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Near range path navigation using LGMD visual neural networks

By Shigang Yue and F. Claire Rind

Abstract

In this paper, we proposed a method for near range path navigation for a mobile robot by using a pair of biologically\ud inspired visual neural network – lobula giant movement detector (LGMD). In the proposed binocular style visual system, each LGMD processes images covering a part of the wide field of view and extracts relevant visual cues as its output. The outputs from the two LGMDs are compared and translated into executable motor commands to control the wheels of the robot in real time. Stronger signal from the LGMD in one side pushes the robot away from this side step by step; therefore, the robot can navigate in a visual environment naturally with the proposed vision system. Our experiments showed that this bio-inspired system worked well in different scenarios

Topics: G400 Computer Science
Publisher: IEEE
Year: 2009
DOI identifier: 10.1109/ICCSIT.2009.5234439
OAI identifier: oai:eprints.lincoln.ac.uk:2670

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