autowarefoundation/autoware
Autoware
Autoware is an open-source autonomous driving software platform built on the robotics middleware standard. It provides a comprehensive stack for managing perception, planning, and control, enabling the development and deployment of full-stack autonomous driving software on commercial transport hardware.
The platform utilizes a component-based modular architecture that organizes driving functions into isolated, interchangeable nodes. This design is supported by a hardware-abstraction layer and plugin-based sensor integration, which allow the software to interface with diverse hardware configurations and vehicle platforms without requiring modifications to the core driving logic.
The system coordinates complex driving pipelines through graph-based task orchestration and middleware-based message passing, ensuring real-time data exchange and time-synchronized processing across the vehicle. It includes specialized tools for robotics perception optimization and navigation, allowing for high-performance environmental awareness and decision-making even on hardware with limited computing resources.
Features
- Autonomous Driving Stacks - Serves as an open-source software platform for autonomous vehicles built on the robotics middleware standard.
- Robotics Middleware - Connects diverse sensor hardware and control systems into a unified software ecosystem for reliable navigation.
- Hardware Abstraction Layers - Standardizes interfaces between high-level driving logic and low-level vehicle sensors or actuators to allow platform portability.
- Autonomous Driving Modules - Organizes driving functions into isolated, interchangeable software nodes for independent development and deployment.
- Navigation Algorithms - Implements algorithms and tools for path planning and vehicle localization on commercial transport hardware.
- Publish-Subscribe Messaging - Enables real-time data exchange across the vehicle system using a publish-subscribe messaging pattern.
- Graph-Based Workflow Orchestrators - Manages complex driving pipelines by defining dependencies between perception, planning, and control nodes in a directed graph.
- Sensor Processing - Processes real-time environmental sensor data to ensure high-performance navigation and awareness.
- Sensor Plugin Systems - Supports diverse hardware configurations by dynamically loading sensor drivers and calibration parameters.
- Model Performance Optimization - Optimizes environmental perception models to ensure high performance on hardware with limited computing resources.
- Time Synchronization - Maintains precise clock alignment across sensor streams to ensure consistent environmental perception.
