Traffic Sign Recognition Systems
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Traffic Sign Recognition Systems
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Author : Sergio Escalera
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-09-22
Traffic Sign Recognition Systems written by Sergio Escalera and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-09-22 with Computers categories.
This work presents a full generic approach to the detection and recognition of traffic signs. The approach is based on the latest computer vision methods for object detection, and on powerful methods for multiclass classification. The challenge was to robustly detect a set of different sign classes in real time, and to classify each detected sign into a large, extensible set of classes. To address this challenge, several state-of-the-art methods were developed that can be used for different recognition problems. Following an introduction to the problems of traffic sign detection and categorization, the text focuses on the problem of detection, and presents recent developments in this field. The text then surveys a specific methodology for the problem of traffic sign categorization – Error-Correcting Output Codes – and presents several algorithms, performing experimental validation on a mobile mapping application. The work ends with a discussion on future research and continuing challenges.
Activities Of Transport Telematics
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Author : Jerzy Mikulski
language : en
Publisher: Springer
Release Date : 2013-10-01
Activities Of Transport Telematics written by Jerzy Mikulski and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-01 with Computers categories.
This book constitutes the proceedings of the 13th International Conference on Transport Systems Telematics, TST 2013, held in Katowice-Ustron, Poland, in October 2013. The 58 papers included in this volume were carefully reviewed and selected for inclusion in this book. They provide an overview of solutions being developed in the field of intelligent transportation systems, and include theoretical and case studies in the countries of conference participants.
Traffic Sign Recognition
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Author : Fouad Sabry
language : en
Publisher: One Billion Knowledgeable
Release Date : 2024-05-04
Traffic Sign Recognition written by Fouad Sabry and has been published by One Billion Knowledgeable this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-04 with Computers categories.
What is Traffic Sign Recognition Traffic-sign recognition (TSR) is a technology by which a vehicle is able to recognize the traffic signs put on the road e.g. "speed limit" or "children" or "turn ahead". This is part of the features collectively called ADAS. The technology is being developed by a variety of automotive suppliers. It uses image processing techniques to detect the traffic signs. The detection methods can be generally divided into color based, shape based and learning based methods. How you will benefit (I) Insights, and validations about the following topics: Chapter 1: Traffic-sign recognition Chapter 2: Traffic sign Chapter 3: Intelligent transportation system Chapter 4: Electronic stability control Chapter 5: Advanced driver-assistance system Chapter 6: Lane departure warning system Chapter 7: Adaptive cruise control Chapter 8: Intelligent speed assistance Chapter 9: Driver monitoring system Chapter 10: Collision avoidance system (II) Answering the public top questions about traffic sign recognition. (III) Real world examples for the usage of traffic sign recognition in many fields. Who this book is for Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Traffic Sign Recognition.
Mustererkennung 1999
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Author : Wolfgang Förstner
language : de
Publisher: Springer-Verlag
Release Date : 2013-03-07
Mustererkennung 1999 written by Wolfgang Förstner and has been published by Springer-Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-07 with Computers categories.
Die DAGM '99 steht unter dem Thema "Interpretation natürlicher Szenen: Von der medizinischen Bildverarbeitung bis zur Fernerkundung". Dieses Motto greift aktuelle Entwicklungen in der Mustererkennung auf, intelligente Datenanalyse für große Datensätze zu betreiben und damit der Wissensgesellschaft neuartige Analysewerkzeuge für natürliche Szenen, aber auch für Data Mining zur Verfügung zu stellen. Im Tagungsband finden sich sowohl neue Entwicklungen auf dem Gebiet der Grundlagenforschung als auch interessante Anwendungen aus allen Bereichen der Mustererkennung wieder, wobei neben der Sprachverarbeitung vor allem Beiträge zu statistischen Verfahren, zur Analyse von Bildfolgen und zur Rekonstruktion der 3D-Geometrie aus Bildern dominieren.
2017 International Conference On Algorithms Methodology Models And Applications In Emerging Technologies Icammaet
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Author :
language : en
Publisher:
Release Date : 2017
2017 International Conference On Algorithms Methodology Models And Applications In Emerging Technologies Icammaet written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Computer algorithms categories.
Inventive Communication And Computational Technologies
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Author : G. Ranganathan
language : en
Publisher: Springer Nature
Release Date : 2020-09-24
Inventive Communication And Computational Technologies written by G. Ranganathan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-24 with Technology & Engineering categories.
This book gathers selected papers presented at the 4th International Conference on Inventive Communication and Computational Technologies (ICICCT 2020), held on 28–29 May 2020 at Gnanamani College of Technology, Tamil Nadu, India. The respective contributions highlight recent research efforts and advances in a new paradigm called ISMAC (IoT in Social, Mobile, Analytics and Cloud contexts). The topics covered include the Internet of Things, Social Networks, Mobile Communications, Big Data Analytics, Bio-inspired Computing and Cloud Computing. Given its scope, the book is chiefly intended for academics and practitioners working to resolve practical issues in this area.
An Automatic Road Sign Recognition System Based On A Computational Model Of Human Recognition Processing
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Author : Chiung-Yao Fang
language : en
Publisher:
Release Date : 2004
An Automatic Road Sign Recognition System Based On A Computational Model Of Human Recognition Processing written by Chiung-Yao Fang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with categories.
This paper presents an automatic road sign detection and recognition system that is based on a computational model of human visual recognition processing. Road signs are typically placed either by the roadside or above roads. They provide important information for guiding, warning, or regulating the behaviors drivers in order to make driving safer and easier. The proposed recognition system is motivated by human recognition processing. The system consists of three major components: sensory, perceptual, and conceptual analyzers. The sensory analyzer extracts the spatial and temporal information of interest from video sequences. The extracted information then serves as the input stimuli to a spatiotemporal attentional (STA) neural network in the perceptual analyzer. If stimulation continues, focuses of attention will be established in the neural network. Potential features of road signs are then extracted from the image areas corresponding to the focuses of attention. The extracted features are next fed into the conceptual analyzer. The conceptual analyzer is composed of two modules: a category module and an object module. The former uses a configurable adaptive resonance theory (CART) neural network to determine the category of the input stimuli, whereas the later uses a configurable heteroassociative memory (CHAM) neural network to recognize an object in the determined category of objects. The proposed computational model has been used to develop a system for automatically detecting and recognizing road signs from sequences of traffic images. The experimental results revealed both the feasibility of the proposed computational model and the robustness of the developed road sign detection system.
Advances In Signal Processing And Intelligent Recognition Systems
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Author : Sabu M. Thampi
language : en
Publisher: Springer Nature
Release Date : 2020-04-30
Advances In Signal Processing And Intelligent Recognition Systems written by Sabu M. Thampi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-30 with Computers categories.
This book constitutes the refereed proceedings of the 5th International Symposium on Advances in Signal Processing and Intelligent Recognition Systems, SIRS 2019, held in Trivandrum, India, in December 2019. The 19 revised full papers and 8 revised short papers presented were carefully reviewed and selected from 63 submissions. The papers cover wide research fields including information retrieval, human-computer interaction (HCI), information extraction, speech recognition.
Intelligent Classifiers Enhancing Traffic Sign Detection
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Author : Ronal Suresh
language : en
Publisher:
Release Date : 2023-10-15
Intelligent Classifiers Enhancing Traffic Sign Detection written by Ronal Suresh and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-15 with categories.
Intelligent classifiers are revolutionizing the field of traffic sign detection, enhancing safety and efficiency on roadways around the world. Traffic signs play a crucial role in guiding drivers, providing important information, and preventing accidents. However, traditional methods of traffic sign detection have often been prone to errors and limitations. This is where intelligent classifiers come into play. Using advanced machine learning techniques, intelligent classifiers have the ability to analyze and interpret vast amounts of data from images and video feeds, enabling them to accurately detect and classify traffic signs in real-time. These classifiers leverage deep neural networks and sophisticated algorithms to recognize patterns, shapes, and colors associated with different types of traffic signs. By harnessing the power of artificial intelligence, intelligent classifiers can overcome challenges such as variations in lighting conditions, occlusions, and complex backgrounds. They can distinguish between different types of signs, including speed limits, stop signs, yield signs, and many others, with high precision and reliability. The benefits of intelligent classifiers in traffic sign detection are manifold. They enhance road safety by ensuring timely and accurate recognition of signs, enabling drivers to respond appropriately. This technology also aids autonomous vehicles in understanding and adhering to traffic regulations. Moreover, intelligent classifiers can assist traffic management systems in monitoring and optimizing traffic flow, reducing congestion, and improving overall transportation efficiency. As research and development in this field continue to progress, intelligent classifiers are poised to become an integral part of smart cities and intelligent transportation systems, providing a robust foundation for safer and more efficient road networks.
Intelligent Systems And Pattern Recognition
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Author : Akram Bennour
language : en
Publisher: Springer Nature
Release Date : 2022-06-16
Intelligent Systems And Pattern Recognition written by Akram Bennour and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-16 with Computers categories.
This volume constitutes selected papers presented during the Second International Conference on Intelligent Systems and Pattern Recognition, ISPR 2022, held in Hammamet, Tunisia, in March 2022. Due to the COVID-19 pandemic the conference was held online. The 22 full papers and 10 short papers presented were thoroughly reviewed and selected from the 91 submissions. The papers are organized in the following topical sections: computer vision; data mining; pattern recognition; machine and deep learning.