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a-uwb-spatial-localization-algorithm-using-extreme-learning-machine

一种基于极限学习机的超宽带空间定位算法

ai-imu-dr

AI-IMU Dead-Reckoning

cameracalibration

Fisheye or Normal Camera Intrinsic and Extrinsic Calibration. Surround Camera Bird Eye View Generator.

deep-speed-constrained-ins

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

dnn-based_indoor_localization

Research on deep-neural-network-based indoor localization

filterpy

Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.

filterpy_zh_cn

rlabbe/filterpy 库的中文翻译，原仓库链接：https://github.com/rlabbe/filterpy

fusion-dhl

Fusion-DHL: WiFi, IMU, and Floorplan Fusion for Dense History of Locations in Indoor Environments

fy03_localization

A ROS package containing an outdoor localization system that fuses UWB and IMU sensor data through a Particle Filter.

git-demo

git_demo2

gtsam

GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.

gtsam_fusion

Estimates pose, velocity, and accelerometer / gyroscope biases by fusing GPS position and/or 6DOF pose with IMU data. The fusion is done using GTSAM's sparse nonlinear incremental optimization (ISAM2). The ROS (rospy) node is implemented using GTSAM's python3 inteface.

gtsam_toolbox

gtsam_toolbox, gtsam examples in Matlab

imu_ekf

6-axis(3-axis acceleration sensor+3-axis gyro sensor) IMU fusion with Extended Kalman Filter.

imu_x_fusion

IMU + X(GNSS, 6DoF Odom) Loosely-Coupled Fusion Localization based on ESKF, IEKF, UKF(UKF/SPKF, JUKF, SVD-UKF) and MAP

imucalibration-gesture

calibration for Imu and show gesture

imufusion

EKF IMU Fusion Algorithms

indoor-localization-with-imu

Pedestrian Dead Reckoning a.k.a. Indoor Localization using IMU (Inertial Measurement Unit)

indoor_localization

Research on indoor localization

industrial-uwb-localization-cir-dataset

Industrial UWB localization dataset containing Channel Impulse Response data (CIRs).

kalman-and-bayesian-filters-in-python

have some modifications. come from http://github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Python

kalman-and-bayesian-filters-in-python-1

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.

kalman_mpu6050

minisam

A general and flexible factor graph non-linear least square optimization framework

minisam-website

https://minisam.readthedocs.io

particle_filter_demo

Example of a simple particle filter for robot location, Stanford's Intro to AI

particle_filter_slam

SLAM with occupancy grid and particle filter, using lidar, joints, IMU and odometry data from THOR humanoid robot

pygavel

Python script for estimating 1D velocity model using Genetic Algorithm.

rangetracker

Accurate position tracking with a single UWB anchor