Projects sharing features with ARKit CoreLocation

ARKit - Place virtual objects using ARKit.

OM1 is a multimodal AI agent runtime and orchestration framework designed to connect large language models to physical robot hardware and sensors. It provides an execution environment that processes audio, video, and sensor data to drive autonomous decisions and actions in real-world settings. The system integrates a robotics SLAM and navigation stack with a hardware abstraction layer, allowing high-level AI commands to be translated into low-level motor and actuator instructions. It distinguishes itself by incorporating blockchain-based governance to enforce immutable operational rules and p

PCDet is a LiDAR 3D object detection toolbox and point cloud processing library built on the PyTorch deep learning framework. It provides a system for identifying and locating three-dimensional objects within point cloud data. The project utilizes a data-model separation pattern to decouple dataset loading logic from the core detection pipeline. It features a multi-sensor fusion pipeline that combines data from multiple sensors into a shared spatial view and a distributed GPU training system to scale workloads across multiple graphics processors. The toolkit covers several capability areas,

Cartographer is a software library and spatial localization engine for simultaneous localization and mapping. It provides a framework for calculating the precise position and orientation of a device while concurrently generating real-time 2D and 3D representations of its environment using lidar-based data. The system implements a real-time mapping approach that uses live sensor streams to track device heading and position. It utilizes a submap-based mapping strategy to divide environments into local maps that are aligned into a global map. The project covers a range of SLAM capabilities, inc

FAST-LIVO2 is a LiDAR-inertial odometry framework and factor-graph SLAM implementation designed for real-time robot localization and 3D mapping. It functions as a multi-sensor fusion pipeline and state estimator that integrates LiDAR, inertial, and camera inputs to track a robot's position and orientation. The system employs a tightly-coupled sensor fusion approach to maintain stable navigation, particularly in degraded environments. It utilizes a voxel-based 3D mapping tool to organize point clouds into volumetric grids, which optimizes memory usage and search speed during spatial reconstruc

Gyroflow is a gyroscope video stabilization software and IMU telemetry processor designed to remove camera shake from video files. It functions as a hardware-accelerated video renderer and lens calibration tool, utilizing embedded or external gyroscope and accelerometer data to perform pixel-level stabilization. The system is distinguished by its ability to integrate with professional non-linear video editing software via plugins, allowing stabilization to be applied directly to timelines without transcoding original footage. It supports diverse telemetry ingestion from camera brands, flight

AR.js is a JavaScript library for building augmented reality experiences that run directly in the web browser. It provides the core capability to render digital content overlaid on the real world using either the A-Frame HTML component system or the three.js JavaScript library, supporting both marker-based and location-based AR approaches. The library enables tracking of predefined 2D images, fiducial markers, and image targets through the device camera, allowing virtual objects such as 3D models, videos, or images to be positioned relative to recognized visual references. For location-based

Autoware is a modular autonomous driving stack and open-source platform for advanced driver assistance systems. It functions as an integrated operating environment that manages the full pipeline from sensor data processing to vehicle actuation, utilizing the ROS 2 robotics framework for distributed communication and hardware abstraction. The system provides a comprehensive software architecture to enable autonomous driving across various vehicle platforms. It coordinates perception, planning, and control systems to operate vehicles without human intervention. The platform covers several core

jeelizFaceFilter is a browser-based computer vision engine and WebGL face tracking library designed for AR filters and real-time facial movement tracking. It functions as a neural network face detector that identifies multiple faces and monitors mouth movements and rotation within a web browser. The system distinguishes itself through a model-swappable detection pipeline, allowing the exchange of neural network weights to balance accuracy and performance across different camera angles and devices. It features real-time lighting synchronization to match the illumination of 3D overlays with the

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

This project is a collection of optional, community-contributed algorithms and specialized vision tools that extend the core OpenCV framework. It serves as a comprehensive library of extra modules for computer vision research, providing advanced toolsets for image processing, visual data analysis, and object detection. The library includes specialized frameworks for augmented reality tracking, biometric face recognition, and three-dimensional pose estimation. It provides distinct capabilities for identifying AR markers, tracking 3D object silhouettes, and performing neural network vulnerabili

model-viewer is a web-based 3D model viewer provided as a web component for rendering interactive three-dimensional assets and animations directly in a browser. It functions as a specialized GLTF web renderer designed to display GLTF and GLB files with settings optimized for performance and quality. The project includes a WebXR augmented reality player that projects 3D models into real-world environments using mobile device cameras and spatial tracking. It also features a visual regression testing tool capable of generating golden images and comparing renders to detect visual regressions in 3

BEVFormer is a perception framework that transforms multi-camera images into bird's-eye-view representations for autonomous driving. It functions as a multi-camera vision pipeline that integrates multiple camera streams into a single unified spatial perspective to facilitate environmental understanding. The system implements a transformer-based architecture that employs query-based feature extraction and spatiotemporal networks to aggregate spatial image features and temporal historical data. It uses recurrent temporal accumulation to maintain a persistent memory of the scene across consecuti

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

Apollo is a comprehensive software stack designed for autonomous vehicle development, providing the necessary components for perception, planning, and control. It functions as a high-performance robotics middleware, utilizing a publish-subscribe data bus to facilitate low-latency communication between distributed modules and hardware sensors. The platform integrates data from cameras, lidar, and radar through a sensor fusion framework to generate a real-time environmental model for navigation. The system features a component-based runtime framework that manages task scheduling and resource al

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

Side-Menu.Android is a reusable UI component for Android applications that provides a slide-out navigation drawer. It is designed to help developers organize application sections and user options into a structured, hidden panel that maintains a clean interface for the primary content area. The component distinguishes itself through its visual presentation, which follows Material Design guidelines to ensure a consistent and intuitive user experience. It features a data-driven menu hierarchy that allows for logical grouping of navigation items, and it incorporates fluid circular reveal animatio

This project is a robotics software package designed for simultaneous localization and mapping, providing a framework for visual-inertial odometry and environmental mapping. It functions as a middleware-integrated library that enables autonomous mobile robots to estimate their position and orientation by processing sensor data within modular software systems. The library distinguishes itself by utilizing hardware-accelerated processing to perform feature tracking and odometry calculations on dedicated graphics hardware. It maintains spatial accuracy through graph-based optimization and statis

This project is a cross-platform mapping SDK and hardware-accelerated rendering engine implemented in C++. It provides a shared geospatial core that allows for the embedding of interactive maps into Android, iOS, macOS, Node.js, and Qt applications. The system focuses on high-performance vector tile rendering using OpenGL and GPU primitives to display interactive 3D landscapes and complex geospatial datasets. It transforms compressed protocol buffers into customizable visuals through a style-driven layer pipeline. The capability surface extends to comprehensive location services, including g

A-Frame is a declarative 3D scene engine and WebXR framework used to build virtual and augmented reality experiences directly in the web browser. It utilizes an entity component system where generic objects are assigned behaviors through attachable components and lifecycle hooks. The framework allows the assembly of immersive environments using HTML-like markup to define geometries, lighting, and materials. It implements WebXR standards to ensure consistent playback across different hardware and browsers, including support for VR headsets, desktops, and mobile devices. The system covers a br

model-viewer is a web component used to render and interact with three-dimensional models directly in a web browser. It functions as a glTF 3D model renderer and an interactive WebGL component, encapsulating a 3D rendering pipeline within a custom HTML element. The project enables web-based augmented reality, allowing 3D assets to be projected into physical environments using a mobile device camera. It provides tools for augmented reality projection and experience creation by combining 3D models with camera tracking. The component supports 3D product visualization and the integration of inte

Dummy-Robot is a software platform designed for the real-time teleoperation of desktop robotic arms. It functions as a human-robot interaction interface, translating gestural input and sensor data into fluid mechanical motion to enable remote physical task execution. The system utilizes a specialized control framework to map human hand movements directly to robotic actuators. By integrating sensor fusion and kinematic mapping, the software maintains low-latency synchronization between an operator's spatial inputs and the physical assembly, allowing for precise manipulation through a dedicated

PoC to detect and track parts under a car's hood, with ARKit Vision CreateML RealityKit.

Mesure distance using apple ARKit