Jurnal Teknoin
Vol. 20 No. 4 (2014)

KALMAN FILTER SEBAGAI METODE ESTIMASI UNTUK MENGUKUR KECEPATAN KENDARAAN

Romi Wiryadinata (SINKEN Research Group, Jurusan Teknik Elektro, Universitas Sultan Ageng Tirtayasa)



Article Info

Publish Date
27 Feb 2017

Abstract

Methods for estimating speed be categorized into two classes, namely active method and passive methods. One method that can be used in speed estimation using a passive method is the Kalman filter. Kalman filter is an very effective estimator that is in estimating state dynamics system involving white noise. In this study, the Kalman filter will be used to estimate the variation of vehicle speed from a speed of 5 km/hour to 60 km/hour. Kalman filter is designed to get input in the form of cascading imagery of the vehicle video recordings. Results of the testing showed that speed can be minimum estimated is 20 km hour with an error of 4.25%. While the maximum estimated speed is 60 km/hour with an error of 0.22%.

Copyrights © 2014






Journal Info

Abbrev

jurnal-teknoin

Publisher

Subject

Engineering Mechanical Engineering

Description

Teknoin memiliki komitmen untuk mempublikasikan topik-topik dalam bidang teknologi industri. Selain itu, dengan fitur jurnal open-access, diharapkan Teknoin dapat menjadi rujukan akademis tanpa batas baik untuk penelitian, pengajaran, maupun tujuan akademis ...