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Search results for localization lidar

65 search results found

Fast LOAM: Fast and Optimized Lidar Odometry And Mapping for indoor/outdoor localization IROS 2021

Dynamic_robot_localization ⭐ 660

Point cloud registration pipeline for robot localization and 3D perception

Direct_lidar_odometry ⭐ 642

[IEEE RA-L & ICRA'22] A lightweight and computationally-efficient frontend LiDAR odometry solution with consistent and accurate localization.

Cv Arxiv Daily ⭐ 631

🎓Automatically Update CV Papers Daily using Github Actions (Update Every 12th hours)

Hdl_localization ⭐ 570

Real-time 3D localization using a (velodyne) 3D LIDAR

Scancontext ⭐ 458

Global LiDAR descriptor for place recognition and long-term localization

Mcl_3dl ⭐ 441

A ROS node to perform a probabilistic 3-D/6-DOF localization system for mobile robots with 3-D LIDAR(s). It implements pointcloud based Monte Carlo localization that uses a reference pointcloud as a map.

Kapture ⭐ 416

kapture is a file format as well as a set of tools for manipulating datasets, and in particular Visual Localization and Structure from Motion data.

Open3d_slam ⭐ 376

Pointcloud-based graph SLAM written in C++ using open3D library.

Lidarslam_ros2 ⭐ 365

ROS 2 package of 3D lidar slam using ndt/gicp registration and pose-optimization

Direct_lidar_inertial_odometry ⭐ 339

[IEEE ICRA'23] A new lightweight LiDAR-inertial odometry algorithm with a novel coarse-to-fine approach in constructing continuous-time trajectories for precise motion correction.

A Modular Optimization framework for Localization and mApping (MOLA)

Iscloam ⭐ 231

Intensity Scan Context based full SLAM implementation for autonomous driving. ICRA 2020

Range Mcl ⭐ 230

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

LOL: Lidar-only Odometry and Localization in 3D point cloud maps

Lidar_localization_ros2 ⭐ 169

3D LIDAR Localization using NDT/GICP and pointcloud map in ROS 2 (Not SLAM)

Urbannavdataset ⭐ 169

UrbanNav: an Open-Sourcing Localization Data Collected in Asian Urban Canyons, Including Tokyo and Hong Kong

DLL: Direct Lidar Localization

Overlap_localization ⭐ 155

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

Iros2020 Paper List ⭐ 150

IROS2020 paperlist by paopaorobot

Icp_localization ⭐ 140

This package provides localization in a pre-built map using ICP and odometry (or the IMU measurements).

Hdl_people_tracking ⭐ 139

Real-time people tracking using a 3D LIDAR

Pole Localization ⭐ 129

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

Lidar_imu_localization ⭐ 125

Lidar-IMU Localization System with Prior Map Constraint and Lio Constraint

Sc A Loam ⭐ 119

Robust LiDAR SLAM with a versatile plug-and-play loop closing and pose-graph optimization.

GLIO: Tightly-Coupled GNSS/LiDAR/IMU Integration for Continuous and Drift-free State Estimation

Urbanloco ⭐ 111

UrbanLoco: A Full Sensor Suite Dataset for Mapping and Localization in Urban Scenes

Decentralized_loam ⭐ 110

Graph_msf ⭐ 103

A graph-based multi-sensor fusion framework. It can be used to fuse various relative or absolute measurments with IMU readings in real-time.

Mobile Robot Localization in 3D Triangle Meshes

Awesome Vacuum ⭐ 91

A curated list of free and open source software and hardware to build and control a robot vacuum.

Code for "CMRNet: Camera to LiDAR-Map Registration" (ITSC 2019) - WIP

Python code of the paper "Learning Wheel Odometry and IMU Errors for Localization"

Ndt_mapping ⭐ 47

Baidu apollo offline mapping tool

Ndt_localizer ⭐ 32

A simple, clean NDT licalization ROS package.

Mcl_2d_lidar_ros ⭐ 32

Monte Carlo Localization (MCL) using 2D LiDAR on Robot Operating System (ROS)

Simple ROS 2 Navigation Stack with C++ Implementation

Sasensorfusionlocalization ⭐ 30

Sensor Fusion and Localization related projects of Udacity's Self-driving Car Nanodegree Program:

Eskf All In One Open ⭐ 26

Error State Kalman Filter All in One, from Theory to Practice.

Littleslam_ros2 ⭐ 25

A ROS2 Wrapper for LittleSLAM, which is a 2D-LiDAR SLAM for educational use

Localization with LiDAR, GNSS/INS and ortho image map

Advoard_localization ⭐ 22

ROS localization with uwb, odom and lidar using kalman filter method

A_survey_of_slam ⭐ 22

The source file of paper in Latex and frame in Visio and XMind (A Survey of Simultaneous Localization and Mapping)

Normaldistributiontransform2d ⭐ 22

Python sample code of 2D NDT Scan Matching

Stairwaydetection ⭐ 18

Repository for Stairway Detection using PointCloud Data

Sick_lidar_localization ⭐ 18

Multi-person 3D panoramic localization tracking

Open Basemap ⭐ 17

More details at:

A test simulation of all projects and models from time to time.

Awesome_slam_kr_list ⭐ 13

Tsdf_localization ⭐ 12

6D Monte Carlo Localization in 3D TSDF maps

Slampaperlib ⭐ 12

collection of papers in slam...

Long-Term Urban Vehicle Localization Using Pole Landmarks Extracted from 3-D Lidar Scans

Oscp Geopose Protocol ⭐ 10

OSCP GeoPose Protocol

Dash Sdk ⭐ 10

d.ASH - Digital Autonomy Services Hub, a High Performance Robot Autonomy Stack for remote operational requirements

A fast ICP SLAM implementation for FRC robots

Robot Localization

Slam Urbannav Dataset ⭐ 8

Sensor fusion, state estimation, localization and mapping using the UrbanNav dataset in ROS

DelyBot is a robot that uses six wheels to drive itself along pedestrian paths but also on public roads to reach requested delivery addresses.

Particle Filter ⭐ 7

A Particle Filter algorithm which could be used to localize an autonomous system such as a UAV or a self-driving car.

Slam Project On Android ⭐ 6

2D SLAM (Simultaneous Localisation and Mapping) on an Android device

Lidar_eskf ⭐ 6

Kalman_filter_for_localization_using_python ⭐ 5

Kalman filters are really good at taking noisy sensor data and smoothing out the data to make more accurate predictions. For autonomous vehicles, Kalman filters can be used in object tracking. A Kalman filter does this by weighing the uncertainty in your belief about the location versus the uncertainty in the lidar or radar measurement. If your belief is very uncertain, the Kalman filter gives more weight to the sensor. If the sensor measurement has more uncertainty, your belief about the locati

Project Report ⭐ 5

Simultaneous Localization and Mapping using particle filters

Grid_localization ⭐ 5

Elevation grid map based localization using LiDAR sensor

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