yi11122

yi11122's Stars

• iggredible/Learn-Vim

  Learning Vim and Vimscript doesn't have to be hard. This is the guide that you're looking for 📖

  13.3k193441k

• datawhalechina/leedl-tutorial

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

  Language:Jupyter Notebook10.9k263792.6k

• amov-lab/Prometheus

  Open source software for autonomous drones.

  Language:C++2.4k410406

• ZJU-FAST-Lab/ego-planner

  Language:C++1.3k2097267

• j96w/DenseFusion

  "DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion" code repository

  Language:Python1.1k27216301

• yuxng/PoseCNN

  A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes

  Language:C++74326123242

• ethnhe/PVN3D

  Code for "PVN3D: A Deep Point-wise 3D Keypoints Hough Voting Network for 6DoF Pose Estimation", CVPR 2020

  Language:Python48120113104

• wangwei39120157028/UAVS

  Intelligent UAV path planning simulation system is a software with fine operation control, strong platform integration, omnidirectional model building and application automation. It takes the UAV war between A and B in Zone C as the background. The core function of the system is to plan the UAV route through the simulation platform and verify the output. The data can be imported into the real UAV to make it accurately arrive at any position in the battlefield according to the specified route and support the joint action of multi-person and multi-device formation.

  Language:JavaScript45118091

• chensong1995/HybridPose

  HybridPose: 6D Object Pose Estimation under Hybrid Representation (CVPR 2020)

  Language:Python408159164

• HKUST-Aerial-Robotics/Btraj

  Bezier Trajectory Generation for Autonomous Quadrotor, ICRA 2018

  Language:C++4011519137

• wadimkehl/ssd-6d

  Inference code and trained networks for SSD-6D

  Language:Python308152377

• mit-acl/aclswarm

  MIT ACL distributed formation flying using multirotors

  Language:C++666217

• rvnandwani/Geometric-Tracking-Control-of-a-Quadrotor-UAV

  It is a known fact that quadrotor UAVs are in general under-actuated and nonlinear system and it is a challenge to control them, especially in case of aggressive maneuvers. Our goal in this project is to study the nonlinear geometric control approach to control a quadrotor. The configuration of the quadrotor system described on smooth nonlinear geometric configuration spaces has been briefly discussed, and analyzed with the principles of differential geometry. This allows us to avoid any kind of singularities that would otherwise arise on local charts.

  Language:MATLAB36105

• jimfleming/rvo2

  Unofficial port of RVO2 to Python3

  Language:Python30449

• RogerDTZ/EGO1-Piano

  Language:Verilog7200

• IdlessChaye/magicalcubeImageProcess

  FPGA project based on Xilinx FPGA EGO1 xc7a35tcsg324

  Language:Verilog6102

• q1554788327/EGO1-DDS

  Digital system comprehensive experiment

  Language:VHDL5100

• HIT-five/Undergradute_Course_resources

  悟已往之不见，知来者之可追

  Language:MATLAB3000