2021 RL Korea Drone Delivery Challenge with Unity

LSY Autonomous Drone Racing Challenge

Long-Term Planning with Deep Reinforcement Learning on Autonomous Drones

This is a complete Unmanned Aerial System composed of an UAV, Autopilot, along with a Ground Station, VSM, embedded eletronics for sensors and actuators, low and high level controls, all compatible with OTAN's STANAG 4586. We created this system while competing at the UAV Outback Challenge at Australia. Our drone was a Rascal model airplane.

Hybrid Transformer based Multi-agent Reinforcement Learning (HTransRL) is for drone coordination in air corridors, addressing the challenges of dynamic dimensions and types of state inputs, which cannot addressed by the traditional MARL.

Archive for AI grand challenge

2021 Drone AI challenge

[IJCNN 2025] WRN-YOLO: An Improved YOLO for Drone Detection using Wide ResNet | Top 3 in 8th Drone-vs-Bird Detection Challenge

Drone Classification from radar data. Challenge from the special forces of canada, for Hack the North 2020++

This is a small UI based Python application for controlling DJI Tello Drone with additional modes to perform live face/object/gesture recognition and more

Our contribution to the AlphaPilot challenge. A drone racing gate detection algorithm.

OpenWERX Drone Challenge January 2016

9th Edition of Inter IIT Tech Meet. Team: Bombay76

Using computer vision to detect the safe flyable region of racing gates for the AI Drone Racing Challenge.

Drone challenge with ML-Agents

Is a Flutter project created based on App Drone Challenge in this link: https://www.uplabs.com/posts/drone-app-challenge-0cf73266-02b2-4f70-b038-adc69f6b14f4

ACM MM 2023 Multimedia Drone Satellite Matching Challenge Submission

Drone of the Sant'Anna team for the MBZIRC 2020 challenge

Stone Soup components created for the drone identification and tracking Kaggle challenge

These are the codes developed in the frame of NXP HoverGames Challenge 2: Help Drones, Help Others During Pandemics competition

PX4 + ROS2 + Visual SLAM + VIO + Obstacle Avoidance + Autonomous Return Home A fully autonomous drone capable of navigating, mapping, avoiding obstacles, detecting targets, and returning to its launch position without GPS. Designed for research-grade missions, ISRO-style No-GPS challenges, DARPA-style underground navigation, and autonomous flight.

The approach in each AWS Cloud Quest: Cloud Practitioner assignment focused on teaching the material, then having me apply it so that I’m learning information, not reiterating it. And discovering the game elements — like the quiz questions, challenges, drones, and pets — motivated me to keep coming back to learn more. This was one of the most unique training methods I’ve seen for cloud, and I’m excited to keep learning.

This repository contains all the regulations for the swarm drone challenge 2024

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A computer vision based coding problem from DroneDeploy

Get the drone from the red to the green podium without colliding into anything else!

Build a Drone Workshop sponsored by Kashmir World Foundation

This research presents a comprehensive solution for managing drone trails in Unity3D, specifically addressing the challenge of maintaining trail continuity during teleportation events. The system combines real-time TrailRenderer visualization with snapshot-based LineRenderer persistence, enabling multiple fading trails to coexist in world space.

A detailed documentation for the Mechatronic Drone Challenge, covering freehand throw, free fall, and upside-down orientation scenarios. It includes linearization of the nonlinear model, performance analysis of the uncontrolled system, stability analysis in time and frequency domains, and controller design using root-locus and PID techniques.

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