Kereta autonomi telah diperkenalkan bagi membantu dan mengurangkan beban
dalam sesuatu pekerjaan. Contohnya di kilang pembuatan yang memerlukan
pengangkutan tanpa dikemudi oleh manusia. Dalam projek ini, kereta penjejak garisan
menggunakan kamera berdasarkan algoritma Kalman telah direka. Kamera yang
digunakan adalah CMUcam4. Kamera ini berfungsi bagi menangkap gambar dan
memproses gambar bagi mengesan garisan. Selepas gambar berjaya diproses, Arduino
akan menghantar isyarat kepada servo yang berfungsi sebagai stereng. Fungsi algoritma
Kalman adalah bagi mengurangkan hingar yang ada dalam pemprosesan gambar. Kajian
dan analisis telah dijalankan bagi membuktikan keupayaan kereta menjejak garisan.
Keputusan kajian menunjukkan bahawa kamera mampu mengesan garisan dan kereta
mampu bergerak mengikut garisan jika diberi isyarat di antara 90 dan 100 darjah.
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Autonomous cars have been introduced to help and ease workloads. For example,
industries need transportation without a physical human driver. In this project, a line
tracking car using a camera has been designed based on the Kalman filter algorithm. The
camera used was the CMUcam4. This camera works to capture and process images to
detect the line. After the pictures have been processed, the Arduino will send a signal to
the servo to steer the car. The use of Kalman filter algorithm function is to reduce noise
in image processing. Experiments and analysis were conducted to demonstrate the ability
to the car to track the line. The results showed that the camera is able to detect the line
and the car is able to follow the line if the signal speed given is between 90 and 100
degrees.
Line following car using camera with kalman filter / Muhammad Fahmi Abdul Razak