CYDXYYJ
PHD candidate at Peking university. My main study intrest is multi-robot trajectory planning. https://xyyjcyd@163.com
CYDXYYJ's Stars
PointCloudLibrary/pcl
Point Cloud Library (PCL)
Visualize-ML/Book4_Power-of-Matrix
Book_4_《矩阵力量》 | 鸢尾花书:从加减乘除到机器学习;上架!
OpenDriveLab/UniAD
[CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving
RainerKuemmerle/g2o
g2o: A General Framework for Graph Optimization
torch-points3d/torch-points3d
Pytorch framework for doing deep learning on point clouds.
zhm-real/MotionPlanning
Motion planning algorithms commonly used on autonomous vehicles. (path planning + path tracking)
casadi/casadi
CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.
kmammou/v-hacd
Automatically exported from code.google.com/p/v-hacd
PRBonn/lidar-bonnetal
Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving
zm0612/Hybrid_A_Star
Hybrid A Star algorithm C++ implementation
motion-planning/rrt-algorithms
n-dimensional RRT, RRT* (RRT-Star)
sikang/mpl_ros
A ROS wrapper for trajectory planning based on motion primitives
acado/acado
ACADO Toolkit is a software environment and algorithm collection for automatic control and dynamic optimization. It provides a general framework for using a great variety of algorithms for direct optimal control, including model predictive control, state and parameter estimation and robust optimization.
anassinator/ilqr
Iterative Linear Quadratic Regulator with auto-differentiatiable dynamics models
FGiuliari/Trajectory-Transformer
Code for "Transformer Networks for Trajectory Forecasting"
ZJU-FAST-Lab/Dftpav
A lightweight differential flatness-based trajectory planner for car-like robots
Pandas-Team/Automatic-Parking
Python implementation of an automatic parallel parking system in a virtual environment, including path planning, path tracking, and parallel parking
DQSSSSS/VectorNet
VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation, partial function re-implement
XiaojingGeorgeZhang/H-OBCA
Hierarchical Optimization-Based Collision Avoidance - a path planner for autonomous parking
hanruihua/RDA_planner
The source code of the [RA-Letter] paper "RDA: An Accelerated Collision Free Motion Planner for Autonomous Navigation in Cluttered Environments"
MattiaMontanari/openGJK
Fast and reliable implementation of the Gilbert-Johnson-Keerthi (GJK) algorithm for C, C#, Go, Matlab and Python
dawnjeanh/motionplanning
Motion planning algorithm implementation
kevinmoran/GJK
Basic 3D collision detection implementation using the Gilbert–Johnson–Keerthi distance algorithm along with the Expanding Polytope Algorithm
mjjq/ConvexDecomposition
Header only C++ library for decomposing and slicing concave polygons into convex polygons
Tsinghua-MARS-Lab/vectormapnet
VectorMapNet: End-to-end Vectorized HD map learning
knaidoo29/mistree
A python package for constructing and analysing minimum spanning trees.
krishauser/SemiInfiniteOptimization
Code accompanying the paper "Semi-Infinite Programming for Trajectory Optimization with Nonconvex Obstacles" by K. Hauser
matheusgadelha/PointCloudLearningACD
Code for the paper Label-Efficient Learning on Point Clouds usingApproximate Convex Decompositions.
PaulBernier/obj2pcd
Very basic converter from .obj file to .pcd file (and reverse)
ForeverFancy/VectorNet
Pytorch implementation of paper "VectorNet: Encoding HD maps and Agent Dynamics from Vectorized Representation"