开源 v2x 车路协同管理平台。基于 v2x 标准接口,运用 5G、AI、MEC 等技术,通过海量路测信息收集、智能融合,构建源码开放、生态兼容、性能优异的基础架构和开放平台——实现智慧的路。
组织介绍

Welcome to OpenV2X's GitHub page!

An open source project for Roadside Open Infrastructure (RSOI) in 5G/6G Cooperative Vehicle Infrastructure System (CVIS)

Mirror from https://github.com/open-v2x

What is OpenV2X?

OpenV2X is committed to providing an open source solution that processes the "roadside" open infrastructure of vehicle-road collaboration through "far-edge" computing power.

In the "cloud-edge-device" three-layer architecture, OpenV2X focuses on the "far edge" (5G/6G base station side edge cloud computing), and does not involve the "near edge" (RSU industrial computer) part.
In the "vehicle-road collaboration" framework, OpenV2X focuses on the "roadside" open infrastructure, and does not involve the "vehicle" part.

OpenV2X provides the following capabilities:

  • Roadside equipment (including RSU, lidar, millimeter-wave radar, signal lights, cameras and so on) management
  • Roadside data collection and analysis
  • Central cloud control platform information summary and display

Why need OpenV2X?

Why do we need a "roadside collaboration" solution with the "vehicle intelligent driving" solution?

Simple analogy: The car can drive in the dark, but it is safer with street lights. OpenV2X plays the role of "street light" in the overall solution of vehicle-road collaboration.

OpenV2X Vision and Goals

The "Vision" of OpenV2X:

  • To improve the state of transportation in real life.
  • Reduce traffic jams and accidents by monitoring and analyzing roadside device data
  • Facing emergencies, accelerating traffic response and rescue capabilities

The "goals" of OpenV2X:

  • A large number of practical and replicable deployment cases
  • Form a profitable, marketable business model (SaaS/Enterprise Edition)
  • Promote the formation of a good software and hardware ecosystem in the industry, adapt to the southbound hardware management interface, provide a unified northbound API, and bring together vehicle-road collaboration algorithms.

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成员(3)
8435184 topshare 1623685242
Kevin Zhang
Tianyu Gao
Wu Wenxiang

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