through the intelligent pole management system to be preprocessed, so that the target vehicle information is obtained; the target vehicle information is sent to an artificial intelligence digital twin cloud platform through an artificial intelligence Internet of things platform, and modeling is carried out on the target vehicle information through the artificial intelligence digital twin cloud platform to obtain a corresponding digital model; and finally, the digital model is sent to the wearable virtual/real interaction equipment through the artificial intelligent digital twin cloud platform to be displayed, and a real-time control instruction triggered by a user is acquired based on the wearable virtual/real interaction equipment so as to remotely move and control the vehicle through the real-time control instruction, so that the vehicle owner does not need to move the vehicle at the driving position. Therefore, the intelligent traffic system based on the artificial intelligence Internet of things platform, the artificial intelligence digital twin cloud platform, the intelligent pole management system and the wearable virtual/reality interaction equipment realizes intelligent traffic aiming at remote control of the unmanned vehicle, improves urban traffic operation efficiency and also improves vehicle owner experience.
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FIG. 1 is a schematic diagram of a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of an embodiment of a remote control method for automatic driving based on an artificial intelligence Internet of things platform according to the invention;
fig. 3 is a schematic functional module diagram of an embodiment of the remote control device for automatic driving based on the artificial intelligence internet of things platform according to the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
As shown in fig. 1, fig. 1 is a schematic device structure diagram of a hardware operating environment according to an embodiment of the present invention.
It should be noted that, the terminal device in the embodiment of the present invention may be a terminal device for extracting data from multiple types of data sources, and the terminal device may specifically be a smart phone, a personal computer, a server, and the like.
As shown in fig. 1, the apparatus may include: a processor 1001, such as a CPU, a network interface 1004, a user interface 1003, a memory 1005, a communication bus 1002. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a keyboard (keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The memory 1005 may be a high-speed RAM memory or a non-volatile memory (e.g., a magnetic disk memory). The memory 1005 may alternatively be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the configuration of the apparatus shown in fig. 1 is not intended to be limiting and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
As shown in fig. 1, a memory 1005, which is a kind of computer storage medium, may include therein an operating system, a network communication module, a user interface module, and a remote control program for autonomous driving based on an artificial intelligence internet of things platform. The operating system is a program for managing and controlling hardware and software resources of the equipment, and supports the running of a remote control program for automatic driving based on the artificial intelligence Internet of things platform and other software or programs. In the device shown in fig. 1, the user interface 1003 is mainly used for data communication with a client; the network interface 1004 is mainly used for establishing communication connection with a server; and the processor 1001 may be configured to call a control program stored in the memory 1005 for remote control of autonomous driving based on the artificial intelligence internet of things platform, and perform the following operations:
the real-time information of the vehicle detected by the intelligent pole management system is obtained, the real-time information of the vehicle is preprocessed through the artificial intelligence Internet of things platform to obtain target vehicle information, and modeling is carried out on the target vehicle information through the artificial intelligence digital twin cloud platform to obtain a corresponding digital model;
Sending the digital model to the wearable virtual/reality interaction device for displaying, and acquiring a real-time control instruction through the wearable virtual/reality interaction device;
and controlling the unmanned vehicle through the real-time control instruction according to the digital model so as to realize emergency vehicle moving, road condition prejudgment, driving route planning and parking space searching of the unmanned vehicle.
Further, before the step of acquiring the real-time information of the vehicle detected by the smart bar management system, the processor 1001 may be further configured to call a remote control program for automatic driving based on an artificial intelligence internet of things platform stored in the memory 1005, and further perform the following operations:
establish wearable virtual reality mutual equipment with the connection between the artificial intelligence thing networking platform, and establish based on wearable virtual reality mutual equipment unmanned vehicle with the connection between the wisdom pole management system.
Further, before the step of acquiring real-time information of the vehicle detected by the smart bar management system, the processor 1001 may be further configured to call a remote control program for automatic driving based on an artificial intelligence internet of things platform stored in the memory 1005, and further perform the following operations:
Through collection module in the unmanned vehicles carries out real-time acquisition to vehicle parameter and vehicle environment and generates vehicle real-time information, and through on-vehicle wireless network module in the unmanned vehicles will vehicle real-time information send to wisdom pole management system, wherein, collection module includes: a laser radar module and/or an image acquisition module.
Further, the processor 1001 may be further configured to invoke a remote control program for automatic driving based on the artificial intelligence internet of things platform stored in the memory 1005, and further perform the following operations:
and sending the real-time control instruction to the artificial intelligence Internet of things platform, analyzing the real-time control instruction through the artificial intelligence Internet of things platform, and performing remote mobile control on the unmanned vehicle according to the analyzed real-time control instruction.
Further, after the step of performing remote mobile control on the unmanned vehicle according to the analyzed real-time control instruction, the processor 1001 may be further configured to invoke a remote control program for automatic driving based on the artificial intelligence internet of things platform stored in the memory 1005, and further perform the following operations:
Acquiring position information of the moved unmanned vehicle, and judging whether the unmanned vehicle is at a preset target position according to the position information;
if not, the position information is sent to the wearable virtual/reality interaction device, so that the vehicle owner can remotely control the unmanned vehicle again based on the position information until the unmanned vehicle reaches the preset target position.
Further, the processor 1001 may be further configured to invoke a remote control program for automatic driving based on the artificial intelligence internet of things platform stored in the memory 1005, and further perform the following operations:
and performing visual stimulation on the vehicle owner through the inducing pattern in the wearable virtual/reality interaction equipment to obtain a real-time control instruction.
Further, the wearable virtual/reality interaction device includes: a wearable MR device or a wearable AR/VR device.
Referring to fig. 2, fig. 2 is a schematic flow chart of a first embodiment of a remote control method for automatic driving based on an artificial intelligence internet of things platform according to the present invention.
In the present embodiment, an embodiment of a remote control method for automatic driving based on an artificial intelligence internet of things platform is provided, and it should be noted that although a logical order is shown in the flowchart, in some cases, the steps shown or described may be performed in an order different from that here.
In this embodiment, the remote control method for automatic driving based on the artificial intelligence internet of things platform is applied to a remote control system for automatic driving based on the artificial intelligence internet of things platform, and the remote control system for automatic driving based on the artificial intelligence internet of things platform includes: artificial intelligence thing networking platform, wearable virtual reality mutual equipment and wisdom pole management system. The artificial intelligence internet of things platform is developed on a traditional IOT platform, but not only in AI technology, the artificial intelligence internet of things platform simultaneously supports video cloud, big data systems and the like, and the artificial intelligence internet of things platform is an enabling platform really bringing the internet of things technology into play. The application of the artificial intelligence Internet of things platform comprises the following steps: the service and state, artificial intelligence thing networking platform includes the service, technology, data, operation architecture (IAAS, PAAS, SAAS, DAAS) and network communication layer and equipment layer, and so on the multilayer architecture amalgamation platform, wherein, the service and state includes: smart cities, smart traffic, smart parks, smart communities, smart agriculture, and the like; the platform enabling of the artificial intelligence Internet of things further comprises: application enable, data enable, and integration enable, etc.; the PAAS comprises: the system comprises an Internet of things platform, an AI platform, a video cloud platform and the like; the IAAS comprises: common cloud, private cloud and hybrid cloud, the network communication layer includes: 2G/3G/4G/5G, Ethernet, 5G, Wi-Fi, Bluetooth, LORA, NB-IOT, etc.; DaaS includes big data processing, 3D holography, 3D modeling, etc. The device layer includes: control equipment, gateway edge equipment, cameras, sensors and the like.
In addition, the intelligent pole management system is a public infrastructure integrating multiple functions of intelligent lighting, video monitoring, traffic management, environment detection, wireless communication, information interaction, emergency help seeking and the like, and is an important carrier for constructing a novel intelligent city. The intelligent pole management system can mount equipment such as a 5G communication base station, a WiFi wireless network, an intelligent energy-saving street lamp, intelligent security monitoring, intelligent face recognition, traffic guidance and indication, sound and broadcast television, unmanned aerial vehicle charging, automobile charging pile, parking noninductive payment and unmanned driving guidance. The vehicle real-time information of the unmanned vehicle can be received by the intelligent pole management system in the embodiment, the vehicle real-time information is preprocessed through the artificial intelligence internet of things platform, the preprocessed vehicle real-time information is sent to the artificial intelligence digital twin cloud platform to be modeled to obtain a corresponding digital model, the digital model is sent to the wearable virtual/real interaction device to be displayed, a vehicle owner can obtain the vehicle real-time information at any time, and the unmanned vehicle is remotely controlled.
Step S10, obtaining vehicle real-time information detected by the intelligent pole management system, preprocessing the vehicle real-time information through the artificial intelligence Internet of things platform to obtain target vehicle information, and modeling the target vehicle information through the artificial intelligence digital twin cloud platform to obtain a corresponding digital model;
It should be noted that, in this embodiment, when the owner of the vehicle is not near the vehicle and needs to move the vehicle in an emergency, in order not to hinder operation of urban traffic, a digital model of the real-time information of the vehicle may be obtained based on the smart bar management system, the artificial intelligence internet of things platform and the artificial intelligence digital twin cloud platform, and the digital model is displayed through the wearable virtual/real interaction device.
Specifically, for example, vehicle real-time information of the unmanned vehicle is acquired through a smart bar management system, and the vehicle real-time information may include: vehicle parameter information, vehicle environment information and the like; the vehicle real-time information is sent to an artificial intelligence internet of things platform through an intelligent pole management system, and the vehicle real-time information is preprocessed through an edge computing gateway in the artificial intelligence internet of things platform to obtain a target vehicle message; sending the target vehicle information to an artificial intelligent digital twin cloud platform, and carrying out digital modeling on the target vehicle information through the artificial intelligent digital twin cloud platform to obtain a digital model about the target vehicle information; the digital model corresponding to the target vehicle information is sent to the wearable virtual/reality interaction device through the artificial intelligent digital twin cloud platform to be displayed, so that a vehicle owner can browse vehicle parameter information, environment information where the vehicle is located and the like through the wearable virtual/reality interaction device, and then the vehicle is remotely emergently moved, the current road condition is pre-judged in advance, warning is given out, and a proper driving route map, a proper parking space and the like are found in real time. The digital model is used for digitalizing the target vehicle information on the artificial intelligent digital twin cloud platform.
Step S20, sending the digital model to the wearable virtual/reality interaction device for display, and acquiring a real-time control instruction through the wearable virtual/reality interaction device;
it should be noted that, in this embodiment, in order to enable the vehicle owner to remotely control the movement of the unmanned vehicle, the real-time interaction and display of the digital model related to the real-time information of the vehicle, which is obtained through the smart bar management system, the artificial intelligence internet of things platform and the artificial intelligence digital twin cloud platform, may be performed on the wearable virtual/real interaction device. The wearable virtual/reality interaction device comprises a visual interaction interface, the digital model can be displayed through the visual interaction interface, visual stimulation can be performed on the vehicle owner based on the visual interaction interface to obtain a real-time control instruction triggered by the vehicle owner, and real-time parameters of the vehicle, such as the oil quantity/electric quantity of the vehicle, can be displayed on the visual interface.
Specifically, for example, after vehicle real-time information is preprocessed through an edge computing gateway in an artificial intelligence internet of things platform to obtain target vehicle information, and a model of the target vehicle information is built through an artificial intelligence digital twin cloud platform to obtain a digital model of the vehicle real-time information, the digital model is sent to wearable virtual/reality interaction equipment worn by a vehicle owner through the artificial intelligence digital twin cloud platform, so that the vehicle owner can browse the digital model corresponding to the vehicle real-time information in the wearable virtual/reality interaction equipment, and meanwhile, a real-time control instruction triggered by the vehicle owner is received through the wearable virtual/reality interaction equipment, so that the unmanned vehicle is controlled according to the real-time control instruction.
And step S30, controlling the unmanned vehicle through the real-time control instruction according to the digital model so as to realize emergency vehicle moving, road condition prejudgment, driving route planning and parking space searching of the unmanned vehicle.
After a real-time control instruction remotely initiated by a vehicle owner is acquired through the wearable virtual/real interaction device, the unmanned vehicle is remotely controlled according to the real-time control instruction and a digital model corresponding to vehicle real-time information.
Specifically, for example, after a real-time control instruction triggered by an owner is received through the wearable virtual/reality interaction device, the real-time control instruction is sent to the artificial intelligence internet of things platform; analyzing the real-time control instruction through an artificial intelligence Internet of things platform; sending the analyzed real-time control instruction to an intelligent pole management system, and sending the analyzed real-time control instruction to the unmanned vehicle through the intelligent pole management system; and the calculation center of the unmanned vehicle converts the analyzed real-time control instruction into a corresponding CAN signal so as to control a brake motor driver of the unmanned vehicle through the CAN signal, thereby realizing remote emergency vehicle moving, road condition prejudgment, driving route planning, parking space searching and the like of the vehicle.
Further, before "obtaining the real-time information of the vehicle detected by the smart stick management system" in step S10, the method further includes:
step S40, establishing a connection between the wearable virtual/reality interaction device and the artificial intelligence internet of things platform, and establishing a connection between the unmanned vehicle and the smart pole management system based on the wearable virtual/reality interaction device.
Before an owner needs to remotely control the unmanned vehicle, a connection instruction needs to be sent through the wearable virtual/reality interaction device, the connection instruction is sent to the artificial intelligent Internet of things platform through the wearable virtual/reality interaction device, and the artificial intelligent Internet of things platform establishes connection with the wearable virtual/reality interaction device after receiving the connection instruction; simultaneously, will this connect the instruction and send to wisdom pole management system through artificial intelligence thing networking platform, and pass through 5G basic station module in the wisdom pole management system sends this connect instruction to unmanned vehicle, and unmanned vehicle will establish with the nearest wisdom pole management system of distance after receiving this connect instruction based on signal reception module, in order to realize unmanned vehicle with be connected between the wisdom pole management system.
Further, before "acquiring the real-time information of the vehicle transmitted through the smart bar management system" in step S10, the method further includes:
step S50, vehicle parameters and the environment of the vehicle are collected in real time through a collection module in the unmanned vehicle to generate vehicle real-time information, and the vehicle real-time information is sent to the intelligent pole management system through a vehicle-mounted wireless network module in the unmanned vehicle, wherein the collection module comprises: the system comprises a laser radar module and/or an image acquisition module.
In this embodiment, the acquisition module that can be mounted on the unmanned vehicle may include a laser radar module, an image acquisition module, and the like. The laser radar module can be used for scanning the surrounding environment of the vehicle to form a 3D panoramic image map, and the image acquisition module can be used for capturing the surrounding environment of the vehicle and identifying objects contained in the image through deep learning, such as pedestrians, driving vehicles, traffic signposts and the like.
Specifically, for example, when the vehicle is moved remotely, the radar module and/or the image acquisition module are/is required to acquire real-time information of the vehicle, such as obstacles around the vehicle, road conditions around the vehicle, and a partition line of a parking area, in advance, and the real-time information of the vehicle is sent to the smart bar management system through the vehicle-mounted wireless network module in the unmanned vehicle, and the smart bar management system can receive the real-time information of the vehicle through the 5G base station module, send the real-time information of the vehicle to the artificial intelligent internet of things platform and the artificial intelligent digital twin cloud platform after receiving the real-time information of the vehicle, so as to obtain a digital model corresponding to the real-time information of the vehicle, and display the digital model in the wearable virtual/real interaction device, so that a vehicle owner can remotely perform emergency vehicle moving, emergency vehicle moving and vehicle moving on the basis of the wearable virtual/real-time interaction device, Road condition prejudgment, driving route planning, parking space searching and the like.
In this embodiment, when the car owner needs to carry out remote movement to the vehicle, the accessible wearable virtual reality mutual equipment sends the connection instruction, after receiving this connection instruction through artificial intelligence thing networking platform, send this connection instruction to wisdom pole management system through artificial intelligence thing networking platform, and send this connection instruction to unmanned vehicle's signal receiver module through the 5G basic station module among the wisdom pole management system, unmanned vehicle is connected with the nearest wisdom pole management system of distance after receiving this connection signal. When the vehicle is remotely controlled, the real-time information of the vehicle such as obstacles around the vehicle and road conditions around the vehicle needs to be obtained in advance through a radar module and/or an image acquisition module carried by the unmanned vehicle, and the real-time information of the vehicle is sent to an intelligent pole management system; the vehicle real-time information is sent to an artificial intelligence Internet of things platform through an intelligent pole management system to be preprocessed, so that target vehicle information is obtained; the target vehicle information is sent to an artificial intelligence digital twin cloud platform through an artificial intelligence Internet of things platform, and modeling is carried out on the target vehicle information through the artificial intelligence digital twin cloud platform to obtain a corresponding digital model; the digital model is wirelessly transmitted to wearable virtual/real interaction equipment worn by a vehicle owner through an artificial intelligent digital twin cloud platform, and a real-time control instruction triggered by the vehicle owner is received through the wearable virtual/real interaction equipment, so that the unmanned vehicle can be remotely moved according to the real-time control instruction.
Compared with the mode that a vehicle owner carries out mobile control on the vehicle at a driving position in the prior art, in the invention, the real-time information of the vehicle is obtained through an acquisition module carried by the unmanned vehicle, and the real-time information of the vehicle is sent to an artificial intelligent Internet of things platform through an intelligent pole management system for preprocessing to obtain the information of a target vehicle; the target vehicle information is sent to an artificial intelligence digital twin cloud platform through an artificial intelligence Internet of things platform, and modeling is carried out on the target vehicle information through the artificial intelligence digital twin cloud platform to obtain a corresponding digital model; and finally, displaying the digital model through the wearable virtual/reality interaction device, and acquiring a real-time control instruction triggered by a user based on the wearable virtual/reality interaction device so as to perform remote mobile control on the vehicle through the real-time control instruction, so that the vehicle owner does not need to move the vehicle at the driving position. Therefore, the intelligent traffic system based on the artificial intelligence Internet of things platform, the artificial intelligence digital twin cloud platform, the intelligent pole management system and the wearable virtual/reality interaction device realizes intelligent traffic aiming at the remote control of the unmanned vehicle, improves the operation efficiency of urban traffic and also improves the experience of car owners.
Further, based on the first embodiment of the remote control method for automatic driving based on the artificial intelligence internet of things platform, the second embodiment of the remote control method for automatic driving based on the artificial intelligence internet of things platform is provided.
The present embodiment is different from the first embodiment in that, in the present embodiment, in the step S30, the step of "controlling the unmanned vehicle by the real-time control instruction" includes:
step S301, sending the real-time control instruction to the artificial intelligence Internet of things platform, analyzing the real-time control instruction through the artificial intelligence Internet of things platform, and performing remote mobile control on the unmanned vehicle according to the analyzed real-time control instruction.
After the terminal equipment acquires the real-time control instruction triggered by the vehicle owner through the wearable virtual/real interaction equipment, the real-time control instruction is sent to the artificial intelligence Internet of things platform in a wireless transmission mode through the wearable virtual/real interaction equipment, the real-time control instruction is analyzed by the artificial intelligence Internet of things platform, the analyzed real-time control instruction can control a braking system of the vehicle, and then the remote control of the vehicle is realized.
It should be noted that, in this embodiment, when the vehicle owner receives a real-time control instruction triggered by the wearable virtual/real interaction device, the real-time control instruction is actually based on an electrical signal generated by visual induction, and therefore the real-time control instruction needs to be analyzed by the artificial intelligence internet of things platform to obtain a signal capable of controlling the brake motor driver of the vehicle.
Further, after the step S301 of "performing remote movement control of the unmanned vehicle according to the analyzed real-time control command", the method further includes:
step S302, acquiring position information of the moved unmanned vehicle, and judging whether the unmanned vehicle is in a preset target position according to the position information;
and step S303, if not, transmitting the position information back to the wearable virtual/reality interaction device, so that the vehicle owner can remotely move and control the unmanned vehicle again based on the position information until the unmanned vehicle reaches the preset target position.
It should be noted that, in this embodiment, since an error may occur when the vehicle owner performs remote control on the vehicle, after performing remote mobile control on the vehicle through the wearable virtual/real interaction device each time, the current information of the vehicle needs to be collected again through the vehicle-mounted collection module, so as to ensure that the vehicle is in the preset target position.
Specifically, for example, after the vehicle is remotely moved once, the current position information of the vehicle is obtained again through the image acquisition module, and then the current position information of the vehicle is compared with the preset target position, so as to determine whether the vehicle is located at the preset target position. If the situation that the vehicle is still not located at the preset target position currently is judged, the current position information of the vehicle is sent to the artificial intelligent digital twin cloud platform through the artificial intelligent Internet of things platform to be modeled to obtain a digital model, the digital model corresponding to the current position information of the vehicle is sent to the wearable virtual/real interaction equipment through the artificial intelligent digital twin cloud platform to be displayed, so that the vehicle owner can obtain the current state of the vehicle through the wearable virtual/real interaction equipment, and then the vehicle is moved again based on the current state of the vehicle until the vehicle is moved to the preset target position.
Further, in the step S20, the "obtaining the real-time control instruction through the wearable virtual/real-world interactive device" may include:
step S201, performing visual stimulation on the vehicle owner through the induced pattern in the wearable virtual/reality interaction device to obtain a real-time control instruction.
It should be noted that, in this embodiment, the wearable virtual/reality interaction device is configured with a visual interaction interface, in which a digital model corresponding to vehicle information can be displayed, and also can be displayed in a 3D holographic image or a three-dimensional manner, a vehicle owner can browse real-time information of a vehicle in the visual interface, and the vehicle owner can also trigger a real-time control instruction through the visual interface, so as to implement remote movement of the vehicle.
Specifically, for example, in a visual interface of the wearable virtual/reality interaction device, a stimulation module in the visual interface can perform visual stimulation on a vehicle owner, the brain occipital lobe visual area generates an electroencephalogram signal response related to stimulation frequency when the vehicle owner receives graphic flicker stimulation with a certain frequency, the electroencephalogram signal is collected to perform feature extraction and analysis so as to identify the intention of the vehicle owner, and a real-time control instruction triggered by the vehicle owner is obtained, so that the vehicle is remotely moved according to the real-time control instruction.
Further, the wearable virtual/reality interaction device includes: a wearable MR device or a wearable AR/VR device.
It should be noted that, in this embodiment, in order to enable the vehicle owner to remotely move the vehicle at any time, the wearable virtual/reality interaction device may be a wearable MR (mixed reality) device or a wearable AR (augmented reality)/VR (virtual reality) device, and specifically, the wearable MR device or the wearable AR/VR device may be integrated into glasses or sunglasses, so that the vehicle owner can remotely move the vehicle at any time through the wearable MR device or the wearable AR/VR device.
In this embodiment, after the terminal device obtains the real-time control instruction triggered by the vehicle owner through the wearable virtual/real interaction device, the real-time control instruction is sent to the artificial intelligence internet of things platform in a wireless transmission mode, and the real-time control instruction is analyzed by the artificial intelligence internet of things platform, so that the analyzed real-time control instruction can control the braking system of the vehicle. After the vehicle is remotely moved once, the current position information of the vehicle is obtained through the image acquisition module again, and then the current position information of the vehicle is compared with a preset target position to judge whether the vehicle is located at the preset target position currently. If the vehicle is judged to be still not at the preset target position currently, the current position information of the vehicle is processed through the artificial intelligence Internet of things platform and the artificial intelligence digital twin cloud platform to obtain a corresponding digital model, the data model is sent to the wearable virtual/reality interaction device through the artificial intelligence digital twin cloud platform to be displayed, so that a vehicle owner can obtain the current position information of the vehicle through the wearable virtual/reality interaction device, and then the vehicle is moved again based on the current position information of the vehicle until the vehicle is moved to the preset target position. Wearable virtual/reality interaction device includes: the wearable MR device or the wearable AR/VR device can be integrated in glasses or sunglasses, so that a vehicle owner can remotely move the vehicle through the wearable MR device or the wearable AR/VR device at any time.
In the invention, the real-time position information of the vehicle sent by the artificial intelligence Internet of things platform is displayed in real time in a visual interface of the wearable MR device or the wearable AR/VR device, so that a vehicle owner can move the vehicle for many times according to the real-time position information of the vehicle until the vehicle is moved to a preset target position. Therefore, the remote moving of the vehicle is realized based on the information interaction among the vehicle, the intelligent pole management system, the artificial intelligent Internet of things platform, the artificial intelligent digital twin cloud platform and the wearable virtual/reality interaction equipment, the running efficiency of urban traffic is improved, and the vehicle owner can carry out emergency vehicle moving operation or vehicle searching operation.
In addition, an embodiment of the present invention further provides a remote control device for automatic driving based on an artificial intelligence internet of things platform, and referring to fig. 3, fig. 3 is a schematic diagram of functional modules of an embodiment of the remote control device for automatic driving based on an artificial intelligence internet of things platform according to the present invention. As shown in fig. 3, the remote control device for automatic driving based on the artificial intelligence internet of things platform of the present invention comprises:
the modeling module 10 is used for acquiring vehicle real-time information detected by the intelligent pole management system, preprocessing the vehicle real-time information through the artificial intelligence internet of things platform to obtain target vehicle information, and modeling the target vehicle information through the artificial intelligence digital twin cloud platform to obtain a corresponding digital model;
The obtaining module 20 is configured to send the digital model to the wearable virtual/reality interaction device for displaying, and obtain a real-time control instruction through the wearable virtual/reality interaction device;
and the control module 30 is configured to control the unmanned vehicle through the real-time control instruction according to the digital model, so as to implement emergency vehicle moving, road condition prejudgment, driving route planning and parking space searching of the unmanned vehicle.
Further, the remote control device for automatic driving based on the artificial intelligence internet of things platform further comprises:
and the connection establishing module is used for establishing connection between the wearable virtual/reality interaction equipment and the artificial intelligence Internet of things platform, and establishing connection between the unmanned vehicle and the intelligent pole management system based on the wearable virtual/reality interaction equipment.
Further, the remote control device for automatic driving based on the artificial intelligence internet of things platform further comprises:
real-time acquisition module for through acquisition module in the unmanned vehicles carries out real-time acquisition to vehicle parameter and vehicle environment and generates vehicle real-time information, and through on-vehicle wireless network module in the unmanned vehicles will vehicle real-time information send to wisdom pole management system, wherein, acquisition module includes: a laser radar module and/or an image acquisition module.
Further, the control module 30 includes
And the remote control unit is used for sending the real-time control instruction to the artificial intelligence Internet of things platform, analyzing the real-time control instruction through the artificial intelligence Internet of things platform, and performing remote mobile control on the unmanned vehicle according to the analyzed real-time control instruction.
Further, the invention relates to a remote control device for automatic driving based on an artificial intelligence internet of things platform, which further comprises:
the judging module is used for acquiring the position information of the moved unmanned vehicle and judging whether the unmanned vehicle is in a preset target position or not according to the position information;
and if not, the sending module is used for sending the position information to the wearable virtual/reality interaction device, so that the vehicle owner can remotely control the unmanned vehicle again based on the position information until the unmanned vehicle reaches the preset target position.
Further, the obtaining module 20 includes
And the visual stimulation unit is used for performing visual stimulation on the vehicle owner through the inducing pattern in the wearable virtual/reality interaction equipment to obtain a real-time control instruction.
Further, the wearable virtual/reality interaction device includes: a wearable MR device or a wearable AR/VR device.
The specific implementation of each functional module of the remote control device for automatic driving based on the artificial intelligence internet of things platform is basically the same as that of each embodiment of the remote control method for automatic driving based on the artificial intelligence internet of things platform, and details are not repeated here.
In addition, an embodiment of the present invention further provides a computer-readable storage medium, where a remote control program for automatic driving based on an artificial intelligence internet of things platform is stored in the computer-readable storage medium, and when the remote control program for automatic driving based on the artificial intelligence internet of things platform is executed by a processor, the steps of the remote control method for automatic driving based on the artificial intelligence internet of things platform as described above are implemented.
In the embodiments of the remote control system for automatic driving based on the artificial intelligence internet of things platform and the computer-readable storage medium of the present invention, reference may be made to the embodiments of the remote control method for automatic driving based on the artificial intelligence internet of things platform of the present invention, and details thereof are not repeated herein.
Furthermore, an embodiment of the present invention also provides a computer program product, which includes a computer program, when the computer program is executed by a processor, the computer program implements the steps of the remote control method for automatic driving based on the artificial intelligence internet of things platform as described in any one of the above embodiments of the remote control method for automatic driving based on the artificial intelligence internet of things platform.
The specific embodiment of the computer program product of the present invention is substantially the same as the above-mentioned embodiments of the remote control method for automatic driving based on the artificial intelligence internet of things platform, and is not described herein again.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element identified by the phrase "comprising an … …" does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element.
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.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention essentially or contributing to the prior art may be embodied in the form of a software product, which is stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) and includes instructions for causing a terminal device (e.g. a smart phone, a personal computer, a server, etc.) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (8)
1. The remote control method for automatic driving based on the artificial intelligence Internet of things platform is applied to a remote control system, and the remote control system comprises: the system comprises an artificial intelligence Internet of things platform, an artificial intelligence digital twin cloud platform, wearable virtual/reality interaction equipment and an intelligent pole management system;
The remote control method for automatic driving based on the artificial intelligence Internet of things platform comprises the following steps:
the real-time information of the vehicle detected by the intelligent pole management system is obtained, the real-time information of the vehicle is preprocessed through the artificial intelligence Internet of things platform to obtain target vehicle information, and modeling is carried out on the target vehicle information through the artificial intelligence digital twin cloud platform to obtain a corresponding digital model;
sending the digital model to the wearable virtual/reality interaction device for displaying, and acquiring a real-time control instruction through the wearable virtual/reality interaction device;
controlling the unmanned vehicle through the real-time control instruction according to the digital model so as to realize emergency vehicle moving, road condition prejudgment, driving route planning and parking space searching of the unmanned vehicle;
the steps of controlling the unmanned vehicle through the real-time control instruction according to the digital model so as to realize emergency vehicle moving, road condition prejudgment, driving route planning and parking space searching of the unmanned vehicle comprise:
sending the real-time control instruction to the artificial intelligence internet of things platform according to the digital model, analyzing the real-time control instruction through the artificial intelligence internet of things platform, sending the analyzed real-time control instruction to the intelligent pole management system, and sending the analyzed real-time control instruction to the unmanned vehicle through the intelligent pole management system so as to carry out remote emergency vehicle moving, road condition prejudgment, driving route planning and parking space searching on the unmanned vehicle;
Before the step of obtaining the real-time information of the vehicle detected by the intelligent pole management system, the method further comprises the following steps:
sending a connection instruction triggered by a vehicle owner through wearable virtual/reality interaction equipment, sending the connection instruction to an artificial intelligence Internet of things platform through wearable virtual/reality interaction equipment, so as to establish the artificial intelligence Internet of things platform with the connection of the wearable virtual/reality interaction equipment according to the connection instruction, sending the connection instruction to the intelligent pole management system through the artificial intelligence Internet of things platform, and sending the connection instruction to the unmanned vehicle through a 5G base station module in the intelligent pole management system, so as to establish the connection between the unmanned vehicle and the intelligent pole management system closest to the distance based on the connection instruction.
2. The remote control method for automatic driving based on artificial intelligence internet of things platform as claimed in claim 1, further comprising, before said step of obtaining real-time information of vehicle transmitted through said smart bar management system:
through collection module in the unmanned vehicle carries out real-time collection to vehicle parameter and vehicle environment and generates vehicle real-time information, and pass through on-vehicle wireless network module in the unmanned vehicle will vehicle real-time information send to wisdom pole management system, wherein, collection module includes: the system comprises a laser radar module and/or an image acquisition module.
3. The method for remote control of autonomous driving based on artificial intelligence internet of things platform of claim 1, wherein after the step of controlling the unmanned vehicle by the real-time control command according to the digital model, further comprising:
acquiring position information of the moved unmanned vehicle, and judging whether the unmanned vehicle is at a preset target position according to the position information;
if not, the position information is sent to the wearable virtual/reality interaction device, so that the vehicle owner can remotely control the unmanned vehicle again based on the position information until the unmanned vehicle reaches the preset target position.
4. The remote control method for automatic driving based on the artificial intelligence internet of things platform according to claim 1, wherein the step of obtaining the real-time control instruction through the wearable virtual/real interaction device comprises:
and performing visual stimulation on the vehicle owner through the inducing pattern in the wearable virtual/reality interaction equipment to obtain a real-time control instruction.
5. The remote control method for autonomous driving based on artificial intelligence internet of things platform of claim 1, wherein the wearable virtual/reality interactive device comprises: a wearable MR device or a wearable AR/VR device.
6. Remote control device based on artificial intelligence thing networking platform is used for autopilot, its characterized in that, remote control device is applied to remote control system, remote control system includes: the system comprises an artificial intelligence Internet of things platform, an artificial intelligence digital twin cloud platform, wearable virtual/reality interaction equipment and an intelligent pole management system;
the remote control apparatus includes:
the modeling module is used for acquiring vehicle real-time information detected by the intelligent pole management system, preprocessing the vehicle real-time information through the artificial intelligence Internet of things platform to obtain target vehicle information, and modeling the target vehicle information through the artificial intelligence digital twin cloud platform to obtain a corresponding digital model;
the acquisition module is used for sending the digital model to the wearable virtual/reality interaction equipment for displaying, and acquiring a real-time control instruction through the wearable virtual/reality interaction equipment;
the control module is used for controlling the unmanned vehicle through the real-time control instruction according to the digital model so as to realize emergency vehicle moving, road condition prejudgment, driving route planning and parking space searching of the unmanned vehicle;
The control module includes:
the control unit is used for sending the real-time control instruction to the artificial intelligence internet of things platform according to the digital model, analyzing the real-time control instruction through the artificial intelligence internet of things platform, sending the analyzed real-time control instruction to the intelligent pole management system, and sending the analyzed real-time control instruction to the unmanned vehicle through the intelligent pole management system so as to carry out remote emergency vehicle moving, road condition prejudgment, driving route planning and parking space searching on the unmanned vehicle;
the remote control device further comprises:
the connection module is used for sending a connection instruction triggered by a vehicle owner through the wearable virtual/real interactive device, and sending the connection instruction to the artificial intelligence Internet of things platform through the wearable virtual/real interactive device, so as to establish the artificial intelligence Internet of things platform and the connection of the wearable virtual/real interactive device, and simultaneously sending the connection instruction to the intelligent pole management system through the artificial intelligence Internet of things platform, and pass through a 5G base station module in the intelligent pole management system sends the connection instruction to the unmanned vehicle, so as to establish connection between the unmanned vehicle and the intelligent pole management system closest to the distance based on the connection instruction.
7. A terminal device, comprising a memory, a processor and an artificial intelligence internet of things platform based remote control program for automatic driving stored on the memory and operable on the processor, wherein the artificial intelligence internet of things platform based remote control program for automatic driving realizes the steps of the artificial intelligence internet of things platform based remote control method for automatic driving according to any one of claims 1 to 5 when executed by the processor.
8. A computer-readable storage medium, wherein the computer-readable storage medium stores thereon a remote control program for automatic driving based on an artificial intelligence internet of things platform, and the remote control program for automatic driving based on an artificial intelligence internet of things platform, when being executed by a processor, realizes the steps of the remote control method for automatic driving based on an artificial intelligence internet of things platform according to any one of claims 1 to 5.
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| PCT/CN2023/074475 WO2023151522A1 (en) | 2022-02-10 | 2023-02-03 | Artificial intelligence internet of things platform-based remote control method for automatic driving |
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