sansanmutouren

sansanmutouren's Stars

• HKUST-Aerial-Robotics/Fast-Planner

  A Robust and Efficient Trajectory Planner for Quadrotors

  Language:C++2.6k56170684

• mavlink/mavlink

  Marshalling / communication library for drones.

  Language:Python1.8k1276312k

• dji-sdk/Onboard-SDK

  DJI Onboard SDK Official Repository

  Language:C++93099718633

• fangvv/UAV-DDPG

  Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"

  Language:Python4896081

• ZYunfeii/UAV_Obstacle_Avoiding_DRL

  This is a project about deep reinforcement learning autonomous obstacle avoidance algorithm for UAV.

  Language:Python4843677

• zhaohaojie1998/Grey-Wolf-Optimizer-for-Path-Planning

  灰狼优化算法(GWO)路径规划/轨迹规划/轨迹优化、多智能体/多无人机航迹规划

  Language:MATLAB4804738

• jwwthu/GNN-Communication-Networks

  This is the repository for the collection of Graph-based Deep Learning for Communication Networks.

  46019173

• liyanluminary/Modeling-and-Simulation-of-MATLAB-Simulink-Communication-System

  详解MATLAB Simulink通信系统建模与仿真 刘学勇编著 源码

  Language:MATLAB3185288

• sunghoonhong/AirsimDRL

  Autonomous UAV Navigation without Collision using Visual Information in Airsim

  Language:Python21631648

• AlirezaShamsoshoara/Fire-Detection-UAV-Aerial-Image-Classification-Segmentation-UnmannedAerialVehicle

  Aerial Imagery dataset for fire detection: classification and segmentation (Unmanned Aerial Vehicle (UAV))

  Language:Python19931251

• Logan-Shi/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.

  Language:MATLAB1162111

• yjwong1999/Twin-TD3

  IEEE WCNC 2023: Deep Reinforcement Learning for Secrecy Energy-Efficient UAV Communication with Reconfigurable Intelligent Surfaces

  Language:Python1063220

• RflySim/CopterSim

  A high-fidelity simulation model developed in Simulink that compatible with different types of multicopters.

  Language:MATLAB1053145

• iff-gsc/LADAC

  Library for Aircraft Dynamics And Control

  Language:MATLAB10333225

• ManishSahu53/Vector-Map-Generation-from-Aerial-Imagery-using-Deep-Learning-GeoSpatial-UNET

  We propose a simple yet efficient technique to leverage semantic segmentation model to extract and separate individual buildings in densely compacted areas using medium resolution satellite/UAV orthoimages. We adopted standard UNET architecture, additionally added batch normalization layer after every convolution, to label every pixel in the image.

  Language:Python9541235

• libai1943/UAV-Path-Planning

  Unmanned Combat Aerial Vehicles Path Planning Using a Novel Probability Density Model Based on Artificial Bee Colony Algorithm

  Language:MATLAB932022

• baishanca/Communication-Matlab

  对通信原理的内容的matlab实现

  Language:MATLAB787023

• UPatras-ANeMoS/UAV_coverage

  Simulation for planar area coverage by a swarm of UAVs

  Language:MATLAB737025

• ocatak/6g-channel-estimation-dataset

  6G Wireless Communication Security - Deep Learning Based Channel Estimation Dataset

  Language:Jupyter Notebook39309

• TrifiAmanallah/Ground-station-and-simulator-for-Unmanned-aerial-vehicle

  This a ground station to controle and analyse Real time data from an unmanned aerial vehicle. It also contains a simulator and a PID algorithm tester.

  Language:MATLAB353015

• wineslab/uav-to-uav-60-ghz-channel-model

  Dataset and code for M. Polese, L. Bertizzolo, L. Bonati, A. Gosain, T. Melodia, An Experimental mmWave Channel Model for UAV-to-UAV Communications, in Proc. of ACM Workshop on Millimeter-Wave Networks and Sensing Systems (mmNets), London, UK, Sept. 2020.

  Language:MATLAB34606

• xuxiaoli-seu/Environment_Aware_Communications

  Towards environment-aware 6G communications via channel knowledge map

  Language:Python31316

• alexpapad95/6G-simulation-platform

  This simulation platform is presented in An Open Platform for Simulating the Physical Layer of 6G Communication Systems with Multiple Intelligent Surfaces.In this paper, we develop an open simulation platform, aimed at modeling the physical-layer electromagnetic coupling and propagation between RIS pairs. We present the platform by initially designing a basic unit cell, and then proceeding to progressively model and simulate multiple and larger RISs. The platform can be used for producing verifiable stochastic models for wireless communication in multi- RIS deployments, and its code is freely available to the public.

  Language:MATLAB27105

• Fzk1203/MARL_UAV

  This repository implements the proposed method from IEEE 2020 Paper Multi-Agent Reinforcement Learning Based Resource Allocation for UAV Networks

  Language:Jupyter Notebook24113

• RaiBP/vlc_thesis

  Source code for the Diploma Thesis "Evaluation of Extreme Learning Machine as Channel Equalizer for Color-Shift Keying-Based Visible Light Communication Systems Employed in Underground Mining Scenarios", for the fulfillment of the Electrical Engineer Professional Title at the Universidad de Chile.

  Language:MATLAB11121

• veroniquegeorlette/VLC_channel_modeling_python

  Python channel modeling simulator for VLC (Visible Light Communication)

  Language:Python9101

• mbasheerm/Control-Phase-System-Identification

  This project focuses on system identification of a quadrotor UAV, based on a second order plus integrator and time delay model, for the altitude channel. This deals with identifying the system parameters based on control phase relay considering the transient response and the limit cycle oscillations for the system.

  Language:MATLAB5111

• jayantvsb/ProbabilityOfError-and-OutageProbability

  Simulation code to calculate Probability of error in received signal and outage probability for point-to-point wireless link and comparing the results

  Language:MATLAB3102

• BPalhano/Simulador_Antenas

  Long term study on cell-free massive MIMO for 6G communication.

  Language:Jupyter Notebook1100

• Sachinaravinth/Optically-Transparent-Microstrip-Feed-Lens-Antenna-for-6G-Wireless-Backhaul-Communication

  In this work, initially link budget analysis for deployment of wireless backhaul communication system with target data rate of 100 Gbps. Then, we have designed microstrip fed with lens antenna for operating the frequency of 300GHz.

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