Efesendil

Efesendil's Stars

• sheng00125/LIV_handhold

  An open-source hardware-synchronized handheld device for FAST-LIVO.

  Language:C29042

• hku-mars/FAST-LIVO2

  FAST-LIVO2: Fast, Direct LiDAR-Inertial-Visual Odometry

  1.2k96

• HyeonJaeGil/DockerSLAM

  User-friendly Docker images for SLAM

  Language:Dockerfile353

• osrf/docker_images

  A repository to hold definitions of docker images maintained by OSRF

  Language:Dockerfile568170

• hku-mars/livox_camera_calib

  This repository is used for automatic calibration between high resolution LiDAR and camera in targetless scenes.

  Language:C++907206

• hku-mars/r3live

  A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package

  Language:C++2k435

• NVIDIAGameWorks/kaolin

  A PyTorch Library for Accelerating 3D Deep Learning Research

  Language:Python4.5k559

• vinits5/learning3d

  This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).

  Language:Python722104

• open-mmlab/mmdetection3d

  OpenMMLab's next-generation platform for general 3D object detection.

  Language:Python5.3k1.5k

• yeyan00/pointcloud-sota

  Collect and summarize point cloud sota methods.

  Language:Python1149

• angeladai/ScanComplete

  [CVPR'18] ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans

  Language:Python26250

• koide3/slam_docker_collection

  A collection of docker environments for 3D SLAM packages

  22342

• gisbi-kim/nano-pgo

  For an education purpose, from-scratch, single-file, python-only pose-graph optimization implementation

  Language:Python25317

• rsasaki0109/li_slam_ros2

  ROS 2 package of tightly-coupled lidar inertial ndt/gicp slam

  Language:C++31242

• tomas789/kitti2bag

  Convert KITTI dataset to ROS bag file the easy way!

  Language:Python728261

• ethz-asl/kitti_to_rosbag

  Dataset tools for working with the KITTI dataset raw data ( http://www.cvlibs.net/datasets/kitti/raw_data.php ) and converting it to a ROS bag. Also allows a library for direct access to poses, velodyne scans, and images.

  Language:C++249101

• Geekgineer/CloudPeek

  CloudPeek is a lightweight, cross-platform, single-header C++ point cloud viewer. It’s designed for simplicity and efficiency, requiring no heavy libraries like PCL or Open3D. Ideal for visualizing and interacting with 3D data from LiDAR, photogrammetry, or other datasets, CloudPeek delivers powerful, real-time exploration in a minimalistic package

  Language:C++971

• MapsHD/HDMapping

  Language:C++17726

• Geekgineer/ros2_bag_exporter

  ROS2 Bag Exporter is a versatile ROS 2 c++ package designed to export ROS 2 bag files (rosbag2) into various formats, including images, point cloud data (PCD) files, IMU data, and GPS data. This tool facilitates the extraction and conversion of data from bag files for analysis, visualization, and processing outside the ROS ecosystem.

  Language:C++463

• nachovizzo/iscloam

  Intensity Scan Context based full SLAM implementation for autonomous driving.

  1

• nachovizzo/puma

  Poisson Surface Reconstruction for LiDAR Odometry and Mapping

  11

• nachovizzo/ros_in_docker

  Run all your ugly ROS1 nodes inside a completely isolated development environment. With a nice text editor support for development

  Language:Dockerfile11620

• PRBonn/make_it_dense

  Make it Dense: Self-Supervised Geometric Scan Completion of Sparse 3D LiDAR Scans in Large Outdoor Environments

  Language:Python13211

• ActiveVisionLab/Awesome-LLM-3D

  Awesome-LLM-3D: a curated list of Multi-modal Large Language Model in 3D world Resources

  1.2k81

• Pointcept/SegmentAnything3D

  [ICCV'23 Workshop] SAM3D: Segment Anything in 3D Scenes

  Language:Python99469

• Ilya-Fradlin/Interactive4D

  533

• nv-dvl/segment-anything-lidar

  [ECCV 2024] Better Call SAL: Towards Learning to Segment Anything in Lidar

  961

• gaoxiang12/slambook-en

  The English version of 14 lectures on visual SLAM.

  Language:TeX1.5k265

• RobustFieldAutonomyLab/LeGO-LOAM

  LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain

  Language:C++2.4k1.1k

• TixiaoShan/LIO-SAM

  LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping

  Language:C++3.5k1.3k