pyGEDIpyGEDI is a Python Package for NASA's Global Ecosystem Dynamics Investigation (GEDI) mission, data extraction, analysis, processing and visualization.
Stars: ✭ 55 (-9.84%)
Mutual labels: lidar, gedi
camera-pose-estimationGiven a map data (image + lidar), estimate the 6 DoF camera pose of the query image.
Stars: ✭ 23 (-62.3%)
Mutual labels: lidar
slam docker collectionA collection of docker environments for 3D SLAM packages
Stars: ✭ 130 (+113.11%)
Mutual labels: lidar
WS3DOfficial version of 'Weakly Supervised 3D object detection from Lidar Point Cloud'(ECCV2020)
Stars: ✭ 104 (+70.49%)
Mutual labels: lidar
WhiteboxTools-ArcGISArcGIS Python Toolbox for WhiteboxTools
Stars: ✭ 190 (+211.48%)
Mutual labels: lidar
LiDAR-GTA-VA plugin for Grand Theft Auto V that generates a labeled LiDAR point cloud from the game environment.
Stars: ✭ 127 (+108.2%)
Mutual labels: lidar
3D Ground SegmentationA 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
Stars: ✭ 55 (-9.84%)
Mutual labels: lidar
LiDAR fog simLiDAR fog simulation
Stars: ✭ 101 (+65.57%)
Mutual labels: lidar
pole-localizationOnline Range Image-based Pole Extractor for Long-term LiDAR Localization in Urban Environments
Stars: ✭ 107 (+75.41%)
Mutual labels: lidar
mini-map-makerA tool for automatically generating 3D printable STLs from freely available lidar scan data.
Stars: ✭ 51 (-16.39%)
Mutual labels: lidar
pumaPoisson Surface Reconstruction for LiDAR Odometry and Mapping
Stars: ✭ 302 (+395.08%)
Mutual labels: lidar
esp32-cjmcu-531-demoCJMCU-531 and ESP32 Web Demo interfacing to a VL53L1X IR time-of-flight sensor
Stars: ✭ 48 (-21.31%)
Mutual labels: lidar
sweep-sdkSweep SDK
Stars: ✭ 88 (+44.26%)
Mutual labels: lidar
radmap point cloudsPreprocessing, 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.
Stars: ✭ 26 (-57.38%)
Mutual labels: lidar
lopocsMigrated to: https://gitlab.com/Oslandia/lopocs
Stars: ✭ 78 (+27.87%)
Mutual labels: lidar
ZeroSimROSUnityRobotic simulation in Unity with ROS integration.
Stars: ✭ 112 (+83.61%)
Mutual labels: lidar
pcl localization ros2ROS2 package of 3D LIDAR-based Localization using PCL (Not SLAM)
Stars: ✭ 74 (+21.31%)
Mutual labels: lidar
continuous-fusion(ROS) Sensor fusion algorithm for camera+lidar.
Stars: ✭ 26 (-57.38%)
Mutual labels: lidar
mola-fe-lidarMOLA module: Front-end for point-cloud sensors based on generic ICP algorithms. LiDAR odometry and loop closure.
Stars: ✭ 16 (-73.77%)
Mutual labels: lidar
MINetMulti-scale Interaction for Real-time LiDAR Data Segmentation on an Embedded Platform (RA-L)
Stars: ✭ 28 (-54.1%)
Mutual labels: lidar
