DocumentCode :
1964745
Title :
Intelligent Parallel Parking of a Car-like Mobile Robot Using RFID Technology
Author :
Miah, Suruz ; Gueaieb, Wail
Author_Institution :
Sch. of Inf. Technol. & Eng., Ottawa Univ., Ottawa, ON
fYear :
2007
fDate :
12-13 Oct. 2007
Firstpage :
1
Lastpage :
6
Abstract :
This paper is devoted to design and implement an intelligent control scheme for a car-like mobile robot that possesses an automatic parallel parking capability using Radio Frequency IDen-tification (RFID) technology. The present manuscript focuses on the navigation module of the overall parking system. Navigation using a few analogue features of an RFID system is a promising alternative to a variety of existing navigation techniques in the state of the art. The proposed approach exploits the ability of a mobile robot to navigate in an unstructured environment and park itself parallel to a wall using RFID tags and some analogue features provided by the RFID system interfaced with the mobile robot. This paper describes how this is achieved by placing the RFID tags in unknown three dimensional positions on the wall within the workspace. A number of computer simulations are carried out to manifest the distinguished features of the proposed technique.
Keywords :
mobile robots; path planning; radiofrequency identification; RFID technology; car-like mobile robot; computer simulations; intelligent parallel parking; navigation techniques; radio frequency identification; Computational intelligence; Fuzzy logic; Intelligent robots; Intelligent sensors; Mathematical model; Mobile robots; Nonlinear control systems; RFID tags; Radio navigation; Radiofrequency identification; Parallel parking; Radio Frequency IDentification (RFID); fuzzy logic; mobile robot navigation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotic and Sensors Environments, 2007. ROSE 2007. International Workshop on
Conference_Location :
Ottawa, Ont.
Print_ISBN :
978-1-4244-1526-7
Electronic_ISBN :
978-1-4244-1527-4
Type :
conf
DOI :
10.1109/ROSE.2007.4373975
Filename :
4373975
Link To Document :
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