國立虎尾科技大學 |

Development of an autonomous mobile robot outdoor navigation system.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Development of an autonomous mobile robot outdoor navigation system./
Author:	Caglar, Faruk.
Description:	1 online resource (142 pages)
Notes:	Source: Masters Abstracts International, Volume: 47-04, page: 2388.
Contained By:	Masters Abstracts International47-04.
Subject:	Robotics. -
Online resource:	click for full text (PQDT)
ISBN:	9780549984283

Development of an autonomous mobile robot outdoor navigation system.
Caglar, Faruk.

Development of an autonomous mobile robot outdoor navigation system. - 1 online resource (142 pages)

Source: Masters Abstracts International, Volume: 47-04, page: 2388.

Thesis (M.S.)--Tennessee State University, 2008.

Includes bibliographical references

Navigation is a fundamental capability that mobile robots must possess. Outdoor navigation is especially challenging due to numerous uncertainties and dynamic changes in the environment such as varying lightning conditions. A robust outdoor navigation system utilizing navigational sensors such as GPS, vision, laser, and sonar improves autonomy of robots and their task handling capabilities. This thesis focuses on the development and testing of an outdoor navigation system for mobile robots that improves autonomy. This navigation system enables a mobile robot equipped with GPS, laser and sonar range finders, and vision system to navigate from a known initial position to a given target location in an outdoor environment. Waypoints that the robot will track are created in XML format by waypoints generator web interface and are given to robot prior to starting movement. The real-time tracking web interface continuously displays the position of the robot on the map by utilizing the GPS readings. An artificial neural network was designed and developed for detecting roads. Real-time computer vision algorithms were developed for online path planning and obstacle avoidance. The developed system was also tested for road detection success rate and eighty seven (87%) percent of successful road center detection rate was accomplished. The system has been successfully implemented and tested using a Pioneer 3-AT mobile robot in outdoor environments.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780549984283Subjects--Topical Terms:

561941
Robotics.
Index Terms--Genre/Form:

554714
Electronic books.

Development of an autonomous mobile robot outdoor navigation system.
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100 1 $a Caglar, Faruk. $3 1189470
245 1 0 $a Development of an autonomous mobile robot outdoor navigation system.
264 0 $c 2008
300 $a 1 online resource (142 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Masters Abstracts International, Volume: 47-04, page: 2388.
500 $a Adviser: Ali Sekmen.
502 $a Thesis (M.S.)--Tennessee State University, 2008.
504 $a Includes bibliographical references
520 $a Navigation is a fundamental capability that mobile robots must possess. Outdoor navigation is especially challenging due to numerous uncertainties and dynamic changes in the environment such as varying lightning conditions. A robust outdoor navigation system utilizing navigational sensors such as GPS, vision, laser, and sonar improves autonomy of robots and their task handling capabilities. This thesis focuses on the development and testing of an outdoor navigation system for mobile robots that improves autonomy. This navigation system enables a mobile robot equipped with GPS, laser and sonar range finders, and vision system to navigate from a known initial position to a given target location in an outdoor environment. Waypoints that the robot will track are created in XML format by waypoints generator web interface and are given to robot prior to starting movement. The real-time tracking web interface continuously displays the position of the robot on the map by utilizing the GPS readings. An artificial neural network was designed and developed for detecting roads. Real-time computer vision algorithms were developed for online path planning and obstacle avoidance. The developed system was also tested for road detection success rate and eighty seven (87%) percent of successful road center detection rate was accomplished. The system has been successfully implemented and tested using a Pioneer 3-AT mobile robot in outdoor environments.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Robotics. $3 561941
655 7 $a Electronic books. $2 local $3 554714
690 $a 0771
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a Tennessee State University. $b Electrical & Computer Engineering. $3 1184925
773 0 $t Masters Abstracts International $g 47-04.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1461696 $z click for full text (PQDT)