Simulasi Deteksi Marka Jalan Menggunakan Canny Edge Detection untuk Navigasi Kendaraan Otonom
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.
Fields of Study & Subjects
Autonomous Vehicle Technology and Safety
Vehicle Dynamics and Control Systems
Advanced Neural Network Applications
Publication details
- Journal / source
- Journal of Applied Smart Electrical Network and Systems
- Volume
- 6
- Issue
- 2
- Pages
- 69–75
- Publication date
- 5 January 2026
- Language
- EN