204 Open source projects that are alternatives of or similar to PointPainting

Papers on 3D Object Detection for Autonomous Driving

LiDAR SLAM: Scan Context + LeGO-LOAM

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

Create 3D labelled bounding boxes in RViz

(ROS) Sensor fusion algorithm for camera+lidar.

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

A Modular Framework for LiDAR-based Lifelong Mapping

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

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

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

loam code noted in Chinese（loam中文注解版）

Read and write ASPRS las files, Rust edition.

Full-python LiDAR SLAM using ICP and Scan Context

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.

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

Robotic simulation in Unity with ROS integration.

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

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

A plugin for Grand Theft Auto V that generates a labeled LiDAR point cloud from the game environment.

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

Julia bindings for the displaz lidar viewer

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

Example Of iOS ARKit LiDAR

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

GEDI L3 and L4 Tutorials

Adaptive Surface Reconstruction for 3D Data Processing

No description or website provided.

[NeurIPS2021] Code Release of K-Net: Towards Unified Image Segmentation

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

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

A collection of docker environments for 3D SLAM packages

LiDAR fog simulation

Sweep SDK

ROS package for NDT-PSO, a 2D Laser scan matching algorithm for SLAM

ROS2 package of 3D LIDAR-based Localization using PCL (Not SLAM)

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

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

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

Global L0 algorithm for regularity-constrained plane fitting

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

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.

[ICCV2021 Oral] Fooling LiDAR by Attacking GPS Trajectory

Experiments with UNET/FPN models and cityscapes/kitti datasets [Pytorch]

Poisson Surface Reconstruction for LiDAR Odometry and Mapping

Visualizing lidar data using Uber Autonomous Visualization System (AVS) and Jupyter Notebook Application

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

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

Delaunay and Constrained Delaunay Triangulations in Java, providing high-performance utilities for modeling surfaces with support for Lidar LAS files, Digital Elevation Models (DEM), finite element analysis, path planning, natural neighbor interpolation, and other applications of Triangulated Irregular Networks (TIN)

[ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution

Intensity-based_Lidar_Camera_Calibration

"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.

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

Python bindings for the Point Cloud Library (PCL)

C++ library and programs for reading and writing ASPRS LAS format with LiDAR data

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

使用树莓派3b来实现无人驾驶汽车

A Modular Optimization framework for Localization and mApping (MOLA)

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

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

Drivers for receiving LiDAR data and more