A New Indonesian Traffic Obstacle Dataset and Performance Evaluation of YOLOv4 for ADAS
Intelligent transport systems (ITS) are a promising area of studies. One implementation of ITS are advanced driver assistance systems (ADAS), involving the problem of obstacle detection in traffic. This study evaluated the YOLOv4 model as a state-of-the-art CNN-based one-stage detector to recognize...
Main Authors: | Agus Mulyanto, Wisnu Jatmiko, Petrus Mursanto, Purwono Prasetyawan, Rohmat Indra Borman |
---|---|
Format: | Article |
Language: | English |
Published: |
ITB Journal Publisher
2021-03-01
|
Series: | Journal of ICT Research and Applications |
Online Access: | http://journals.itb.ac.id/index.php/jictra/article/view/12752 |
Similar Items
-
Implementation 2D Lidar and Camera for detection object and distance based on RoS
by: Agus Mulyanto, et al.
Published: (2020-12-01) -
Research on Improved YOLOv7 for Traffic Obstacle Detection
by: Yifan Yang, et al.
Published: (2024-12-01) -
Traditional food knowledge of Indonesia: a new high-quality food dataset and automatic recognition system
by: Ari Wibisono, et al.
Published: (2020-08-01) -
Clustering versus Incremental Learning Multi-Codebook Fuzzy Neural Network for Multi-Modal Data Classification
by: Muhammad Anwar Ma’sum, et al.
Published: (2020-01-01) -
DATASET AND IMPROVED YOLOV7 FOR TEXT-BASED TRAFFIC SIGN DETECTION
by: X. Chi, et al.
Published: (2023-12-01)