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Intelligent Classifiers Enhancing Traffic Sign Detection


Intelligent Classifiers Enhancing Traffic Sign Detection
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Intelligent Classifiers Enhancing Traffic Sign Detection


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.



Traffic Sign Recognition Systems


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.



Intelligent Systems And Applications


Intelligent Systems And Applications
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Author : Anand J. Kulkarni
language : en
Publisher: Springer Nature
Release Date : 2022-12-27

Intelligent Systems And Applications written by Anand J. Kulkarni and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-27 with Technology & Engineering categories.


This book comprises the proceedings of the International Conference on Intelligent Systems and Applications (ICISA 2022). The contents of this volume focus on novel and modified artificial intelligence and machine learning-based methods and their applications in robotics, pharmaceutics, banking & finance, agriculture, food processing, crime prevention, smart homes, transportation, traffic control, and wildlife conservation, etc. This volume will prove a valuable resource for those in academia and industry.



Decision Intelligence Solutions


Decision Intelligence Solutions
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Author : Nitasha Hasteer
language : en
Publisher: Springer Nature
Release Date : 2024-01-15

Decision Intelligence Solutions written by Nitasha Hasteer and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-15 with Technology & Engineering categories.


This book comprises the select peer-reviewed proceedings of the 3rd International Conference on Information Technology (InCITe-2023). It aims to provide a comprehensive and broad-spectrum picture of state-of-the-art research and development in decision intelligence, deep learning, machine learning, artificial intelligence, data science, and enabling technologies for IoT, blockchain, and other futuristic computational technologies. It covers various topics that span cutting-edge, collaborative technologies and areas of computation. The content would serve as a rich knowledge repository on information & communication technologies, neural networks, fuzzy systems, natural language processing, data mining & warehousing, big data analytics, cloud computing, security, social networks and intelligence, decision-making and modeling, information systems, and IT architectures. This book provides a valuable resource for those in academia and industry.



Geometry And Vision


Geometry And Vision
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Author : Minh Nguyen
language : en
Publisher: Springer Nature
Release Date : 2021-03-17

Geometry And Vision written by Minh Nguyen and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-17 with Computers categories.


This book constitutes selected papers from the First International Symposium on Geometry and Vision, ISGV 2021, held in Auckland, New Zealand, in January 2021. Due to the COVID-19 pandemic the conference was held in partially virtual format. The 29 papers were thoroughly reviewed and selected from 50 submissions. They cover topics in areas of digital geometry, graphics, image and video technologies, computer vision, and multimedia technologies.



Intelligence Of Things Technologies And Applications


Intelligence Of Things Technologies And Applications
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Author : Nhu-Ngoc Dao
language : en
Publisher: Springer Nature
Release Date : 2023-11-20

Intelligence Of Things Technologies And Applications written by Nhu-Ngoc Dao and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-20 with Technology & Engineering categories.


This book aims to provide state-of-the-art knowledge in the field of Intelligence of Things to both academic and industrial readers. In particular, undergraduate, graduate, and researchers may find valuable information to drive their future research. This book is considered a reference for numerous courses such as Artificial Intelligence, Internet of Things, Intelligent Systems, and Mobile Networks. In the industrial area, this book provides information on recent studies in applying AI to IoT developments, which help to align and shorten R&D processes to introduce new classes of intelligent IoT products. This book provides a technical reference for interdisciplinary studies which utilize machine learning and IoT as tools in their fields such as constructional management, smart agriculture, Earth sciences and geo-spatial analysis, intelligent business, and digital transformation in education.



Fuzzy Logic Traffic Signal Controller Enhancement Based On Aggressive Driver Behavior Classification


Fuzzy Logic Traffic Signal Controller Enhancement Based On Aggressive Driver Behavior Classification
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Author : Shaimaa Mohammed Hegazy
language : en
Publisher:
Release Date : 2017

Fuzzy Logic Traffic Signal Controller Enhancement Based On Aggressive Driver Behavior Classification written by Shaimaa Mohammed Hegazy and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Fuzzy logic categories.


Abstract: The rise in population worldwide and especially in Egypt, together with the increase in the number of vehicles present serious complications regarding traffic congestion and road safety. The elementary solution towards improving congestion is to expand road capacities by building new lanes. This, however, requires time and effort and therefore new methodologies are being implemented. Intelligent transportation systems (ITS) try to approach traffic congestion through the application of computational and engineering techniques. Traffic signal control is a branch of intelligent transportation systems which focuses on improving traffic signal conditions. A traffic signal controllers’ main objective is to improve this assignment in a way which reduces delays. This research proposes a new approach to enhancing traffic signal control and reducing delays of a single intersection, through the integration of an aggressive driving behavior classifier. Previous approaches dealt with traffic control and driver behavior separately, and therefore their successful integration is a new challenging area in the field. Multiple experiment sets were conducted to provide an indication to the effectiveness of our approach. Firstly, an aggressive driver behavior classifier using feed-forward neural network was successfully built utilizing Virginia Tech 100-car naturalistic driving study data. Its performance was compared against long short-term memory recurrent neural networks and support vector machines, and it resulted in better performance as shown by the area under the curve. To the best of our knowledge, this classifier is the first of its kind to be built on this 100-car study data. Secondly, a representation of aggressive driving behavior was constructed in the simulated environment, based on real life data and statistics. Finally, Mamdani’s fuzzy logic controller was modified to accommodate for the integration of the aggressive behavior classifier. The integration results were encouraging and yielded significant improvements at higher traffic flow volumes when compared against the built Mamdani’s controller. The results are promising and provide an initial step towards the integration of driver behavior classification and traffic signal control.



Advanced Computational Intelligence For Object Detection Feature Extraction And Recognition In Smart Sensor Environments


Advanced Computational Intelligence For Object Detection Feature Extraction And Recognition In Smart Sensor Environments
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Author : Marcin Woźniak
language : en
Publisher: MDPI
Release Date : 2021-09-01

Advanced Computational Intelligence For Object Detection Feature Extraction And Recognition In Smart Sensor Environments written by Marcin Woźniak and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-01 with Technology & Engineering categories.


Recent years have seen a vast development in various methodologies for object detection and feature extraction and recognition, both in theory and in practice. When processing images, videos, or other types of multimedia, one needs efficient solutions to perform fast and reliable processing. Computational intelligence is used for medical screening where the detection of disease symptoms is carried out, in prevention monitoring to detect suspicious behavior, in agriculture systems to help with growing plants and animal breeding, in transportation systems for the control of incoming and outgoing transportation, for unmanned vehicles to detect obstacles and avoid collisions, in optics and materials for the detection of surface damage, etc. In many cases, we use developed techniques which help us to recognize some special features. In the context of this innovative research on computational intelligence, the Special Issue “Advanced Computational Intelligence for Object Detection, Feature Extraction and Recognition in Smart Sensor Environments” present an excellent opportunity for the dissemination of recent results and achievements for further innovations and development. It is my pleasure to present this collection of excellent contributions to the research community. - Prof. Marcin Woźniak, Silesian University of Technology, Poland –



Computational And Ambient Intelligence


Computational And Ambient Intelligence
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Author : Francisco Sandoval
language : en
Publisher: Springer
Release Date : 2007-09-21

Computational And Ambient Intelligence written by Francisco Sandoval and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-09-21 with Computers categories.


This book constitutes the refereed proceedings of the 9th International Work-Conference on Artificial Neural Networks, IWANN 2007, held in San Sebastián, Spain in June 2007. Coverage includes theoretical concepts and neurocomputational formulations, evolutionary and genetic algorithms, data analysis, signal processing, robotics and planning motor control, as well as neural networks and other machine learning methods in cancer research.



Advanced Network Technologies And Intelligent Computing


Advanced Network Technologies And Intelligent Computing
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Author : Anshul Verma
language : en
Publisher: Springer Nature
Release Date :

Advanced Network Technologies And Intelligent Computing written by Anshul Verma and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.