Results 31 to 40 of about 196,128 (281)
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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Traffic Sign Classification and Detection of Indian Traffic Signs using Deep Learning
International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2021 This paper presents an effective solution to detecting traffic signs on road by first classifying the traffic sign images us-ing Convolutional Neural Network (CNN) on the German Traffic Sign Recognition Benchmark (GTSRB)[1] and then detecting the images of Indian Traffic Signs using the Indian Dataset which will be used as testing dataset while ...
Manjiri Bichkar +2 more
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Traffic Sign Classification using Deep Learning
International Journal for Research in Applied Science and Engineering Technology, 2021 Detecting and classifying traffic signs has been of uttermost importance ever since the emergence of Advanced driver assistance system and autonomous vehicles. Traffic signs are one of the decisive factor for traffic supervision. Because of complexities in driving nature it is difficult to detect the traffic signs and classify them because of partial
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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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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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Automatic Traffic Sign Detection and Classification
International Journal for Research in Applied Science and Engineering Technology, 2023 Abstract: Automatic detection and recognition of road traffic signs is an essential task for regulating the traffic, guiding, and warning the drivers and pedestrians. M a n y challenges like cluttered background, foreground scenery, various geographic, metrological, weather conditions namely cloudy day, rain, snow, fog, changeable and uncontrollable ...
P. Madhuri, G. Madhavi
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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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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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Research on the Optimal Machine Learning Classifier for Traffic Signs [PDF]
SHS Web of Conferences, 2022 Now autonomous driving is a hot topic, and the identification of traffic signs is also extremely important for autonomous driving. This paper mainly compares the difference of the Support Vector Machine (SVM), Multilayer Perceptron (MLP), and Logistic ...
Wang Boyu
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