Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/mazen-daghari/autonomous-car

Autonomous car based on autoware
https://github.com/mazen-daghari/autonomous-car

autonomous-driving autoware lidar-slam perception ros2-humble ubuntu

Last synced: 29 days ago
JSON representation

Autonomous car based on autoware

Awesome Lists containing this project

README 

        
# Autonomous-car

Autonomous car based on autoware



Here's a detailed tutorial on how to install Autoware, along with the required software and hardware specifications:



Hardware Requirements

-

CPU: Multi-core processor (4 cores or more recommended).



RAM: At least 16 GB of RAM.



Storage: Minimum of 100 GB of disk space.



GPU: A dedicated GPU (NVIDIA recommended) for tasks involving perception and deep learning.



Software Requirements

-

Operating System: Ubuntu 20.04 or later.



ROS 2: ROS 2 Humble Hawksbill or later.



PCL (Point Cloud Library): For processing point cloud data.



OpenCV: For computer vision tasks.



CUDA: If using an NVIDIA GPU, CUDA is required for GPU acceleration.



Docker: For containerized environments.



Colcon: For building ROS 2 workspaces.

##video



Step-by-Step Installation Guide

-

Step 1: Install Ubuntu

-

Download the Ubuntu 20.04 ISO from the official website.



Create a bootable USB drive using tools like Rufus or Etcher.



Boot from the USB drive and follow the installation instructions.



Step 2: Install ROS 2

-

Set up the ROS 2 repository:



sh

sudo apt update && sudo apt install curl gnupg2 lsb-release

curl -sSL https://raw.githubusercontent.com/ros/rosdistro/master/ros.asc | sudo apt-key add -

sudo sh -c 'echo "deb http://packages.ros.org/ros2/ubuntu $(lsb_release -cs) main" > /etc/apt/sources.list.d/ros2-latest.list'

Install ROS 2 Humble:



sh

sudo apt update

sudo apt install ros-humble-desktop

Source the ROS 2 setup file:



sh

echo "source /opt/ros/humble/setup.bash" >> ~/.bashrc

source ~/.bashrc



Step 3: Install Dependencies

-

Install PCL and OpenCV:



sh

sudo apt install libpcl-dev libopencv-dev

Install CUDA (if using an NVIDIA GPU): Follow the instructions on the NVIDIA CUDA Toolkit website.



Step 4: Install Docker

-

Install Docker:



sh

sudo apt update

sudo apt install docker.io

sudo systemctl start docker

sudo systemctl enable docker

Add your user to the Docker group:



sh

sudo usermod -aG docker $USER

Step 5: Install Colcon

-

Install Colcon:



sh

sudo apt install python3-colcon-common-extensions



Step 6: Clone and Build Autoware

-

Create a workspace directory:



sh

mkdir -p ~/autoware/src

cd ~/autoware/src

Clone the Autoware repository:



sh

git clone https://github.com/autowarefoundation/autoware.universe.git

Install dependencies using rosdep:



sh

cd ~/autoware

rosdep update

rosdep install --from-paths src --ignore-src -r -y

Build the workspace:



sh

colcon build --symlink-install --cmake-args -DCMAKE_BUILD_TYPE=RelWithDebInfo

Step 7: Source the Workspace

-

Source the setup file:



sh

source install/setup.bash

Step 8: Run Autoware

-

Launch Autoware:



sh

ros2 launch autoware_launch planning_simulator.launch.xml map_path:=$HOME/autoware_map/sample-map-planning vehicle_model:=sample_vehicle sensor_model:=sample_sensor_kit

By following these steps, you should be able to install and run Autoware on your system. If you encounter any issues or need further assistance, feel free to ask! You can mail me on ; 



mailto: [email protected]

-



Note : you must have good internet connection to install this software with out any issue . 

-