linxigjs's repositories
path_smoother
smooth path/curve with Gradient Descent method
dynamicvoronoi
comment and understand for Dynamic Voronoi Graph generation and updating method
Boustrophedon
Boustrophedon split & bow coverage.
StarterBundleTest
<<Deep Learning for Computer Vision with Python>> starter bundle
AStar-JPS-ThetaStar
Basic algorithms for single-shot grid-based 2D path finding: BFS, Dijkstra, A*, Jump Point Search (JPS), Theta*
Path-Planning-Robot-over-Voronoi-Diagram
Robot Path Planning Algorithm- Generalized Voronoi Diagram
sampling_based_planners
Implementation of RRT, RRT-connect, RRT*, and PRM in c++
AlgorithmExercise
《算法》实现
Apollo-Note
Note for Apollo 3.0 perception, prediction and planning modules
astar-algorithm-cpp
Implementations of the A* algorithm in C++ and C#
carla
Open-source simulator for autonomous driving research.
deep-learning-models
Keras code and weights files for popular deep learning models.
InscribedRectFinder
OpenCV based Inscribed Rectangle Finder
Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
MicroPather
MicroPather is a path finder and A* solver (astar or a-star) written in platform independent C++ that can be easily integrated into existing code. MicroPather focuses on being a path finding engine for video games but is a generic A* solver.
ParseCSV
Momenta test
path_planner
Hybrid A* Path Planner for the KTH Research Concept Vehicle
rrt
C++ RRT (Rapidly-exploring Random Tree) implementation
scenario_runner
Traffic scenario definition and execution engine
slam_gmapping
http://www.ros.org/wiki/slam_gmapping
tinyfsm
A simple C++ finite state machine library
vfh_local_planner
Vector Field Histogram (VFH) local planner for ROS.