UAV and obstacle sensing techniques – a perspective

Purpose The purpose of this paper is to provide an overview of unmanned aerial vehicle (UAV) developments, types, the major functional components of UAV, challenges, and trends of UAVs, and among the various challenges, the authors are concentrating more on obstacle sensing methods. This also highlights the scope of on-board vision-based obstacle sensing for miniature UAVs. Design/methodology/approach The paper initially discusses the basic functional elements of UAV, then considers the different challenges faced by UAV designers. The authors have narrowed down the study on obstacle detection and sensing methods for autonomous operation. Findings Among the various existing obstacle sensing techniques, on-board vision-based obstacle detection has better scope in the future requirements of miniature UAVs to make it completely autonomous. Originality/value The paper gives original review points by doing a thorough literature survey on various obstacle sensing techniques used for UAVs.

[1]  John F. Keane,et al.  A Brief History of Early Unmanned Aircraft , 2013 .

[2]  Johan Meyer,et al.  Design Considerations for Long Endurance Unmanned Aerial Vehicles , 2009 .

[3]  Christine Connolly.  Collision avoidance technology: from parking sensors to unmanned aircraft , 2007 .

[4]  Pradip M. Jawandhiya,et al.  Review of Unmanned Aircraft System (UAS) , 2013 .

[5]  Leszek Cwojdziński,et al.  Power units and power supply systems in UAV , 2014 .

[6]  Hla Myo Tun,et al.  Implementation Of Flight Control System Based On Kalman And PID Controller For UAV , 2014 .

[7]  Debasish Ghose,et al.  A Composite Guidance Strategy for Optical Flow based UAV Navigation , 2014 .

[8]  Laith R. Sahawneh.  Airborne Collision Detection and Avoidance for Small UAS Sense and Avoid Systems , 2016 .

[9]  James Liu,et al.  Obstacle Avoidance System for UAVs Using Computer Vision , 2015 .

[10]  Sunny Bhardwaj,et al.  Sensor System Implementation for Unmanned Aerial Vehicles , 2015 .

[11]  S. S. Gaikwad,et al.  Agriculture Drone for Spraying Fertilizer and Pesticides , 2016 .

[12]  Brajesh Kumar Kaushik,et al.  Air Turbulence Mitigation Techniques for Long-Range Terrestrial Surveillance , 2017 .

[13]  Vincent Lepetit,et al.  Vision-based Unmanned Aerial Vehicle detection and tracking for sense and avoid systems , 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

[14]  Ramesha Shettigar,et al.  Comparative study on SIFT and SURF face feature descriptors , 2017, 2017 International Conference on Inventive Communication and Computational Technologies (ICICCT).

[15]  Gary R. Bradski,et al.  ORB: An efficient alternative to SIFT or SURF , 2011, 2011 International Conference on Computer Vision.

[16]  V. Vaithiyanathan,et al.  Image Registration Techniques Based on the Scale Invariant Feature Transform , 2017 .

[17]  Srikanth Saripalli,et al.  Sense and avoid for Unmanned Aerial Vehicles using ADS-B , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

[18]  Bálint Vanek,et al.  A Five-Camera Vision System for UAV Visual Attitude Calculation and Collision Warning , 2013, ICVS.

[19]  Wilbert Geovanny Aguilar Castillo,et al.  Obstacle Avoidance Based-Visual Navigation for Micro Aerial Vehicles , 2017 .

[20]  Klaus D. McDonald-Maier,et al.  On-Board Vision Processing for Small UAVs: Time to Rethink Strategy , 2009, 2009 NASA/ESA Conference on Adaptive Hardware and Systems.

[21]  Matthew J. Rutherford,et al.  Radar-based detection and identification for miniature air vehicles , 2011, 2011 IEEE International Conference on Control Applications (CCA).

[22]  Vincent Lepetit,et al.  BRIEF: Binary Robust Independent Elementary Features , 2010, ECCV.

[23]  Hamid D. Taghirad,et al.  Autonomous flight and obstacle avoidance of a quadrotor by monocular SLAM , 2016, 2016 4th International Conference on Robotics and Mechatronics (ICROM).

[24]  Gaurav Kumar,et al.  Vision Based Obstacle Detection mechanism of a Fixed Wing UAV , 2014 .