Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer
Achmad Dewanto Aji Wibisono
Fakultas Ilmu Komputer, Universitas Brawijaya
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Deteksi Rambu Lalu Lintas menggunakan Algoritma Moore Neighbour Contour Following dan Simplifikasi Poligon dalam HSV Color Space Achmad Dewanto Aji Wibisono; Agus Wahyu Widodo; Muh. Arif Rahman
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 10 (2020): Oktober 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Traffic Signs Recognition System (SPRLL) is needed to map and repair road signs, driver assistance systems, and autonomous cars. As one of the important parts of SPRLL, the introduction of traffic signs has some difficulties in dealing with real traffic conditions due to changes in illumination, partial occlusion, too much noise and a small sign size compared to other objects. The program flow from the detection system usually uses known features, extracts from the region that is promoted by the program, and filters negative regions. Derived from the above requirements, we need a system that can be used to detect traffic signs that exist in an image. This traffic sign detection system is applied by the writer to the German Traffic Sign Detection Benchmark GTSDB dataset. Some images taken in poor conditions such as foggy can reduce the accuracy of the detection system. In evaluating the system, an evaluation method is used to determine the accuracy and accuracy of the system. A value of 0.75 is obtained for accuracy which states that the system is accurate enough to detect traffic signs on the dataset.
Co-Authors Agus Wahyu Widodo Muh. Arif Rahman