240 Open source projects that are alternatives of or similar to continuous-fusion

😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.

A Modular Framework for LiDAR-based Lifelong Mapping

Create 3D labelled bounding boxes in RViz

An extended Kalman Filter implementation in C++ for fusing lidar and radar sensor measurements.

Tensorflow implementation of Learning Topology from Synthetic Data for Unsupervised Depth Completion (RAL 2021 & ICRA 2021)

Self Driving Car Project 6 - Sensor Fusion(Extended Kalman Filter)

level-of-details toolkit(LTK). Convert osgb lod tree to 3mx tree. Convert pointcloud in ply/las/laz/xyz to 3mx/osgb tree.

Full-python LiDAR SLAM using ICP and Scan Context

Filters: KF, EKF, UKF || Process Models: CV, CTRV || Measurement Models: Radar, Lidar

Project the PointCloud to the image & Generate the LiDAR PointCloud with color.

loam code noted in Chinese（loam中文注解版）

Read and write ASPRS las files, Rust edition.

LiDAR SLAM: Scan Context + LeGO-LOAM

[CVPR 2021] SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration

Migrated to: https://gitlab.com/Oslandia/lopocs

3D model exchange format with physical material properties for virtual development, test and validation of automated driving.

This repository is an open-source PointPainting package which is easy to understand, deploy and run!

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

An open source autonomous driving research platform for Active SLAM & Multisensor Data Fusion

🔬 Scientific computing library for optics 🔭, computer graphics 💻 and visual perception 👀

A tool for automatically generating 3D printable STLs from freely available lidar scan data.

Get the best AHRS accuracy out of the Tlera USFS with good sensor calibration

Hoverboard sideboard hack for GD32 boards

Given a map data (image + lidar), estimate the 6 DoF camera pose of the query image.

The research project based on Semantic KITTTI dataset, 3d Point Cloud Segmentation , Obstacle Detection

Collection of auditory models.

A ground segmentation algorithm for 3D point clouds based on the work described in “Fast segmentation of 3D point clouds: a paradigm on LIDAR data for Autonomous Vehicle Applications”, D. Zermas, I. Izzat and N. Papanikolopoulos, 2017. Distinguish between road and non-road points. Road surface extraction. Plane fit ground filter

Official version of 'Weakly Supervised 3D object detection from Lidar Point Cloud'(ECCV2020)

A Parametric Framework to Generate Visual Illusions using Python

"From Voxel to Point: IoU-guided 3D Object Detection for Point Cloud with Voxel-to-Point Decoder" and "Anchor-free 3D Single Stage Detector with Mask-Guided Attention for Point Cloud" in ACM MM 2021.

Poisson Surface Reconstruction for LiDAR Odometry and Mapping

An algorithm for projecting three-dimensional laser point cloud data into serialized two-dimensional images.

This is a package for LiDARTag, described in paper: LiDARTag: A Real-Time Fiducial Tag System for Point Clouds

MOLA module: Front-end for point-cloud sensors based on generic ICP algorithms. LiDAR odometry and loop closure.

Julia bindings for the displaz lidar viewer

A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package

[3DV 2021] DSP-SLAM: Object Oriented SLAM with Deep Shape Priors

[WACV2022] ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection

Text to abstract art generation for the holidays!

Roof Classification, Segmentation, and Damage Completion using 3D Point Clouds

ECCV 2020 papers focusing on point cloud analysis

List of commonly used robotics libraries and packages

Perception of Autonomous mobile robot,Using ROS,rs-lidar-16,By SLAM,Object Detection with Yolov5 Based DNN

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

CJMCU-531 and ESP32 Web Demo interfacing to a VL53L1X IR time-of-flight sensor

Example Of iOS ARKit LiDAR

Global L0 algorithm for regularity-constrained plane fitting

Conversion from ROSBAG (.bag) to image (.png) and points cloud (.bin), including ROSBAG decoding, pcd2bin and file directory extraction.

Graduation Project: A point cloud semantic segmentation and VIO based 3D reconstruction method using RGB-D and IMU

LeGO-LOAM, LIO-SAM, LVI-SAM, FAST-LIO2, Faster-LIO, VoxelMap, R3LIVE application and comparison on Gazebo and real-world datasets. Installation and config files are provided.

Multi-scale Interaction for Real-time LiDAR Data Segmentation on an Embedded Platform (RA-L)

ArcGIS Python Toolbox for WhiteboxTools

[ICRA 2020] Train generalizable policies for kit assembly with self-supervised dense correspondence learning.

recognize and localize an object in 3D Point Cloud scene using VFH - SVMs based method and 3D-CNNs method

ROS2 package of tightly-coupled lidar inertial ndt/gicp slam

A Collection of LiDAR-Camera-Calibration Papers, Toolboxes and Notes

pyGEDI is a Python Package for NASA's Global Ecosystem Dynamics Investigation (GEDI) mission, data extraction, analysis, processing and visualization.

Sweep SDK

Preprocessing, coordinate frame calibration, configuration files, and launching procedure used to generate point clouds with Google Cartographer for the RadMAP acquisition system. The RadMAP acquisition system consists of two LIDARS, differential GPS, two Ladybug 360 cameras, and an IMU.

Automatic Calibration for Non-repetitive Scanning Solid-State LiDAR and Camera Systems