Radar system on a large autonomous vehicle for personnel avoidance

Jerry Silvious; Ron Wellman; Dave Tahmoush; John Clark

doi:10.1117/12.850420

26 April 2010 Radar system on a large autonomous vehicle for personnel avoidance

Jerry Silvious, Ron Wellman, Dave Tahmoush, John Clark

Proceedings Volume 7669, Radar Sensor Technology XIV; 766905 (2010) https://doi.org/10.1117/12.850420
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States

Abstract

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.

Citation Download Citation

Jerry Silvious, Ron Wellman, Dave Tahmoush, and John Clark "Radar system on a large autonomous vehicle for personnel avoidance", Proc. SPIE 7669, Radar Sensor Technology XIV, 766905 (26 April 2010); https://doi.org/10.1117/12.850420

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available