Title :
A Integrated Map Matching Algorithm Based on Fuzzy Theory for Vehicle Navigation System
Author :
Haibin, Su ; Jiansheng, Tang ; Chaozhen, Hou
Author_Institution :
Dept. of Autom. Control, Beijing Inst. of Technol.
Abstract :
Most car navigation systems estimate the car position from dead reckoning and the Global Positioning System (GPS). However, because of the unknown GPS noise, the estimated position has an undesirable error. To solve this problem, a map-matching method is introduced, which uses a digital road map to correct the position error. In this paper, based on analyzing the pure geometry and possibility statistics map matching algorithms, a integrated map matching algorithm based on fuzzy logic is proposed by synthesizing the merits of two methods and the topology relation of the real road network, and using the concept of the fuzzy theory. The real road experiments demonstrate the effectiveness and applicability of the proposed algorithm
Keywords :
Global Positioning System; fuzzy set theory; geometry; navigation; possibility theory; road traffic; vehicles; Global Positioning System; car navigation system; digital road map; fuzzy logic; fuzzy theory; geometry; integrated map matching algorithm; possibility statistics; road network; vehicle navigation system; Algorithm design and analysis; Dead reckoning; Error correction; Fuzzy logic; Fuzzy systems; Geometry; Global Positioning System; Navigation; Roads; Vehicles; fuzzy judgment; fuzzy logic; map matching; vehicle navigation;
Conference_Titel :
Computational Intelligence and Security, 2006 International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
1-4244-0605-6
Electronic_ISBN :
1-4244-0605-6
DOI :
10.1109/ICCIAS.2006.294272
