LiDARTagThis is a package for LiDARTag, described in paper: LiDARTag: A Real-Time Fiducial Tag System for Point Clouds
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Mutual labels: lidar
slam docker collectionA collection of docker environments for 3D SLAM packages
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Mutual labels: lidar
pumaPoisson Surface Reconstruction for LiDAR Odometry and Mapping
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Mutual labels: lidar
Displaz.jlJulia bindings for the displaz lidar viewer
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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
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Mutual labels: lidar
WhiteboxTools-ArcGISArcGIS Python Toolbox for WhiteboxTools
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Mutual labels: lidar
SLAM-applicationLeGO-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.
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Mutual labels: lidar
pcl localization ros2ROS2 package of 3D LIDAR-based Localization using PCL (Not SLAM)
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Mutual labels: lidar
ZeroSimROSUnityRobotic simulation in Unity with ROS integration.
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Mutual labels: lidar
lopocsMigrated to: https://gitlab.com/Oslandia/lopocs
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Mutual labels: lidar
PointCloudSegmentationThe research project based on Semantic KITTTI dataset, 3d Point Cloud Segmentation , Obstacle Detection
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Mutual labels: lidar
lodToolkitlevel-of-details toolkit(LTK). Convert osgb lod tree to 3mx tree. Convert pointcloud in ply/las/laz/xyz to 3mx/osgb tree.
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Mutual labels: lidar
esp32-cjmcu-531-demoCJMCU-531 and ESP32 Web Demo interfacing to a VL53L1X IR time-of-flight sensor
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Mutual labels: lidar
DSP-SLAM[3DV 2021] DSP-SLAM: Object Oriented SLAM with Deep Shape Priors
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Mutual labels: lidar
mini-map-makerA tool for automatically generating 3D printable STLs from freely available lidar scan data.
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ExampleOfiOSLiDARExample Of iOS ARKit LiDAR
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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.
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Mutual labels: lidar
LiDAR-GTA-VA plugin for Grand Theft Auto V that generates a labeled LiDAR point cloud from the game environment.
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Mutual labels: lidar
WS3DOfficial version of 'Weakly Supervised 3D object detection from Lidar Point Cloud'(ECCV2020)
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Mutual labels: lidar
lt-mapperA Modular Framework for LiDAR-based Lifelong Mapping
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Mutual labels: lidar
