Document Type

Presentation

Date of this Version

4-12-2011

Comments

@INPROCEEDINGS{raven_ipsn11,
author={Martin, P. and Etter, W. and Mangharam, R.},
booktitle={Information Processing in Sensor Networks (IPSN), 2011 10th International Conference on},
title={Demo abstract: R.A.V.E.N. #x2014; Remote autonomous vehicle explorer network},
year={2011},
pages={123-124},
keywords={aerospace control;aircraft;remotely operated vehicles;Canadian police forces;R.A.V.E.N;UAV;United States police forces;attitude measurements;demo abstract;quadrotor aircraft;remote autonomous vehicle explorer network;unmanned aerial vehicles;wireless communication;Base stations;Cameras;Lead;Tracking;Wireless communication;Wireless sensor networks;Zigbee;Autonomy;Real-time systems;Unmanned Aerial Vehicles;control systems;cyber-physical systems},}

Abstract

Unmanned aerial vehicles (UAVs) have recently become a viable platform for surveillance and exploration tasks. Several commercial quadrotor aircraft have been successfully used as surveillance equipment with groups such as United States and Canadian police forces, and additional applications for this technology could include exploration of ra-dioactive/hazmat environments, naval search and rescue, or surveying a building on fire, to name a few. Despite the agility and speed of the quadrotor platform, current systems lack the redundancy and collaboration of a multi-unit team; current implementations of quadrotor UAV flocks require expensive equipment, limiting the system to operation within range of external sensors. We propose a system for intelligently controlling multiple quadrotor UAVs using a combination of on-board vision tracking and wireless communication of attitude measurements. The proposed system uses a lead, human-controlled quadrotor and one or more quadro-tors that track and follow the lead unit autonomously. The forthcoming system aims to improve the execution time required to complete missions and increase both breadth of search and platform effectiveness.

Keywords

Real-time systems, control systems, cyber-physical systems, Autonomy, Unmanned Aerial Vehicles

 

Date Posted:08 November 2011

This document has been peer reviewed.