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lidarslam's Projects

cartographer icon cartographer

Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.

extended_kalman_filter_cpp icon extended_kalman_filter_cpp

An Extended Kalman Filter (that uses a constant velocity model) in C++. This EKF fuses LIDAR and RADAR sensor readings to estimate location (x,y) and velocity (vx, vy).

hector_slam icon hector_slam

hector_slam contains ROS packages related to performing SLAM in unstructed environments like those encountered in the Urban Search and Rescue (USAR) scenarios of the RoboCup Rescue competition.

kidnapped-vehicle-project icon kidnapped-vehicle-project

This is a self-driving-car project about identifying cars' locations based on GPS information, Lidar mesurements and Particle Filter techniques

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

libpointmatcher icon libpointmatcher

An "Iterative Closest Point" library for 2-D/3-D mapping in Robotics

lidar_align icon lidar_align

A simple method for finding the extrinsic calibration between a 3D lidar and a 6-dof pose sensor

loam_velodyne icon loam_velodyne

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

rplidar_workspace icon rplidar_workspace

Repository designed for the Raspberry Pi 3 containing work on the RPLIDAR A2M8 Lidar along with the Zumo 32U4. This repository makes use of multiple open source libraries to achieve SLAM mapping alongside robot traversals.

segmatch icon segmatch

A 3D segment based loop-closure algorithm

suma icon suma

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

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