137 Open source projects that are alternatives of or similar to Pyfor

Behind the Curtain: Learning Occluded Shapes for 3D Object Detection

Direct LiDAR Odometry: Fast Localization with Dense Point Clouds

LiDAR SLAM: Scan Context + LeGO-LOAM

T-LOAM: Truncated Least Squares Lidar-only Odometry and Mapping in Real-Time

My small SLAM simulator to study "SLAM for dummies"

Object (e.g Pedestrian, vehicles) tracking by Extended Kalman Filter (EKF), with fused data from both lidar and radar sensors.

NCSU GIS595/MEA792: UAV/lidar Data Analytics

DJI Onboard SDK Official Repository

LiDAR SLAM = FAST-LIO + Scan Context

An extension of Open3D to address 3D Machine Learning tasks

Code for Langer et al. "Domain Transfer for Semantic Segmentation of LiDAR Data using Deep Neural Networks", IROS, 2020.

GPS calibration using points cloud slam and other sensors

ICRA 2019 "Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera"

Papers on 3D Object Detection for Autonomous Driving

ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences"

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

Interactive Map Correction for 3D Graph SLAM

ROS Catkin package to track people using octree and cluster extraction

3D LIDAR-based Graph SLAM

Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks

R package for airborne LiDAR data manipulation and visualisation for forestry application

State of the art autonomous navigation scripts using Ai, Computer Vision, Lidar and GPS to control an arducopter based quad copter.

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

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

KITTI data processing and 3D CNN for Vehicle Detection

Development kit for Pandar40

open source slam system notes

loam code noted in Chinese（loam中文注解版）

Development kit for Pandora

Advanced implementation of LOAM

R package to read and write las and laz files used to store LiDAR data

SuMa++: Efficient LiDAR-based Semantic SLAM (Chen et al IROS 2019)

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

This repository provides awesome research papers for autonomous driving perception. If you do find a problem or have any suggestions, please raise this as an issue or make a pull request with information (format of the repo): Research paper title, datasets, metrics, objects, source code, publisher, and year.

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

The Point Processing Toolkit (pptk) is a Python package for visualizing and processing 2-d/3-d point clouds.

Real-time LIDAR-based Urban Road and Sidewalk detection for Autonomous Vehicles 🚗

The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"

No description or website provided.

Point cloud registration pipeline for robot localization and 3D perception

A tool used for calibrate the extrinsic between 2D laser range finder (LRF) and camera. ROS Version: https://github.com/TurtleZhong/camera_lidar_calibration_v2

Weakly Supervised 3D Object Detection from Point Clouds (VS3D), ACM MM 2020

Probabilistic line extraction from 2-D range scan

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

OpenDLV - A modern microservice-based software ecosystem powered by libcluon to make vehicles autonomous.

🚕 Fast and robust clustering of point clouds generated with a Velodyne sensor.

Official page of Patchwork (RA-L'21 w/ IROS'21)

OverlapNet - Loop Closing for 3D LiDAR-based SLAM (chen2020rss)

PyLidar3 is python 3 package to get data from Lidar devices from various manufacturers.

Read and write ASPRS las files, Rust edition.

This repo detect objects automatically for LiDAR data

Predict dense depth maps from sparse and noisy LiDAR frames guided by RGB images. (Ranked 1st place on KITTI)

Collection of Python snippets for processing LiDAR point cloud.

Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving

The open-source tool for creating of 3D models

A curated list of awesome data labeling tools

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

Mapping wetland hydrological dynamics using Google Earth Engine (GEE)

Open Source TOF Lidar

VeloView performs real-time visualization and easy processing of live captured 3D LiDAR data from Velodyne sensors (Alpha Prime™, Puck™, Ultra Puck™, Puck Hi-Res™, Alpha Puck™, Puck LITE™, HDL-32, HDL-64E). Runs on Windows, Linux and MacOS