2 D and 3 D Millimeter-Wave Synthetic Aperture Radar Imaging on a PR 2 Platform

Optical depth cameras, including both time-offlight and structured-light sensors, have led to dramatic improvements in robot sensing and perception. We propose the use of millimeter-wave (mmW) radar as an important complement to optical sensors. While the millimeter wavelengths of radar sensors do not support as high resolution as the nanometer wavelength of optical sensors, the ability of mmW signals to penetrate smoky and foggy environments as well as see through many opaque objects makes them a compelling sensor for navigation as well as manipulation in challenging environments. We present a series of 2D and 3D mmW images made with a hand-held antenna grasped by a PR2 robot. The radar image sensor uses a mechanical “painting” motion to acquire multiple views of the target object over the 15 − 26.5 GHz K-band. A GPU-based reconstruction algorithm synthesizes 2D and 3D images of the target object. We demonstrate a ground range resolution of 13.6 mm and a cross-range resolution of 7.1 mm for objects up to 0.5 m away from the robot. We further demonstrate imaging objects through fog, as well as through opaque paper.

[1]  I. Hajnsek,et al.  A tutorial on synthetic aperture radar , 2013, IEEE Geoscience and Remote Sensing Magazine.

[2]  Kevin Skadron,et al.  Scalable parallel programming , 2008, 2008 IEEE Hot Chips 20 Symposium (HCS).

[3]  Dirk Langer,et al.  An integrated MMW radar system for outdoor navigation , 1996, Proceedings of IEEE International Conference on Robotics and Automation.

[4]  C. C. Chen Attenuation of Electromagnetic Radiation by Haze, Fog, Clouds, and Rain , 1975 .

[5]  Matthew S. Reynolds,et al.  Finding and navigating to household objects with UHF RFID tags by optimizing RF signal strength , 2014, 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[6]  Lam H. Nguyen,et al.  Forward imaging for obstacle avoidance using ultrawideband synthetic aperture radar , 2003, SPIE Defense + Commercial Sensing.

[7]  Gianluca Gennarelli,et al.  SAR Imaging Algorithms and Some Unconventional Applications: A unified mathematical overview , 2014, IEEE Signal Processing Magazine.

[8]  Petra Holtzmann Directed Sonar Sensing For Mobile Robot Navigation , 2016 .

[9]  Martin Vossiek,et al.  A Rotating Synthetic Aperture Radar Imaging Concept for Robot Navigation , 2014, IEEE Transactions on Microwave Theory and Techniques.

[10]  Gang Li,et al.  Position control of a robot end-effector based on synthetic aperture wireless localization , 2014, 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[11]  Joachim Hertzberg,et al.  A 3D laser range finder for autonomous mobile robots , 2001 .

[12]  Jidong Huang,et al.  Study on the use of Microsoft Kinect for robotics applications , 2012, Proceedings of the 2012 IEEE/ION Position, Location and Navigation Symposium.

[13]  Domingo Mery,et al.  A survey of land mine detection technology , 2009 .

[14]  Arthur Albert,et al.  Regression and the Moore-Penrose Pseudoinverse , 2012 .

[15]  Ian G. Cumming,et al.  Digital Processing of Synthetic Aperture Radar Data: Algorithms and Implementation , 2005 .