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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shigang Yue Rind, F.C. |
| Copyright Year | 2009 |
| Description | Author affiliation: Building, School of Biology, University of Newcastle, Newcastle upon Tyne, NE1 7RU, UK (Rind, F.C.) || Dept of Computing and Informatics, University of Lincoln, LN6 7TS, UK (Shigang Yue) |
| Abstract | In this paper, we proposed a method for near range path navigation for a mobile robot by using a pair of biologically 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. |
| Starting Page | 105 |
| Ending Page | 109 |
| File Size | 226109 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424445196 |
| DOI | 10.1109/ICCSIT.2009.5234439 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-08-08 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | path navigation visual neural network Navigation Robot vision systems Electronic mail Mobile robots Visual system LGMD Animals Machine vision Neural networks Biology computing Collision avoidance |
| Content Type | Text |
| Resource Type | Article |
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