137 Open source projects that are alternatives of or similar to Pandar40_SDK

(ROS) Sensor fusion algorithm for camera+lidar.

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

My small SLAM simulator to study "SLAM for dummies"

[ICCV2021 Oral] Fooling LiDAR by Attacking GPS Trajectory

ArcGIS Python Toolbox for WhiteboxTools

LiDAR SLAM = FAST-LIO + Scan Context

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

NCSU GIS595/MEA792: UAV/lidar Data Analytics

Poisson Surface Reconstruction for LiDAR Odometry and Mapping

GPS calibration using points cloud slam and other sensors

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

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

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

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

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

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

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

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

Papers on 3D Object Detection for Autonomous Driving

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

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

A Modular Framework for LiDAR-based Lifelong Mapping

ROS Catkin package to track people using octree and cluster extraction

A collection of docker environments for 3D SLAM packages

An interactive GUI for WhiteboxTools in a Jupyter-based environment

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.

Probabilistic line extraction from 2-D range scan

Open-Source LiDAR Time Synchronization System by Mimicking GPS-clock

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

python codes for remote sensing applications will be uploaded here. I will try to teach everything I learn during my projects in here.

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

GEDI L3 and L4 Tutorials

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

LiDAR fog simulation

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

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

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

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

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

Sweep SDK

Development kit for Pandora

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

This repo detect objects automatically for LiDAR data

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

No description or website provided.

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

Collection of Python snippets for processing LiDAR point cloud.

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

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

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.

open source slam system notes

Robotic simulation in Unity with ROS integration.

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

Ros nodes for single TeraRanger sensors

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

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

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

Direct LiDAR Odometry: Fast Localization with Dense Point Clouds

TensorFlow training pipeline and dataset for prediction of evidential occupancy grid maps from lidar point clouds.