A video of the AR Drone flying from marker to marker in a hallway. It sees the first marker at about 0:40, 1:00, and 1:20 The first one it
The goal of this project was the integration of additional hardware such as a GPS receiver and a digital compass for autonomous
The quadrotor uses vanishing point in the corridor to navigate autonomously and localize by sweeping over 2-D landmarks (vertical
Quadcopter programmed to follow vanishing point at end of hallway. The vanishing point is found by performing canny edge
The navigation is done using moveit for motion planning and aruco markers for locaisation.
Flight of AR Drone 1.0 chasing residents through hallways of two nine north.
This video presents experimental results of autonomous navigation in confined indoor environments using an aerial robot. The robot
Ar Drone autonomous flying demo with vanishing point detection and Kalman filtering.
Guiado de robot por camara con marcacion de GPS.
Autonomous flight of AR.Drone 2.0 along a square flight path.
Rebranded Syma drone flying in hallway.
This video showcases the algorithm for pose estimation and control of an AR.Drone quadrotor using embedded sensors only. It was
A drive around Kungsholmen, Stockholm, on a snowy Friday morning in January, 2014 No GPS was used.
AR.Drone control based on vanishing point for yaw control - corridor following. RE: Robust estimation VP: vanishing point estimated
Exploring the banquet facility at the Cobblestone Bistro - a great restaurant, lounge and banquet facility in Caledonia Michigan USA.
Looking at how the default sample demo works and how it handles light, occlusion, etc. Link to APK: https://drive.google.com/file/d/
AR Drone control based on vanishing point for yaw control - yaw disturbance to check the control in corridor. RE: Robust estimation
We designed a set of algorithms that utilize the existing corridor navigation code initially created by Cooper Bills and Joyce Chen to
2015 © All Rights Reserved.