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All Journal International Journal of Electrical and Computer Engineering Bulletin of Electrical Engineering and Informatics ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika JITTER (Jurnal Ilmiah Teknologi Informasi Terapan) MIND (Multimedia Artificial Intelligent Networking Database) Journal REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat Society: Jurnal Pengabdian Masyarakat Nautical: Jurnal Ilmiah Multidisiplin Indonesia
KRISTIANA, LISA
Institut Teknologi Nasional Bandung
Religion Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Social Sciences

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Autonomous Navigation onto Autodocking Drone System using Computer Vision KRISTIANA, LISA; MAULANA, KEINDRA BAGAS; FASYA, SHAFIRA KURNIA; DAFY, MUHAMMAD ZUFAR; JANUAR, MUKTIADI AKHMAD
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 13, No 1: Published January 2025
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v13i1.70

Abstract

Autodocking is a sophisticated technology that allows drones to land automatically at a predetermined docking station. Computer vision plays an important role in the drone autodocking system, allowing the drone to "see" the intended object. The problem with drone control is the precision of determining and placing objects, in this case docking, where there is still a difference or error between the desired docking set point. The solution proposed in this article is to use the PID Controller (Proportional-Integral-Derivative Controller) algorithm. By using a PID controller, the drone can regulate its movements more precisely, maintain stability, and ensure proper landing. The results achieved using this approach, reached a 90% success rate (precision) with control of several environmental parameters. first page. The abstract contains a summary of backgrounds, methods, and research results, with the maximum number of characters being 150.
Co-Authors ADITYA, HAFIDZ DAYU Adli, Muhammad Arkan AFRIZAL MAULANA MUHAMMAD Anindia, Hana Nathania ARCHANDHIKA, HEGAR REFALDY Arsyad Ramadhan Darlis ARSYAD RAMADHAN DARLIS Barmawi, Mira Musrini Dafy, Muhammad Zufar DANI RUSIRAWAN DEWI, IRMA AMELIA Dixy Abdul Rochman S DWIPUTRA, REZA FADILAH FASYA, SHAFIRA KURNIA Irma Amelia Dewi JANUAR, MUKTIADI AKHMAD LITA LIDYAWATI LUCIA JAMBOLA MANURUNG, AURALIUS Marisa Premitasari, Marisa MAULANA, KEINDRA BAGAS Miftahuddin, Yusup MIYANTO, DIAN MUHAMMAD RAFLY Narisha Kalya Mahsa Nurrahmayanti, Fadhilah RACHMA APRILIYANI RATNA SUSANA Rauf, Muhammad Rea Ramada Jayandanu Setiyawati, Setiyawati Sugiharto, Ariq Bagus