Putra Pandu Adikara, Randy Cahya Wihandika, Fitri Utaminingrum, Yuita Arum Sari, M. Ali Fauzi, Dahnial Syauqy, Rizal Maulana
This research aim to propose a new approach to detect obstacles and to estimate the distance of the obstacle which is in this case applied to smart wheelchair equipped with camera and line laser. The camera capture the image of line laser reflected in front of the wheelchair to detect any existing obstacle on the wheelchair’s pathway based on the line shape of reflected line laser. Obstacle’s distance is estimated using Linier Regression. Linier Regression method used in this research is stepwise model using k-Means clustering. Linear Regression method with stepwise model will be used to represent the correlation between the distance of the line laser in the image and the actual distance of the obstacle in real world. The result of Linear Regression with stepwise model using k-Means clustering gave better result with RMSE of 3.541 cm than simple Linear Regression with RMSE of 5.367 cm. © 2017 Register: Jurnal Ilmiah Teknologi Sistem Informasi. Semua hak cipta dilindungi undang-undang.
Grup Riset Computer Vision, Universitas Brawijaya, Malang, Indonesia
