pilotwang Goto Github PK

ros_motion_planning

Motion planning and Navigation of AGV/AMR：ROS planner plugin implementation of A*, JPS, D*, LPA*, D* Lite, Theta*, RRT, RRT*, RRT-Connect, Informed RRT*, ACO, PSO, Voronoi, PID, DWA, APF etc.

smart-algorithm

智能算法-遗传算法、蚁群算法、粒子群算法实现。实现版本Java,Python,MatLab多版本实现

telloai

Letting AI control the DJI Tello Drone.

telloai-facialrecognitionpathtracking

Programming the DJI using ML and AI for facial recognition while maneuvering, as well as path tracking and surveillance

telloai_drone

Drones competition in university, Computer Vision, Real Time, SDK

telloairsim

Unreal Engine 4.27 with Airsim - Flight Simulator for Tello drones (API)

tellocontrolframework

Framework for controlling UAV based on DJI Tello

terrain-navigation

Repository for Safe Low Altitude Navigation in steep terrain for fixed-wing Aerial Vehicles (RA-L Submission)

time-series-forecasting-simulink

This content shows how to implement time series models provided by Deep Learning Toolbox and Econometrics Toolbox on Simulink model and to update them and forecast value at next time step recursively.

trackercomponentlibrary

This is a collection of Matlab functions that are useful in the development of target tracking algorithms.

uas-modeling-and-simulation

MATLAB and Simulink model of the Unmanned Aircraft System (UAS)

uav-motion-control

MATLAB implementation of UAV (unmanned aerial vehicle) control simulation, with RRT (rapidly exploring random tree) for path planning, B-Spline for trajectory generation and LP (linear programming) for trajectory optimization.

uav-swarm-control-optimization

Minimized settling time in the formation control of UAVs swarm navigation in the presence of obstacles by optimizing feedback control gains/parameters. Designed and simulated a model of swarm navigation in MATLAB

uav_adaptive_control

uav_data_harvesting

Code of 'UAV Path Planning for Wireless Data Harvesting A Deep Reinforcement Learning Approach'. Python implementation of DDQN multi-UAV data harvesting

uavsim

Code of ‘UAV Path Planning using Global and Local Map Information with Deep Reinforcement Learning’