TY - JOUR
T1 - A general purpose configurable controller for indoors and outdoors GPS-denied navigation for multirotor Unmanned Aerial Vehicles
AU - Pestana, Jesús
AU - Mellado-Bataller, Ignacio
AU - Sanchez-Lopez, Jose Luis
AU - Fu, Changhong
AU - Mondragón, Iván F.
AU - Campoy, Pascual
N1 - Funding Information:
Acknowledgements The work reported in this article is the consecution of several research stages at the Computer Vision Group—Universidad Politécnica de Madrid. This work was supported by the Spanish Science and Technology Ministry under the grant CICYT DPI2010-20751-C02-01, and the following institutions by their scholarship grants: CSIC-JAE, CAM and the Chinese Scholarship Council. All the authors are with the Computer Vision Group, www.vision4uav.eu, which belongs to the Centre for Automation and Robotics, joint research center from the Spanish National Research Council (CSIC) and the Polytechnic University of Madrid (UPM).
PY - 2014/1
Y1 - 2014/1
N2 - This research on odometry based GPS-denied navigation on multirotor Unmanned Aerial Vehicles is focused among the interactions between the odometry sensors and the navigation controller. More precisely, we present a controller architecture that allows to specify a speed specified flight envelope where the quality of the odometry measurements is guaranteed. The controller utilizes a simple point mass kinematic model, described by a set of configurable parameters, to generate a complying speed plan. For experimental testing, we have used down-facing camera optical-flow as odometry measurement. This work is a continuation of prior research to outdoors environments using an AR Drone 2.0 vehicle, as it provides reliable optical flow on a wide range of flying conditions and floor textures. Our experiments show that the architecture is realiable for outdoors flight on altitudes lower than 9 m. A prior version of our code was utilized to compete in the International Micro Air Vehicle Conference and Flight Competition IMAV 2012. The code will be released as an open-source ROS stack hosted on GitHub.
AB - This research on odometry based GPS-denied navigation on multirotor Unmanned Aerial Vehicles is focused among the interactions between the odometry sensors and the navigation controller. More precisely, we present a controller architecture that allows to specify a speed specified flight envelope where the quality of the odometry measurements is guaranteed. The controller utilizes a simple point mass kinematic model, described by a set of configurable parameters, to generate a complying speed plan. For experimental testing, we have used down-facing camera optical-flow as odometry measurement. This work is a continuation of prior research to outdoors environments using an AR Drone 2.0 vehicle, as it provides reliable optical flow on a wide range of flying conditions and floor textures. Our experiments show that the architecture is realiable for outdoors flight on altitudes lower than 9 m. A prior version of our code was utilized to compete in the International Micro Air Vehicle Conference and Flight Competition IMAV 2012. The code will be released as an open-source ROS stack hosted on GitHub.
KW - Aerial robotics
KW - Autonomous navigation
KW - Computer vision
KW - Control architectures and programming
KW - Control of UAVs
KW - Micro aerial vehicles
KW - Multirotor modeling and state estimation
KW - Robotics
KW - Unmanned Aerial Vehicles
UR - http://www.scopus.com/inward/record.url?scp=84899455856&partnerID=8YFLogxK
U2 - 10.1007/s10846-013-9953-0
DO - 10.1007/s10846-013-9953-0
M3 - Article
AN - SCOPUS:84899455856
SN - 0921-0296
VL - 73
SP - 387
EP - 400
JO - Journal of Intelligent and Robotic Systems: Theory and Applications
JF - Journal of Intelligent and Robotic Systems: Theory and Applications
IS - 1-4
ER -