KALBISIANA Jurnal Sains, Bisnis dan Teknologi
Vol. 9 No. 2 (2023): Kalbisiana

Pengembangan Aplikasi Deteksi Potensi Pindah Lajur Kendaraan Menggunakan YOLO V4

Franz Mikael (Institut Teknologi dan Bisnis Kalbis)

Article Info

Publish Date
23 Jun 2023

Abstract

Driver factors need attention because they tend to cause traffic accidents. Driver factors plus the lack of safety features such as LDWS and ADAS inside vehicles in Indonesia are the reasons for this research. This study proposes a driver assistance application that can detect lane departure movement of a vehicle. If done with a camera, the application might help minimize driving negligence. YOLO v4 is selected to meet application needs such as high detection accuracy and fast computation time. The YOLO v4 model was trained using a dataset containing 400 images and obtained mAP value of 42,98% with FPS value range of 18,7 FPS to 40,5 FPS. Based on test results, the application can detect driving lanes well and give warnings as the departure movement reaches 20% or more.

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Journal Info
KALBISIANA Jurnal Sains, Bisnis dan Teknologi
Website

Abbrev

kalbisiana

Publisher

UNIVERSITAS KALBIS

Subject

Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Industrial & Manufacturing Engineering Social Sciences

Description

KALBISIANA Jurnal Sains, Bisnis dan Teknologi adalah jurnal akses terbuka akademik yang bertujuan untuk mempromosikan integrasi sains, bisnis dan teknologi. Fokusnya adalah menerbitkan makalah tentang sains, bisnis dan teknologi. Makalah yang dikirimkan akan ditinjau oleh komite teknis jurnal. Semua ...