xiaoyu306

xiaoyu306's Stars

• hkchengrex/XMem

  [ECCV 2022] XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model

  Language:Python1.7k22128191

• electech6/ORB_SLAM3_detailed_comments

  Detailed comments for ORB-SLAM3

  Language:C++1.3k2115442

• SysCV/sam-pt

  SAM-PT: Extending SAM to zero-shot video segmentation with point-based tracking.

  Language:Python956413460

• jedeschaud/ct_icp

  CT-ICP: Continuous-Time LiDAR Odometry

  Language:C++7501575131

• engcang/SLAM-application

  LeGO-LOAM, LIO-SAM, LVI-SAM, FAST-LIO2, Faster-LIO, VoxelMap, R3LIVE, Point-LIO, KISS-ICP, DLO, DLIO, Ada-LIO, PV-LIO, SLAMesh, ImMesh, FAST-LIO-MULTI, M-LOAM, LOCUS, SLICT, MA-LIO application and comparison on Gazebo and real-world datasets. Installation and config files are provided.

  Language:C++7202212101

• kxhit/awesome-point-cloud-place-recognition

  A list of papers about point cloud based place recognition, also known as loop closure detection in SLAM (processing)

  37422050

• electech6/LearnSLAM

  SLAM研习社

  33232265

• YungeCui/BoW3D

  [RA-L] BoW3D: Bag of Words for Real-Time Loop Closing in 3D LiDAR SLAM.

  Language:C++277101139

• PRBonn/overlap_localization

  chen2020iros: Learning an Overlap-based Observation Model for 3D LiDAR Localization.

  Language:Python27120368

• leggedrobotics/icp_localization

  This package provides localization in a pre-built map using ICP and odometry (or the IMU measurements).

  Language:C++263301249

• haomo-ai/OverlapTransformer

  [RAL/IROS 2022] OverlapTransformer: An Efficient and Yaw-Angle-Invariant Transformer Network for LiDAR-Based Place Recognition.

  Language:Python25193630

• lilin-hitcrt/SSC

  Semantic Scan Context

  Language:C++19461229

• lewisjiang/contour-context

  [ICRA'23] Official code repo for "Contour Context: Abstract Structural Distribution for 3D LiDAR Loop Detection and Metric Pose Estimation"

  Language:C++17631125

• koide3/hdl_global_localization

  Language:C++17491670

• robot-learning-freiburg/LCDNet

  PyTorch code for training LCDNet for loop closure detection in LiDAR SLAM. http://rl.uni-freiburg.de/research/lidar-slam-lc

  Language:Python169101222

• gisbi-kim/scancontext_tro

  scancontext++ (TRO 2022) codes

  Language:MATLAB1673114

• jac99/MinkLoc3D

  MinkLoc3D: Point Cloud Based Large-Scale Place Recognition

  Language:Python1303919

• BIT-MJY/CVTNet

  [TII 2023] A Cross-View Transformer Network for LiDAR-Based Place Recognition in Autonomous Driving Environments.

  Language:Python1023229

• BIT-MJY/SeqOT

  [TIE 2022] SeqOT: A Spatial-Temporal Transformer Network for Place Recognition Using Sequential LiDAR Data.

  Language:Python1014138

• 4ku/Place-recognition-evaluation

  Benchmarking and evaluation framework for place recognition methods, featuring SuperPoint+SuperGlue, LoGG3D-Net, Scan Context, DBoW2, MixVPR, STD

  Language:C++92112

• chengwei0427/BoW3D-LeGO-LOAM

  LiDAR SLAM: BoW3D (22' RA-L) + Scan Context (18 IROS) + LeGO-LOAM (18 IROS)

  Language:C++85438

• YWL0720/DLIOM

  Direct-LiDAR-Inertial-Odometry-and-Mapping的复现版本

  Language:C++726411

• nubot-nudt/LCR-Net

  [TRO] Fast and Accurate Deep Loop Closing and Relocalization for Reliable LiDAR SLAM

  69521

• NVIDIA-ISAAC-ROS/isaac_ros_map_localization

  NVIDIA-accelerated global localization

  Language:C++561216

• engcang/FAST-LIO-Localization-SC-QN

  A Map-based localization implementation combining FAST-LIO2 as an odometry with Quatro + Nano-GICP as a map matching method, and with ScanContext as a loop candidate detection method

  Language:C++46106

• linyicheng1/laser_localization

  laser localization base global map for robotics

  Language:C++293110

• Kasper-Borzdynski/Ms-Deep_SLAM

  Language:C++18203

• Wayne-sketch/A-LOAM_BoW3D_CSF_BALM_union

  在A-LOAM的基础上添加BoW3D CSF BALM功能模块

  Language:C++18213

• HiOnes/BoW3D-SC-Lvi-sam

  SLAM homework based on LVI-SAM with BoW3D and Scan Context loop closure detection module adding.

  Language:C++8152

• Lurvelly/wip_dliom

  [WIP] DLIOM - Direct Lidar-Intertial Odometry: Perceptive and Connective SLAM

  Language:C++4003