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activity-recognition

🚀 手机加速度传感器数据进行人体行为识别

ae-growing-up

Algorithmic Engineer (AE) growing-up

ai-imu-dr

AI-IMU Dead-Reckoning

ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

android-vins

android_camera-imu

Wifi data aquistion between Android and ROS

androidimurecorder

anyplace

A free and open Indoor Navigation Service with superb accuracy!

arkit-corelocation

Combines the high accuracy of AR with the scale of GPS data.

arkitrecorder

Record image and camera pos, etc. information provided by ARKit and save them into files.

armultiuser

this demo use arkit 2.0, realize multiplayer play together! The project refers to the official demo！

artoolkit5

ARToolKit v5.x

attitude_estimator

A C++ implementation of a nonlinear 3D IMU fusion algorithm

autoencoder-knn

benchmarks-attitude-smartphones

butterworth-filter-design

C++ classes for designing high-order Butterworth IIR & equalization filters

camera-gyro-calibration

Robust Gyroscope-Aided Camera Self-Calibration (codes)

cameracalibration

android camera calibration, undistort安卓相机标定，畸变校正

cardboard-java

Google Cardboard

cloudnavi

CloudNavi is a ubiquitous indoor navigation system.

co-vins

Collaborative Localization for Multiple Monocular Visual-Inertial Systems

coding-interview-university

A complete computer science study plan to become a software engineer.

dcm-imu

The DCM-IMU algorithm is designed for fusing low-cost triaxial MEMS gyroscope and accelerometer measurements. An extended Kalman filter is used to estimate attitude in direction cosine matrix (DCM) formation and gyroscope biases online. A variable measurement covariance method is implemented for acceleration measurements to ensure robustness against temporarily non-gravitational accelerations which usually induce errors to attitude estimate in ordinary IMU-algorithms. The code and data will be added after related scientific work is published and open source publication is approved.

deep-speed-constrained-ins

Codes for Deep Learning Based Speed Estimation for Constraining Strapdown Inertial Navigation on Smartphones

deepconvlstm

Deep learning framework for wearable activity recognition based on convolutional and LSTM recurretn layers

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，近30万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deeplocnet

WiFi based Radio-Inertial Localization

esekf_imu

A python implemented error-state extended Kalman Filter. Suit for learning EKF and IMU integration.

esp-find3-client

3rd Party Indoor Location using ESP8266/ESP32 and Find3 (https://github.com/schollz/find3)

eval-vislam

Toolkit for VI-SLAM evaluation.