Framework for Autonomous On-board Navigation with the AR.Drone

Authors:
Jacobo Jiménez Lugo;Andreas Zell
Affiliations:
Cognitive Systems, University of Tübingen, Tübingen, Germany;Cognitive Systems, University of Tübingen, Tübingen, Germany
Venue:
Journal of Intelligent and Robotic Systems
Year:
2014

Citing 3
Cited 0

Parallel Tracking and Mapping for Small AR Workspaces

ISMAR '07 Proceedings of the 2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality
Automatic Take Off, Tracking and Landing of a Miniature UAV on a Moving Carrier Vehicle

Journal of Intelligent and Robotic Systems
Trajectory generation and control for precise aggressive maneuvers with quadrotors

International Journal of Robotics Research

Quantified Score

Hi-index	0.00

Visualization

Abstract

We present a framework for autonomous flying using the AR.Drone low cost quadrotor. The system performs all sensing and computations on-board, making the system independent of any base station or remote control. High level navigation, computer vision and control tasks are carried out in an external processing unit that steers the vehicle to a desired location. We experimentally demonstrate the properties and capabilities of three systems to autonomously following several trajectory patterns, visually estimate its position and detecting and following a person and evaluate the performance of the systems.