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Name: jimazeyu

Type: User

Bio: [email protected]

jimazeyu's Projects

3d_lidar_in_gazebo

A collection of several mainstream LiDAR SLAM algorithms in Gazebo environment.

adaptive_rangemat_clustering

An adaptive euclidean clustering method based on rangemat.

bayesian_pattern_classification

Bayesian-based statistical learning methods for image segmentation.

binary_kmeans

This repository contains implementations of two clustering algorithms: K-Means and Bisecting K-Means, including an improvement combining Bisecting K-Means with hierarchical clustering.

This repository contains an implementation of the ID3 Decision Tree algorithm, a popular method in machine learning for creating a decision tree from a dataset. The ID3 algorithm uses entropy and information gain to construct the tree.

cv_learning_notes

Test the traning and inference speed of typical deep learning CV algorithms.

darp_for_real_gridmap

Generate multi-robot coverage path for an occupancy gridmap.

franka_grasp_baseline

Table top manipulation calibration between the robot arm, the fixed cameras and the camera in hand.

franka_visualizer

Visualize franka arm FK and IK.

gaussian-splatting

Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

gazebo_tutorials

This tutorial provides a comprehensive guide on robotic mapping and navigation in gazebo virtual environment.

graspnet_viser

Visualize graspnet with viser.

hybrid_feature_lo

hybrid_feature_LO

icp_pgo_slam

This SLAM system utilizes ICP as its frontend, integrates IMU and wheel encoders, utilizes loop closure detection and pose graph optimization in the backend, and employs RGBD point clouds for texture coloring.

img_lib

My personal image lib.

imu_pgd_calibration

An imu calibration task based on projected gradient descent(PGD)

jimazeyu.github.io

My personal github.io

lio_navigation

Generate point cloud maps using FAST-LIO-SAM, localize using FAST-LIO-Localization-QN. Extract traversable areas using TRAVEL, compress into a 2D map, and perform path planning using move_base.

mapping_mcpp_navigation

A basic package for 2D SLAM, multi-robot path planning and multi-point navigation.

omni_ekf_slam

An EKF_SLAM based on omnidirectional motion, expanding the state and covariance matrix as new landmarks are detected.

omp_python

Finding Sparse Solutions via Orthogonal Matching Pursuit (OMP)

rb5_roomba

A Roomba-like robot based on the Qualcomm Robotics RB5 platform.

robot_network_simulator

A robot-network expansion system with regular triangle strategy

slam_in_python

Some SLAM Notes (Including Linear Algebra, Geometry, Probability Theory, Front-End Matching, Back-End Optimization, and more)

slam_method_evaluation

Using a virtual simulation environment for SLAM, record both the real pose and the SLAM estimated pose, and save them in TUM format. Use evo to calculate the error. After saving the map with the stage simulation, you can view the error between the saved map's edge point cloud and the ground truth.

jimazeyu Goto Github PK

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