Lee-upup

Lee-upup's Stars

• geekan/HowToLiveLonger

  程序员延寿指南 | A programmer's guide to live longer

  29.5k2.1k

• SYSU-STAR/FC-Hetero

  A LiDAR-Visual Heterogeneous Multi-UAV System for Fast and Autonomous Aerial Reconstruction (IROS 2024 Oral)

  23

• SYSU-STAR/STAR-Searcher

  Star-Searcher: An Efficient Aerial System for Target Search in Unknown Environments

  37

• SYSU-STAR/MASSTAR

  19

• LeeJunHyun/Image_Segmentation

  Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.

  Language:Python2.6k591

• usuyama/pytorch-unet

  Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation

  Language:Jupyter Notebook822226

• ggeorgak11/UPEN

  Language:Python17

• facebookresearch/OccupancyAnticipation

  This repository contains code for our publication "Occupancy Anticipation for Efficient Exploration and Navigation" in ECCV 2020.

  Language:Python7426

• USE-jx/Robomaster-uav-competition

  大疆无人飞行挑战赛，急速穿圈

  Language:C++235

• VIS4ROB-lab/dmce

  "Decentralised Multi-Robot Exploration using Monte Carlo Tree Search", IROS 2023

  Language:C++424

• herolab-uga/ROS-SEAL

  ROS Package for Simultaneous Exploration and Localization for Multi-Robot Applications

  Language:Python19

• art-programmer/FloorNet

  Language:Python20755

• Jh271441/2022_ral_autonomous_exploration

  Autonomous Exploration in a Cluttered Environment for a Mobile Robot With 2D-Map Segmentation and Object Detection

  Language:C1

• devendrachaplot/Neural-SLAM

  Pytorch code for ICLR-20 Paper "Learning to Explore using Active Neural SLAM"

  Language:Python731136

• astra-vision/MonoScene

  [CVPR 2022] "MonoScene: Monocular 3D Semantic Scene Completion": 3D Semantic Occupancy Prediction from a single image

  Language:Python66165

• shurans/sscnet

  Semantic Scene Completion from a Single Depth Image

  Language:Jupyter Notebook33692

• ggeorgak11/CM2

  Language:Python394

• Zhefan-Xu/DEP

  [IEEE RA-L & ICRA'21] Autonomous UAV Exploration in Dynamic Environment [DEP] (C++/ROS)

  Language:C++387

• aislabunimi/ROSE2

  Robust structure identification and room segmentation of cluttered indoor environments from occupancy grid maps

  Language:Python162

• SeanZsya/tdle

  TDLE: 2D Lidar Exploration with Hierarchical Planning Using Regional Division

  Language:C++245

• SeanZsya/SSLE

  UAV exploration system

  Language:C++157

• sportdeath/range_mi

  Functions to compute expected information gain in robotic exploration.

  Language:C++208

• rakeshshrestha31/map_prediction_enhanced_exploration

  Open-source modules for ICRA 2019 submission "Learned Map Prediction for Enhanced Mobile Robot Exploration"

  Language:Shell207

• reiniscimurs/GDAE

  A goal-driven autonomous exploration through deep reinforcement learning (ICRA 2022) system that combines reactive and planned robot navigation in unknown environments

  Language:Python10915

• nubot-nudt/dynamic_task_allocation

  A simulation system based on ROS and Gazebo which is specially built for multi-robot task allocation (exploration and destruction problem)

  Language:C++11023

• luigifreda/3dmr

  3D Multi-Robot Exploration, Patrolling and Navigation.

  Language:C++10814

• pngqunshen/SARE-planner

  This project attempts to develop an efficient exploration strategy for a robot placed in an unknown environment using reinforcement learning techniques.

  Language:Python41

• tyuezhan/SEER

  SEER: Safe Efficient Exploration for Aerial Robots using Learning to Predict Information Gain

  Language:C++474

• facebookresearch/habitat-lab

  A modular high-level library to train embodied AI agents across a variety of tasks and environments.

  Language:Python1.8k467

• ZJU-FAST-Lab/OPNet

  Learning Unknown Space for Autonomous Navigation in Clustered Environment

  Language:C++5515