Weitong Wu's repositories

AutoMerge_Server

AutoMerge: A Framework for Map Assembling and Smoothing in City-scale Environments

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DBScan-PCL-Optimized

DBScan algorithm using Octrees to cluster 3D points in a space with PCL Library

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FAST_LIO

A computationally efficient and robust LiDAR-inertial odometry (LIO) package

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Coco-LIC

[RA-L 2023] Coco-LIC: Continuous-Time Tightly-Coupled LiDAR-Inertial-Camera Odometry using Non-Uniform B-spline

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dm-vio

Source code for the paper DM-VIO: Delayed Marginalization Visual-Inertial Odometry

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dm-vio-python-tools

Python tools for running and evaluating DM-VIO.

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dm-vio-ros

ROS wrapper for DM-VIO: Delayed Marginalization Visual-Inertial Odometry

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fast_gicp

A collection of GICP-based fast point cloud registration algorithms

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HyperSLAM

Modular, open-source implementations of continuous-time simultaneous localization and mapping algorithms.

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ICRA-2022-SLAM-paper-list

Unofficial ICRA 2022 SLAM paper list

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IKFoM

A computationally efficient and convenient toolkit of iterated Kalman filter.

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imu_zupt

ZUPT Algorithm for filtering the IMU's data.

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LiCaS3

[T-RO 2022] Official Implementation for "LiCaS3: A Simple LiDAR–Camera Self-Supervised Synchronization Method," in IEEE Transactions on Robotics, doi: 10.1109/TRO.2022.3167455.

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LIO_SAM_6AXIS

LIO_SAM for 6-axis IMU and low-cost GNSS.

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livox_detection

Livox open source detection algorithm

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livox_repub

republish livox raw message to standard pointcloud2

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LOCUS

Robust Lidar Odometry System

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M2DGR

M2DGR: a Multi-modal and Multi-scenario Dataset for Ground Robots

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Madgwick_Filter

A quaternion based sensor fusion algorithm that fuses accelerometers and gyroscopes and optionally magnetometers

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make_it_dense

Make it Dense: Self-Supervised Geometric Scan Completion of Sparse 3D LiDAR Scans in Large Outdoor Environments

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nebula-odometry-dataset

Ready to test your SLAM system in challenging datasets from extreme environments? Try this out! The dataset is provided by the Team CoSTAR that has been intensively testing multi-robot systems in real world environments such as caves, tunnels, abandoned factories and industrial plants for the DARPA Subterranean Challenge.

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R-VIO2

Square-Root Robocentric Visual-Inertial Odometry with Online Spatiotemporal Calibration

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r2live

R2LIVE is a robust, real-time tightly-coupled multi-sensor fusion framework, which fuses the measurement from the LiDAR, inertial sensor, visual camera to achieve robust, accurate state estimation.

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ros_noetic_on_jammy

Scripts for installing ROS Noetic on Ubuntu 22.04

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rosbag_editor

Create a rosbag from a given one, using a simple GUI

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sensor-fusion-for-localization-and-mapping

深蓝学院 多传感器定位融合第四期 学习笔记

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sparseicp

Automatically exported from code.google.com/p/sparseicp

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UV-SLAM

Official page of UV-SLAM (RA-L with ICRA2022 option)

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VoxelMap

[RA-L 2022] An efficient and probabilistic adaptive voxel mapping method for LiDAR odometry

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