GDUT-Kyle

GDUT-Kyle's Stars

• datawhalechina/leedl-tutorial

  《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases

  Language:Jupyter Notebook14.9k2871173k

• colmap/glomap

  GLOMAP - Global Structured-from-Motion Revisited

  Language:C++1.7k27116120

• SJTU-ViSYS/Ground-Fusion

  Ground-Fusion: A Low-cost Ground SLAM System Robust to Corner Cases (ICRA2024)

  Language:C++353151333

• JokerJohn/PALoc

  [TMECH'2024] Official codes of ”PALoc: Advancing SLAM Benchmarking with Prior-Assisted 6-DoF Trajectory Generation and Uncertainty Estimation“

  Language:C++30791613

• Taeyoung96/Awesome-LiDAR-IMU-calibration

  :sunglasses: A current list of LiDAR-IMU calibration method

  3026124

• hwan0806/Awesome-LiDAR-Mapping

  Collection of Papers with Codes: LiDAR Odometry/SLAM, Dynamic Object Removal, and Multiple Map Merging

  29912014

• will127534/IMU_Array

  32x IMU array sensor board based on ICM-42688-P and ICE40UP5K

  Language:C26013326

• KOKIAOKI/3d_bbs

  Language:C++24692734

• Yixin-F/LiLoc

  (ICRA 2025) LiLoc: Lifelong Localization using Adaptive Submap Joining and Egocentric Factor Graph

  Language:C++2367327

• dhchung/nv_liom

  LiDAR-Inertial Odometry and Mapping using Normal Vectors Towards Robust SLAM in Multifloor Environments

  Language:C++23421522

• carlos-argueta/rse_prob_robotics

  ROS 2 implementation of robotics algorithms based on the Probabilistic Robotics book

  Language:Jupyter Notebook2229020

• cnzzx/GeMap

  [ECCV'24] Online Vectorized HD Map Construction using Geometry

  Language:Python21882320

• astar-ai/calicam

  CaliCam: Calibrated Fisheye Stereo & Mono Camera

  Language:C++1623539

• 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:Python149657

• yutongwangBIT/VOOM

  Language:C++12231312

• USTC-AIS-Lab/SI-LIO

  Language:C++11611111

• MigVega/SLAM2REF

  This project allows the alignment and correction of LiDAR-based SLAM session data with a reference map or another session, also the retrieval of 6-DoF poses with accuracy of up to 3 cm given an accurate TLS point cloud as a reference map (this map should be accurate at least regarding the position of permanent elements such as walls and columns).

  Language:C++109213

• Yaepiii/TRLO

  Language:C++1084514

• DCSI2022/AFLI_Calib

  AFLI-Calib: Robust LiDAR-IMU extrinsic self-calibration based on adaptive frame length LiDAR odometry

  Language:C++104058

• David-Willo/APMP

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

  Language:C++982310

• BEAMRobotics/beam_slam

  Tightly coupled lidar-visual-inertial slam using the fuse framework

  Language:C++896344

• MOLAorg/mola_lidar_odometry

  MOLA LiDAR odometry and localization

  Language:C++592163

• JS-622/YOLO-fast-lio-sam

  结合YOLO目标检测的激光图像目标检测SLAM项目

  Language:C++57329

• yutongwangBIT/SP-Loop

  Language:C++53165

• RuanJY/HK_MEMS_Dataset

  a Multi-LiDAR dataset on Extreme Mapping Scnarios

  51320

• ZHENGXi-git/TC-VIML

  Tightly-coupled Visual/Inertial/Map Integration with Observability Analysis for Reliable Localization of Intelligent Vehicles

  Language:C++46325

• BuaaYfl/NA-LOAM

  Source code of NA-LOAM: Normal-based Adaptive LiDAR Odometry and Mapping

  150

• pointcompress3d/pointcompress3d

  Language:Python10201

• BuaaYfl/Ground-FALS

  a novel Ground-based Fast Approximate Least Squares (Ground-FALS) estimator for ground normal vectors

  Language:C++7200

• Lyoko-Jeremie/High_Precision_WGS84_GCJ02

  高精度WGS84与GCJ-02坐标转换 https://github.com/kikkimo/WgsToGcj

  Language:C++4303