lbhwyy

RMI

This is the code for the NeurIPS 2019 paper Region Mutual Information Loss for Semantic Segmentation.

ros_motion_planning

Motion planning and Navigation of AGV/AMR：ROS planner plugin implementation of A*, JPS, D*, LPA*, D* Lite, Theta*, RRT, RRT*, RRT-Connect, Informed RRT*, ACO, PSO, Voronoi, PID, LQR, MPC, DWA, APF, Pure Pursuit etc.

mpc_local_planner

A nonlinear MPC used to control an autonomous car.

eskf-gps-imu-fusion

误差状态卡尔曼ESKF滤波器融合GPS和IMU，实现更高精度的定位

algorithm_learning

POT

POT : Python Optimal Transport

ShiArthur03

awesome-point-cloud-registration

A curated list of point cloud registration.

Kalman

Some Python Implementations of the Kalman Filter

srf_laser_odometry

Robust Planar Odometry Based on Symmetric Range Flow and Multi-Scan Alignment

LIO-SAM_based_relocalization

A simple system that can relocalize a robot on a built map is developed in this system. The system is based on LIO-SAM.

MMT

[ICLR-2020] Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification.

learning_research

本人的科研经验

lidar_snow_removal

This repo is a set of nodes for ROS to filter point clouds with the goal of removing snow in Lidar data.

CADCD_TO_KITTI

cadc_devkit

A devkit for the Canadian Adverse Driving Conditions (CADC) dataset.

awesome-multi-robot-system

Recent multi-robot projects and papers: Including SLAM, place recognition, Large Language Models navigation. (continually updated)

f1tenth

MOSE

Multi-level Online Sequential Experts (MOSE) for online continual learning problem. (CVPR2024)

ICRA2024PaperList

ICRA2024 Paper List

ntu_viral_dataset

GrAco

A Multimodal-Heterogeneous Dataset for Ground and Aerial Cooperative Localization and Mapping

Awesome-3D-LiDAR-Datasets

This reposiotry is the collection for public 3D LiDAR datasets

LiDAR-Registration-Benchmark

LiDAR-based 3D global registration benchmark.

GCNet

Leveraging Inlier Correspondences Proportion for Point Cloud Registration. https://arxiv.org/abs/2201.12094.

spherical-cnn

Demo code for the paper "Learning SO(3) Equivariant Representations with Spherical CNNs"

SC3K

Repository of the ICCV23 paper "SC3K: Self-supervised and Coherent 3D Keypoints Estimation from Rotated, Noisy, and Decimated Point Cloud Data"

SphereNet

[IEEE TGRS] SphereNet: Learning a Noise-Robust and General Descriptor for Point Cloud Registration

DeepGlobalRegistration

[CVPR 2020 Oral] A differentiable framework for 3D registration

FCGF

Fully Convolutional Geometric Features: Fast and accurate 3D features for registration and correspondence.