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AutoCore SDV Project

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For business and partnership, please visit our website: www.autocore.ai.

Table of Contents

  1. Overview
  2. Quick Start Guide

Overview

SDV (Software Defined Vehicle) project is a cooperative project between Autocore and Futurewei, which aims at providing the technology-consulting services by means of this 100 percent open source software stack with reference design for SDVs. Cloud-Edge service is also integrated as a part of this project to extend the V2X capabilities.

The SDV software stack is based on open source Autoware/ROS2/DDS and Zenoh, where DDS/Zenoh act as the E2E Vehicle-Edge-Cloud middleware layer for the SDV platform. Thru the integration with Futurewei’ s open source KubeEdge project, the SDV platform will leverage Cloud Native Ecosystem tools to provide management, monitoring and software LCM (Life-Cycle-Management) functions.

The system architecture of SDV platform project is shown in the figure below:

Architecture

The software modules in host container runtime are as follows:

And the PCU Container runtime acts as the Domain controller in vehicle with the following software modules:

Quick Start Guide

Hardware requirement

  • Host:

    • Host PC:
      • CPU: x86_64 4 Core or above
      • RAM: 8G+
      • Disk: 30G+ free space
      • OS: Ubuntu 18.04+
      • cable Ethernet
  • For each Worker (default sets 2 workers in cluster):

    • AutoCore PCU

      • Flash images from Release for k8s install

      • cable Ethernet

        OR

    • Worker PC (Needs when you don't have AutoCore PCU):

      • CPU: x86_64 8 Core or above
      • RAM: 8G+
      • Disk: 30G+ free space
      • OS: Ubuntu 18.04+
      • cable Ethernet

Environment setup

  1. Host PC:
  • $ source Utils/setup/k8s/control-plane/setup.bash
    Concole will output the information like kubeadm join xxx, please use this information for clients to join in later steps.
  1. AutoCore PCU OR Worker PC:
  • $ source Utils/setup/k8s/worker/setup.bash
  • $ sudo kubeadm join xxx
    Please find the xxx in the concole output of Host PC as described in step 1.
  1. Back to Host PC
  • For each worker node, label them:
    $ kubectl label node <worker_node_name> app=autoware

Deploy workloads with config file

Default configs 2 workers in cluster, and if you have two works hardware, just run the default command:

$ kubectl apply -f https://raw.githubusercontent.com/autocore-ai/SDV/develop/sdv_demo.yaml

And if you have other custom deployment, Just download sdv_demo.yaml and fix the replicas: 2 to your worker count N:

spec:
- replicas: 2
+ replicas: N
  selector:

then use this config file:

$ kubectl apply -f sdv_demo.yaml

Use CloudViewer to display scene and send commands.

Open CloudViewer with Chromium based browser

  • Config IP Address to Host PC IP (defaults 127.0.0.1)

  • Move viewer with key WSAD and mouse midde and right key.

  • Click on vehicle and traffic light to inspect and send commands.

Video tutorial

SDV demo on multi AutoCore PCUs

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