There are 3 repositories under lidar-data topic.
Ground segmentation benchmark in SemanticKITTI dataset
A plugin for Grand Theft Auto V that generates a labeled LiDAR point cloud from the game environment.
[IEEE TGRS 2020] Official Tensorflow implementation for Change Detection in Multisource VHR Images via Deep Siamese Convolutional Multiple-Layers Recurrent Neural Network
Virtual Generation of Lidar Data for Autonomous Vehicles
LiDAR Guide
Sensor fusion between IMU, GNSS and Lidar data using an Error State Extended Kalman Filter.
Open LiDAR Toolbox is a QGIS Plugin for ALS Data by Stefan Eichert, Benjamin Štular and Edisa Lozić 2021
Using the KITTI dataset, we employed Open3D to visualize, downsample, segment with RANSAC, cluster via DBSCAN, create 3D bounding boxes, and perform surface reconstruction on point clouds.
Ground Segmentation Package in ROS.
This project allows users to use LiDAR data to identify trees on specific coordinates.
Utilized an Extended Kalman Filter and Sensor Fusion to estimate the state of a moving object of interest with noisy lidar and radar measurements. The project involved utilzing lidar data (Point Cloud) for position and radar data (Doppler) for radial velocity.
Plugin to generate a three light exposure hillshade (shaded relief by combining three light exposures)
Code and documents to support the Thesis: Progress Towards LiDAR Based Bicycle Detection in Urban Environments Edit Add topics
Python Command line application (CLI) to delineate single trees from LiDAR data, DOM and DTM.
Sorted Pulse Data (SPD) LiDAR processing tools.
PyTorch implementation of ComplexYOLO. This Repository is meant for students to learn object detection and working with LiDAR/RADAR datasets.
Simplifying LIDAR point cloud processing and rapid prototyping
VOSTOK, the Voxel Octree Solar Toolkit, is a C++ command-line tool to compute a detailed model of incoming solar radiation distribution on a patch of land, including structures like buildings and vegetation, represented by a 3D point cloud data set.
Sensor fusion between Odometry and Lidar data using an Extended Kalman Filter.
📷 Creates and maps a point cloud of your environment and nearby objects using LIDAR, Arduino, and Unreal Engine 4.
LiDAR-Based Robot Localization with Deep Learning
Apply machine learning approaches to identify vegetation classes using topographic, spectral and spatial variables.
Telenav Sensor Fusion Project
This repository contains class-work and practice examples for the camera, RADRA, and LiDAR data processing for object detection. Deep learning methods are used for object detection from an image.
Example how to visualize the sensor data of YLidars-Lidarsensors and visualize it with the PCL-Library
📡 Automatic Driving LiDAR Spoofing Forensics Datasets
UST-10LX LiDAR communication program for INTech's robot
Above ground biomass estimation of Finland's boreal forest using Sentinel time series data
Contains supporting files for the guide for generating tiles from lidar data/raster data, for Terra++, in the Terra++ WiKi
All the scripts used for the processing of LiDAR data to make mapant.fr
Simulation of a LiDAR (Light Detection and Ranging) sensor
A python package that is used to load, fetch, visualise, and transform publicly available LIDAR data found in Amazon's s3 bucket.
This is a budget-friendly, homemade 3D LiDAR scanner built using an Arduino/ESP32, capable of providing full 360° scans of an environment at 2 Hz. With an eye towards invigorating innovation in robotics and autonomous systems, this project attests to the untapped potential of low-cost, open-source hardware.