GPS Data Correction Based on Fuzzy Logic for Tracking Land Vehicles

Geographic coordinate system Position (finance) Tracking system
DOI: 10.3390/math9212818 Publication Date: 2021-11-08T01:41:14Z
ABSTRACT
GPS sensors are widely used to know a vehicle’s location and track its route. Although sensor technology is advancing, they present systematic failures depending on the environmental conditions which subjected. To tackle this problem, we propose an intelligent system based fuzzy logic, takes information from correct absolute position according latitude longitude. This correction performed by two systems, one other longitude, trained using MATLAB ANFIS tool. The positioning tested with different datasets. One of them collected Pmod public dataset, was taken routes in Brazil. compare our proposal, unscented Kalman filter (UKF) implemented. main finding that proposed systems achieve performance 69.2% higher than UKF. Furthermore, suitable implement embedded such as Raspberry Pi 4. Another logical operations facilitate creation non-linear functions because ‘if else’ structure. Finally, existence justification each section easy understand.
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