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attitude_estimation

Attitude estimation using madgwick filter

benchmarks-attitude-smartphones

complex-gestures-demo

A demonstration of using machine learning to recognize 13 complex gestures in an iOS app

data-structure-and-algorithm

Data Structure And Algorithm（常用数据结构与算法C/C++实现）

em7180_sentral_sensor_hub

(Affordable) Ultimate Sensor Fusion Solution

imu_calibration

Matlab codes for calibration of inertial measurement unit (3-axis accelerometer and gyroscope)

imu_dataset

A dataset of various tests of inertial and magnetic sensors using an industrial robot as ground-truth

ipc

this code implement comunication between of two process,eg server and client,users use simple only your request and response in callback,just only virtual function

kalibr_allan

IMU Allan standard deviation charts for use with Kalibr and inertial kalman filters.

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

libsigcplusplus

libsigc++ implements a typesafe callback system for standard C++. It allows you to define signals and to connect those signals to any callback function, either global or a member function, regardless of whether it is static or virtual.

libusb

A cross-platform library to access USB devices

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

mpu9250

Arduino sketches for MPU9250 9DoF with AHRS sensor fusion

open-source-sensor-fusion

Open Source Sensor Fusion

sensorfusion

This project performs sensor fusion to track a mobile device's orientation. The data utilised are from three sensors: a) Accelerometer, b) Magnetic Field, d) Gyroscope. The sensor fusion is executed off-line. This project basically ports code developed by Paul Lawitzki from Android to Matlab/Octave. The Matlab/Octave code imports a CSV file with a given structure. Then, a strapdown integration system is developed by computing the orientation from two different components: a) Accelerometer - Magnetic Field and b) Gravity tracking through Gyroscope. Finally, the orientations from the two components are fused.

serialport

:large_orange_diamond: C++ Library for Serial Communication with Arduino