CN114715197A - Automatic driving safety method and system based on digital twin DaaS platform - Google Patents

Automatic driving safety method and system based on digital twin DaaS platform Download PDF

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Publication number
CN114715197A
CN114715197A CN202210649717.3A CN202210649717A CN114715197A CN 114715197 A CN114715197 A CN 114715197A CN 202210649717 A CN202210649717 A CN 202210649717A CN 114715197 A CN114715197 A CN 114715197A
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information
driving
digital twin
passenger
obstacle
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CN114715197B (en
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刘天琼
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Shenzhen BBAI Information Technology Co Ltd
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Shenzhen BBAI Information Technology Co Ltd
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Priority to PCT/CN2023/074633 priority patent/WO2023236562A1/en
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    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W60/00—Drive control systems specially adapted for autonomous road vehicles
    • B60W60/001—Planning or execution of driving tasks
    • B60W60/0011—Planning or execution of driving tasks involving control alternatives for a single driving scenario, e.g. planning several paths to avoid obstacles
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W60/00—Drive control systems specially adapted for autonomous road vehicles
    • B60W60/001—Planning or execution of driving tasks
    • B60W60/0015—Planning or execution of driving tasks specially adapted for safety
    • B60W60/0016—Planning or execution of driving tasks specially adapted for safety of the vehicle or its occupants
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W2556/00—Input parameters relating to data
    • B60W2556/45—External transmission of data to or from the vehicle
    • B60W2556/50—External transmission of data to or from the vehicle of positioning data, e.g. GPS [Global Positioning System] data
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00—Road transport of goods or passengers
    • Y02T10/80—Technologies aiming to reduce greenhouse gasses emissions common to all road transportation technologies
    • Y02T10/84—Data processing systems or methods, management, administration

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  • Engineering & Computer Science (AREA)
  • Automation & Control Theory (AREA)
  • Human Computer Interaction (AREA)
  • Transportation (AREA)
  • Mechanical Engineering (AREA)
  • Traffic Control Systems (AREA)
  • Navigation (AREA)

Abstract

The invention discloses an automatic driving safety method and system based on a digital twin DaaS platform, wherein the method comprises the following steps: acquiring destination information, and generating a dynamic planning route according to the destination information; acquiring current road condition information issued by a satellite system, modifying a dynamic planned route according to the current road condition information, and determining a dynamic target route; acquiring first obstacle information issued by a satellite system, acquiring second obstacle information through an artificial intelligence Internet of things platform, generating a driving instruction according to the first obstacle information, the second obstacle information and a dynamic target route through an artificial intelligence digital twin DaaS platform, and driving according to the driving instruction; according to the method and the device, the vehicle runs according to the first barrier information issued by the satellite system, the second barrier information acquired by the artificial intelligent Internet of things platform and the dynamic target route according to the determined dynamic target route, so that the safety guarantee of automatically driving the vehicle passengers is improved, the traffic jam is reduced, and the efficiency is improved.

Description

Automatic driving safety method and system based on digital twin DaaS platform
Technical Field
The invention relates to the technical field of artificial intelligence, in particular to an automatic driving safety method and system based on a digital twin DaaS platform.
Background
The existing automatic driving automobile obtains the road condition around the automatic driving automobile through a sensor arranged at the periphery so as to drive the automatic driving automobile, but the sensor at the periphery of the automatic driving automobile has certain area limitation, only the road condition around the automatic driving automobile can be obtained to control the automatic driving automobile, and the automatic driving automobile cannot obtain the road condition at a longer distance, so that the time for the automatic driving automobile to react is shorter when an emergency occurs, and the safety of passengers of the automatic driving automobile cannot be well guaranteed, therefore, the safety guarantee of the passengers of the automatic driving automobile is improved, and the problems of traffic jam reduction and efficiency improvement are urgently needed to be solved.
Disclosure of Invention
The invention mainly aims to provide an automatic driving safety method and system based on a digital twin DaaS platform, and aims to solve the problems of how to improve the safety guarantee of passengers of an automatic driving automobile, reduce traffic jam and improve efficiency.
In order to achieve the above object, the present invention provides an automatic driving safety method based on a digital twin DaaS platform, which includes the following steps:
acquiring destination information, and generating a dynamic planning route according to the destination information;
acquiring current road condition information issued by a satellite system, modifying the dynamic planned route according to the current road condition information, and determining a dynamic target route;
acquiring first obstacle information issued by the satellite system, acquiring second obstacle information through an artificial intelligence Internet of things platform, generating a driving instruction according to the first obstacle information, the second obstacle information and the dynamic target route through an artificial intelligence digital twin DaaS platform, and driving according to the driving instruction.
Optionally, the step of obtaining current road condition information issued by a satellite system, modifying the dynamic planned route according to the current road condition information, and determining the dynamic target route includes:
and acquiring current road condition information issued by a satellite system, updating the road condition in the electronic map according to the current road condition information, modifying the dynamic planned route according to the updated electronic map and the destination information, and determining a dynamic target route.
Optionally, generating a driving instruction according to the first obstacle information, the second obstacle information, and the dynamic target route by using an artificial intelligence digital twin DaaS platform, where the driving according to the driving instruction includes:
predicting first movement information of a first obstacle and second movement information of a second obstacle according to the first obstacle information and the second obstacle information through an artificial intelligence digital twin DaaS platform;
and adjusting driving parameters according to the first movement information, the second movement information and the dynamic target route to generate a driving instruction, and driving according to the driving instruction.
Optionally, after the step of generating a driving instruction according to the first obstacle information, the second obstacle information, and the dynamic target route by using an artificial intelligence digital twin DaaS platform, performing driving according to the driving instruction includes:
when a manual driving instruction is received, current psychological state information of a passenger is obtained through virtual reality equipment, and a passenger psychological state report is generated according to the current psychological state information through an artificial intelligence digital twin DaaS platform;
and if the current psychological state of the passenger is determined to accord with the preset driving psychological state according to the passenger psychological state report, switching to manual driving according to the manual driving instruction.
Optionally, after the step of generating a driving instruction according to the first obstacle information, the second obstacle information, and the dynamic target route by using an artificial intelligence digital twin DaaS platform, performing the driving step according to the driving instruction, the method further includes:
according to a preset period, current body state information of a passenger is obtained through virtual reality equipment, and a passenger body state report is generated through an artificial intelligence digital twin DaaS platform according to the current body state information;
and driving according to the passenger body state report, the first obstacle information, the second obstacle information and the dynamic target route.
Optionally, the step of driving according to the passenger body state report, the first obstacle information, the second obstacle information and the dynamic target route comprises:
if the current body state of the passenger needs to be treated according to the passenger body state report, sending a search instruction to the satellite system, and acquiring the optimal treatment place information issued by the satellite system according to the search instruction;
and changing the dynamic target route according to the optimal treatment place information, and driving according to the changed target route, the first obstacle information and the second obstacle information.
Optionally, after the step of driving according to the modified target route, the first obstacle information, and the second obstacle information, the method includes:
and sending alarm information and the optimal treatment place information to a preset alarm person so that the preset alarm person can determine the position of the passenger and respond in time.
In addition, to achieve the above object, the present invention provides an automatic driving safety device based on a digital twin DaaS platform, including:
the acquisition module is used for acquiring destination information and generating a dynamic planning route according to the destination information;
the modification module is used for acquiring current road condition information issued by a satellite system, modifying the dynamic planned route according to the current road condition information and determining a dynamic target route;
the driving module is used for acquiring first obstacle information issued by the satellite system, acquiring second obstacle information through an artificial intelligence Internet of things platform, generating a driving instruction according to the first obstacle information, the second obstacle information and the dynamic target route through an artificial intelligence digital twin DaaS platform, and driving according to the driving instruction
Further, the modification module is further configured to:
and acquiring current road condition information issued by a satellite system, updating the road condition in the electronic map according to the current road condition information, modifying the dynamic planned route according to the updated electronic map and the destination information, and determining a dynamic target route.
Further, the driving module is further configured to:
predicting first movement information of a first obstacle and second movement information of a second obstacle according to the first obstacle information and the second obstacle information through an artificial intelligence digital twin DaaS platform;
and adjusting driving parameters according to the first movement information, the second movement information and the dynamic target route to generate a driving instruction, and driving according to the driving instruction.
Further, the driving module is further configured to:
when a manual driving instruction is received, current psychological state information of a passenger is obtained through virtual reality equipment, and a passenger psychological state report is generated according to the current psychological state information through an artificial intelligence digital twin DaaS platform;
and if the current psychological state of the passenger is determined to be in accordance with the preset driving psychological state according to the passenger psychological state report, switching to manual driving according to the manual driving instruction.
Further, the driving module is further configured to:
according to a preset period, current body state information of a passenger is obtained through virtual reality equipment, and a passenger body state report is generated according to the current body state information through an artificial intelligence digital twin DaaS platform;
and driving according to the passenger body state report, the first obstacle information, the second obstacle information and the dynamic target route.
Further, the driving module is further configured to:
if the current body state of the passenger needs to be treated according to the passenger body state report, sending a search instruction to the satellite system, and acquiring the optimal treatment place information issued by the satellite system according to the search instruction;
and changing the dynamic target route according to the optimal treatment place information, and driving according to the changed target route, the first obstacle information and the second obstacle information.
Further, the driving module is further configured to:
and sending alarm information and the optimal treatment place information to a preset alarm person so that the preset alarm person determines the position of the passenger and responds in time.
In addition, to achieve the above object, the present invention provides an automatic driving safety system based on a digital twin DaaS platform, including: a memory, a processor, and an autopilot program stored on the memory and executable on the processor, the autopilot program when executed by the processor implementing the steps of the digital twin DaaS platform based autopilot safety method as described above.
In addition, to achieve the above object, the present invention also provides a computer readable storage medium having stored thereon an automatic driving program, which when executed by a processor, implements the steps of the digital twin DaaS platform based automatic driving safety method as described above.
The automatic driving safety method based on the digital twin DaaS platform, provided by the invention, comprises the steps of obtaining destination information and generating a dynamic planning route according to the destination information; acquiring current road condition information issued by a satellite system, modifying a dynamic planned route according to the current road condition information, and determining a dynamic target route; acquiring first barrier information issued by a satellite system, acquiring second barrier information through an artificial intelligence Internet of things platform, generating a driving instruction according to the first barrier information, the second barrier information and a dynamic target route through an artificial intelligence digital twin DaaS platform, and driving according to the driving instruction; according to the method, the dynamic target route is determined according to destination information and current road condition information issued by a satellite system, then first obstacle information issued by the satellite system at a longer distance is acquired, second obstacle information issued by an artificial intelligent Internet of things platform at a shorter distance is acquired, a driving instruction is generated by the artificial intelligent digital twin DaaS platform according to the first obstacle information, the second obstacle information and the dynamic target route, driving is carried out according to the driving instruction, safety guarantee of passengers who automatically drive automobiles is improved, traffic jam is reduced, and efficiency is improved.
Drawings
FIG. 1 is a schematic diagram of an apparatus architecture of a hardware operating environment according to an embodiment of the present invention;
fig. 2 is a schematic flowchart of a first embodiment of an automatic driving safety method based on a digital twin DaaS 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.
The device of the embodiment of the invention can be a PC or a server device.
As shown in fig. 1, the apparatus may include: a processor 1001, e.g. 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 (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 of the apparatus 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, the memory 1005, which is a type of computer storage medium, may include an operating system, a network communication module, a user interface module, and an autopilot program.
The operating system is a program for managing and controlling the portable storage device and software resources, and supports the running of a network communication module, a user interface module, an automatic driving program and other programs or software; the network communication module is used for managing and controlling the network interface 1002; the user interface module is used to manage and control the user interface 1003.
In the storage device shown in fig. 1, the storage device calls an automatic driving program stored in the memory 1005 through the processor 1001 and performs operations in the embodiments of the digital twin DaaS platform-based automatic driving safety method described below.
Based on the hardware structure, the embodiment of the automatic driving safety method based on the digital twin DaaS platform is provided.
Referring to fig. 2, fig. 2 is a schematic flow chart of a first embodiment of an automatic driving safety method based on a digital twin DaaS platform, the method including:
step S10, acquiring destination information, and generating a dynamic planning route according to the destination information;
step S20, obtaining current road condition information issued by a satellite system, modifying the dynamic planning route according to the current road condition information, and determining a dynamic target route;
step S30, acquiring first obstacle information issued by the satellite system, acquiring second obstacle information through an artificial intelligence Internet of things platform, generating a driving instruction according to the first obstacle information, the second obstacle information and the dynamic target route through an artificial intelligence digital twin DaaS platform, and driving according to the driving instruction.
The automatic driving safety system based on the digital twin DaaS platform is used in an automatic driving safety system based on the digital twin DaaS platform of an automatic driving automobile, and is in communication connection with an artificial intelligence Internet of things platform, the artificial intelligence digital twin DaaS platform and a satellite system; for convenience of description, an automatic driving safety system based on the digital twin DaaS platform is simply referred to as an automatic driving safety system as an example for explanation; the automatic driving safety system acquires destination information input by a passenger when the passenger gets on the vehicle and generates a dynamic planning route according to the destination information; the automatic driving safety system acquires current road condition information issued by the satellite system, updates the road condition in the electronic map according to the current road condition information, modifies the dynamic planning route according to the updated electronic map and the destination information, and determines a dynamic target route; the automatic driving safety system acquires first barrier information issued by a satellite system, acquires second barrier information through acquisition equipment, and predicts first movement information of a first barrier and second movement information of a second barrier according to the first barrier information and the second barrier information through an artificial intelligence digital twin DaaS platform; and adjusting the driving parameters according to the first movement information, the second movement information and the dynamic target route to generate a driving instruction, and driving according to the driving instruction. It should be noted that the artificial intelligence digital twin DaaS platform is a DaaS digital twin platform, and includes a service center and a data center which are connected with each other; the data center station is used for acquiring, calculating, storing and processing data collected in a DaaS mode, and the formed standard data is stored and transmitted to the service center station; the service center platform is used for combining standard data transmitted based on the data center platform with industry application to form a model and a product aiming at the industry application so that a user can quickly package a service product based on the service center platform. The artificial intelligence internet of things platform is an AIOT PaaS internet of things platform, wherein the AIOT PaaS internet of things platform comprises AI edge calculation, a digital chip, edge storage calculation and a module technology, and the obtained data are transmitted by mainly utilizing the artificial intelligence internet of things platform.
The automatic driving safety method in the embodiment acquires destination information and generates a dynamic planning route according to the destination information; acquiring current road condition information issued by a satellite system, modifying a dynamic planned route according to the current road condition information, and determining a dynamic target route; acquiring first obstacle information issued by a satellite system, acquiring second obstacle information through an artificial intelligence Internet of things platform, generating a driving instruction according to the first obstacle information, the second obstacle information and a dynamic target route through an artificial intelligence digital twin DaaS platform, and driving according to the driving instruction; according to the method, the dynamic target route is determined according to destination information and current road condition information issued by a satellite system, then first obstacle information issued by the satellite system at a longer distance is acquired, second obstacle information issued by an artificial intelligent Internet of things platform at a shorter distance is acquired, a driving instruction is generated by the artificial intelligent digital twin DaaS platform according to the first obstacle information, the second obstacle information and the dynamic target route, driving is carried out according to the driving instruction, safety guarantee of passengers who automatically drive automobiles is improved, traffic jam is reduced, and efficiency is improved.
The respective steps will be described in detail below:
step S10, acquiring destination information, and generating a dynamic planning route according to the destination information;
in the embodiment, when detecting that a passenger enters an automatic driving automobile, the automatic driving safety system reminds the passenger to input destination information through voice prompt, acquires the destination information input by the passenger, and generates a dynamic planning route according to current position information and the destination information, and it can be understood that when the passenger needs to enter an automatic driving automobile mode, the automatic driving safety system collects biological information such as face information, fingerprint information, iris information and the like of the passenger, compares the biological information with the biological information stored in advance, and allows the passenger to enter the automatic driving automobile when the collected biological information of the passenger is the same as the biological information stored in advance; when a passenger enters an automatic driving automobile, the automatic driving safety system prompts the passenger to input destination information through a prompt tone such as 'please input destination' and the like, after the destination information input by the passenger is obtained, the automatic driving safety system sends a positioning instruction to a ground receiving station of a satellite system connected with the automatic driving safety system through an artificial intelligence internet of things platform, the ground receiving station receives the positioning instruction and sends the positioning instruction to a satellite of the satellite system, the satellite sends corresponding current position information to the ground receiving station according to the received positioning instruction, the ground receiving station sends the current position information to the automatic driving safety system through the artificial intelligence internet of things platform, and the automatic driving safety system generates a dynamic planning route according to the current position information and the destination information after receiving the current positioning information. It should be noted that the satellite system includes, but is not limited to, a beidou system, a star link system, a GPS system, and the like.
Step S20, obtaining current road condition information issued by a satellite system, modifying the dynamic planning route according to the current road condition information, and determining a dynamic target route;
in this embodiment, after the automatic driving safety system generates the dynamic planned route, the automatic driving safety system can directly drive the automatic driving automobile to run according to the dynamic planned route, and send a road condition acquisition instruction to the satellite system in real time in the running process, when the satellite system receives the road condition acquisition instruction, the satellite system determines the current road condition information outside the sensing area range of the automatic driving automobile according to the road condition acquisition instruction, and sends the current road condition information to the automatic driving safety system, and the automatic driving safety system modifies the dynamic planned route according to the current road condition information and the destination information outside the sensing area range to obtain a dynamic target route; further, after the automatic driving safety system generates a dynamic planned route, a road condition acquisition instruction is directly sent to the satellite system, when the satellite system receives the road condition acquisition instruction, current road condition information outside a sensing area range of the automatic driving automobile is determined according to the road condition acquisition instruction and is sent to the automatic driving safety system, the automatic driving safety system modifies the dynamic planned route according to the current road condition information outside the sensing area range and destination information to obtain a dynamic target route, and the automatic driving safety system drives the automatic driving automobile to run according to the dynamic target route; it can be understood that there are various sensors for sensing peripheral objects in the autonomous driving vehicle, but the sensing area of the sensor is limited, and the current traffic information outside the sensing area needs to be acquired through a satellite system, so that the autonomous driving vehicle can acquire the current traffic information outside the sensing area, and the safety of autonomous driving is improved.
In a feasible embodiment, in the running process of the automatic driving automobile, the obtained current road condition information issued by the satellite system indicates that the congestion occurs two kilometers ahead, at the moment, the automatic driving safety system modifies the dynamically planned route according to the current road condition information and the destination information, bypasses the congested road section ahead to obtain a dynamic target route, and continues to run according to the dynamic target route.
Specifically, step S20 includes:
step a, obtaining current road condition information issued by a satellite system, updating the road condition in the electronic map according to the current road condition information, modifying the dynamic planning route according to the updated electronic map and the destination information, and determining a dynamic target route.
In the step, the automatic driving safety system acquires current road condition information issued by the satellite system, updates the road condition in the electronic map according to the current road condition information, modifies the dynamic planned route according to the updated electronic map and the destination information, and determines a dynamic target route; such as: the corresponding electronic map is stored in the automatic driving safety system, after the dynamic planning route is obtained, the automatic driving automobile is driven to run by combining the dynamic planning route and the electronic map, when the current road condition information issued by the satellite system is obtained, the road condition in the electronic map is updated according to the current road condition information, when the current road condition information is determined to include abnormal road conditions which are not beneficial to the automatic driving automobile to pass through on the dynamic planning route, the dynamic planning route is modified according to the updated electronic map and the destination information, a dynamic target route is obtained, the dynamic target route is a route which bypasses the abnormal road conditions, the automatic driving automobile is prevented from entering a road which has the abnormal road conditions which are not beneficial to the passing through, and the safety of the automatic driving automobile is improved.
Step S30, acquiring first obstacle information issued by the satellite system, acquiring second obstacle information through an artificial intelligence Internet of things platform, generating a driving instruction according to the first obstacle information, the second obstacle information and the dynamic target route through an artificial intelligence digital twin DaaS platform, and driving according to the driving instruction.
In the embodiment, when the automatic driving automobile runs, the automatic driving safety system sends an obstacle obtaining instruction to the satellite system in real time, when the satellite system receives the obstacle obtaining instruction, first obstacle information outside a sensing area range of the automatic driving automobile is determined according to position information of the automatic driving automobile, the first obstacle information is sent to the automatic driving safety system, the automatic driving safety system collects second obstacle information within the sensing area range of the automatic driving automobile through a collecting device on the automatic driving automobile, and the automatic driving automobile is controlled to run according to the first obstacle information, the second obstacle information and the dynamic target route.
Specifically, the step of traveling according to the first obstacle information, the second obstacle information, and the dynamic target route includes:
b, predicting first movement information of a first obstacle and second movement information of a second obstacle according to the first obstacle information and the second obstacle information through an artificial intelligence digital twin DaaS platform;
in this step, the automatic driving safety system predicts first movement information of a first obstacle according to first obstacle information and predicts second movement information of a second obstacle according to second obstacle information through an artificial intelligence digital twin DaaS platform connected with the automatic driving safety system, and it can be understood that the first obstacle and the second obstacle can be pedestrians on a road, vehicles on the road, fixed objects on the road and the like; the first obstacle information and the second obstacle information include a moving speed of the obstacle, a distance of the obstacle from the autonomous vehicle, a type of the obstacle, and the like; the first movement information and the second movement information include a movement route, a movement speed, and the like of the obstacle.
And c, adjusting driving parameters according to the first movement information, the second movement information and the dynamic target route to generate a driving instruction, and driving according to the driving instruction.
In this step, the automatic driving safety system adjusts the driving parameters according to the first movement information, the second movement information and the dynamic target route after determining the first movement information and the second movement information to generate a driving instruction, and drives according to the driving instruction, such as: the automatic driving safety system based on the digital twin DaaS platform adjusts driving parameters such as driving speed, driving lanes and the like of the automatic driving automobile according to the first movement information, the second movement information and the dynamic target route, generates a driving instruction according to the adjusted driving parameters, and drives according to the driving instruction, so that accidents caused by collision with obstacles are avoided.
When a passenger gets on the vehicle, the automatic driving safety system acquires destination information input by the passenger and generates a dynamic planning route according to the destination information; the automatic driving safety system acquires current road condition information issued by the satellite system, updates the road condition in the electronic map according to the current road condition information, modifies the dynamic planning route according to the updated electronic map and the destination information, and determines a dynamic target route; the automatic driving safety system acquires first barrier information issued by a satellite system, acquires second barrier information through acquisition equipment, and predicts first movement information of a first barrier and second movement information of a second barrier according to the first barrier information and the second barrier information through an artificial intelligence digital twin DaaS platform; and adjusting the driving parameters according to the first movement information, the second movement information and the dynamic target route to generate a driving instruction, and driving according to the driving instruction. According to the method, the dynamic target route is determined according to destination information and current road condition information issued by a satellite system, then first obstacle information issued by the satellite system at a longer distance is acquired, second obstacle information issued by an artificial intelligent Internet of things platform at a shorter distance is acquired, a driving instruction is generated by the artificial intelligent digital twin DaaS platform according to the first obstacle information, the second obstacle information and the dynamic target route, driving is carried out according to the driving instruction, safety guarantee of passengers who automatically drive automobiles is improved, traffic jam is reduced, and efficiency is improved.
Further, based on the first embodiment of the automatic driving safety method based on the digital twin DaaS platform, the second embodiment of the automatic driving safety method based on the digital twin DaaS platform is provided.
The second embodiment of the digital twin DaaS platform-based automatic driving safety method of the present invention is different from the first embodiment of the digital twin DaaS platform-based automatic driving safety method in that step S30 is followed by:
step d, when a manual driving instruction is received, current psychological state information of a passenger is obtained through virtual reality equipment, and a passenger psychological state report is generated according to the current psychological state information through an artificial intelligence digital twin DaaS platform;
and e, if the current psychological state of the passenger is determined to accord with the preset driving psychological state according to the passenger psychological state report, switching to manual driving according to the manual driving instruction.
In this embodiment, when receiving a manual driving instruction input by a passenger during the driving process of an autonomous vehicle, the autonomous safety system scans the face of the passenger through a virtual reality device (MR device) to obtain a micro-expression of the face of the passenger, determines current psychological state information of the passenger according to the micro-expression of the face of the passenger, generates a passenger psychological state report according to the current psychological state information through a man-made intelligent digital twin DaaS platform, determines whether the current psychological state of the passenger conforms to a preset driving psychological state according to the passenger psychological state report, switches to manual driving according to the manual driving instruction if the current psychological state of the passenger conforms to the preset driving psychological state according to the passenger psychological state report, and switches to manual driving if the current psychological state of the passenger does not conform to the preset driving psychological state according to the passenger psychological state report, the manual driving instruction is rejected and the automatic driving mode is continued to drive.
The automatic driving safety system of the embodiment avoids the situation that the passenger with the current psychological state not conforming to the preset driving psychological state drives the automatic driving automobile manually by determining the current psychological state of the passenger, and is beneficial to improving the safety guarantee of the passenger of the automatic driving automobile.
Further, based on the first embodiment and the second embodiment of the automatic driving safety method based on the digital twin DaaS platform, the third embodiment of the automatic driving safety method based on the digital twin DaaS platform is provided.
The third embodiment of the present invention is different from the first and second embodiments of the automatic driving safety method based on the digital twin DaaS platform in that the step S30 is followed by the steps of:
step f, according to a preset period, current body state information of a passenger is obtained through virtual reality equipment, and a passenger body state report is generated according to the current body state information through an artificial intelligence digital twin DaaS platform;
and g, driving according to the passenger body state report, the first obstacle information, the second obstacle information and the dynamic target route.
In the embodiment, the automatic driving safety system acquires current body state information of a passenger through virtual reality equipment according to a preset period, and generates a passenger body state report according to the current body state information through an artificial intelligence digital twin DaaS platform; if the automatic driving safety system based on the digital twin DaaS platform determines that the current body state of the passenger needs to be treated according to the passenger body state report, determining the optimal treatment place information, changing the dynamic target route, and driving according to the changed target route, the first obstacle information and the second obstacle information so as to send the passenger to the optimal treatment place; and if the automatic driving safety system determines that the current body state of the passenger does not need treatment according to the passenger body state report, the automatic driving safety system continues to keep the original dynamic target route for driving. When the current body state of the passenger determines that the passenger needs to be treated by recording, the information of the optimal treatment place is determined, and the passenger is sent to the optimal treatment place, so that the passenger can be treated in time, and the life safety of the passenger is further ensured.
Further, after the automatic driving safety system based on the digital twin DaaS platform obtains the current body state information of the passenger through the virtual reality device, the artificial intelligent digital twin DaaS platform obtains the historical body state information of the passenger according to the personal information of the passenger, and the current body state information and the historical body state information of the passenger are combined to generate a passenger body state report, so that the accuracy of the passenger body state report is improved, and the life safety of the passenger is further ensured.
Specifically, the step of driving according to the passenger body state report, the first obstacle information, the second obstacle information and the dynamic target route includes:
step g1, if the current body state of the passenger needs to be treated according to the passenger body state report, sending a search instruction to the satellite system, and acquiring the optimal treatment location information issued by the satellite system according to the search instruction;
in the step, if the automatic driving safety system determines that the current body state of the passenger needs to be treated according to the passenger body state report, a search instruction is sent to the satellite system, and the optimal treatment place information issued by the satellite system according to the search instruction is obtained; such as: and if the automatic driving safety system determines that the current body state of the passenger needs to be treated according to the passenger body state report, a search instruction is sent to the satellite system, the satellite system determines the current position of the automatic driving automobile according to the search instruction, and searches for a hospital closest to the current position of the automatic driving automobile according to the current position of the automatic driving automobile, so that the optimal treatment place information is determined, and the optimal treatment place information is sent to the automatic driving safety system.
And g2, changing the dynamic target route according to the optimal treatment place information, and driving according to the changed target route, the first obstacle information and the second obstacle information.
In this step, the automatic driving safety system determines the optimal treatment point information, and then, based on the optimal treatment point information, the dynamic target route is changed, and the automatic driving automobile is controlled to run according to the changed target route, and in the driving process, the automatic driving safety system sends an obstacle acquisition instruction to the satellite system in real time, when the satellite system receives the obstacle acquisition instruction, determining first obstacle information outside the sensing area range of the autonomous vehicle according to the position information of the autonomous vehicle, and the first barrier information is sent to an automatic driving safety system, the automatic driving safety system collects the second barrier information in the sensing area range of the automatic driving automobile through a collecting device on the automatic driving automobile, and controlling the automatic driving automobile to run according to the first obstacle information, the second obstacle information and the dynamic target route.
Optionally, in another case, after determining the information of the optimal treatment location, the automatic driving safety system controls the automatic driving vehicle to stop to a safe position, acquires the current position information sent by the satellite system, sends the current position information to the optimal treatment location, and treats the passenger by sending another vehicle to the current position from the optimal treatment location.
Further, the step of traveling according to the modified target link, the first obstacle information, and the second obstacle information includes, after the step of traveling:
and h, sending alarm information and the optimal treatment place information to a preset alarm person so that the preset alarm person can determine the position of the passenger and respond in time.
In this step, the automatic driving safety system transmits the warning information and the optimal treatment location information to the preset warning person in the process that the automatic driving automobile sends the passengers to the optimal treatment location, so that the preset warning person determines the positions of the passengers and responds in time to arrive at the optimal treatment location in time.
Furthermore, in the process that the automatic driving automobile sends the passengers to the optimal treatment place, the automatic driving automobile can also give an alarm to the traffic management system, and the dynamic target route going to the optimal treatment place is sent to the traffic management system, so that the traffic management system timely adjusts traffic lights and the like according to the dynamic target route, the automatic driving automobile can send the passengers to the optimal treatment place as soon as possible, and the life safety of the passengers is further ensured.
The automatic driving safety system of the embodiment acquires current body state information of a passenger through virtual reality equipment according to a preset period, and generates a passenger body state report according to the current body state information through an artificial intelligence digital twinning DaaS platform; the automatic driving safety system drives according to the passenger body state report, the first obstacle information, the second obstacle information and the dynamic target route. When the current body state of the passenger determines that the passenger needs the memorable treatment, the information of the optimal treatment place is determined, and the passenger is sent to the optimal treatment place, so that the passenger can be treated in time, and the life safety of the passenger is further ensured.
When the method is specifically implemented, the automatic driving safety system can acquire current road condition information and first obstacle information issued by a satellite system in real time, the first obstacle information is obstacle information which cannot be acquired by a sensor in an automatic driving automobile carrying the automatic driving safety system, the automatic driving safety system simultaneously acquires the obstacle information which can be acquired by the sensor in the automatic driving automobile, namely second obstacle information, through an artificial intelligent digital twin DaaS platform, a driving instruction is generated according to the first obstacle information, the second obstacle information, the current road condition information and destination information input by a passenger, and the automatic driving safety system controls the automatic driving automobile to drive according to the driving instruction, so that the traveling safety of the passenger is guaranteed;
meanwhile, the automatic driving safety system acquires the current psychological state information and the current body state information of the passenger in real time, analyzes the current psychological state information and the current body state information of the passenger, and takes further treatment action when the current psychological state information or the current body state information of the passenger is abnormal, so that the physical and mental safety of the passenger is guaranteed;
therefore, the automatic driving safety system can ensure the traveling safety of the passengers, can also ensure the physical and mental safety of the passengers during traveling, protects the safety of the passengers in an all-around manner, and provides better safety guarantee for the passengers.
The invention also provides an automatic driving safety device based on the digital twin DaaS platform. The invention relates to an automatic driving safety device based on a digital twin DaaS platform, which comprises:
the acquisition module is used for acquiring destination information and generating a dynamic planning route according to the destination information;
the modification module is used for acquiring current road condition information issued by a satellite system, modifying the dynamic planned route according to the current road condition information and determining a dynamic target route;
the driving module is used for acquiring first obstacle information issued by the satellite system, acquiring second obstacle information through an artificial intelligence Internet of things platform, generating a driving instruction according to the first obstacle information, the second obstacle information and the dynamic target route through an artificial intelligence digital twin DaaS platform, and driving according to the driving instruction
Further, the modification module is further configured to:
and acquiring current road condition information issued by a satellite system, updating the road condition in the electronic map according to the current road condition information, modifying the dynamic planned route according to the updated electronic map and the destination information, and determining a dynamic target route.
Further, the driving module is further configured to:
predicting first movement information of a first obstacle and second movement information of a second obstacle through an artificial intelligence digital twin DaaS platform according to the first obstacle information and the second obstacle information;
and adjusting driving parameters according to the first movement information, the second movement information and the dynamic target route to generate a driving instruction, and driving according to the driving instruction.
Further, the driving module is further configured to:
when a manual driving instruction is received, current psychological state information of a passenger is obtained through virtual reality equipment, and a passenger psychological state report is generated according to the current psychological state information through an artificial intelligence digital twin DaaS platform;
and if the current psychological state of the passenger is determined to accord with the preset driving psychological state according to the passenger psychological state report, switching to manual driving according to the manual driving instruction.
Further, the driving module is further configured to:
according to a preset period, current body state information of a passenger is obtained through virtual reality equipment, and a passenger body state report is generated according to the current body state information through an artificial intelligence digital twin DaaS platform;
and driving according to the passenger body state report, the first obstacle information, the second obstacle information and the dynamic target route.
Further, the driving module is further configured to:
if the current body state of the passenger needs to be treated according to the passenger body state report, sending a search instruction to the satellite system, and acquiring the optimal treatment place information issued by the satellite system according to the search instruction;
and changing the dynamic target route according to the optimal treatment place information, and driving according to the changed target route, the first obstacle information and the second obstacle information.
Further, the driving module is further configured to:
and sending alarm information and the optimal treatment place information to a preset alarm person so that the preset alarm person can determine the position of the passenger and respond in time.
The invention further provides an automatic driving safety system based on the digital twin DaaS platform.
The automatic driving safety system based on the digital twin DaaS platform comprises: a memory, a processor, and an autopilot program stored on the memory and executable on the processor, the autopilot program when executed by the processor implementing the steps of the digital twin DaaS platform based autopilot safety method as described above.
The method implemented when the automatic driving program running on the processor is executed may refer to each embodiment of the automatic driving safety method based on the digital twin DaaS platform of the present invention, and details thereof are not repeated herein.
The invention also provides a computer readable storage medium.
The computer readable storage medium has stored thereon an autopilot program that, when executed by a processor, implements the steps of the digital twin DaaS platform based autopilot safety method as described above.
The method implemented when the automatic driving program running on the processor is executed may refer to each embodiment of the automatic driving safety method based on the digital twin DaaS platform of the present invention, and details thereof are not repeated herein.
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 system 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 system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits 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 can be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) as described above and includes instructions for enabling a terminal device (such as a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
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 (10)

1. An automatic driving safety method based on a digital twin DaaS platform is characterized by comprising the following steps:
acquiring destination information, and generating a dynamic planning route according to the destination information;
acquiring current road condition information issued by a satellite system, modifying the dynamic planned route according to the current road condition information, and determining a dynamic target route;
acquiring first obstacle information issued by the satellite system, acquiring second obstacle information through an artificial intelligence Internet of things platform, generating a driving instruction according to the first obstacle information, the second obstacle information and the dynamic target route through an artificial intelligence digital twin DaaS platform, and driving according to the driving instruction.
2. The automatic driving safety method based on the digital twin DaaS platform as claimed in claim 1, wherein the step of obtaining the current road condition information issued by the satellite system, modifying the dynamically planned route according to the current road condition information, and determining the dynamic target route comprises:
and acquiring current road condition information issued by a satellite system, updating the road condition in the electronic map according to the current road condition information, modifying the dynamic planned route according to the updated electronic map and the destination information, and determining a dynamic target route.
3. The automatic driving safety method based on the digital twin DaaS platform according to claim 1, wherein the step of generating a driving instruction according to the first obstacle information, the second obstacle information and the dynamic target route through an artificial intelligence digital twin DaaS platform, and the step of driving according to the driving instruction comprises:
predicting first movement information of a first obstacle and second movement information of a second obstacle according to the first obstacle information and the second obstacle information through an artificial intelligence digital twin DaaS platform;
and adjusting driving parameters according to the first movement information, the second movement information and the dynamic target route to generate a driving instruction, and driving according to the driving instruction.
4. The digital twin DaaS platform based autonomous driving safety method of claim 1, wherein the generating of the driving instruction by the artificial intelligence digital twin DaaS platform based on the first obstacle information, the second obstacle information and the dynamic target route, the driving according to the driving instruction being followed by the step of:
when a manual driving instruction is received, current psychological state information of a passenger is obtained through virtual reality equipment, and a passenger psychological state report is generated according to the current psychological state information through an artificial intelligence digital twin DaaS platform;
and if the current psychological state of the passenger is determined to be in accordance with the preset driving psychological state according to the passenger psychological state report, switching to manual driving according to the manual driving instruction.
5. The automatic driving safety method based on digital twin DaaS platform according to claim 1, wherein the generating of the driving instruction according to the first obstacle information, the second obstacle information and the dynamic target route by the artificial intelligence digital twin DaaS platform, and after the driving step according to the driving instruction, further comprises:
according to a preset period, current body state information of a passenger is obtained through virtual reality equipment, and a passenger body state report is generated according to the current body state information through an artificial intelligence digital twin DaaS platform;
and driving according to the passenger body state report, the first obstacle information, the second obstacle information and the dynamic target route.
6. The digital twin DaaS platform based autonomous driving safety method of claim 5, wherein the step of traveling according to the passenger body status report, the first obstacle information, the second obstacle information, and the dynamic target route comprises:
if the current body state of the passenger needs to be treated according to the passenger body state report, sending a search instruction to the satellite system, and acquiring the optimal treatment place information issued by the satellite system according to the search instruction;
and changing the dynamic target route according to the optimal treatment place information, and driving according to the changed target route, the first obstacle information and the second obstacle information.
7. The digital twin DaaS platform based autonomous driving safety method of claim 6, wherein the step of traveling according to the modified target line, the first obstacle information, and the second obstacle information is followed by:
and sending alarm information and the optimal treatment place information to a preset alarm person so that the preset alarm person can determine the position of the passenger and respond in time.
8. An automatic driving safety device based on a digital twin DaaS platform, characterized in that the automatic driving safety device based on the digital twin DaaS platform comprises:
the acquisition module is used for acquiring destination information and generating a dynamic planning route according to the destination information;
the modification module is used for acquiring current road condition information issued by a satellite system, modifying the dynamic planned route according to the current road condition information and determining a dynamic target route;
and the driving module is used for acquiring first obstacle information issued by the satellite system, acquiring second obstacle information through an artificial intelligence Internet of things platform, generating a driving instruction according to the first obstacle information, the second obstacle information and the dynamic target route through an artificial intelligence digital twin DaaS platform, and driving according to the driving instruction.
9. A digital twin DaaS platform based autopilot safety system, comprising: memory, a processor and an autopilot program stored on the memory and executable on the processor, which when executed by the processor implements the steps of the digital twin DaaS platform based autopilot safety method according to one of claims 1 to 7.
10. A computer readable storage medium, characterized in that the computer readable storage medium has stored thereon an autopilot program, which when executed by a processor implements the steps of the digital twin DaaS platform based autopilot safety method according to one of the claims 1 to 7.
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