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Intelligent network connection automobile data interaction method and interaction system

A technology of data interaction and intelligent network, applied in control/adjustment system, motor vehicle, vehicle position/route/height control, etc., can solve problems such as low efficiency, no information return system, and inability to upgrade and optimize the automatic driving system

Pending Publication Date: 2021-06-08
CHINA AUTOMOTIVE TECH & RES CENT +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

On the one hand, in the development process of the automatic driving system, the data collection vehicle is generally only responsible for collecting data, and cannot transmit the information back in real time, so the efficiency is low
On the other hand, mass-produced vehicles generally do not have an information feedback system, and the massive information generated by the vehicle cannot be used to upgrade and optimize the automatic driving system

Method used

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  • Intelligent network connection automobile data interaction method and interaction system
  • Intelligent network connection automobile data interaction method and interaction system
  • Intelligent network connection automobile data interaction method and interaction system

Examples

Experimental program
Comparison scheme
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Embodiment 1

[0045] figure 1 It is a flow chart of a data interaction method for intelligent networked vehicles provided by this embodiment. This embodiment is suitable for data interaction of intelligent networked vehicles, so as to at least improve the automatic driving capability of vehicles. interactive system, which includes scene library, simulation cloud platform and digital twin platform.

[0046] Such as figure 1 As shown, the method includes the following steps:

[0047] S110. The scene library acquires perception information, and then imports the perception information into the simulation cloud platform; the perception information is the road scene collected by the vehicle.

[0048] Wherein, the scene database refers to a database that collects various road scenes. The scene library integrates data cleaning, data labeling, and data analysis tools. Data cleaning includes functions such as denoising, invalid data elimination, and data synchronization.

[0049] The simulation clo...

Embodiment 2

[0063] figure 2 It is a flow chart of a data interaction method for intelligent networked vehicles provided in this embodiment. This embodiment further optimizes S130 in Embodiment 1, see figure 2 , the method includes the following steps:

[0064] S110. The scene library acquires perception information, and then imports the perception information into the simulation cloud platform; the perception information is the road scene collected by the vehicle.

[0065] S120. The simulation cloud platform receives the perception information, and after simulation, sends the simulation result to the digital twin platform.

[0066] S110 and S120 are the same as those in Embodiment 1, and will not be repeated in this embodiment.

[0067] S131. According to vehicle safety, vehicle energy consumption, vehicle comfort, vehicle efficiency, vehicle type, and vehicle usage, respectively calculate a simulation result score and a vehicle decision information score.

[0068] Among them, vehicl...

Embodiment 3

[0085] image 3 It is a flow chart of an intelligent networked vehicle data interaction method provided in this embodiment. This embodiment is a further optimization of Embodiment 2, wherein the interaction system also includes a computing platform, Figure 4 It is a schematic diagram of the interaction between the intelligent networked vehicle data interaction system, the self-driving vehicle or partially self-driving vehicle, and the road test system in the interaction method of this embodiment, Figure 5 It is a schematic diagram of the data flow between the intelligent networked vehicle data interaction system and the self-driving vehicle or partially self-driving vehicle in the interaction method of this embodiment.

[0086] see image 3 , the method includes the following steps:

[0087] S110. The scene library acquires perception information, and then imports the perception information into the simulation cloud platform; the perception information is the road scene co...

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Abstract

The invention relates to an intelligent network connection automobile data interaction method and interaction system. The interaction method is applied to the intelligent network connection automobile data interaction system, which comprises a scene library, a simulation cloud platform and a digital twin platform. The intelligent network connection automobile data interaction method comprises the steps that: the scene library obtains perception information, and then imports the perception information into the simulation cloud platform; the simulation cloud platform receives the perception information, and sends a simulation result to the digital twin platform after simulation; and the digital twin platform compares the simulation result with the vehicle decision information, and optimizes the vehicle automatic driving decision according to the comparison result. According to the interaction method, rapid and effective expansion of the scene library can be realized, and the driving behavior of a driver can be learned, so that a higher-level automatic driving system is trained, and the development efficiency of the automatic driving system is improved; the automatic driving grade of the vehicle can be identified online, an automatic driving system can be monitored in real time, and data support is provided for accident identification; and the traffic flow can be monitored in real time, so that the congestion is reduced.

Description

technical field [0001] The invention relates to the field of intelligent network connection, in particular to an intelligent network connection vehicle data interaction method and an interaction system. Background technique [0002] In the development process of autonomous driving functions, a large number of scenarios need to be verified before vehicle functions are approved, and the mileage-based method can no longer meet the full coverage of functional verification. A large amount of verification work is required for safety verification. In the product development and design stage, it is necessary to ensure the safety of the automatic driving function within the scope of the Operational Design Domain (ODD). Scenario-based autonomous driving safety verification and development methods emerged as the times require. [0003] At present, the development of automatic driving functions is mostly focused on the construction and simulation of the scene library. The scene library...

Claims

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Application Information

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IPC IPC(8): G05D1/02
CPCG05D1/024G05D1/0246G05D1/0257G05D1/0214G05D1/0221G05D1/0276
Inventor 李君峰赵帅杜志彬陈超赵瑞文郑彤曹曼曼国建胜
Owner CHINA AUTOMOTIVE TECH & RES CENT
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