HMX2013

HMX2013's Stars

• bhaskatripathi/pdfGPT

  PDF GPT allows you to chat with the contents of your PDF file by using GPT capabilities. The most effective open source solution to turn your pdf files in a chatbot!

  Language:Python7.1k5498848

• pengsida/learning_research

  本人的科研经验

  6.6k7331393

• greg7mdp/parallel-hashmap

  A family of header-only, very fast and memory-friendly hashmap and btree containers.

  Language:C++2.9k69194275

• ShujiaHuang/Cpp-Primer-Plus-6th

  《C++ Primer Plus 第6版（中文版）》原书代码、习题答案和个人笔记，仅供学习和交流。

  Language:C++2.6k1511543

• hustvl/YOLOP

  You Only Look Once for Panopitic Driving Perception.（MIR2022）

  Language:Python2k31209424

• PRBonn/kiss-icp

  A LiDAR odometry pipeline that just works

  Language:C++1.8k43224355

• NUAAXQ/awesome-point-cloud-analysis-2023

  A list of papers and datasets about point cloud analysis (processing) since 2017. Update every day!

  1.6k680191

• rl-tools/rl-tools

  The Fastest Deep Reinforcement Learning Library

  Language:C++775142029

• amslabtech/dwa_planner

  ROS implementation of DWA(Dynamic Window Approach) Planner

  Language:C++48852290

• SYSU-STAR/H2-Mapping

  H2-Mapping: Real-time Dense Mapping Using Hierarchical Hybrid Representation (2023 RAL Best Paper Award)

  Language:C++402255115

• ashawkey/Segment-Anything-NeRF

  Segment-anything interactively in NeRF.

  Language:Python28912513

• HKUST-Aerial-Robotics/G3Reg

  A fast and robust global registration library for outdoor LiDAR point clouds.

  Language:C++260122022

• mit-acl/clipper

  graph-theoretic framework for robust pairwise data association

  Language:C++24751241

• RPM-Robotics-Lab/file_player_mulran

  File Player for MulRan Dataset

  Language:C++13252241

• tusen-ai/LiDAR_SOT

  Language:Python1205919

• uos/lvr2

  Las Vegas Reconstruction 2.0

  Language:C++118141218

• ros-tooling/topic_tools

  Tools for directing, throttling, selecting, and otherwise manipulating ROS 2 topics at a meta-level.

  Language:C++8842437

• SPengLiang/LPCG

  [ECCV 2022] Lidar Point Cloud Guided Monocular 3D Object Detection.

  Language:Python784123

• visionbike/AdaptiveIPM

  Inverse Perspective Mapping

  Language:C++710031

• nubot-nudt/SG-D3QN

  Robot Navigation in a Crowd by Integrating Deep Reinforcement Learning and Online Planning

  Language:Python651313

• saimanoj18/iros_bshot

  B-SHOT : A Binary Feature Descriptor for Fast and Efficient Keypoint Matching on 3D Point Clouds

  Language:C++633224

• SNU-DLLAB/AGNC-PGO

  Adaptive Graduated Non-Convexity for Pose Graph Optimization

  Language:C++61305

• IIT-PAVIS/SC3K

  Repository of the ICCV23 paper "SC3K: Self-supervised and Coherent 3D Keypoints Estimation from Rotated, Noisy, and Decimated Point Cloud Data"

  Language:Python54544

• LiDAR-Perception/LiDAR-CS

  LiDAR-CS Dataset

  Language:Shell523113

• MIT-SPARK/Hydra-ROS

  Hydra ROS Interface

  Language:C++459722

• KangchengLiu/FAC_Foreground_Aware_Contrast

  [CVPR 2023] 3D Representation Learning via Foreground Aware Feature Contrast

  Language:Python42607

• kafeiyin00/HCTO

  [ISPRS.J'24] HCTO: Optimality-aware LiDAR inertial odometry with hybrid continuous time optimization for compact wearable mapping system

  41800

• frknayk/Reinforcement-Learning-In-Control

  Control with Deep Reinforcement Learning

  Language:Python12307

• UniBwTAS/continuous-clustering

  Low Latency Instance Segmentation by Continuous Clustering for Rotating LiDAR Sensors

  3210

• NCUT-InteractiveLab/LiDARNet_ver2

  This dataset is collected by an HDL-32E Velodyne LiDAR sensor carried by our UGV platform. Raw point clouds collected from a real outdoor scene are segmented into individual obstacles according to a fast spatial clustering method [1]. We developed a semi-automatic 3D object labeling tool to store individual object point clouds [2]. The UGV and a semi-automatic 3D object labeling tool are presented in the following figure.

  2101