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40 个仓库

Awesome GitHub RepositoriesSensor Processing

Algorithms and software that combine data from multiple sensors to produce accurate real-time environmental information.

Explore 40 awesome GitHub repositories matching hardware & iot · Sensor Processing. Refine with filters or upvote what's useful.

Awesome Sensor Processing GitHub Repositories

用 AI 发现最棒的仓库。我们将通过 AI 为您搜索最匹配的仓库。
  • commaai/openpilotcommaai 的头像

    commaai/openpilot

    61,375在 GitHub 上查看↗

    Openpilot 是一个开源驾驶辅助系统,与载具控制单元集成,提供自动转向、加速和制动功能。它作为一个汽车机器人中间件,利用专门的运行时环境来处理传感器数据并执行管理载具动态的实时控制命令。 该平台的特色在于其硬件无关的接口,将标准化的驾驶命令转换为各种载具品牌和型号所需的专有协议。它采用基于神经网络的路径规划,从视觉和历史数据中预测轨迹,同时确定性控制循环确保了载具稳定性的高频调整。为了保持操作安全,该系统集成了一个独立的看门狗进程,用于监控性能并在检测到异常时触发立即脱离。 该软件架构依赖于实时传感器融合,将摄像头和雷达输入同步为统一的环境表示。系统组件通过基于消息的总线进行通信,以促进传感器和执行器之间的低延迟数据交换,并由支持与多种汽车通信协议集成的模块化转换层提供支持。

    Synthesizes asynchronous data streams from cameras and radar into a coherent, unified model of the surrounding environment.

    Pythonadvanced-driver-assistance-systemsdriver-assistance-systemsrobotics
    在 GitHub 上查看↗61,375
  • vsouza/awesome-iosvsouza 的头像

    vsouza/awesome-ios

    52,496在 GitHub 上查看↗

    This project is a community-driven directory of software resources, libraries, and tools designed to support iOS application development. It serves as a centralized reference point for developers, organizing a vast ecosystem of third-party components into a searchable, structured index to facilitate discovery and project integration. The repository distinguishes itself through its collaborative curation model, which aggregates disparate utilities into a single, maintainable catalog. By leveraging a flat-file documentation structure, it provides a clear overview of the tools available for nati

    Reads data from hardware sensors to detect device movement and orientation changes.

    Swiftapple-swiftarkitawesome
    在 GitHub 上查看↗52,496
  • arendst/tasmotaarendst 的头像

    arendst/Tasmota

    24,502在 GitHub 上查看↗

    Tasmota is a universal firmware platform for ESP8266 and ESP32 microcontrollers, designed to provide local control and management of smart home hardware. It functions as an event-driven automation controller that replaces proprietary factory firmware, allowing users to manage relays, sensors, and lighting systems without relying on external cloud services. The system is built on a modular driver architecture that enables dynamic hardware configuration and peripheral support through a web-based management interface. The platform distinguishes itself through a template-driven hardware mapping s

    Adjusts raw sensor data using offsets and scaling to ensure accurate reporting for analog and digital inputs.

    Carduinoautomationesp32
    在 GitHub 上查看↗24,502
  • rem0o/fancontrol.releasesRem0o 的头像

    Rem0o/FanControl.Releases

    18,777在 GitHub 上查看↗

    FanControl is a system utility for Windows that provides comprehensive thermal management and fan speed regulation. It functions as a background service, ensuring that cooling configurations remain active from system boot without requiring an active user session. The software distinguishes itself through a modular plugin architecture that supports proprietary hardware controllers, liquid cooling systems, and third-party sensors. Users can define complex cooling behaviors by mapping multiple temperature inputs to fan outputs using graphical curves and mathematical operations, while incorporati

    Combines multiple temperature inputs from various hardware sources to drive complex cooling logic.

    controlcpucurves
    在 GitHub 上查看↗18,777
  • wled/wledwled 的头像

    wled/WLED

    18,249在 GitHub 上查看↗

    WLED is a web-based firmware designed for ESP8266 and ESP32 microcontrollers to manage addressable LED strips and matrices. It functions as a comprehensive IoT lighting automation system, providing the tools to control individual pixels, define logical segments, and execute dynamic lighting effects. The platform supports a wide range of hardware configurations, including matrix panels and non-addressable LED arrays, while offering granular control over brightness, color palettes, and animation speed. The project distinguishes itself through its extensive support for networked orchestration an

    Reads signals from analog sensors to dynamically adjust lighting properties like brightness and speed.

    C++esp32esp8266hacktoberfest
    在 GitHub 上查看↗18,249
  • microsoft/airsimmicrosoft 的头像

    microsoft/AirSim

    17,956在 GitHub 上查看↗

    AirSim is a high-fidelity simulation platform designed for the development and testing of autonomous vehicles. Built as a plugin for game engines, it provides a physics-based environment that models vehicle dynamics and sensor data, serving as a foundation for robotics research, computer vision training, and reinforcement learning. The platform distinguishes itself through its support for hardware-in-the-loop and software-in-the-loop testing, allowing developers to validate control logic and firmware against real-world signals or concurrent processes. It offers extensive programmatic control

    Generates synthetic data from onboard hardware components like IMUs, GPS, and barometers to provide environmental feedback to algorithms.

    C++aiairsimartificial-intelligence
    在 GitHub 上查看↗17,956
  • marlinfirmware/marlinMarlinFirmware 的头像

    MarlinFirmware/Marlin

    17,433在 GitHub 上查看↗

    Marlin is a firmware platform designed for 3D printers and CNC machines that translates manufacturing instructions into precise hardware operations. It functions as a G-code interpreter, parsing text-based commands to manage multi-axis motion, thermal regulation, and material delivery systems. By operating independently of a host computer, the system enables a standalone manufacturing workflow through the direct processing of files from local storage. The firmware distinguishes itself through a modular hardware abstraction layer that supports a wide range of microcontroller configurations. It

    Executes sensor-based calibration routines to ensure geometric accuracy and consistent material adhesion across the build surface.

    C++3d-printingarduinoatmel
    在 GitHub 上查看↗17,433
  • wagerfield/parallaxwagerfield 的头像

    wagerfield/parallax

    16,586在 GitHub 上查看↗

    Parallax is a device motion parallax engine and interactive depth effect library. It provides the core logic and interfaces necessary to simulate visual depth by shifting scene layers based on a smart device gyroscope or mouse movement. The system functions as a device orientation controller that maps physical device rotation and cursor position to programmatic offsets. It distinguishes itself through a motion interface that handles relative orientation calibration, allowing the engine to calculate movement based on a cached starting position. The library covers motion behavior configuration

    Calculates movement by comparing current sensor readings against a cached initial starting position.

    JavaScript
    在 GitHub 上查看↗16,586
  • ardupilot/ardupilotArduPilot 的头像

    ArduPilot/ardupilot

    15,339在 GitHub 上查看↗

    ArduPilot 是一个自主载具自动驾驶软件平台,旨在管理空中、地面和水面载具的导航、稳定和任务执行。它作为一个综合飞行控制器,利用实时操作系统内核来管理并发控制循环、传感器融合以及针对不同操作模式的状态逻辑。 该系统的特色在于其模块化的硬件抽象层,将导航逻辑与特定的传感器驱动程序和微控制器架构解耦。它采用面向消息的遥测协议来促进载具与地面站之间的通信,同时通过事件驱动的看门狗系统持续监控健康指标,以便在发生严重故障时触发自动恢复程序。 该平台为无人系统操作提供了广泛的功能,包括执行脚本化导航任务和协调用于成像的多轴载荷稳定。它还包含用于流式传输实时状态指标和记录高保真遥测数据的集成系统,以支持任务后的性能分析。

    Combines noisy data from multiple onboard sensors to estimate the precise orientation and position of the vehicle.

    C++arducopterardupilotarduplane
    在 GitHub 上查看↗15,339
  • orcaslicer/orcaslicerOrcaSlicer 的头像

    OrcaSlicer/OrcaSlicer

    14,774在 GitHub 上查看↗

    OrcaSlicer is a 3D printer slicer software designed to convert three-dimensional digital models into precise machine instructions for additive manufacturing. It functions as an end-to-end workflow manager that handles the transformation of geometric data into layer-by-layer movement commands while providing tools to configure print parameters and manage hardware settings. The software distinguishes itself through integrated remote management capabilities, allowing users to submit print jobs, monitor real-time telemetry, and control network-connected hardware from remote locations. It incorpor

    Tests and adjusts material flow, temperature, and retraction settings to ensure optimal print quality.

    C++3d-printer3d-printingmakers
    在 GitHub 上查看↗14,774
  • alibaba/mnnalibaba 的头像

    alibaba/MNN

    14,242在 GitHub 上查看↗

    MNN is a high-performance inference engine and framework designed for on-device machine learning. It provides a comprehensive environment for executing, optimizing, and deploying neural network models directly on mobile and resource-constrained edge devices. The framework distinguishes itself through a robust model optimization toolkit that supports quantization, compression, and structural graph manipulation to minimize memory footprint and maximize execution speed. It features a modular architecture that abstracts hardware-specific backends, allowing models to run efficiently across diverse

    Converts models to integer-8 precision using calibration datasets to optimize speed and memory.

    C++armconvolutiondeep-learning
    在 GitHub 上查看↗14,242
  • rwaldron/johnny-fiverwaldron 的头像

    rwaldron/johnny-five

    13,401在 GitHub 上查看↗

    Johnny-Five is a JavaScript robotics framework and microcontroller hardware interface designed for programming robots and IoT devices. It provides a standardized library for managing pins, motors, and displays across various microcontroller platforms, allowing developers to control sensors and actuators using a consistent JavaScript API. The framework is distinguished by its use of a plugin-based hardware abstraction system, which enables communication with diverse hardware platforms and protocols. It supports real-time hardware manipulation and debugging through a read-eval-print loop that a

    Captures signal changes from physical sensors and scales the values to a usable numeric range.

    JavaScript1-wireadcarduino
    在 GitHub 上查看↗13,401
  • px4/px4-autopilotPX4 的头像

    PX4/PX4-Autopilot

    11,962在 GitHub 上查看↗

    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

    Integrates multi-sensor data to calculate vehicle orientation, altitude, and position.

    C++autonomousautopilotavoidance
    在 GitHub 上查看↗11,962
  • autowarefoundation/autowareautowarefoundation 的头像

    autowarefoundation/autoware

    11,742在 GitHub 上查看↗

    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

    Processes real-time environmental sensor data to ensure high-performance navigation and awareness.

    Dockerfileautonomous-drivingautonomous-vehiclesautoware
    在 GitHub 上查看↗11,742
  • software-mansion/react-native-reanimatedsoftware-mansion 的头像

    software-mansion/react-native-reanimated

    10,674在 GitHub 上查看↗

    This project is a cross-platform animation library for React Native that provides a declarative engine for building high-performance user interfaces. It functions by offloading animation logic and interaction processing to the native UI thread, ensuring that visual transitions remain smooth and responsive even when the main application thread is under heavy load. The library distinguishes itself through a specialized architecture that transforms standard functions into units capable of executing directly on the native thread. It utilizes shared-memory synchronization to maintain consistent da

    Maps real-time hardware sensor data to visual properties for physically reactive interface motion.

    TypeScriptanimationgesturejavascript
    在 GitHub 上查看↗10,674
  • microsoft/windows-universal-samplesmicrosoft 的头像

    microsoft/Windows-universal-samples

    9,696在 GitHub 上查看↗

    This repository is a comprehensive collection of reference implementations and sample libraries for the Universal Windows Platform. It provides practical examples of how to use Windows Runtime APIs to build cross-device applications, including detailed guidance on XAML-based declarative user interfaces and DirectX-integrated rendering. The project distinguishes itself by providing a wide array of hardware integration suites, covering low-level communication with USB, Serial, I2C, SPI, and GPIO peripherals. It includes specialized implementations for mixed reality holographic rendering, advanc

    Uses proximity sensor data thresholds as system triggers to execute software actions in the background.

    JavaScript
    在 GitHub 上查看↗9,696
  • home-assistant/home-assistant.iohome-assistant 的头像

    home-assistant/home-assistant.io

    9,466在 GitHub 上查看↗

    Home Assistant is a local home automation platform and server that acts as an IoT device orchestrator. It integrates diverse smart home hardware by wrapping third-party APIs into a standardized logic layer and stores all system state and historical statistics on local hardware to eliminate cloud dependencies. The system functions as a Matter IoT controller and an MQTT home automation bridge, allowing for local interoperability between different manufacturers. It features a state-based entity model and an internal event bus that decouple physical device logic from system automation. The platf

    Calculates new sensor values by aggregating data from multiple existing entities using software logic.

    HTMLdocumentationhacktoberfesthass
    在 GitHub 上查看↗9,466
  • hybridgroup/gobothybridgroup 的头像

    hybridgroup/gobot

    9,425在 GitHub 上查看↗

    Gobot is a robotics framework for the Go programming language designed for developing robotics, drones, and IoT applications. It provides a hardware abstraction layer with standardized drivers to interact with GPIO, I2C, SPI, and PWM interfaces across various single-board computers and microcontrollers. The framework functions as an IoT device orchestrator and BLE device manager, enabling the coordination of multiple sensors, actuators, and Bluetooth Low Energy peripherals. It includes specialized interfaces for drone control, allowing for the management of flight maneuvers and video streams

    Implements standardized interfaces for reading and interacting with various analog hardware components.

    Goarduinobeaglebonebeaglebone-black
    在 GitHub 上查看↗9,425
  • prusa3d/prusaslicerprusa3d 的头像

    prusa3d/PrusaSlicer

    9,146在 GitHub 上查看↗

    PrusaSlicer is a G-code generator that converts 3D models into machine instructions for FFF and mSLA printers, handling slicing, infill, and support generation. It provides a command-line slicing interface for processing models and profiles via terminal commands without a graphical user interface, and includes a G-code customization engine that inserts user-defined macros, variables, and post-processing scripts into generated G-code for tailored machine control. The software also manages multi-material prints by coordinating multiple extruders and filament colors, assigning materials to model

    Assigns a custom SVG or PNG image as the visual representation of the print bed.

    C++
    在 GitHub 上查看↗9,146
  • dusty-nv/jetson-inferencedusty-nv 的头像

    dusty-nv/jetson-inference

    8,734在 GitHub 上查看↗

    jetson-inference is a set of libraries and tools for executing optimized deep learning models on embedded GPU hardware. Its primary purpose is to enable real-time computer vision and AI inference at the edge with low latency and high throughput. The project distinguishes itself through high-performance streaming analytics and the ability to execute concurrent AI pipelines on auto-grade silicon. It provides specialized support for multi-sensor stream processing, utilizing zero-copy data transport to load camera frames directly into GPU memory. The codebase covers a broad surface of capabiliti

    Builds high-performance sensor-processing pipelines using zero-copy data transport directly into GPU memory.

    C++caffecomputer-visiondeep-learning
    在 GitHub 上查看↗8,734
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探索子标签

  • Analog Sensor Calibration9 个子标签Mathematical adjustment of raw sensor inputs to ensure accurate data reporting. **Distinct from Sensor Processing:** Distinct from general sensor processing: focuses on the calibration and scaling of raw analog values.
  • Encrypted Sensor DecryptorsUtilities for processing and decrypting secure sensor data packets. **Distinct from Sensor Processing:** Distinct from sensor processing: focuses on the security and decryption layer rather than environmental modeling.
  • Real-Time Sensor FusionAlgorithms that combine multiple asynchronous data streams into a single coherent environmental model.
  • Sensor-to-UI MappersLogic for automatically updating interface elements based on real-time sensor data. **Distinct from Sensor Processing:** Distinct from sensor processing: focuses on UI synchronization rather than environmental modeling.
  • Virtual SensorsSensors whose values are computed through software logic rather than direct hardware measurement. **Distinct from Sensor Processing:** Distinct from Sensor Processing: focuses on the creation of a virtual entity (template sensor) rather than the processing algorithms for physical sensor data.