Range Image-based LiDAR Localization for Autonomous Vehicles Using Mesh Maps (chen2021icra)

chen2020iros: Learning an Overlap-based Observation Model for 3D LiDAR Localization.

Online Range Image-based Pole Extractor for Long-term LiDAR Localization in Urban Environments

MCL, the Markov Cluster algorithm, also known as Markov Clustering, is a method and program for clustering weighted or simple networks, a.k.a. graphs.

6D Monte Carlo Localization in 3D TSDF maps

一个可以在mcl中运行的模拟原神抽卡的机器人插件

Macintosh Common Lisp 6

Library for functional graph & geometry algorithms

AMCL(Adaptive Monte Carlo Localization) using 3D LiDAR for ROS.

Multirobot cooperative localization using the Particles Intersection algorithm

Cooperative localization algorithm, applied in ROS. Using the particles intersection algorithm to fuse the particles each MCL produces.

MCL Markov Clustering in APL

An old library of UI widgets for Macintosh Common LISP

MCL kernel verification library

a memory-efficient implementation of Markov Clustering Algorithm for large-scale of networks

Equivalent Exchange/ProjectE for Minetest Game and MineClone2/Mineclonia

An old project manager UI for Macintosh Common LISP 3.0 and the DEFSYSTEM build system

PS-MCL : Parallel Shotgun Coarsening Markov Clustering for Fast and Efficient Graph Clustering

Monte Carlo Localization Library for FTC

A 2D navigation metapackage for AMR (Autonomous Mobile Robot)