Finite state machine (event-driven programming) implementation for autonomously flying a drone
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Updated
Jan 12, 2020 - Python
Finite state machine (event-driven programming) implementation for autonomously flying a drone
Grid and Graph Search with the A* algorithm (path+cost function) for a drone in an urban environment + Path optimization
Udacity Flying Car Nanodegree - Project #2 - 3D Motion Planning
🤖 Developed for the EDRA - Aerial Robotics Team at the University of Brasilia, this repository showcases a model trained to detect CBR (Brazilian Robotics Competition) drone landing pads. Leveraging Ultralytics, OpenCV, and Roboflow integration for seamless detection. 🚁
Perception stack for quadrotors developed using synthetic data and deployed on a DJI Tello EDU drone using NVIDIA's Jetson Orin Nano to autonomously navigate an obstacle course.
Crowd Copter aims to analyze the people motions in the input scene and classified them into different clusters each of them has a unique color.
YOLOv8 Aerial Sheep Detection and Counting. Simulated on Gazebo.
Supplementary Material "Co-Design Optimisation of Morphing Topology and Control of Winged Drones" published in IEEE 2024 International Conference on Robotics and Automation (ICRA)
Simple Image processing based algorithm detects cracks on concrete roads. The algorithm can run on a raspberry pi 3b+ board mounted on an autonomous drone. A downward pointing camera records and simultaneously detects cracks when the drone navigates above a concrete road surface.
Aircap_Pose_Estimator : markerless motion capture using multiple autonomous micro aerial vehicles
Framework for aerial imagery localization using different VPR systems
A detailed repository with step-by-step instructions on implementing an autonomous drone
This repository has the code for the nonlinear model predictive controller for target tracking problems with the use of Casadi framework and Matlab simulation environment. 🏎️
Trajectory Planning and control
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