A brief review on the positioning technologies for unmanned aerial vehicles

The research of unmanned aerial vehicles (UAVs) is outburst in several areas, which has shown a great potential as a low-cost, flexible and reliable platform, and the positioning is one of the most important techniques in UAV filed include tracking and monitoring, sense and avoid, formation and so on. In this paper, these methods are reviewed, and the characteristics and differences of the methods are discussed according to the environment of the UAV flight, and ranging or not in processing, with image and satellite information or not in more details. Furthermore, the prospect of positioning technology is described, and the possible develop direction based on the application requirements is analyzed, which provides reference for the study of location technology for UAV.

[1]  Elcio Hideiti Shiguemori,et al.  Estimation of UAV position using LiDAR images for autonomous navigation over the ocean , 2015, 2015 9th International Conference on Sensing Technology (ICST).

[2]  Saurav Agarwal,et al.  RFM-SLAM: Exploiting relative feature measurements to separate orientation and position estimation in SLAM , 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).

[3]  Marko Beko,et al.  Kalman filter for target tracking using coupled RSS and AoA measurements , 2017, 2017 13th International Wireless Communications and Mobile Computing Conference (IWCMC).

[4]  George Alfredo Longhitano VANTS para sensoriamento remoto: aplicabilidade na avaliação e monitoramento de impactos ambientais causados por acidentes com cargas perigosas. , 2010 .

[5]  D. Dardari,et al.  Experimental results on cooperative UWB based positioning systems , 2008, 2008 IEEE International Conference on Ultra-Wideband.

[6]  Holger Voos,et al.  Real-time graph-based SLAM in unknown environments using a small UAV , 2017, 2017 International Conference on Unmanned Aircraft Systems (ICUAS).

[7]  Xu Shanjia,et al.  An unmanned air vehicle (UAV) GPS location and navigation system , 1998, ICMMT'98. 1998 International Conference on Microwave and Millimeter Wave Technology. Proceedings (Cat. No.98EX106).

[8]  Tor Arne Johansen,et al.  Nonlinear observer for INS aided by time-delayed GNSS measurements: Implementation and UAV experiments , 2015, 2015 International Conference on Unmanned Aircraft Systems (ICUAS).

[9]  G. Conte,et al.  An Integrated UAV Navigation System Based on Aerial Image Matching , 2008, 2008 IEEE Aerospace Conference.

[10]  Moustafa H. Aly,et al.  Improved VLC-based indoor positioning system using a regression approach with conventional RSS techniques , 2017, 2017 13th International Wireless Communications and Mobile Computing Conference (IWCMC).

[11]  Jiang Wu,et al.  A novel location method based on 2D laser scanning sensor terrain matching for UAV autonomous flight , 2012 .

[12]  Daibing Zhang,et al.  UAV formation: From numerical simulation to actual flight , 2015, 2015 IEEE International Conference on Information and Automation.

[13]  Nicolas Boizot,et al.  A Real-Time Adaptive High-Gain EKF, Applied to a Quadcopter Inertial Navigation System , 2014, IEEE Transactions on Industrial Electronics.

[14]  L. G. Ferreira,et al.  MAPEAMENTO DA COBERTURA E USO DA TERRA: UMA ABORDAGEM UTILIZANDO DADOS DE SENSORIAMENTO REMOTO ÓPTICO MULTITEMPORAIS E PROVENIENTES DE MÚLTIPLAS PLATAFORMAS , 2014, Revista Brasileira de Cartografia.

[15]  Matthew Rhudy,et al.  Robust UAV Relative Navigation With DGPS, INS, and Peer-to-Peer Radio Ranging , 2015, IEEE Transactions on Automation Science and Engineering.

[16]  Tien Sze Lim,et al.  A MEMS based, low cost GPS-aided INS for UAV motion sensing , 2014, 2014 IEEE/ASME International Conference on Advanced Intelligent Mechatronics.

[17]  Rahim Tafazolli,et al.  A hybrid data fusion based cooperative localization approach for cellular networks , 2011, 2011 7th International Wireless Communications and Mobile Computing Conference.

[18]  Jiabin Xu,et al.  Modelling and simulation on wireless communication positioning technology in the mall , 2017, 2017 29th Chinese Control And Decision Conference (CCDC).

[19]  Moe Z. Win,et al.  The Effect of Cooperation on UWB-Based Positioning Systems Using Experimental Data , 2008, EURASIP J. Adv. Signal Process..

[20]  Shinsuke Hara,et al.  A Theoretical Error Analysis on Indoor TOA Localization Scheme Using Unmanned Aerial Vehicles , 2015, 2015 IEEE 81st Vehicular Technology Conference (VTC Spring).

[21]  Ronald Raulefs,et al.  Recent Advances in Indoor Localization: A Survey on Theoretical Approaches and Applications , 2017, IEEE Communications Surveys & Tutorials.