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and hardware specifications:\n\nHardware Requirements\n-\nCPU: Multi-core processor (4 cores or more recommended).\n\nRAM: At least 16 GB of RAM.\n\nStorage: Minimum of 100 GB of disk space.\n\nGPU: A dedicated GPU (NVIDIA recommended) for tasks involving perception and deep learning.\n\nSoftware Requirements\n-\nOperating System: Ubuntu 20.04 or later.\n\nROS 2: ROS 2 Humble Hawksbill or later.\n\nPCL (Point Cloud Library): For processing point cloud data.\n\nOpenCV: For computer vision tasks.\n\nCUDA: If using an NVIDIA GPU, CUDA is required for GPU acceleration.\n\nDocker: For containerized environments.\n\nColcon: For building ROS 2 workspaces.\n##video\n\n\u003ciframe src=\"https://www.linkedin.com/embed/feed/update/urn:li:ugcPost:7271894617732640768\" height=\"1823\" width=\"504\" frameborder=\"0\" allowfullscreen=\"\" title=\"Embedded post\"\u003e\u003c/iframe\u003e\n\nStep-by-Step Installation Guide\n-\nStep 1: Install Ubuntu\n-\nDownload the Ubuntu 20.04 ISO from the official website.\n\nCreate a bootable USB drive using tools like Rufus or Etcher.\n\nBoot from the USB drive and follow the installation instructions.\n\nStep 2: Install ROS 2\n-\nSet up the ROS 2 repository:\n\nsh\nsudo apt update \u0026\u0026 sudo apt install curl gnupg2 lsb-release\ncurl -sSL https://raw.githubusercontent.com/ros/rosdistro/master/ros.asc | sudo apt-key add -\nsudo sh -c 'echo \"deb http://packages.ros.org/ros2/ubuntu $(lsb_release -cs) main\" \u003e /etc/apt/sources.list.d/ros2-latest.list'\nInstall ROS 2 Humble:\n\nsh\nsudo apt update\nsudo apt install ros-humble-desktop\nSource the ROS 2 setup file:\n\nsh\necho \"source /opt/ros/humble/setup.bash\" \u003e\u003e ~/.bashrc\nsource ~/.bashrc\n\nStep 3: Install Dependencies\n-\nInstall PCL and OpenCV:\n\nsh\nsudo apt install libpcl-dev libopencv-dev\nInstall CUDA (if using an NVIDIA GPU): Follow the instructions on the NVIDIA CUDA Toolkit website.\n\nStep 4: Install Docker\n-\nInstall Docker:\n\nsh\nsudo apt update\nsudo apt install docker.io\nsudo systemctl start docker\nsudo systemctl enable docker\nAdd your user to the Docker group:\n\nsh\nsudo usermod -aG docker $USER\nStep 5: Install Colcon\n-\nInstall Colcon:\n\nsh\nsudo apt install python3-colcon-common-extensions\n\nStep 6: Clone and Build Autoware\n-\nCreate a workspace directory:\n\nsh\nmkdir -p ~/autoware/src\ncd ~/autoware/src\nClone the Autoware repository:\n\nsh\ngit clone https://github.com/autowarefoundation/autoware.universe.git\nInstall dependencies using rosdep:\n\nsh\ncd ~/autoware\nrosdep update\nrosdep install --from-paths src --ignore-src -r -y\nBuild the workspace:\n\nsh\ncolcon build --symlink-install --cmake-args -DCMAKE_BUILD_TYPE=RelWithDebInfo\nStep 7: Source the Workspace\n-\nSource the setup file:\n\nsh\nsource install/setup.bash\nStep 8: Run Autoware\n-\nLaunch Autoware:\n\nsh\nros2 launch autoware_launch planning_simulator.launch.xml map_path:=$HOME/autoware_map/sample-map-planning vehicle_model:=sample_vehicle sensor_model:=sample_sensor_kit\nBy 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 ; \n\nmailto: dagmazen@gmail.com\n-\n\nNote : you must have good internet connection to install this software with out any issue . \n-\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmazen-daghari%2Fautonomous-car","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmazen-daghari%2Fautonomous-car","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmazen-daghari%2Fautonomous-car/lists"}