Collaborative automatic driving system and method based on multi-channel RDMA and V2X

An automatic driving and road-based technology, which is applied in the field of collaborative automatic driving system based on multi-channel RDMA and V2X, to achieve the effect of enhancing interaction ability, ensuring transmission reliability and real-time performance, and improving safety

Active Publication Date: 2019-02-22
INSPUR GROUP CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Limited by the power consumption and volume of the vehicle itself, the automatic driving control based on a single independent vehicle encounters a bottleneck. V2X technology solves the problem of vehicle coordination to a certain extent. There are higher requirements for computing power, data network bandwidth and transmission reliability

Method used

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  • Collaborative automatic driving system and method based on multi-channel RDMA and V2X
  • Collaborative automatic driving system and method based on multi-channel RDMA and V2X

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Experimental program
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Embodiment 1

[0044] as attached figure 1 As shown, the cloud center collects data from vehicles, personnel, and roadbed side units, and monitors and manages roadbed side resources in a real-time manner; the collected data will be used for model training of automatic driving and big data analysis of intelligent transportation; vehicles, pedestrians, The infrastructure on the roadbed side realizes the network data exchange centered on the roadbed side unit through V2X. The environmental data collected by the sensor and the real-time situation of surrounding vehicles and pedestrians are shared by using RDMA technology. The core computing unit of the vehicle uses the environmental data and the surrounding Based on the driving conditions of the driving vehicles and the characteristics of the regionalization of the road traffic environment, a more efficient automatic driving scheme is adopted, and an automatic driving fleet is selected to follow the car or autonomous automatic driving to improve ...

Embodiment 2

[0048] The method process provided by the present invention will be described in detail below in conjunction with specific embodiments.

[0049] 1. Vehicle autonomous driving

[0050] refer to figure 2 , the automatic driving of the vehicle includes the following steps:

[0051] Step 101, the cloud center gathers a large number of computing resources, uses the collected data to train and optimize the decision-making model of automatic driving and conduct intelligent traffic big data analysis, and feeds back the results to the roadbed side unit and the vehicle;

[0052] Step 102, the cloud center collects data from the roadbed side unit, and maintains two-way communication;

[0053] Step 103, the vehicle enters the area coverage of the subgrade side unit, the two parties complete the communication handshake, and start data communication;

[0054] Step 104, the vehicle collects data through the core sensor, uses a high-precision positioning device to obtain real-time locatio...

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Abstract

The present invention relates to the technical field of cloud computing, RDMA, V2X, cooperative driving and automatic driving and particularly relates to a collaborative automatic driving system and method based on multi-channel RDMA and V2X. According to the system and the method, automatic driving related resources such as a vehicle end, a roadbed side unit, a pedestrian side and a cloud centerare connected through a V2X network, the power consumption and volume limitations of a vehicle body are fully considered, the memory is divided into areas, the efficient memory sharing is achieved, the requirements for computing and network resources is reduced, the interaction ability of all involved parties is enhanced, and the real-time response and processing ability is improved. Through roadbed side broadcast, the network and computing resources are saved. Data packets are sent alternately through multiple networks, the reliable transmission and real-time performance of key data are ensured, the safety of automatic driving is improved, and the efficiency of automatic driving is improved.

Description

technical field [0001] The present invention relates to the fields of cloud computing, RDMA technology, V2X technology, cooperative driving and automatic driving technology, and in particular to a multi-channel RDMA and V2X-based cooperative automatic driving system and method. Background technique [0002] Autonomous driving is the product of the deep integration of the automotive industry with new-generation information technologies such as artificial intelligence, visual computing, Internet of Things, radar, high-precision maps, and high-performance computing. The main direction is to automatically and safely operate motor vehicles without any active human intervention. [0003] V2X is a general term for V2V (Vehicle to Vehicle communication Vehicle to Vehicle), V2I (Vehicle to Infrastructure communication Vehicle to Infrastructure), V2P (Vehicle to Pedestrian), etc. It is equipped with advanced on-board sensors, controllers, actuators and other devices to integrate moder...

Claims

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Application Information

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IPC IPC(8): G08G1/0967
CPCG08G1/096725G08G1/096783
Inventor 孙善宝张桂红于治楼
Owner INSPUR GROUP CO LTD
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