A novel distributed architecture for UAV indoor navigation

Abstract In the last decade, different indoor flight navigation systems for small Unmanned Aerial Vehicles (UAVs) have been investigated, with a special focus on different configurations and on sensor technologies. The main idea of this paper is to propose a distributed Guidance Navigation and Control (GNC) system architecture, based on Robotic Operation System (ROS) for light weight UAV autonomous indoor flight. The proposed framework is shown to be more robust and flexible than common configurations. A flight controller and companion computer running ROS for control and navigation are also included in the section. Both hardware and software diagrams are given to show the complete architecture. Further works will be based on the experimental validation of the proposed configuration by indoor flight tests.

[1]  Christoforos Kanellakis,et al.  Survey on Computer Vision for UAVs: Current Developments and Trends , 2017, Journal of Intelligent & Robotic Systems.

[2]  Rainer Mautz,et al.  Overview of current indoor positioning systems , 2009 .

[3]  Micael S. Couceiro,et al.  A Low-Cost Educational Platform for Swarm Robotics , 2012 .

[4]  Hiroshi Tokutake,et al.  Navigation of Small and Lightweight Helicopter , 2005 .

[5]  Hilbert J. Kappen,et al.  Efficient Optical Flow and Stereo Vision for Velocity Estimation and Obstacle Avoidance on an Autonomous Pocket Drone , 2016, IEEE Robotics and Automation Letters.

[6]  Girish Chowdhary,et al.  GPS‐denied Indoor and Outdoor Monocular Vision Aided Navigation and Control of Unmanned Aircraft , 2013, J. Field Robotics.

[7]  Ray-Shine Run,et al.  Indoor Autonomous Vehicle Navigation—A Feasibility Study Based on Infrared Technology , 2018 .

[8]  Sergio Montenegro,et al.  An Autonomous UAV with an Optical Flow Sensor for Positioning and Navigation , 2013 .

[9]  Amelia Wong Azman,et al.  Indoor UAV Positioning Using Stereo Vision Sensor , 2012 .

[10]  Marc Pollefeys,et al.  An open source and open hardware embedded metric optical flow CMOS camera for indoor and outdoor applications , 2013, 2013 IEEE International Conference on Robotics and Automation.

[11]  Chong Shen,et al.  Optical Flow Sensor/INS/Magnetometer Integrated Navigation System for MAV in GPS-Denied Environment , 2016, J. Sensors.

[12]  Qiang Zhou,et al.  Hybrid obstacle avoidance system with vision and ultrasonic sensors for multi-rotor MAVs , 2018, Ind. Robot.