SENSOR MODELLING AND FUSION FOR FUZZY NAVIGATION OF AN AGV
In this paper, the authors describe a fuzzy behavioral approach for navigating an autonomous guided vehicle (AGV) using infrared proximity sensors and a laser range measurement system. The proximity sensors are used to provide distance information based on their logic patterns. A method for associating the logic patterns to fuzzy linguistic variables is presented. A laser scanner is used in conjunction with the proximity sensors in local navigation and obstacle avoidance duties. A fuzzy histogram grid approach is used to integrate and fuse the two sensor types. It is shown that in addition to the logic patterns of the proximity sensors, the simulator is able to monitor vehicle performance through a traveling profile, heading angles, and changes in steering commands.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/oclc/13569508
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Supplemental Notes:
- Publication Date: 2001
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Corporate Authors:
Nanyang Technological University
School of Electrical and Electronic Engineering
, Singapore -
Authors:
- Wijesoma, W S
- Khaw, P P
- Teoh, E K
- Publication Date: 2001
Language
- English
Media Info
- Pagination: p. 14-25
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Serial:
- International journal of robotics & automation. Vol. 16, no. 1
- Publisher: Nanyang Technological University
- ISSN: 0826-8185
Subject/Index Terms
- TRT Terms: Automated guided vehicle systems; Data fusion; Fuzzy systems; Infrared detectors; Robotics
- Subject Areas: Data and Information Technology;
Filing Info
- Accession Number: 00930237
- Record Type: Publication
- Source Agency: UC Berkeley Transportation Library
- Files: PATH
- Created Date: Sep 3 2002 12:00AM