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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) IJoICT (International Journal on Information and Communication Technology) Syntax Literate: Jurnal Ilmiah Indonesia SEIKO : Journal of Management & Business Jurnal ULTIMATICS JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Building of Informatics, Technology and Science BERNAS: Jurnal Pengabdian Kepada Masyarakat Jurnal Teknik Informatika (JUTIF) KLIK: Kajian Ilmiah Informatika dan Komputer Indonesian Community Journal Jurnal Informatika Teknologi dan Sains (Jinteks) eProceedings of Engineering Community Service Seminar and Community Engagement (COSECANT) LOGIC: Jurnal Penelitian Informatika
Nungki Selviandro
Universitas Telkom
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Journal : Building of Informatics, Technology and Science

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The Simulation of Autonomous Vehicle Using ROS2 Based on Convolutional Neural Networks for Object Recognition Muhammad Miftahudin; Nungki Selviandro; Muhammad Johan Alibasa
Building of Informatics, Technology and Science (BITS) Vol 4 No 2 (2022): September 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i2.1965

Abstract

The main justification for implementing an Autonomous Vehicle (AV) system in the real world is the safety aspect of driving, because if there is an error in driving then the error will become a gap that can threaten the safety of the driver himself and other drivers, therefore an AV system is made to reduce driver errors. in driving. The aim of this research is to implement one of the parts of the AV system, that is object recognition, and in this study, we also conduct an experiment with simulating the object recognition feature that has been implemented in order to get more concrete results. Architectural object recognition is designed to extract key features from traffic sign images, the traffic sign detection uses the customized Convolutional Neural Networks (CNNs) architecture. After the architectural has been implemented, training will be carried out using Custom Traffic Sign Dataset and experiments will also be conducted to simulate object recognition by applying ROS2 as a car robotic system that represents a car's functionality system in the real world. the results of this study for the implementation of the modified CNNs architecture is 99.96% and the results of the simulations carried out show that the prototype can detect traffic signs objects with a distance of 10m
Co-Authors Ady Purna Kurniawan Afifah , Haniyah Risda Afinda, Angel Metanosa Agista Putri Ahmad Muflih Nawir Ahmad Ridwan Rezani Al Ghozali, Yazid Alghifari , Rizky Naufal Anisa Herdiani Aprianti Putri Sujana Arfive Gandhi Asyrafbilal Fadhila Bhinar Jaya Baginda Anggun Nan Cenka Dana Sulistiyo Kusumo Dana Sulistyo Kusumo Dimas Ikhsanu Fitra Donni Richasdy Elis Hernawati Eri Angga Pradana Fadhila Bhinar Jaya , Asyrafbilal Febriyani, Widia Firdaus , Muhammad Adam Firdaus, Fauzan Gede Agung Ary Wisudiawan Gia Septiana Wulandari Gia Wulandari Harry B. Santoso Husnul Khotami Kindi Ika Rahayu Ponilan Indra Lukmana Sardi Irvan Dwi Putra Manurung Joseph, Aaron Kemas Rahmat Saleh Wiharja Khaerunnisa Khaerunnisa Kusumo , Dana Sulistyo Kusumo, Dana Sulistyo Laksitowening, Kusuma Ayu M Haikal Abdussalam Mahesa, Indra Mira Kania Sabariah Mira Sabariah Monterico Adrian Muhammad Arifino Setyawan Muhammad Bambang Hidayanto Muhammad Faris Adri Azka Muhammad Johan Alibasa Muhammad Miftahudin Muthia Khairunissa Niam, Wildan Syukri Pursita Kania Praisar Putra, Aditya Khawandi Putri Larasati Putri, Agista Raihan Sulthon Yaafi Reynaldi Prama Octavially Riawan, Faza Alexander Rikman Aherliwan Rudawan Rohaendi, Ricky Rosa Reska Riskiana Ryan Adeputra Sutopo Saputro, Indah Novitasari Dwi Shaufiah . Shinta Yulia Puspitasari Situmeang, Reinhard Efraim Sulistyo Kusumo, Dana Suryatiningsih Tasyrika Nurul Hajar Teguh Surya Apri Handoyo Warih Maharani yusuf, muhammad maulana Zhafran Hafizh Izdihar Riyadi ZK Abdurahman Baizal