Search Results for "imu"
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Showing 15 open source projects for "imu"
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1
Eagleye
Precise localization based on GNSS and IMU
Eagleye is an open-source software for vehicle localization utilizing GNSS and IMU[1]. Eagleye provides highly accurate and stable vehicle position and orientation by using GNSS Doppler[2][3][4][5][6]. The flowchart of the algorithm is shown in the figure below. The algorithms in this software are based on the outcome of the research undertaken by the Machinery Information Systems Lab (Meguro Lab) at Meijo University. -
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NVIDIA Isaac Sim
NVIDIA Isaac Sim is an open-source application on NVIDIA Omniverse
...It supports a wide array of robotics formats (URDF, MJCF, CAD), includes GPU-accelerated physics, and features immersive RTX rendering and multisensory simulation. Realistic physics via GPU-accelerated engines and RTX ray tracing. Multi-sensor simulation (RGB-D cameras, Lidar, Radar, IMU, contact sensors). Extensible via platform APIs and can integrate into custom USD-based simulators. -
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ElectronBot
ElectronBot is a mini desktop robot
ElectronBot is a desktop-scale robot platform designed for enthusiasts and makers, combining robotics, embedded systems, display, and gesture sensing into a compact mechanical “tool bot”. The project features six degrees of freedom (rotational axes) for arms, neck, and body, allowing expressive motion beyond simple head-tilt or arm-wave. It includes USB communication and a built-in display, enabling it to respond to host computer inputs and act as an interactive peripheral rather than just a... -
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Isaac ROS Visual SLAM
Visual SLAM/odometry package based on NVIDIA-accelerated cuVSLAM
...Isaac ROS Visual SLAM provides a high-performance, best-in-class ROS 2 package for VSLAM (visual simultaneous localization and mapping). This package uses one or more stereo cameras and optionally an IMU to estimate odometry as an input to navigation. It is GPU-accelerated to provide real-time, low-latency results in a robotics application. VSLAM provides an additional odometry source for mobile robots (ground-based) and can be the primary odometry source for drones. VSLAM provides a method for visually estimating the position of a robot relative to its start position, known as VO (visual odometry). ... -
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Gait Tracking With x-IMU
Foot tracking algorithm demonstrated in Seb Madgwick's 3D Tracking
This repository provides the source code for a foot-tracking algorithm using an inertial measurement unit (IMU) attached to the foot, as demonstrated in Seb Madgwick’s “3D Tracking with IMU” video (March 2011). The method performs dead reckoning to integrate foot motion and corrects for drift at each foot strike (when the foot touches the ground) to reset error accumulation. The algorithm was part of gait analysis research, estimating foot trajectories in 3D over time. ... -
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Project: Olympus
An Arduino-based Altitude and IMU Payload for Model Rocketry
Project: Olympus is an engineering project that utilizes an Arduino Nano microcontroller to create an electronic payload that records altitude, g-forces experienced by the rocket, as well as roll rate. Included with the code is a 132 page Project Manual that takes you through the design and construction of the electronic payload. It also includes sections on the construction of the Estes Olympus rocket. A detailed code review of each section of code is included. We take a detailed look... -
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HoloCubic
Multi-function transparent display desktop station
...The hardware design includes versions of the PCB (Naive version, Ironman version) and 3D model files for the enclosure (3D printed or CNC metal). The software leverages LVGL (a GUI library for microcontrollers) and supports surface touch or IMU-based input. Because it connects via WiFi/Bluetooth, it can fetch live data and display dynamic content, bridging embedded display, network, and interactive gadget design. -
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XIVO
X Inertial-aided Visual Odometry
...XIVO runs at 140FPS on stored data (here from a RealSense D435i sensor) or on live streams with a latency of around 1-7ms, depending on the hardware. It takes as input video frames from a calibrated camera and inertial measurements from an IMU and outputs a sparse point cloud with attribute features and 6 DOF pose of the camera. It performs auto-calibration of the relative pose between the camera and the IMU as well as the time-stamp alignment. -
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Relativty
An open source VR headset with SteamVR supports for $200
...Precision and freedom of movement are still very far from dedicated sensors, however, we believe that the model can be trained and improved by orders of magnitude. We designed an affordable motherboard that runs the Relativty Firmware, it is based on the Atmel SAM3X8E ARM Cortex-M3 processor and uses an MPU-6050 as it’s IMU. The naked PCB and the components to solder on, cost in total about 25 dollars. -
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10
Kimera-VIO
Visual Inertial Odometry with SLAM capabilities and 3D Mesh generation
Visual Inertial Odometry with SLAM capabilities and 3D Mesh generation. Kimera-VIO is a Visual Inertial Odometry pipeline for accurate State Estimation from Stereo + IMU data. It can optionally use Mono + IMU data instead of stereo cameras. -
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Kalibr Allan
IMU Allan standard deviation charts
kalibr_allan is a utility repository that provides scripts and tools for calculating IMU noise parameters for use in Kalibr and other IMU filtering systems. While manufacturers typically provide “white noise” values in IMU datasheets, the bias instability and random walk parameters must be determined experimentally. This project enables users to compute those values using Allan variance analysis from recorded IMU data. -
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Attitude Estimator
A C++ implementation of a nonlinear 3D IMU fusion algorithm.
Attitude Estimator is a generic platform-independent C++ library that implements an IMU sensor fusion algorithm. Up to 3-axis gyroscope, accelerometer and magnetometer data can be processed into a full 3D quaternion orientation estimate, with the use of a nonlinear Passive Complementary Filter. The library is targeted at robotic applications, but is by no means limited to this. Features of the estimator include gyro bias estimation, transient quick learning, multiple estimation algorithms, tuneable estimator parameters, and near-global stability backed by theoretical analysis. ... -
13
hatire
Head Arduino Tracker Plugins for FaceTrackNoIR
Use Arduino IMU to track head movements. Interface using serial port connection. -
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Firmware for Bill Premerlani's IMU based UAV Dev Board autopilots
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15
Acquisition, parsing, filtering and processing code for the Sparkfun (Used with permission) Inertial Measurement Units for UAV robotics applications. Estimates unit attitude and heading from gyros and accelerometers.
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