Teknik Rektifikasi Citra dan Tapis Kalman Dalam Mengestimasi Kecepatan Kendaraan

Abstract

Estimating is a challenging task when the image sequence from a camera are directly processed because there is perspective projection that causes length and area ratio of objects in the image are not preserved. In this paper, it was used image rectification technique and Kalman filter algorithm to overcome the problems encountered in order to obtain accurate vehicle velocity estimation. Rectified images as result of image rectification were processed, then Kalman filter algorithm was executed based on the processing result of the rectified images. The result of the tests showed that geometric distortion on the objects in the image sequence could be corrected well by using image rectification. Kalman filter algorithm was also good enough in estimating vehicle velocity. The error of average velocity estimation was ±3 km/hour.

Keywords

• Estimation
• Vehicle velocity
• Image rectification
• Kalman filter