LG Silicon Valley Lab Apollo 5.0 Fork

This repository is a fork of Apollo maintained by the LG Electronics Silicon Valley Lab which has modified and configured to facilitate use with LG's Automotive Simulator.

The software and source code in this repository are intended only for use with LG Automotive Simulator and should not be used in a real vehicle.

Table of Contents

1. Getting Started
2. Prerequisites
3. Setup
   • Docker
   • Cloning the Repository
   • Building Apollo and Bridge
4. Launching Apollo Alongside the Simulator

Getting Started

The guide outlines the steps required to setup Apollo for use with the LG Automotive Simulator. If you have not already set up the simulator, please do so first by following the instructions here.

Prerequisites

• Linux operating system (preferably Ubuntu 14.04 or later)
• Nvidia graphics card (required for Perception)
  • Nvidia proprietary driver must be installed
  • The current version of Apollo does not support Volta and Turing architectures (this includes Titan V and RTX 2080 GPUs).

Setup

Docker

Apollo is designed to run out of docker containers. The image will mount this repository as a volume so the image will not need to be rebuilt each time a modification is made.

Installing Docker CE

To install Docker CE please refer to the official documentation. We also suggest following through with the post installation steps.

Installing Nvidia Docker

Before installing nvidia-docker make sure that you have an appropriate Nvidia driver installed. To test if nvidia drivers are properly installed enter nvidia-smi in a terminal. If the drivers are installed properly an output similar to the following should appear.

    +-----------------------------------------------------------------------------+
    | NVIDIA-SMI 390.87                 Driver Version: 390.87                    |
    |-------------------------------+----------------------+----------------------+
    | GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
    | Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
    |===============================+======================+======================|
    |   0  GeForce GTX 108...  Off  | 00000000:65:00.0  On |                  N/A |
    |  0%   59C    P5    22W / 250W |   1490MiB / 11175MiB |      4%      Default |
    +-------------------------------+----------------------+----------------------+
                                                                                
    +-----------------------------------------------------------------------------+
    | Processes:                                                       GPU Memory |
    |  GPU       PID   Type   Process name                             Usage      |
    |=============================================================================|
    |    0      1187      G   /usr/lib/xorg/Xorg                           863MiB |
    |    0      3816      G   /usr/bin/gnome-shell                         305MiB |
    |    0      4161      G   ...-token=7171B24E50C2F2C595566F55F1E4D257    68MiB |
    |    0      4480      G   ...quest-channel-token=3330599186510203656   147MiB |
    |    0     17936      G   ...-token=5299D28BAAD9F3087B25687A764851BB   103MiB |
    +-----------------------------------------------------------------------------+

The installation steps for nvidia-docker are available at the official repo.

Pulling LGSVL Docker image

LGSVL maintains a docker image to be used alongside this repository. The docker image is available here.

To pull the image use the following command:

docker pull lgsvl/apollo-5.0

Cloning the Repository

This repository includes a couple of submodules for HD Maps and lgsvl msgs. To make sure that the submodules are also cloned use the following command:

git clone --recurse-submodules https://github.com/lgsvl/apollo-5.0.git

Building Apollo and bridge

Now everything should be in place to build apollo. Apollo must be built from the container. To launch the container navigate to the directory where the repository was cloned and enter:

./docker/scripts/dev_start.sh

This should launch the container and mount a few volumes. It could take a few minutes to pull the latest volumes on the first run.

To get into the container:

./docker/scripts/dev_into.sh

Build Apollo:

./apollo.sh build_gpu

Launching Apollo alongside the simulator

Here we only describe only a simple case of driving from point A to point B using Apollo and the simulator.

To launch apollo, first launch and enter a container as described in the previous steps.

• To start Apollo:

    bootstrap.sh
  

  Note: you may receive errors about dreamview not being build if you do not run the script from the /apollo directory.

• Launch bridge (inside docker container):

    bridge.sh
  

• Run the LG SVL Simulator outside of docker. See instructions in the simulator repository

  • Create a simulation with BorregasAve map and the Lincoln2017MKZ (Apollo 5.0) vehicles.
    • Next to the vehicle dropdown, enter the IP of the machine running Apollo and the port number of the bridge (default is 9090).
      • Example: Apollo is running on the same computer as the simulator. Bridge connection string will be localhost:9090.
  • (optional) Enable Traffic and Pedestrians.

• Open Apollo dreamview in a browser by navigating to: localhost:8888

  • Select the Lincoln2017MKZ vehicle and BorregasAve map in the top right corner.
  • Open the Module Controller tab (on the left bar).
  • Enable Localization, Transform, Perception, Traffic Light, Planning, Prediction, Routing.
  • Navigate to the Route Editing tab.
  • Select a destination by clicking on a lane line and clicking Submit Route.
  • Enable Control in Module Controller tab.
  • Watch the vehicle navigate to the destination.
  • To stop the docker container run the dev_start.sh stop script in apollo/docker/scripts in a new terminal (not in the docker container).