Robust Target-Relative Localization with Ultra-Wideband Ranging and Communication

In this paper we propose a method to achieve relative positioning and tracking of a target by a quadcopter using Ultra-wideband (UWB) ranging sensors, which are strategically installed to help retrieve both relative position and bearing between the quadcopter and target. To achieve robust localization for autonomous flight even with uncertainty in the speed of the target, two main features are developed. First, an estimator based on Extended Kalman Filter (EKF) is developed to fuse UWB ranging measurements with data from onboard sensors including inertial measurement unit (IMU), altimeters and optical flow. Second, to properly handle the coupling of the target's orientation with the range measurements, UWB based communication capability is utilized to transfer the target's orientation to the quadcopter. Experiments results demonstrate the ability of the quadcopter to control its position relative to the target autonomously in both cases when the target is static and moving.

[1]  Mark W. Mueller,et al.  Fusing ultra-wideband range measurements with accelerometers and rate gyroscopes for quadrocopter state estimation , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

[2]  Aníbal Ollero,et al.  Localization and mapping for aerial manipulation based on range-only measurements and visual markers , 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

[3]  Pascual Campoy Cervera,et al.  Vision based GPS-denied Object Tracking and following for unmanned aerial vehicles , 2013, 2013 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR).

[4]  Chen Wang,et al.  Kernel Cross-Correlator , 2017, AAAI.

[5]  Magnus Egerstedt,et al.  The GRITSBot in its natural habitat - A multi-robot testbed , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

[6]  A. V. Savkin,et al.  Distributed control of multiple non-holonomic robots with sector vision and range-only measurements for target capturing with collision avoidance , 2014, Robotica.

[7]  Chen Wang,et al.  Correlation Flow: Robust Optical Flow Using Kernel Cross-Correlators , 2018, 2018 IEEE International Conference on Robotics and Automation (ICRA).

[8]  Wei Meng,et al.  Ultra-wideband based cooperative relative localization algorithm and experiments for multiple unmanned aerial vehicles in GPS denied environments , 2017 .

[9]  Baris Fidan,et al.  Adaptive Environmental Source Localization and Tracking with Unknown Permittivity and Path Loss Coefficients † , 2015, Sensors.

[10]  Raffaello D'Andrea,et al.  A robot self-localization system using one-way ultra-wideband communication , 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

[11]  Brian D. O. Anderson,et al.  Adaptive range‐measurement‐based target pursuit , 2013 .

[12]  Jur P. van den Berg,et al.  3-D Reciprocal Collision Avoidance on Physical Quadrotor Helicopters with On-Board Sensing for Relative Positioning , 2014, ArXiv.

[13]  Pascual Campoy Cervera,et al.  Computer vision based general object following for GPS-denied multirotor unmanned vehicles , 2014, 2014 American Control Conference.

[14]  Otmar Hilliges,et al.  Omni-directional person tracking on a flying robot using occlusion-robust ultra-wideband signals , 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

[15]  Chen Wang,et al.  Ultra-wideband aided fast localization and mapping system , 2017, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

[16]  Wei Meng,et al.  Ultra-Wideband-Based Localization for Quadcopter Navigation , 2016, Unmanned Syst..

[17]  Xiang Zhou,et al.  Airborne Vision-Based Navigation Method for UAV Accuracy Landing Using Infrared Lamps , 2013, J. Intell. Robotic Syst..