Search Results for "indoor navigation"
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Showing 15 open source projects for "indoor navigation"
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Habitat-Sim
A flexible, high-performance 3D simulator for Embodied AI research
Habitat-Sim is a high-performance 3D simulator for embodied AI research, designed to run photorealistic indoor environments at thousands of frames per second. It offers GPU-accelerated rendering and a flexible sensor suite—RGB, depth, semantic segmentation, and more—so agents can perceive and act in realistic scenes. The engine is written in C++ with Python bindings and integrates physics, navigation meshes, and shortest-path planners to support tasks like point-goal navigation, rearrangement, and interactive manipulation. ... -
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WorldGen
Generate Any 3D Scene in Seconds
WorldGen is an AI model and library that can generate full 3D scenes in a matter of seconds from either text prompts or reference images. It is designed to create interactive environments suitable for games, simulations, robotics research, and virtual reality, rather than just static 3D assets. The core idea is that you describe a world in natural language and WorldGen produces a navigable 3D scene that you can freely explore in 360 degrees, with loop closure so that the space remains... -
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Large Scale Indoor Camera Positioning
Large Scale Indoor Camera Positioning Using Fiducial Markers
This project tackles the task of estimating the pose of a large set of fixed indoor cameras, essential for applications such as augmented privacy, autonomous navigation, video surveillance, and logistics. Our innovative approach uses fiducial markers to initially estimate the pairwise relationship between nearby cameras and then uses a full optimization process that incorporates real-world information to refine these estimates. -
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Habitat-Lab
A modular high-level library to train embodied AI agents
Habitat-Lab is a modular high-level library for end-to-end development in embodied AI. It is designed to train agents to perform a wide variety of embodied AI tasks in indoor environments, as well as develop agents that can interact with humans in performing these tasks. Allowing users to train agents in a wide variety of single and multi-agent tasks (e.g. navigation, rearrangement, instruction following, question answering, human following), as well as define novel tasks. Configuring and instantiating a diverse set of embodied agents, including commercial robots and humanoids, specifying their sensors and capabilities. ... -
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BikeControl
Do virtual gear shifting (and more) in any rider app
BikeControl is a cross-platform tool aimed at enabling control of trainer apps (cycling/indoor training apps) using hardware controllers such as bike shifters, dedicated remotes (e.g. Zwift Click, Zwift Ride, Zwift Play), gamepads, or even generic Bluetooth HID devices. Instead of connecting to the trainer directly, BikeControl acts as a bridge: when you press a button or lever on your controller, it intercepts the input and simulates corresponding keyboard/mouse/touch events for your... -
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Replica Dataset
High-fidelity indoor 3D dataset for AI simulation and robotics
...The dataset also provides semantic and instance segmentations, planar decomposition, and navigation meshes, making it highly suitable for simulation, visual perception, and autonomous navigation tasks. Replica integrates seamlessly with AI Habitat, Meta’s framework for embodied AI training, enabling large-scale agent simulation and photorealistic rendering for reinforcement learning and robotics. Researchers can use Replica’s ReplicaViewer to interactively explore the 3D scenes. -
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FIND3
High-precision indoor positioning framework, version 3
The Framework for Internal Navigation and Discovery (FIND) is like indoor GPS for your house or business, using only a simple smartphone or laptop. Support for any data source, Bluetooth/WiFi/magnetic fields / etc. (previously just WiFi). Passive scanning built-in (previously required a separate server). Support for Bluetooth scanning in scanning utility (previously just WiFi). -
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House3D
A Realistic and Rich 3D Environment
House3D is a large-scale virtual 3D simulation environment designed to support research in embodied AI, reinforcement learning, and vision-language navigation. It provides more than 45,000 richly annotated indoor scenes sourced from the SUNCG dataset, covering diverse architectural layouts such as studios, multi-floor homes, and spaces with detailed furnishings and room types. Each environment includes fully labeled 3D objects, allowing agents to perceive and interact with their surroundings through multiple sensory modalities including RGB images, depth maps, semantic segmentation masks, and top-down maps. ... -
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FrancescoMontorsi ScientificResearch
Scientific research work of Francesco Montorsi,Univ. of Modena, Italy
This project hosts the code and the documents which were created by Francesco Montorsi during his PhD at the University of Modena and Reggio Emilia, Italy, about indoor and outdoor localization and navigation techniques. The code (mostly MATLAB code) is publicly available to enable reproducible research. -
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the project aims to create code in matlab that can used for simulating map based navigation algorithms for indoor robots . The idea behind the project is to come up with an alternative for particle filtering based methods for robot localization.
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An interactive demonstration and concept summary for an indoor wireless personal navigation for the blind and sight impared.
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INavClient
Indoor Navigation Client
This is the Indoor Navigation Client application. -
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INavServer
Indoor Navigation Server
This is the Indoor Navigation Server application. -
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SensorTesting
Sensor Testing for Master Thesis
Sensor Testing for Master Thesis about Indoor Navigation. July 2012. Frédéric Aebi
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