Radar system on a large autonomous vehicle for personnel avoidance

The US Army Research Laboratory designed, developed and tested a novel switched beam radar system operating at 76 GHz for use in a large autonomous vehicle to detect and identify roadway obstructions including slowly-moving personnel. This paper discusses the performance requirements for the system to operate in an early collision avoidance mode to a range of 150 meters and at speeds of over 20 m/s. We report the measured capabilities of the system to operate in these modes under various conditions, such as rural and urban environments, and on various terrains, such as asphalt and grass. Finally, we discuss the range-Doppler map processing capabilities that were developed to correct for platform motion and identify roadway vehicles and personnel moving at 1 m/s or more along the path of the system.

[1]  Charles E. Thorpe,et al.  Simultaneous localization and mapping with detection and tracking of moving objects , 2002, Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292).

[2]  Spyros G. Tzafestas,et al.  Neural networks in robotics: state of the art , 1995, 1995 Proceedings of the IEEE International Symposium on Industrial Electronics.

[3]  Amir I. Zaghloul,et al.  Characterization of a 76 GHz antenna for personnel avoidance radar for robotics vehicles , 2009, 2009 IEEE Radar Conference.

[4]  Calvin Le,et al.  Time-Frequency Analysis of a Moving Human Doppler Signature , 2009 .

[5]  Gregory S. Chirikjian,et al.  A new potential field method for robot path planning , 2000, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065).

[6]  Alberto Elfes,et al.  Using occupancy grids for mobile robot perception and navigation , 1989, Computer.

[7]  Li Lei,et al.  PRESENT STATE AND FUTURE DEVELOPMENT OF MOBILE ROBOT TECHNOLOGY RESEARCH , 2002 .

[8]  Dave Tahmoush,et al.  Micro-Doppler phenomenology of humans at UHF and Ku-band for biometric characterization , 2009, Defense + Commercial Sensing.

[9]  Amir I. Zaghloul,et al.  Designing a 32 element array at 76GHz with a 33dB taylor distribution in waveguide for a radar system , 2009, 2009 IEEE Antennas and Propagation Society International Symposium.

[10]  Petros A. Ioannou,et al.  New Potential Functions for Mobile Robot Path Planning , 2000 .