Intelligent Vehicles
Intelligent Vehicles

Author: David Fernández-Llorca

Publisher: MDPI

Published: 2020-11-24

Total Pages: 752

ISBN-13: 3039434020

DOWNLOAD EBOOK

This book presents the results of the successful Sensors Special Issue on Intelligent Vehicles that received submissions between March 2019 and May 2020. The Guest Editors of this Special Issue are Dr. David Fernández-Llorca, Dr. Ignacio Parra-Alonso, Dr. Iván García-Daza and Dr. Noelia Parra-Alonso, all from the Computer Engineering Department at the University of Alcalá (Madrid, Spain). A total of 32 manuscripts were finally accepted between 2019 and 2020, presented by top researchers from all over the world. The reader will find a well-representative set of current research and developments related to sensors and sensing for intelligent vehicles. The topics of the published manuscripts can be grouped into seven main categories: (1) assistance systems and automatic vehicle operation, (2) vehicle positioning and localization, (3) fault diagnosis and fail-x systems, (4) perception and scene understanding, (5) smart regenerative braking systems for electric vehicles, (6) driver behavior modeling and (7) intelligent sensing. We, the Guest Editors, hope that the readers will find this book to contain interesting papers for their research, papers that they will enjoy reading as much as we have enjoyed organizing this Special Issue

Proceedings of the Future Technologies Conference (FTC) 2023, Volume 3
Proceedings of the Future Technologies Conference (FTC) 2023, Volume 3

Author: Kohei Arai

Publisher: Springer Nature

Published: 2023-11-08

Total Pages: 648

ISBN-13: 3031474570

DOWNLOAD EBOOK

This book is a collection of thoroughly well-researched studies presented at the Eighth Future Technologies Conference. This annual conference aims to seek submissions from the wide arena of studies like Computing, Communication, Machine Vision, Artificial Intelligence, Ambient Intelligence, Security, and e-Learning. With an impressive 490 paper submissions, FTC emerged as a hybrid event of unparalleled success, where visionary minds explored groundbreaking solutions to the most pressing challenges across diverse fields. These groundbreaking findings open a window for vital conversation on information technologies in our community especially to foster future collaboration with one another. We hope that the readers find this book interesting and inspiring and render their enthusiastic support toward it.

Green, Smart and Connected Transportation Systems
Green, Smart and Connected Transportation Systems

Author: Wuhong Wang

Publisher: Springer Nature

Published: 2020-03-23

Total Pages: 1505

ISBN-13: 9811506442

DOWNLOAD EBOOK

These proceedings gather selected papers from the 9th International Conference on Green Intelligent Transportation Systems and Safety, held in Guilin, China on July 1-3, 2018. They feature cutting-edge studies on Green Intelligent Mobility Systems, the guiding motto being to achieve “green, intelligent, and safe transportation systems.” The contributions presented here can help promote the development of green mobility and intelligent transportation technologies to improve interconnectivity, resource sharing, flexibility and efficiency. Given its scope, the book will benefit researchers and engineers in the fields of Transportation Technology and Traffic Engineering, Automotive and Mechanical Engineering, Industrial and System Engineering, and Electrical Engineering alike.

Video Based Machine Learning for Traffic Intersections
Video Based Machine Learning for Traffic Intersections

Author: Tania Banerjee

Publisher: CRC Press

Published: 2023-10-17

Total Pages: 213

ISBN-13: 1000969770

DOWNLOAD EBOOK

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

Smart Cities, Green Technologies, and Intelligent Transport Systems
Smart Cities, Green Technologies, and Intelligent Transport Systems

Author: Cornel Klein

Publisher: Springer Nature

Published: 2021-10-16

Total Pages: 334

ISBN-13: 3030891704

DOWNLOAD EBOOK

This book includes extended and revised selected papers from the 9th International Conference on Smart Cities and Green ICT Systems, SMARTGREENS 2020, and the 6th International Conference on Vehicle Technology and Intelligent Transport Systems, VEHITS 2020, held in Prague, Czech Republic, in May 2020. The 30 full papers presented during SMARTGREENS and VEHITS 2020 were carefully reviewed and selected from the 117 submissions. The papers present research on advances and applications in the fiels of smart cities, electric vehicles, sustainable computing and communications, energy aware systems and technologies, intelligent vehicle technologies, intelligent transport systems and infrastructure, connected vehicles.