Projects sharing features with 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 configur

PX4-Autopilot is a professional-grade flight control software stack designed for autonomous unmanned vehicles, including multicopters, fixed-wing aircraft, and vertical takeoff and landing platforms. It operates as a modular, real-time framework that decouples flight control logic from hardware drivers through a publish-subscribe middleware architecture. The system utilizes a deterministic microkernel runtime to execute time-critical flight control loops and sensor fusion tasks, ensuring stable navigation and vehicle operation. The platform distinguishes itself through a parameter-driven conf

The Open-Source Rover Platform is a hardware and software framework for building and controlling six-wheel planetary exploration rovers. It provides a six-wheel robot chassis and a modular robotics framework designed for integrating various motors, wheel sizes, and chassis materials. The platform features a six-wheel chassis equipped with a differential pivot suspension and an Ackerman steering mechanism to enable navigation across rugged outdoor terrain. Control is managed through a communication system that connects central processors to hardware via Bluetooth, WiFi, or USB for remote opera

Navigation2 is a ROS 2 navigation framework for autonomous mobile robots. It provides the core identity of a path planner, costmap management system, kinematic motion controller, and behavior tree orchestrator to compute collision-free routes and execute movement commands. The framework is distinguished by its use of behavior trees to coordinate modular task servers, enabling complex navigation routines and autonomous recovery actions. It supports a plugin-based architecture that allows planners and controllers to be swapped at runtime to adapt to different environments. The system covers a

Navigation2 is a navigation stack for ROS 2 designed for autonomous robot navigation. It provides a framework for computing optimal paths from a starting position to a goal while avoiding static and dynamic obstacles. The system utilizes a behavior tree orchestrator to coordinate complex navigation tasks and trigger recovery actions. Its architecture is plugin-based, allowing planners, controllers, and costmap layers to be swapped at runtime without recompiling the core system. The project covers path planning, motion control, and environmental mapping. It generates occupancy grids and costm

PythonRobotics is a comprehensive collection of modular robotics algorithms and educational simulations designed for autonomous navigation, state estimation, and motion control. The project provides a library of standalone implementations for path planning, localization, mapping, and kinematics, serving as a resource for researchers and students to experiment with foundational and advanced robotic theories. The project distinguishes itself through an algorithm-centric design where each module functions as an isolated script, allowing for independent testing and clear pedagogical demonstration

UniAD is a unified deep learning framework for autonomous driving that integrates perception, prediction, and planning into a single end-to-end model. It functions as a neural network architecture that maps raw sensor data directly to driving trajectories and motion plans. This project serves as a research implementation of a planning-oriented approach that jointly trains occupancy, mapping, and object tracking modules. It employs a multi-task perception framework to optimize overall driving performance. The system covers a broad capability surface including end-to-end driving pipelines, veh

Apache Pulsar is a cloud-native message queue and distributed publish-subscribe messaging system. It serves as a multi-tenant event streaming platform designed to route data streams for asynchronous communication between producers and consumers. The system distinguishes itself through geo-replication, synchronizing data across multiple geographic regions to ensure high availability and low latency. It implements a multi-tenant architecture that provides isolation and resource management for millions of independent topics. The platform covers high-throughput data streaming and event-driven da

gfx is a hardware-agnostic graphics API abstraction that translates a unified set of graphics and compute commands into native instructions for multiple GPU drivers. It provides a common interface for cross-platform rendering and general-purpose GPU compute programming. The project features an intermediate-representation shader translation system that converts source code and SPIR-V into target-specific languages. It employs a data-driven reference test framework to verify that graphics output remains consistent across different hardware platforms. Capabilities include parallel command buffe

This is an open-source autonomous driving perception pipeline that processes camera and lidar sensor data to detect, track, and fuse objects in real-world driving environments. The project integrates an end-to-end perception workflow combining sensor calibration, deep learning object detection, Kalman filter tracking, and sensor fusion for robust scene understanding. The pipeline includes camera calibration tools to remove lens distortion from raw images, deep learning model training for object classification and detection, and multi-object tracking using Kalman filters with data association

Highway is a portable C++ library and hardware abstraction layer designed for writing single instruction multiple data (SIMD) code. It provides a unified interface that maps data-parallel logic to various CPU instruction sets, enabling the development of high-performance software that runs across different processor architectures without requiring architecture-specific assembly. The project features a dynamic instruction dispatcher that selects the most efficient CPU instruction set at runtime based on detected hardware. It also supports static target specialization and extensible mechanisms

NATS Server is a high-performance, lightweight messaging system designed for cloud-native applications, edge computing, and distributed microservices. It functions as a distributed publish-subscribe broker that routes messages using hierarchical, dot-separated subject strings, enabling decoupled communication between services without requiring centralized broker lookups. The system supports core messaging patterns including asynchronous publish-subscribe, request-reply, and load-balanced queue processing. The platform distinguishes itself through a decentralized architecture that eliminates t

XUAN is an autonomous vehicle control system that integrates microcontrollers and sensors to manage hardware drivers and AI module communication. It consists of embedded vehicle control firmware, microcontroller hardware designs, and a vehicle chassis CAD model. The project provides the electronic and physical specifications for a bicycle-based vehicle, including PCB schematics and hardware layouts for a controller that manages motor drivers via communication buses and motion sensors. It also includes a set of 3D design files and engineering data for the physical structural frame. The system

This project is a cross-platform graphics and compute framework that provides a unified, hardware-agnostic abstraction layer for rendering and parallel processing. It enables developers to build high-performance applications that execute consistently across diverse operating systems and hardware backends, including Vulkan, Metal, and DirectX. By mapping high-level graphics commands to native APIs, it serves as a portable foundation for both real-time 3D rendering and general-purpose GPU computing. The framework distinguishes itself through a robust architecture that supports both native deskt

TinyGo is a specialized compiler and development toolkit designed to bring the Go programming language to resource-constrained microcontrollers and WebAssembly environments. It provides a bare-metal runtime environment that enables high-level code execution without the need for a traditional operating system, utilizing an LLVM-based backend to generate efficient machine instructions. The project distinguishes itself through aggressive optimization techniques tailored for small hardware, including a static memory allocation strategy and whole-program dead code elimination that significantly re

go-cloud is a toolkit of cloud-agnostic libraries that provide portable Go interfaces for interacting with common cloud services. It enables multi-cloud application development by decoupling business logic from specific provider API implementations. The project utilizes a driver-based system to map generic interface calls to vendor-specific requests. This allows applications to switch between different cloud backends for blob storage, relational databases, and asynchronous publish-subscribe messaging without changing the core application code. Beyond storage and messaging, the toolkit includ

deepstream.io is an open-source realtime server that synchronizes JSON records, events, and remote procedure calls across clients and backend services. It functions as a realtime data sync server, event pub/sub server, record database server, and RPC server, all within a single platform. The server authenticates and authorizes every message using multiple strategies including JWT, HTTP, and file-based credentials, with a declarative permission language controlling access to records, events, and RPCs at a granular level. The platform distinguishes itself through its combination of realtime dat

Cameraview is an Android camera integration library used to embed live camera previews and capture photos or videos within applications. It provides a reusable UI component that manages camera hardware initialization and real-time stream rendering. The library includes a media capture framework to control hardware settings such as focus, flash, and aspect ratios for recording images and video files. The project covers functional domains including Android hardware configuration via layout attributes and the rendering of continuous camera streams for immediate visual feedback.

OpenDBC is a CAN bus interface library and telemetry parser designed to read and write messages to a vehicle network. It functions as an automotive hardware abstraction layer that maps generic control signals to model-specific bus IDs across different vehicle brands, while acting as a control system that converts high-level steering and acceleration requests into raw binary packets for vehicle actuators. The project includes a vehicle network safety gateway that restricts or blocks specific control messages based on the system state to prevent unsafe maneuvers. It provides a standardized way

The Espressif SoC Development Framework is a comprehensive toolset for developing, compiling, and flashing applications targeting Espressif system-on-chips. It serves as an embedded toolchain orchestrator and a hardware abstraction layer that simplifies the control of low-level peripherals, memory mapping, and chip-specific registers. The framework provides a dedicated IoT connectivity stack for implementing Wi-Fi, Bluetooth, Zigbee, and Ethernet communication on microcontrollers. It also includes an embedded real-time operating system integration layer to manage multitasking and scheduling o

MQTTX is a cross-platform MQTT client application designed for testing, debugging, and managing MQTT brokers. It supports both MQTT v3.1.1 and v5.0, enables simultaneous management of multiple broker connections, and provides an interactive chat-style interface for publishing and subscribing with configurable quality of service, payload transformation, and topic visualization. The client can be used as a desktop application, a command-line tool, or a self-hosted web client deployable via Docker. What sets MQTTX apart is its integration of AI-assisted workflows, allowing users to generate MQTT

ggez is a 2D game framework for the Rust programming language. It provides a hardware abstraction layer for accessing keyboard, mouse, sound, and graphics hardware, alongside a dedicated game loop manager that synchronizes input processing, state updates, and frame rendering for real-time applications. The framework includes a hardware-accelerated rendering engine for drawing sprites, shapes, and text using shader programs. It also features a resource management system that uses a filesystem abstraction to load and manage game assets from physical directories or compressed archives. Addition

MediaPipe is a cross-platform machine learning framework designed for building and deploying pipelines that process live and streaming media. It provides a system for connecting processing components into custom machine learning chains to analyze real-time audio and video streams. The framework includes a suite of pre-trained models for tasks such as hand, face, and pose tracking, along with tools for retraining and customizing these models with specific datasets. It also features a dedicated benchmarker for measuring the execution speed and accuracy of machine learning models directly within

Rapier is a cross-platform physics engine and rigid body dynamics solver designed for 2D and 3D simulations. It functions as a collision detection system and a robotics simulation framework, providing a consistent API for calculating physical interactions across different environments. The engine distinguishes itself with specialized robotics capabilities, including a toolkit for importing URDF and STL models to control multibody chains. It supports precise mechanical movement through inverse kinematics calculations and the application of PID controllers for dynamic body control. The simulat

OpenRGB is a centralized software suite for controlling colors and lighting effects across various brands of RGB hardware. It functions as a cross-platform controller and hardware control system that provides a unified interface for managing lighting profiles and effects. The project features an extensible plugin framework and a dedicated plugin interface that allow for the addition of new hardware support and integration features. It includes a network gateway that exposes an API for third-party applications to send lighting commands to connected devices. The system supports multi-computer

SpringCloud-Learning is an educational project that demonstrates how to build microservices using Spring Cloud, covering the core patterns of service discovery, centralized configuration management, and API gateway routing. The project provides hands-on examples for registering and discovering microservice instances with Nacos, Eureka, or Consul, and for routing external API requests through Spring Cloud Gateway with support for filters and load balancing. The tutorials explore service resilience through circuit breakers and rate limiting with Sentinel and Hystrix, including custom fallback l