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All Journal Journal of Applied Smart Electrical Network and System (JASENS)
Akbara, Febrian
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Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

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Simulasi Deteksi Marka Jalan Menggunakan Canny Edge Detection untuk Navigasi Kendaraan Otonom Akbara, Febrian; Ii Munadhif; Mohammad Abu Jami'in; Ryan Yudha Adhitya; Imam Sutrisno
Journal of Applied Smart Electrical Network and Systems Vol. 6 No. 2 (2025): Vol. 6 No. 02 (2025): Vol 06, No. 02 Desember 2025
Publisher : Indonesian Society of Applied Science (ISAS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/1a6jvn12

Abstract

This study develops an automatic steering control system based on image processing using the Canny Edge Detection method. The system is implemented on a small-scale autonomous vehicle prototype, utilizing Raspberry Pi 5 as the main processor and a Pi Camera as the visual sensor. Video frames are processed through several stages, including color conversion, Grayscale, Gaussian blur, Edge Detection, Region of Interest (RoI), and lane center estimation. The results show an average lane detection accuracy of 96% with responsive steering control, indicating the system's potential for lightweight autonomous vehicle navigation.
Co-Authors Ii Munadhif Imam Sutrisno Mohammad Abu Jami'in Ryan Yudha Adhitya