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All Journal Kalbiscientia Jurnal Sains dan Teknologi
Edwin Lesmana Tjiong
Institut Teknologi dan Bisnis Kalbis
Civil Engineering, Building, Construction & Architecture Computer Science & IT Industrial & Manufacturing Engineering Mechanical Engineering

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Perancangan Purwarupa Mobil Otonom Menggunakan Simulator Udacity dengan Metode Convolutional Neural Network Alexander Parikesit; Edwin Lesmana Tjiong
KALBISCIENTIA Jurnal Sains dan Teknologi Vol. 10 No. 02 (2023): Sains dan Teknologi
Publisher : Research and Community Service INSTITUT TEKNOLOGI DAN BISNIS KALBIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53008/kalbiscientia.v10i02.3109

Abstract

This research presents the process and development of an autonomous vehicle prototype using Udacity Simulator with the Convolutional Neural Network (CNN) method. This research uses NVIDIA CNN Architecture for its convolutional neural network architecture. The objective of this research is to design and generate a machine learning model to run the Udacity simulator in autonomous mode, which allowing car objects on the simulator to move autonomously. The proposed approach involves training a CNN model using a labeled dataset of tracks images captured through training mode. The output of the CNN model is then used to control the steering and acceleration commands of the vehicle. The performance of the machine learning model is evaluated using MSE, RMSE, and MAE parameters. In addition, it is also evaluated on its ability to navigate one of the tracks in the simulator.
Co-Authors Alexander Parikesit