Traffic sign classification using CNN and detection using faster-RCNN and YOLOV4

N Youssouf - Heliyon, 2022 - cell.com
Autonomous driving cars are becoming popular everywhere and the need for a robust traffic
sign recognition system that ensures safety by recognizing traffic signs accurately and fast is …

A Robust Framework for Traffic Object Detection using Intelligent Techniques

TJ Nandhini, K Thinakaran - 2023 9th International Conference …, 2023 - ieeexplore.ieee.org
Object identirication is a method for pinpointing the exact position of particular items in still or
moving visual media. The fields of machine learning and deep learning have resulted in a …

Indonesian traffic sign recognition for advanced driver assistent (adas) using yolov4

A Mulyanto, RI Borman, P Prasetyawan… - … on Research of …, 2020 - ieeexplore.ieee.org
Traffic violations are one of the causes of the increasing number of road traffic fatalities every
year, apart from driver negligence or ignorance of traffic signs. ADAS does not totally …

Machine vision based traffic sign detection methods: Review, analyses and perspectives

C Liu, S Li, F Chang, Y Wang - Ieee Access, 2019 - ieeexplore.ieee.org
Traffic signs recognition (TSR) is an important part of some advanced driver-assistance
systems (ADASs) and auto driving systems (ADSs). As the first key step of TSR, traffic sign …

Performance analysis of yolo-based architectures for vehicle detection from traffic images in bangladesh

RM Alamgir, AA Shuvro, M Al Mushabbir… - … on Computer and …, 2022 - ieeexplore.ieee.org
The task of locating and classifying different types of vehicles has become a vital element in
numerous applications of automation and intelligent systems ranging from traffic …

YOLOv3-A: 基于注意力机制的交通标志检测网络

郭璠, 张泳祥, 唐琎, 李伟清 - 通信学报, 2021 - infocomm-journal.com
为了解决已有YOLOv3 算法对于存在小目标问题和背景复杂问题的交通标志检测任务会有较多
的误检和漏检的问题, 在YOLOv3 算法的基础上, 提出了目标检测的通道注意力方法和基于语义 …