A New Algorithm for ABS/GPS Integration Based on Fuzzy-Logic in Vehicle Navigation System

GPS based vehicle navigation systems have difficulties in tracking vehicles in urban canyons due to poor satellite availability. ABS (Antilock Brake System) Navigation System consists of self-contained optical encoders mounted on vehicle wheels that can continuously provide accurate short-term posit...

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Bibliographic Details
Main Authors: Ali Amin Zadeh, Hamed Banizaman, Ali Torab Jahromi, Ali Akbar Safavi
Format: Article
Language:English
Published: Najafabad Branch, Islamic Azad University 2011-10-01
Series:Journal of Intelligent Procedures in Electrical Technology
Subjects:
GPS
ABS
Online Access:http://jipet.iaun.ac.ir/pdf_4428_743e0c000df6f402674c227c5b97cb96.html
Description
Summary:GPS based vehicle navigation systems have difficulties in tracking vehicles in urban canyons due to poor satellite availability. ABS (Antilock Brake System) Navigation System consists of self-contained optical encoders mounted on vehicle wheels that can continuously provide accurate short-term positioning information. In this paper, a new concept regarding GPS/ABS integration, based on Fuzzy Logic is presented. The proposed algorithm is used to identify GPS position accuracy based on environment and vehicle dynamic knowledge. The GPS is used as reference during the time it is in a good condition and replaced by ABS positioning system when GPS information is unreliable. We compare our proposed algorithm with other common algorithm in real environment. Our results show that the proposed algorithm can significantly improve the stability and reliability of ABS/GPS navigation system.
ISSN:2322-3871
2345-5594