Title :
Echoic flow for cognitive radar guidance
Author :
Smith, Graeme E. ; Alsaif, Saif ; Baker, Christopher J.
Author_Institution :
Electron. & Electr. Eng. Dept., Ohio State Univ., Columbus, OH, USA
Abstract :
Echoic flow is an inherently cognitive method for linking action and perception in radar and sonar systems. In this paper, we describe a first demonstration using echoic flow to guide a robotic vehicle autonomously around an unknown course. We briefly introduce the key concepts that underpin echoic flow and describe how echoic flow can be used to form a cognitive guidance system. Full-scale experiments with a robot platform demonstrate the advocated technique able to traverse a square corridor course where one of the sides has the extra complication of a chicane feature.
Keywords :
cognitive radio; radar; robots; sonar; chicane feature; cognitive guidance system; cognitive radar guidance; echoic flow; inherently cognitive method; radar systems; robot platform; robotic vehicle; sonar systems; square corridor course; underpin echoic flow; Acoustics; Collision avoidance; Navigation; Radar; Robot sensing systems; Ultrasonic variables measurement;
Conference_Titel :
Radar Conference, 2014 IEEE
Conference_Location :
Cincinnati, OH
Print_ISBN :
978-1-4799-2034-1
DOI :
10.1109/RADAR.2014.6875641