使用 Mid360 激光雷达完成 Fast-LIO2 里程计 + Ego-Planner 规划算法

An open-source hardware-synchronized handheld device for FAST-LIVO.

A Fast and Tightly-coupled Sparse-Direct LiDAR-Inertial-Visual Odometry (LIVO).

这是Point-LIO的中文注释版本，添加了一些修改代码

FAST-LIVO2: Fast, Direct LiDAR-Inertial-Visual Odometry

A ros tool for converting Robosense pointcloud to Velodyne pointcloud format.

A SLAM implementation combining FAST-LIO2 with pose graph optimization and loop closing based on Quatro and Nano-GICP

ImMesh: An Immediate LiDAR Localization and Meshing Framework

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

T-LOAM: Truncated Least Squares Lidar-only Odometry and Mapping in Real-Time

A LiDAR odometry pipeline that just works

[CVPR'24 Oral] Official repository of Point Transformer V3 (PTv3)

A faster implementation of PointNet++ based on PyTorch.

cartographer work space with detailed comments

Implementation of Tightly Coupled 3D Lidar Inertial Odometry and Mapping (LIO-mapping)

Surfel-based Mapping for 3d Laser Range Data (SuMa)

SuMa++: Efficient LiDAR-based Semantic SLAM (Chen et al IROS 2019)

(LMNet) Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach Exploiting Sequential Data (RAL/IROS 2021)

Remove then revert (IROS 2020)

CT-ICP: Continuous-Time LiDAR Odometry

LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping

PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

Inference module for RangeNet++ (milioto2019iros, chen2019iros)

semantic_slam from rangenet_lib

UrbanLoco: A Full Sensor Suite Dataset for Mapping and Localization in Urban Scenes

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…