An open autonomous driving platform

LiDAR SLAM = FAST-LIO + Scan Context

backup of irapkaist/scancontext

Front_end : fastlio2 Back_end : lio_sam

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

Postgraduate Thesis: fast_lio_sam + dynamic removal (T-GRS 2024) + multi-session mapping (ICRA 2022 Kim) + object-level update + online relocalization (ICRA 2025) + real-world application (MD-LVIO)

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

XLeRobot: Practical Dual-Arm Mobile Home Robot for $660

[IROS 2024] A LiDAR-inertial odometry (LIO) package that can adjust the execution frequency beyond the sweep frequency

Slam Toolbox for lifelong mapping and localization in potentially massive maps with ROS

LiDAR Iris for Loop-Closure Detection(IROS 2020)

A ROS-based solution to clear point cloud data by removing dynamic objects for mapping.

[T-IM 2025] TRLO: An Efficient LiDAR Odometry with 3D Dynamic Object Tracking and Removal

The First Dynamic Map Removal Benchmark | Included 8 SOTA methods | Continous updating

C++ implementation of the M2DP algorithm.

A 3D point cloud descriptor for place recognition

LiDAR SLAM: BoW3D (22' RA-L) + Scan Context (18 IROS) + LeGO-LOAM (18 IROS)

The page for PaGO-LOAM: Robust Ground-Optimized LiDAR Odometry

LeGO-LOAM, LIO-SAM, LVI-SAM, FAST-LIO2, Faster-LIO, VoxelMap, R3LIVE, Point-LIO, KISS-ICP, DLO, DLIO, Ada-LIO, PV-LIO, SLAMesh, ImMesh, FAST-LIO-MULTI, M-LOAM, LOCUS, SLICT, MA-LIO, CT-ICP, GenZ-IC…

IDDM (Industrial, landscape, animate, latent diffusion), support LDM, DDPM, DDIM, PLMS, webui and distributed training. Pytorch实现扩散模型，生成模型，分布式训练

《自动驾驶中的SLAM技术》对应开源代码

This code describe an algorithm of Path Planning using Exact Cell Decomposition method.

Two path-planning algorithms for finding paths in a known environment - RRT(Randomly Exploring Random Forest) and Vertical Cell Decomposition

a theme for Typora(a markdown editor), designed for chinese essay

Common used path planning algorithms with animations.

C++ RRT (Rapidly-exploring Random Tree) Implementation

Coverage planning in general polygons with holes.