Results 21 to 30 of about 195,073 (241)
Wasit Journal of Computer and Mathematics Science, 2023 The automatic system for classifying traffic signs is a critical task of Advanced Driver Assistance Systems (ADAS) and a fundamental technique utilized as an integral part of the various vehicles.
Guma Ali +2 more
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REAL TIME DETECTION AND CLASSIFICATION OF TRAFFIC SIGNS BASED ON YOLO VERSION 3 ALGORITHM [PDF]
Научно-технический вестник информационных технологий, механики и оптики, 2020 The issue of effective detection and classification of various traffic signs is studied. The two-stage method is proposed for creation of holistic model with end-to-end solution.
Valentyn N. Sichkar, Sergey A. Kolyubin
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Road traffic sign detection and classification [PDF]
, 1997 A vision-based vehicle guidance system for road vehicles can have three main roles: (1) road detection; (2) obstacle detection; and (3) sign recognition.
Armingol Moreno, José María +3 more
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Traffic Sign Classification Using Deep Learning Based Convolutional Neural Networks
مجلة جامعة الزيتونة, 2022 Traffic sign classification is a challenging computer vision task of high industrial relevance. Traffic signs contain important road traffic information and are considered the cornerstone of traffic systems as they ensure road safety for both pedestrians
Ahmed Abougarair +2 more
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Dense-RefineDet for Traffic Sign Detection and Classification
Sensors, 2020 Detecting and classifying real-life small traffic signs from large input images is difficult due to their occupying fewer pixels relative to larger targets. To address this challenge, we proposed a deep-learning-based model (Dense-RefineDet) that applies
Chang Sun +3 more
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Research on classification and detection of traffic signs based on tags combined with real scenes
Dianzi Jishu Yingyong, 2022 There are a lot of researches on traffic signs in the safe driving and automatic driving of vehicles. Due to the wide variety of traffic signs and the influence of various factors, the classification and detection of traffic signs is also a challenging ...
Zhang Cheng, Zhang Ruibin, Wang Shudao
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Traffic Sign Detection Based on Multi-Scale Feature Extraction and Feature Fusion [PDF]
Jisuanji gongcheng, 2022 The traffic sign detection algorithm based on Convolutional Neural Networks (CNN) cannot easily solve localization and classification tasks simultaneously when detecting traffic signs in actual complex traffic scene images.
ZHANG Yongliang, LU Yang, ZHU Wuqiang, WEI Xing, WEI Zhen
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Classification with NormalBoost: Case Study Traffic Sign Classification
Journal of Intelligent Systems, 2012 NormalBoost is a new boosting algorithm which is capable of classifying a multi-dimensional binary class dataset. It adaptively combines several weak classifiers to form a strong classifier. Unlike many boosting algorithms which have high computation and
Fleyeh Hasan, Davami Erfan
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Fast Traffic Sign Recognition with a Rotation Invariant Binary Pattern Based Feature
Sensors, 2015 Robust and fast traffic sign recognition is very important but difficult for safe driving assistance systems. This study addresses fast and robust traffic sign recognition to enhance driving safety. The proposed method includes three stages.
Shouyi Yin +4 more
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A Real-Time Chinese Traffic Sign Detection Algorithm Based on Modified YOLOv2
Algorithms, 2017 Traffic sign detection is an important task in traffic sign recognition systems. Chinese traffic signs have their unique features compared with traffic signs of other countries.
Jianming Zhang +3 more
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