alexjunholee

alexjunholee's Stars

• Aider-AI/aider

  aider is AI pair programming in your terminal

  Language:Python24.3k1642.4k2.2k

• ScanNet/ScanNet

  Language:C1.9k41161348

• koide3/glim

  GLIM: versatile and extensible range-based 3D localization and mapping framework

  Language:C++648177082

• msight-tech/research-ms-loss

  MS-Loss: Multi-Similarity Loss for Deep Metric Learning

  Language:Python494222476

• HuajianUP/Photo-SLAM

  [CVPR 2024] Photo-SLAM: Real-time Simultaneous Localization and Photorealistic Mapping for Monocular, Stereo, and RGB-D Cameras

  Language:C++464114144

• HViktorTsoi/PV-LIO

  A probabilistic voxelmap-based LiDAR-Inertial Odometry.

  Language:C++408112353

• CVMI-Lab/PLA

  (CVPR 2023) PLA: Language-Driven Open-Vocabulary 3D Scene Understanding & (CVPR2024) RegionPLC: Regional Point-Language Contrastive Learning for Open-World 3D Scene Understanding

  Language:Python266155511

• koide3/gtsam_points

  A collection of GTSAM factors and optimizers for point cloud SLAM

  Language:C++2249827

• hovsg/HOV-SG

  [RSS2024] Official implementation of "Hierarchical Open-Vocabulary 3D Scene Graphs for Language-Grounded Robot Navigation"

  Language:Python22261717

• Unsigned-Long/iKalibr

  iKalibr: Unified Targetless Spatiotemporal Calibration for Resilient Integrated Inertial Systems

  Language:C++19551729

• ywyue/RoomFormer

  [CVPR 2023] RoomFormer: Two-level Queries for Single-stage Floorplan Reconstruction

  Language:Python18282626

• JokerJohn/MS-Mapping

  [ICRA@40] MS-Mapping: An Uncertainty-Aware Large-Scale Multi-Session LiDAR Mapping System

  1752216

• cvg/nicer-slam

  [3DV'24 Best Paper Honorable Mention] NICER-SLAM: Neural Implicit Scene Encoding for RGB SLAM

  Language:Python16991714

• Varvrar/ios_logger

  Application for camera and sensor data logging (iOS)

  Language:Objective-C++15621228

• ZikangYuan/dynamic_lio

  A LiDAR-inertial odometry for dynamic environments.

  Language:C++15121015

• ntnu-arl/lidar_degeneracy_datasets

  LiDAR degeneracy dataset for LiDAR-radar-inertial fusion methods.

  1506210

• sparolab/SOLiD

  (RA-L 2024) This repository is the official code for Narrowing your FOV with SOLiD: Spatially Organized and Lightweight Global Descriptor for FOV-constrained LiDAR Place Recognition.

  Language:Python141636

• ISAE-PNX/SaDVIO

  Sparsify and Densify Visual Inertial Odometry

  Language:C++125365

• amaralibey/Bag-of-Queries

  BoQ: A Place is Worth a Bag of learnable Queries (CVPR 2024)

  Language:Jupyter Notebook11410208

• David-Willo/APMP

  [ICRA'24] Accurate Prior-centric Monocular Positioning with Offline LiDAR Fusion

  Language:C++982310

• MKJia/BeautyMap

  [RA-L'24] BeautyMap: Binary-Encoded Adaptable Ground Matrix for Dynamic Points Removal in Global Maps

  Language:Python971223

• grupo-avispa/depth_anything_v2_ros2

  ROS2 Wrapper for DepthAnything V2 model.

  Language:Python77507

• robot-learning-freiburg/CURB-SG

  [ICRA2024] Collaborative Dynamic 3D Scene Graphs for Automated Driving

  Language:C++75612

• byangw/PCT_planner

  3D navigation based on point cloud tomography

  Language:C++703310

• MapItAnywhere/MapItAnywhere

  Source Code for "Map It Anywhere (MIA): Empowering Bird’s Eye View Mapping using Large-scale Public Data"

  Language:Python70712

• UTS-RI/dynamic_object_detection

  Ros implementation of "Dynamic Object Detection in Range data using Spatiotemporal Normals".

  Language:C++69524

• alesof/rosbag2_editor

  GUI for easy rosbag editing in ROS2. It supports ros2 bag in .db3 format. Export rosbag to csv.

  Language:C++66255

• KennyWGH/indt_omp

  快速且优雅的 增量式NDT算法（iNDT）开源实现，基于ndt_omp。A fast and elegant implementation of incremental NDT algorithm (iNDT-OMP) based on ndt_omp.

  Language:C++61405

• SMARTlab-Purdue/SeLRoS

  Code repository for Semantic Layering in Room Segmentation via LLMs (SeLRoS). This repository includes 2D Map generation code and Room Information Interpreter code, and a data set containing ground truth, object information file, top view image, and room segmentation results for each environment for an experiment in 30 environments.

  Language:Python7301

• quest-maps/quest-maps

  400