High‐resolution millimeter‐wave radar systems for visualization of unstructured outdoor environments

This paper examines the use of millimeter-wave radar systems for visualization and navigation in unstructured outdoor environments. Three types of radar systems are described. The first is a long range, 94 GHz, frequency modulated interrupted continuous wave radar which is capable of producing two-dimensional (2D) reflectivity images to a range of more than 3 km. This is intended for use in long-range path planning. The second is a class of medium range 77 GHz frequency modulated continuous wave (FMCW) radar with two axis mirror scanners which is capable of producing high resolution threedimensional (3D) imagery out to 500 m at a reasonably slow frame rate. The final class also operates using the FMCW principle, but at 94 GHz, to produce high resolution 2D and 3D images out to about 50 m at a much higher update rate. These shorter range sensors may be used to determine the traversability of the local terrain. The outputs produced by the different classes of radar are examined and the paper considers their advantages when compared to other sensors such as vision and scanning laser. Using radar images, the final section compiles rules for interpreting radar reflectivity images from a path-planning perspective. © 2006 Wiley Periodicals, Inc.

[1]  S. Scheding,et al.  Terrain imaging millimetre wave radar , 2002, 7th International Conference on Control, Automation, Robotics and Vision, 2002. ICARCV 2002..

[2]  Jussi Suomela,et al.  Millimetre Wave Radar for Close Terrain Mapping of an Intelligent Autonomous Vehicle , 1995 .

[3]  N. Currie,et al.  Principles and Applications of Millimeter-Wave Radar , 1987 .

[4]  G.M. Brooker,et al.  W-band airborne interrupted frequency modulated CW imaging radar , 2005, IEEE Transactions on Aerospace and Electronic Systems.

[5]  F. Ulaby,et al.  Handbook of radar scattering statistics for terrain , 1989 .

[6]  Julius Goldhirsh,et al.  Attenuation and backscatter from a derived two-dimensional duststorm model , 2001 .

[7]  John F. Canny,et al.  A Computational Approach to Edge Detection , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[8]  Graham M. Brooker,et al.  Application of Millimetre Wave Radar Sensor to Environment Mapping in Surface Mining , 2006, 2006 9th International Conference on Control, Automation, Robotics and Vision.

[9]  Prakash Bhartia,et al.  Millimeter Wave Engineering and Applications , 1984 .

[10]  Richard Buse,et al.  Feature measurement and analysis using Gabor filters , 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

[11]  Graham Brooker,et al.  Long-Range Imaging Radar for Autonomous Navigation , 2005 .

[12]  Dennis F. Dunn,et al.  Optimal Gabor filters for texture segmentation , 1995, IEEE Trans. Image Process..

[13]  Hugh F. Durrant-Whyte,et al.  The design of a radar-based navigation system for large outdoor vehicles , 1995, Proceedings of 1995 IEEE International Conference on Robotics and Automation.