Experimental Analysis of Radar Odometry by Commercial Ultralight Radar Sensor for Miniaturized UAS

Autonomous navigation of miniaturized Unmanned Aircraft Systems (UAS) in complex environments, when Global Positioning System is unreliable or not available, is still an open issue. This paper contributes to that topic exploring the use of radar-only odometry by existing commercial ultralight radars. The focus is set on an end-to-end Multiple-Target Tracking strategy compliant with desired sensor and platform, which exploits both range and bearing measurements provided by the radar. A two-dimensional odometry approach is then implemented. Main results show real-time capabilities and standard deviation of errors in Forward and Cross-range directions smaller than 1.50 m and 3.00 m, respectively. Field test data are also used to discuss the potential of this technique, challenging issues, and future improvements.

[1]  S.S. Blackman,et al.  Multiple hypothesis tracking for multiple target tracking , 2004, IEEE Aerospace and Electronic Systems Magazine.

[2]  Yu T. Morton,et al.  Real-Time UWB-OFDM Radar-Based Navigation in Unknown Terrain , 2013, IEEE Transactions on Aerospace and Electronic Systems.

[3]  Antonio Moccia Synthetic Aperture Radar , 2010 .

[4]  Johanna Moore,et al.  Comparison of two CFAR methods used with square law detection of Swerling I targets , 1980 .

[5]  Richard K. Moore,et al.  Radar remote sensing and surface scattering and emission theory , 1986 .

[6]  Randal W. Beard,et al.  Radar odometry with recursive-RANSAC , 2016, IEEE Transactions on Aerospace and Electronic Systems.

[7]  Yaakov Bar-Shalom,et al.  Estimation and Tracking: Principles, Techniques, and Software , 1993 .

[8]  M. J. Rycroft,et al.  Radar signals: An introduction to theory and application , 1995 .

[9]  Roland Siegwart,et al.  Vision based MAV navigation in unknown and unstructured environments , 2010, 2010 IEEE International Conference on Robotics and Automation.

[10]  R. Bucy,et al.  Filtering for stochastic processes with applications to guidance , 1968 .

[11]  H. Rohling,et al.  SOME RADAR TOPICS: WAVEFORM DESIGN, RANGE CFAR AND TARGET RECOGNITION , 2006 .

[12]  Eric B. Quist UAV Navigation and Radar Odometry , 2015 .

[13]  Friedrich Fraundorfer,et al.  Visual Odometry Part I: The First 30 Years and Fundamentals , 2022 .

[14]  Stefan Kohlbrecher,et al.  A flexible and scalable SLAM system with full 3D motion estimation , 2011, 2011 IEEE International Symposium on Safety, Security, and Rescue Robotics.

[15]  Randal W. Beard,et al.  Radar odometry on fixed-wing small unmanned aircraft , 2016, IEEE Transactions on Aerospace and Electronic Systems.

[16]  Daniel Cremers,et al.  Real-time visual odometry from dense RGB-D images , 2011, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops).

[17]  Albert Huizing,et al.  FMCW radar for the sense function of sense and avoid systems onboard UAVs , 2013, Optics/Photonics in Security and Defence.

[18]  Elliott D. Kaplan Understanding GPS : principles and applications , 1996 .

[19]  V. Hansen,et al.  Detectability Loss Due to "Greatest Of" Selection in a Cell-Averaging CFAR , 1980, IEEE Transactions on Aerospace and Electronic Systems.

[20]  Chris Baker,et al.  Passive Bistatic Radar Systems , 2008 .

[21]  Hermann Rohling,et al.  Radar CFAR Thresholding in Clutter and Multiple Target Situations , 1983, IEEE Transactions on Aerospace and Electronic Systems.

[22]  François Bourgeois,et al.  An extension of the Munkres algorithm for the assignment problem to rectangular matrices , 1971, CACM.

[23]  L.M. Novak,et al.  Radar Target Detection and Map-Matching Algorithm Studies , 1980, IEEE Transactions on Aerospace and Electronic Systems.

[24]  Richard K. Moore,et al.  Microwave Remote Sensing, Active and Passive , 1982 .

[25]  Guido C. H. E. de Croon,et al.  Autonomous flight of a 20-gram Flapping Wing MAV with a 4-gram onboard stereo vision system , 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

[26]  Parimal Hemchandra Kopardekar Safely Enabling Low-Altitude Airspace Operations: Unmanned Aerial System Traffic Management (UTM) , 2015 .

[27]  Giancarmine Fasano,et al.  Cooperative UAV navigation based on distributed multi-antenna GNSS, vision, and MEMS sensors , 2015, 2015 International Conference on Unmanned Aircraft Systems (ICUAS).

[28]  Antonio Moccia,et al.  Preliminary Study of a Millimeter Wave FMCW InSAR for UAS Indoor Navigation , 2015, Sensors.

[29]  A. Moccia,et al.  Flight Test of a Radar-Based Tracking System for UAS Sense and Avoid , 2013, IEEE Transactions on Aerospace and Electronic Systems.

[30]  J. Munkres ALGORITHMS FOR THE ASSIGNMENT AND TRANSIORTATION tROBLEMS* , 1957 .

[31]  Arnulf Leuther,et al.  SARape - Synthetic aperture radar for all weather penetrating UAV application , 2013, 2013 14th International Radar Symposium (IRS).

[32]  Ji Zhang,et al.  Low-drift and real-time lidar odometry and mapping , 2017, Auton. Robots.

[33]  Tobias Klein,et al.  Small and light 24 GHz multi-channel radar , 2014, 2014 IEEE Antennas and Propagation Society International Symposium (APSURSI).

[34]  James R. Bergen,et al.  Visual odometry , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

[35]  John Rickard,et al.  Adaptive Detection Algorithms for Multiple-Target Situations , 1977, IEEE Transactions on Aerospace and Electronic Systems.

[36]  Roland Siegwart,et al.  Onboard IMU and monocular vision based control for MAVs in unknown in- and outdoor environments , 2011, 2011 IEEE International Conference on Robotics and Automation.

[37]  A. Willsky,et al.  Signals and Systems , 2004 .

[38]  G. Trunk Range Resolution of Targets Using Automatic Detectors , 1978, IEEE Transactions on Aerospace and Electronic Systems.

[39]  M. Weiss,et al.  Analysis of Some Modified Cell-Averaging CFAR Processors in Multiple-Target Situations , 1982, IEEE Transactions on Aerospace and Electronic Systems.

[40]  Giancarmine Fasano,et al.  Ultralight radar sensor for autonomous operations by micro-UAS , 2016, 2016 International Conference on Unmanned Aircraft Systems (ICUAS).

[41]  George M. Dillard,et al.  A Distribution-Free Doppler Processor , 1974, IEEE Transactions on Aerospace and Electronic Systems.

[42]  Giancarmine Fasano,et al.  RGB-D camera-based quadrotor navigation in GPS-denied and low light environments using known 3D markers , 2015, 2015 International Conference on Unmanned Aircraft Systems (ICUAS).

[43]  Giancarmine Fasano,et al.  Exploiting Forward Looking Radar Measurements and Digital Map Data Fusion for Altimetry Estimation during Low-Altitude Flight , 2011 .

[44]  Antonio Moccia,et al.  Investigation on radar-based applications for mini-UAS and MAVs , 2016, 2016 17th International Radar Symposium (IRS).

[45]  Matthew J. Rutherford,et al.  UAV-borne X-band radar for MAV collision avoidance , 2011, Defense + Commercial Sensing.