Range Image-based LiDAR Localization for Autonomous Vehicles Using Mesh Maps (chen2021icra)
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Updated
Jun 27, 2023 - Python
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.
Multirobot cooperative localization using the Particles Intersection algorithm
Helper library for MeridianLink's SmartAPI interface
Cooperative localization algorithm, applied in ROS. Using the particles intersection algorithm to fuse the particles each MCL produces.
Equivalent Exchange/ProjectE for Minetest Game and MineClone2/Mineclonia
An example project with instructions on how to use cryptimeleon on android.
AMCL(Adaptive Monte Carlo Localization) using 3D LiDAR for ROS.
Library for functional graph & geometry algorithms
An old library of UI widgets for Macintosh Common LISP
An old project manager UI for Macintosh Common LISP 3.0 and the DEFSYSTEM build system
Mobile Collaborative Learning Platform (Android App)
a memory-efficient implementation of Markov Clustering Algorithm for large-scale of networks
Power Strip and Smart Plug home assistant custom component for Revogi based devices
Implementations of Markov Clustrer Algorithm (MCL) and Regularized Markov Cluster Algorithm (R-MCL) in Apache Spark
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