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Video Based Machine Learning For Traffic Intersections


Video Based Machine Learning For Traffic Intersections
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Video Based Machine Learning For Traffic Intersections


Video Based Machine Learning For Traffic Intersections
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Author : Tania Banerjee
language : en
Publisher: CRC Press
Release Date : 2023-10-17

Video Based Machine Learning For Traffic Intersections written by Tania Banerjee and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-17 with Computers categories.


Video Based Machine Learning for Traffic Intersections describes the development of computer vision and machine learning-based applications for Intelligent Transportation Systems (ITS) and the challenges encountered during their deployment. This book presents several novel approaches, including a two-stream convolutional network architecture for vehicle detection, tracking, and near-miss detection; an unsupervised approach to detect near-misses in fisheye intersection videos using a deep learning model combined with a camera calibration and spline-based mapping method; and algorithms that utilize video analysis and signal timing data to accurately detect and categorize events based on the phase and type of conflict in pedestrian-vehicle and vehicle-vehicle interactions. The book makes use of a real-time trajectory prediction approach, combined with aligned Google Maps information, to estimate vehicle travel time across multiple intersections. Novel visualization software, designed by the authors to serve traffic practitioners, is used to analyze the efficiency and safety of intersections. The software offers two modes: a streaming mode and a historical mode, both of which are useful to traffic engineers who need to quickly analyze trajectories to better understand traffic behavior at an intersection. Overall, this book presents a comprehensive overview of the application of computer vision and machine learning to solve transportation-related problems. Video Based Machine Learning for Traffic Intersections demonstrates how these techniques can be used to improve safety, efficiency, and traffic flow, as well as identify potential conflicts and issues before they occur. The range of novel approaches and techniques presented offers a glimpse of the exciting possibilities that lie ahead for ITS research and development. Key Features: Describes the development and challenges associated with Intelligent Transportation Systems (ITS) Provides novel visualization software designed to serve traffic practitioners in analyzing the efficiency and safety of an intersection Has the potential to proactively identify potential conflict situations and develop an early warning system for real-time vehicle-vehicle and pedestrian-vehicle conflicts



Video Based Machine Learning For Traffic Intersections


Video Based Machine Learning For Traffic Intersections
DOWNLOAD
Author : Tania Banerjee
language : en
Publisher: CRC Press
Release Date : 2023-10-17

Video Based Machine Learning For Traffic Intersections written by Tania Banerjee and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-17 with Computers categories.


Video Based Machine Learning for Traffic Intersections describes the development of computer vision and machine learning-based applications for Intelligent Transportation Systems (ITS) and the challenges encountered during their deployment. This book presents several novel approaches, including a two-stream convolutional network architecture for vehicle detection, tracking, and near-miss detection; an unsupervised approach to detect near-misses in fisheye intersection videos using a deep learning model combined with a camera calibration and spline-based mapping method; and algorithms that utilize video analysis and signal timing data to accurately detect and categorize events based on the phase and type of conflict in pedestrian-vehicle and vehicle-vehicle interactions. The book makes use of a real-time trajectory prediction approach, combined with aligned Google Maps information, to estimate vehicle travel time across multiple intersections. Novel visualization software, designed by the authors to serve traffic practitioners, is used to analyze the efficiency and safety of intersections. The software offers two modes: a streaming mode and a historical mode, both of which are useful to traffic engineers who need to quickly analyze trajectories to better understand traffic behavior at an intersection. Overall, this book presents a comprehensive overview of the application of computer vision and machine learning to solve transportation-related problems. Video Based Machine Learning for Traffic Intersections demonstrates how these techniques can be used to improve safety, efficiency, and traffic flow, as well as identify potential conflicts and issues before they occur. The range of novel approaches and techniques presented offers a glimpse of the exciting possibilities that lie ahead for ITS research and development. Key Features: Describes the development and challenges associated with Intelligent Transportation Systems (ITS) Provides novel visualization software designed to serve traffic practitioners in analyzing the efficiency and safety of an intersection Has the potential to proactively identify potential conflict situations and develop an early warning system for real-time vehicle-vehicle and pedestrian-vehicle conflicts



Video Based Machine Learning For Traffic Intersections


Video Based Machine Learning For Traffic Intersections
DOWNLOAD
Author : Tania Banerjee
language : en
Publisher:
Release Date : 2023

Video Based Machine Learning For Traffic Intersections written by Tania Banerjee and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with COMPUTERS categories.


Video Based Machine Learning for Traffic Intersections describes the development of computer vision and machine learning-based applications for Intelligent Transportation Systems (ITS) and the challenges encountered during their deployment. This book presents several novel approaches, including a two-stream convolutional network architecture for vehicle detection, tracking, and near-miss detection; an unsupervised approach to detect near-misses in fisheye intersection videos using a deep learning model combined with a camera calibration and spline-based mapping method; and algorithms that utilize video analysis and signal timing data to accurately detect and categorize events based on the phase and type of conflict in pedestrian-vehicle and vehicle-vehicle interactions. The book makes use of a real-time trajectory prediction approach, combined with aligned Google Maps information, to estimate vehicle travel time across multiple intersections. Novel visualization software, designed by the authors to serve traffic practitioners, is used to analyze the efficiency and safety of intersections. The software offers two modes: a streaming mode and a historical mode, both of which are useful to traffic engineers who need to quickly analyze trajectories to better understand traffic behavior at an intersection. Overall, this book presents a comprehensive overview of the application of computer vision and machine learning to solve transportation-related problems. Video Based Machine Learning for Traffic Intersections demonstrates how these techniques can be used to improve safety, efficiency, and traffic flow, as well as identify potential conflicts and issues before they occur. The range of novel approaches and techniques presented offers a glimpse of the exciting possibilities that lie ahead for ITS research and development. Key Features: Describes the development and challenges associated with Intelligent Transportation Systems (ITS) Provides novel visualization software designed to serve traffic practitioners in analyzing the efficiency and safety of an intersection Has the potential to proactively identify potential conflict situations and develop an early warning system for real-time vehicle-vehicle and pedestrian-vehicle conflicts



Evaluation Of Smart Video For Transit Event Detection


Evaluation Of Smart Video For Transit Event Detection
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Author :
language : en
Publisher:
Release Date : 2009

Evaluation Of Smart Video For Transit Event Detection written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Local transit categories.




Transportation And Information


Transportation And Information
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Author : Piyushimita (Vonu) Thakuriah
language : en
Publisher: Springer
Release Date : 2013-06-18

Transportation And Information written by Piyushimita (Vonu) Thakuriah and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-18 with Computers categories.


Transformations in wireless connectivity and location-aware technologies hold the promise of bringing a sea-change in the way transportation information is generated and used in the future. Sensors in the transportation system, when integrated with those in other sectors (for example, energy, utility and health) have the potential to foster novel new ways of improving livability and sustainability. The end-result of these developments has been somewhat contradictory. Although automation in the transportation environment has become increasingly widespread, the level of involvement and active participation by people, in terms of co-creation and contribution of information, has also increased. As a result, the following two major trends have been observed: (1) increases in Machine-to- Machine (M2M) communications; and (2) increases in the variety and volume of User-Generated Content. In this transportation paradigm, the pervasive use of Information and Communication Technologies will serve as the foundation for mobility intelligence towards an “ubiquitous information-centered mobility environment”. However, many technical and operational questions, as well as social, management and legal challenges present themselves in the transformation to this vision. The book presents a non-technical review of research and initiatives and a discussion of such opportunities and challenges.



Proceedings Of The Ieee Intelligent Vehicles Symposium


Proceedings Of The Ieee Intelligent Vehicles Symposium
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Author :
language : en
Publisher:
Release Date : 2003

Proceedings Of The Ieee Intelligent Vehicles Symposium written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Automobile driving categories.




Index To Ieee Publications


Index To Ieee Publications
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Author : Institute of Electrical and Electronics Engineers
language : en
Publisher:
Release Date : 1997

Index To Ieee Publications written by Institute of Electrical and Electronics Engineers and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Electrical engineering categories.




Managing Suburban Intersections Through Sensing


Managing Suburban Intersections Through Sensing
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Author : Harini Veeraraghavan
language : en
Publisher:
Release Date : 2002

Managing Suburban Intersections Through Sensing written by Harini Veeraraghavan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Computer vision categories.


Increased urban sprawl and increased vehicular traffic have resulted in an increased number of traffic fatalities, the majority of which occur near intersections. According to the National Highway Safety Administration, one out of eight fatalities occurring at intersections is a pedestrian. An intelligent, real-time system capable of predicting situations leading to accidents or near misses will be very useful to improve the safety of pedestrians as well as vehicles. This project investigates the prediction of such situations using current traffic conditions and computer vision techniques. An intelligent system may gather and analyze such data in a scene (e.g., vehicle and pedestrian positions, trajectories, velocities, etc.) and provide necessary warnings. The current work focuses on the monitoring aspect of the project. Certain solutions are proposed and issues with the current implementation are highlighted. The cost of the proposed system is low and certain operational characteristics are presented.



Proceedings


Proceedings
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Author : American Association for Artificial Intelligence
language : en
Publisher:
Release Date : 2006

Proceedings written by American Association for Artificial Intelligence and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Artificial intelligence categories.




I2010


I2010
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Author :
language : en
Publisher:
Release Date : 2006

I2010 written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Automobile industry and trade categories.


Recoge:1.Smarter, safer, cleaner cars - 2.Setting the scene: sustainable mobility for Europe - 3.Building Intelligent Cars - 4.Intelligent stand-alone systems for vehicle safety - 5.Co-operative systems for road traffic safety - 6.Location-based systems for road safety - 7.Bringing it all together: the intelligent car initiative - 8.Projects list.