Data pre- and post-processing scripts for RAPID (Robust Autonomous Pressure and Inertial Devices)
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Updated
Jun 24, 2024 - Python
Data pre- and post-processing scripts for RAPID (Robust Autonomous Pressure and Inertial Devices)
C++ library for LSM9DS1 9 axis IMU sensor. Sample implementations for Arduino Nano 33 BLE Sense MBED OS included
[IEEE RA-L 2024] River: A Tightly-Coupled Radar-Inertial Velocity Estimator Based on Continuous-Time Optimization
LocoMote: AI-driven Sensor Tags for Fine-Grained Undersea Localization and Sensing
sbgECom is a C library used to communicate with SBG Systems IMU, AHRS and INS
This repository presents the implementation of our collaborative project between UPenn/Orthopaedics, UDel/Physical Therapy, and CMU/Engineering on exercise prediction.
Enregistreur de Vol Miniaturisé / Miniaturized Flight Recorder
Basic arduino library for the MPU6050 6-axis gyro.
Système de positionnement sous-marin mathématique / Underwater mathematical positioning system
Library for the Bosch BNO055 Sensor based on and used with the STM32-HAL.
Development and application of an INS from IMU data.
Ins,imu simulation
Implementation of a inertial messurement unit on the STM32F3DISCOVERY discovery kit
Code samples to use and showcase SBG Systems Qinertia Cloud API post-processing GNSS/INS solution.
Data-driven approach for AUV navigation
Pettee UWB (STM32F401RBT6) Arduino Core and board support allowing for programming on Arduino IDE and PlatformIO
This project explores the functioning, calibration and mathematics involved in getting comprehensible data from MPU6050 (a low-cost, highly accurate IMU with 6 DOF). It is a highly sensitive electronic substitute for the traditional Spirit Level indicators.
Initialization procedure for Inertial Navigation System (INS)
Autonomous navigation and victim-identifying robot, created to compete in RoboCup 2019 Sydney and Brazil Open 2019
Vigilant Bot is an embedded hardware system containing a 9-DOF IMU which detects and acts on distress signals conveyed through complex hand gestures in real time using deep learning.
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