Line Estimation for a Line-Following Mobile Robot
Line Estimation for a Line-Following Mobile Robot
In this study, the coordinate of the line position for a differential drive line-following mobile robot is estimated by using the Minimum Variance Unbiased Estimator. Using the sensor data as an observation data and coordinates of sensors, a linear model for Minimum Variance Unbiased Estimator is constructed. MATLAB simulations for computing Root-Mean-Square-Error and Monte Carlo Simulations and real world data are used to analyze the performance of the estimator. Using the estimated value, a feedback for PID controller is used to compute deviation in order to make the mobile robot follow the line.
Chamber Elect Engineers Bursa Branch, Istanbul Techn Univ, Fac Elect & Elect Engn, Uludag Univ, Dept Elect & Elect Engn, IEEE, Reg 8, IEEE Turkey Sect, CAS Chapter, Sci & Technol Res Council Turkey
9th International Conference on Electrical and Electronics Engineering (ELECO) -- NOV 26-28, 2015 -- Bursa, TURKEY
WOS: 000380410800158
- Anadolu University Turkey
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
Citations provided by BIP!Popularity provided by BIP!