18 Repositories
Python drone Libraries
Simulation environments for the CrazyFlie quadrotor: Used for Reinforcement Learning and Sim-to-Real Transfer
Phoenix-Drone-Simulation An OpenAI Gym environment based on PyBullet for learning to control the CrazyFlie quadrotor: Can be used for Reinforcement Le
Tello Drone Trajectory Tracking
With this library you can track the trajectory of your tello drone or swarm of drones in real time.
The code uses SegFormer for Semantic Segmentation on Drone Dataset.
SegFormer_Segmentation The code uses SegFormer for Semantic Segmentation on Drone Dataset. The details for the SegFormer can be obtained from the foll
Python pyside2 kütüphanesi ile oluşturduğum drone için yer kontrol istasyonu yazılımı.
Ground Control Station (Yer Kontrol İstasyonu) Teknofest yarışmasında yerlilik kısmında Yer Kontrol İstasyonu yazılımı seçeneği bulunuyordu. Bu yüzden
Semantic Segmentation with SegFormer on Drone Dataset.
SegFormer_Segmentation Semantic Segmentation with SegFormer on Drone Dataset. You can check out the blog on Medium You can also try out the model with
Drone Task1 - Drone Task1 With Python
Drone_Task1 Matching Results 3.mp4 1.mp4
web application for flight log analysis & review
Flight Review This is a web application for flight log analysis. It allows users to upload ULog flight logs, and analyze them through the browser. It
A Transformer-Based Feature Segmentation and Region Alignment Method For UAV-View Geo-Localization
University1652-Baseline [Paper] [Slide] [Explore Drone-view Data] [Explore Satellite-view Data] [Explore Street-view Data] [Video Sample] [中文介绍] This
TPH-YOLOv5: Improved YOLOv5 Based on Transformer Prediction Head for Object Detection on Drone-Captured Scenarios
TPH-YOLOv5 This repo is the implementation of "TPH-YOLOv5: Improved YOLOv5 Based on Transformer Prediction Head for Object Detection on Drone-Captured
This is a collection of python modules that interact with the Ryze Tello drone.
This is a collection of python modules that interact with the Ryze Tello drone.
Cascade Drone Swarm Physical Demonstration Project
Cascade Drone Swarm Physical Demonstration Project Table of Contents About The Project Built With Getting Started Prerequisites Installation About The
A lightweight Python-based 3D network multi-agent simulator. Uses a cell-based congestion model. Calculates risk, loudness and battery capacities of the agents. Suitable for 3D network optimization tasks.
AMAZ3DSim AMAZ3DSim is a lightweight python-based 3D network multi-agent simulator. It uses a cell-based congestion model. It calculates risk, battery
A synthetic texture-invariant dataset for object detection of UAVs
A synthetic dataset for object detection of UAVs This repository contains a synthetic datasets accompanying the paper Sim2Air - Synthetic aerial datas
Drone detection using YOLOv5
This drone detection system uses YOLOv5 which is a family of object detection architectures and we have trained the model on Drone Dataset. Overview I
Detection of drones using their thermal signatures from thermal camera through YOLO-V3 based CNN with modifications to encapsulate drone motion
Drone Detection using Thermal Signature This repository highlights the work for night-time drone detection using a using an Optris PI Lightweight ther
Official implementation of the network presented in the paper "M4Depth: A motion-based approach for monocular depth estimation on video sequences"
M4Depth This is the reference TensorFlow implementation for training and testing depth estimation models using the method described in M4Depth: A moti
Drone-based Joint Density Map Estimation, Localization and Tracking with Space-Time Multi-Scale Attention Network
DroneCrowd Paper Detection, Tracking, and Counting Meets Drones in Crowds: A Benchmark. Introduction This paper proposes a space-time multi-scale atte