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Vincent Kee's Projects

apollo icon apollo

An open autonomous driving platform

filterpy icon filterpy

Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.

kalman-and-bayesian-filters-in-python icon kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

kiss-icp icon kiss-icp

KISS-ICP: In Defense of Point-to-Point ICP – Simple, Accurate, and Robust Registration If Done in the Right Way https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/vizzo2023ral-iros.pdf

laser_slam icon laser_slam

This package provides an end-to-end system to laser-based graph SLAM using laser point clouds.

lego-loam icon lego-loam

LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain

lio-sam icon lio-sam

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

loam_velodyne icon loam_velodyne

Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.

models icon models

Models and examples built with TensorFlow

patchwork icon patchwork

SOTA fast and robust ground segmentation using 3D point cloud (accepted in RA-L'21 w/ IROS'21)

pcl_online_viewer icon pcl_online_viewer

A minimal point cloud viewer (and grabber) for ROS based on PCL's PCLVisualizer

quatro icon quatro

Fast and robust global registration for terrestrial robots @ ICRA2022

rss_team2 icon rss_team2

Repository for 6.141 Robotics Science and Systems Team 2 Spring 2015

segmatch icon segmatch

A 3D segment based loop-closure algorithm

slam icon slam

SLAM Implementation for 6.834 Grand Challenge 2017

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