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    • Home
      • Vision, Mission, and Core Values
      • Roadmap
    • Installation
        • Open AD Kit: Containerized workloads for Autoware
        • Source installation
      • Related tools
      • Additional settings for developers
        • Console settings for ROS 2
        • Network configuration
          • DDS settings for ROS 2 and Autoware
          • Zenoh settings for ROS 2 and Autoware
          • Enable multicast on lo
          • Communicating across multiple computers with CycloneDDS
    • Demos
        • AWSIM Full Demo
        • AWSIM with Autoware Core Demo
        • MORAI Sim: Drive
        • CARLA simulator
        • PanoSim simulator demo
      • Planning simulation
        • Lane driving scenario
        • Parking scenario
        • Pull out and pull over scenario
        • Lane change scenario
        • Placing dummy objects
        • Avoidance scenario
        • Traffic light recognition simulation
        • Driving through a crosswalk
        • Planning simulator demo with Autoware Launch GUI
      • Rosbag replay simulation
          • Installation
          • Scenario test simulation
          • Random test simulation
        • Driving Log Replayer
    • Tutorials
        • Overview
          • Creating Autoware repositories
        • 2. Creating vehicle and sensor model
          • Creating sensor model
          • Creating individual params
          • Creating vehicle model
          • Calibrating sensors
            • Starting with TIER IV's CalibrationTools
            • Extrinsic manual calibration
            • Lidar-lidar calibration
            • Ground plane-lidar calibration
            • Intrinsic camera calibration
            • Lidar-camera calibration
            • Lidar-IMU calibration
          • Vehicle interface overview
          • Creating vehicle interface
          • Ackermann kinematic model
          • Customizing for differential drive vehicle
        • 4. Creating maps
          • Open-source SLAM algorithms
            • FAST-LIO-LC
            • FAST_LIO_SLAM
            • FD-SLAM
            • hdl_graph_slam
            • IA_LIO_SAM
            • iscloam
            • LeGO-LOAM-BOR
            • LIO-SAM
            • Optimized-SC-F-LOAM
            • SC-A-LOAM
            • SC-LeGO-LOAM
            • SLAM Algorithms Comparison
          • Converting UTM map to MGRS map
          • Pointcloud map preprocessing
          • Creating a vector map
            • Lanelet2
            • Crosswalk
            • Stop line
            • Traffic light
            • Speed bump
            • Detection area
        • 5. Launch Autoware
          • Launch vehicle
          • Launch system
          • Launch map
          • Launch sensing
          • Launch localization
            • Eagleye
          • Launch perception
          • Launch planning
          • Launch control
          • Sample tuning for campus environment
            • Tuning localization
            • Tuning perception
            • Tuning planning
            • Evaluating the controller performance
            • Evaluating real-time performance
        • 7. AWSIM Integration
          • Integrating cameras
        • Training and Deploying Models
        • Add a custom ROS message
        • Advanced usage of colcon
        • An example procedure for adding and evaluating a new node
        • Applying Clang-Tidy to ROS packages
        • Debug Autoware
        • Defining temporal performance metrics on components
        • Determining component dependencies
        • Fixing dependent package versions
        • Lane Detection Methods
        • Planning Evaluation Using Scenarios
        • Reducing start delays on real vehicles
        • Running Autoware without CUDA
        • Using divided pointcloud map
      • Concepts
      • Architecture 1.0
        • Node diagram
          • Sensing
              • GNSS/INS data pre-processing design
              • Image pre-processing design
              • Point cloud pre-processing design
              • Ultrasonics data pre-processing design
                • Radar objects data pre-processing design
                • Radar pointcloud data pre-processing design
                  • Data message for radars
                  • Device driver for radars
          • Map
              • Vector map requirements overview
                • Category area
                • Category crosswalk
                • Category intersection
                • Category lane
                • Category others
                • Category stop line
                • Category traffic light
          • Localization
          • Perception
            • Perception Component Reference Implementation Design
                • Radar faraway dynamic objects detection with radar objects
                • Radar based 3D detector
          • Planning
          • Control
          • Vehicle
        • Interfaces
          • AD API
            • Release notes
            • List
            • Types
              • Control
              • Cooperation
              • Diagnostics
              • Fail-safe
              • Heartbeat
              • Interface
              • Localization
              • Manual control
              • Motion
              • Operation mode
              • Perception
              • Planning factors
              • Routing
              • Vehicle doors
              • Vehicle status
          • Components
            • Planning
            • Control
            • Localization
            • Map
            • Sensing
            • Perception
            • Vehicle Interface
            • Vehicle dimensions
      • Architecture 2.0
        • Roadmap
          • Autonomous Driving Stack Architecture
          • Detailed Architectural Interface
          • Development Roadmap
          • Neural World Simulation
          • Assessment of Safety and Benchmarks
          • Data, MLOps and Training
      • Versioning & Repositories
        • Repository structure
        • Versioning & repositories
        • Release process
      • Autoware system capabilities
    • Reference design
      • Reference HW
        • AD Computers
        • LIDARs
        • RADARs
        • CAMERAs
        • Thermal CAMERAs
        • IMU, AHRS & GNSS/INS
        • Vehicle Drive By Wire Suppliers
        • Vehicle Platform Suppliers
        • Remote Drive
        • Drivers List
        • AD Sensor Kit Suppliers
      • Metrics for meta-info and tech-info charts
      • ITRI Bus
    • Simulation & Evaluation
          • Urban environment evaluation
        • Compatibility test
    • Contributing
      • Open source philosophy
      • License
      • Coding guidelines
          • C++
          • Python
          • Shell scripts
          • Markdown
          • CMake
          • package.xml
          • Docker
          • GitHub Actions
          • Class design
          • Console logging
          • Coordinate system
          • Directory structure
          • Launch files
          • Message guidelines
          • Parameters
          • Task scheduling
          • Topic namespaces
          • Topic message handling
            • [supplement] Obtain a received message through intra-process communication
            • [supplement] Use rclcpp::WaitSet
      • Testing guidelines
        • Unit testing
        • Integration testing
      • Documentation guidelines
      • Pull request guidelines
        • AI PR Review
        • CI checks
        • Code owners
        • Commit guidelines
        • Review guidelines
        • Review tips
      • Discussion guidelines
    • Datasets
      • Data Anonymization
      • Support
        • Support guidelines
        • Troubleshooting
          • Performance Troubleshooting
        • Docs guide
      • Competitions

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