min-zhi Goto Github PK

followers: 3.0 following: 3.0 repos: 69.0 gists: 0.0

Name: MultiNavigation

Type: User

MultiNavigation's Projects

aeplanner

An autonomous exploration planner for large scale 3D environments

awesome-visual-slam

:books: The list of vision-based SLAM / Visual Odometry open source, blogs, and papers

camera_lidar_calibration_v2

ROS VERSION: A tool used for calibrate 2D laser range finder (LRF) and camera.version1：https://github.com/TurtleZhong/camera_lidar_calibration

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.

demo_for_kalmanfilter

fusion algorithm(kf) with only ranging(UWB) and 6-axis imu sensor

dls_factor_graph_calibration

This ROS package uses factor graphs to compute extrinsic parameters of multi-cameras on a robot

gmail_rtklib

An Open Source Program for demonstrating RTKLIB using the GMail API

gnss-correction-rtklib

GNSS Collection and Post-Processing with RTKLIB

gnss-ins

Sensor Fusion

gnss-ins-sim

Open-source GNSS + inertial navigation, sensor fusion simulator. Motion trajectory generator, sensor models, and navigation

gnss-ins-vision-based-cns-navigation

gnss-intrinsics

GNSS Intrinsics for Software Correlators

gnss-reflectometry-processing

GNSS Reflectometry Processing using the GPU

gnss-rx

GNSS measurement simulator

gnss-web

GNSS Web后台

gnss_sins

gps-ins

惯导/GPS 组合导航相关

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.