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All Journal Jurnal Simetris Jurnal Teknik Elektro Jurnal Teknologi Informasi dan Ilmu Komputer Journal of ICT Research and Applications POSITIF CESS (Journal of Computer Engineering, System and Science) Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Teknoinfo Jurnal Tekno Kompak Community Development Journal: Jurnal Pengabdian Masyarakat JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) JTIKOM: Jurnal Teknik dan Sistem Komputer ICTEE (Engineering Journals of Information, control, telecommunication and electrical) Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi JAPI: Jurnal Akses Pengabdian Indonesia INJECTION: Indonesian Journal of Vocational Mechanical Engineering Jurnal Informatika: Jurnal Pengembangan IT Journal of Social Sciences and Technology for Community Service
Prasetyawan, Purwono
Institut Teknologi Sumatera
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Implementation 2D Lidar and Camera for detection object and distance based on RoS Mulyanto, Agus; Borman, Rohmat Indra; Prasetyawan, Purwono; Sumarudin, A
JOIV : International Journal on Informatics Visualization Vol 4, No 4 (2020)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.4.4.466

Abstract

The advanced driver assistance systems (ADAS) are one of the issues to protecting people from vehicle collision. Collision warning system is a very important part of ADAS to protect people from the dangers of accidents caused by fatigue, drowsiness and other human errors. Multi-sensors has been widely used in ADAS for environment perception such as cameras, radar, and light detection and ranging (LiDAR). We propose the relative orientation and translation between the two sensors are things that must be considered in performing fusion. we discuss the real-time collision warning system using 2D LiDAR and Camera sensors for environment perception and estimate the distance (depth) and angle of obstacles. In this paper, we propose a fusion of two sensors that is camera and 2D LiDAR to get the distance and angle of an obstacle in front of the vehicle that implemented on Nvidia Jetson Nano using Robot Operating System (ROS). Hence, a calibration process between the camera and 2D LiDAR is required which will be presented in session III. After that, the integration and testing will be carried out using static and dynamic scenarios in the relevant environment. For fusion, we use the implementation of the conversion from degree to coordinate. Based on the experiment, we result obtained an average of 0.197 meters
Co-Authors A. Sumarudin Ade Surahman Adi Sucipto, Adi Afit Miranto Agus Mulyanto Agus Mulyanto Agustina Eka Kumala Ahmad Al Fahrezi Ali Muhtar Amarudin Amarudin Amelia Oktavia Apritrycia, Erdyvania Apriyadi Apriyadi Ardi Zulkarnais Arifanto, Bima Aulia, Muhammad Athallah Cahya Ayu Soleha Azis Saputra Bima Arifanto Buana, Setiadi Wira Dwi Ely Kurniawan Dwi Ely Kurniawan Eko Dwi Nugroho Fika Trisnawati Fil’aini, Raizummi Fini Febriani Gunawan, Rakhmat Dedi Hartadi, Nanda Rachmat Heni Pujiastuti Idza Ramaulkim Ilham Firman Ashari Ilham Firman Ashari Iqbal, Muhammad Lanang Almasyuri Miftahul Donny Sanjaya Muhamad Ridwan Muhammad Asrofi, Muhammad Muhammad Bakri Muhammad Iqbal Muhammad Qaessar Kartadilaga Muhammad Reza Kahar Aziz Muhtar, Ali Naufal, Yusuf Nia Saputri Utami Oscar, Mona Ratu Petrus Mursanto Prabowo, Rizky Putu Eka Sumara Dita Rahmad Genaldo Raizummi Fil’aini Ramadhan, Arif Kurnia Ramadhani, Uri Arta Riskiono, Sampurna Dadi Rohmat Indra Borman Roinaldhi Pandu Mustira Ryan Andre Nugroho S. Samsugi Sampurna Dadi Riskiono Sanjaya, Sukma Septiyanda, Yunita soleha, Ayu Sukma Sanjaya Syaiful Ahdan Tri Septyawan URI ARTA RAMADHANI Wijayanto, Danur Wisnu Jatmiko Yopan Ferdianto Yunesti, Putty Yunita Septiyanda