Popular GitHub Repositories for Imu

A lite BERT-like representation model for IMU sensor data

Introducing various sensors to our Gazebo Harmonic simulation

ARDrone autonomous indoor navigation by integrating lsd-slam with imu through least square method

The Mobilise-D algorithm toolbox - Implemented in Python

Project for ROB 550. Implementing SLAM using LIDAR, wheel encoders and IMU on MBot.

Longsword Stance RESTful Service Working demo: https://www.youtube.com/watch?v=v7hvOyPQ0EM Longsword Stance RESTful Service: Invokes prediction results with real-time multivariate time series data. Using Flask and python, the pre-trained bidirectional LSTM deep learning model is loaded to memory. RESTful post request containing real-time rows of IMU data can be used to classify the longsword movement stance. Information on the classification confidence and execution time in milliseconds is also provided.

real-time sensor fusion and positioning using GNSS, IMU, and KITTI dataset (in progress...)

Awesome-HCI （Ubiquitous, LLM, MLLM, Agent, RAG, Embodied-AI, RLHF)

State estimation is a vital part of any self-driving car software stack, which relies on the sensor measurements consisting of an IMU, a GNSS receiver, and a LiDAR to provide an accurate state estimation. However, since all of the sensors provide measurements of varying reliability and at different rates and reference frames, spatial and temporal multisensor calibration is required.

LSTM-based classifier for detecting predefined gestures from IMU sensor.

Robotics for Autonomous Vehicles by University of Toronto

A multisensor calibration tool using SFM technique.

A Python Project that aims to create a custom Data Loader for the Tight Learned Intertial Odometry (TLIO) model with MOCAP and IMU inputs

Library with `xyz_t` 3D vector type and `Quaternion` class. Useful for Inertial Measurement Unit (IMU) related projects.

This repository contains the implementation of an object-based imitation learning approach that utilizes an RNN-based method to predict future waypoints by leveraging object data, lane data, and IMU data.

GPS and IMU C++20 modules to interact with rovers or any application using SAM-M8Q or ICM20948

A playful yet powerful ROS-powered humanoid robotics framework—combining Gazebo simulation, ROS control, and optional reinforcement learning—to bring lifelike gait, balance, and interaction to a pint-sized robot.

This repository contains code for TinyML deployed on RP2040 MCU

A research project that addresses the recognition of activities and the gender of the performer using MoVi and MotionSense datasets