Virtual and Augmented Reality for Automobile Industry: Innovation Vision and Applications

ISBN-13: 9783030941017 / Angielski / Twarda / 2022 / 190 str.

Opis

This book presents the augmented reality (AR) and virtual reality (VR) automotive applications. It unites automobile with a leading technology i.e. augmented and virtual reality and uses the advantages of the latter to solve the problems faced by the former. The book highlights the reasons for the growing abundance and complexity in this sector. Virtual and augmented reality presents a powerful engineering tool that finds application in various engineering fields. It brings new possibilities that result is increasing of productivity and reliability of production, quality of products and processes. The book further illustrates the possible challenges in its applications and suggests ways to overcome them. The book includes nine chapters focusing on automobile collision avoidance, self-driving cars, autonomous vehicles, navigation systems, and many more applications. 

Spis treści

Automotive Collision Avoidance System: A Review.- Autonomous vehicle assisted by heads up display (HUD) with augmented reality based on Machine learning techniques.- Optimal Stacked Sparse Autoencoder based Traffic Flow Prediction in Intelligent Transportation Systems.- Hand Gesture Recognition for Real-Time Game Play using Background Elimination and Deep Convolution Neural Network.

O autorze

Prof. Aboul Ella Hassanein is the Founder and Head of the Egyptian Scientific Research Group (SRGE) and a Professor of Information Technology at the Faculty of Computer and Artificial Intelligence, Cairo University. Professor Hassanien is an ex-dean of the faculty of computers and information, Beni Suef University. Professor Hassanien has more than 800 scientific research papers published in prestigious international journals and over 40 books covering such diverse topics as data mining, medical images, intelligent systems, social networks, and smart environment. Prof. Hassanien won several awards, including the Best Researcher of the Youth Award of Astronomy and Geophysics of the National Research Institute, Academy of Scientific Research (Egypt, 1990). He was also granted a scientific excellence award in humanities from the University of Kuwait for the 2004 Award and received the scientific - University Award (Cairo University, 2013). Also, He was honored in Egypt as the best researcher at Cairo University in 2013.  He was also received the Islamic Educational, Scientific and Cultural Organization (ISESCO) prize on Technology (2014) and received the State Award for excellence in engineering sciences 2015. He was awarded the medal of Sciences and Arts of the first class by the President of the Arab Republic of Egypt, 2017.

 

Deepak Gupta [M’19, SM’20] received a B.Tech. degree in 2006 from the Guru Gobind Singh Indraprastha University, Delhi, India. He received M.E. degree in 2010 from Delhi Technological University, India and Ph. D. degree in 2017 from Dr. APJ Abdul Kalam Technical University (AKTU), Lucknow, India. He has completed his Post-Doc from National Institute of Telecommunications (Inatel), Brazil in 2018. He has co-authored more than 166 journal articles including 128 SCI papers and 51 conference articles. He has authored/edited 59 books, published by IEEE-Wiley, Elsevier, Springer, Wiley, CRC Press, DeGruyter and Katsons. He has filed four Indian patents. He is convener of ICICC, ICDAM & DoSCI Springer conferences series. Currently he is Associate Editor of Expert Systems (Wiley), and Intelligent Decision Technologies (IOS Press). He is the recipient of 2021 IEEE System Council Best Paper Award. He have been featured in the list of top 2% scientist/researcher database in the world [Table-S7-singleyr-2019]. He is also working towards promoting Startups and also serving as a Startup Consultant. He is also a series editor of “Elsevier Biomedical Engineering” at Academic Press, Elsevier, “Intelligent Biomedical Data Analysis” at De Gruyter, Germany, “Explainable AI (XAI) for Engineering Applications” at CRC Press. He is appointed as Consulting Editor at Elsevier.

 

Ashish Khanna has 16 years of expertise in Teaching, Entrepreneurship, and Research & Development He received his Ph.D. degree from National Institute of Technology, Kurukshetra. He has completed his M. Tech. and B. Tech. GGSIPU, Delhi. He has completed his postdoc from Internet of Things Lab at Inatel, Brazil and University of Valladolid, Spain. He has published around 50 SCI indexed papers in IEEE Transaction, Springer, Elsevier, Wiley and many more reputed Journals with cumulative impact factor of above 100. He has around 100 research articles in top SCI/ Scopus journals, conferences and book chapters. He is co-author of around 20 edited and text books. His research interest includes Distributed Systems, MANET, FANET, VANET, IoT, Machine learning and many more. He is originator of Bhavya Publications and Universal Innovator Lab. Universal Innovator is actively involved in research, innovation, conferences, startup funding events and workshops. He has served the research field as a Keynote Speaker/ Faculty Resource Person/ Session Chair/ Reviewer/ TPC member/ post-doctorate supervision. He is convener and Organizer of ICICC conference series. He is currently working at the Department of Computer Science and Engineering, Maharaja Agrasen Institute of Technology, under GGSIPU, Delhi, India. He is also serving as series editor in Elsevier and De Gruyter publishing houses.

 

Dr. Adam Slowik (IEEE Member 2007; IEEE Senior Member 2012) received the B.Sc. and M.Sc. degrees in computer engineering and electronics in 2001 and the Ph.D. degree with distinction in 2007 from the Department of Electronics and Computer Science, Koszalin University of Technology, Koszalin, Poland. He received the Dr. habil. degree in computer science (intelligent systems) in 2013 from the Department of Mechanical Engineering and Computer Science, Czestochowa University of Technology, Czestochowa, Poland. Since October 2013, he has been an Associate Professor in the Department of Electronics and Computer Science, Koszalin University of Technology. His research interests include soft computing, computational intelligence, and, particularly, bio-inspired optimization algorithms and their engineering applications. He is a reviewer for many international scientific journals. He is an author or coauthor of over 80 refereed articles in international journals, two books, and conference proceedings, including one invited talk. Dr. Slowik is an Associate Editor of the IEEE Transactions on Industrial Informatics. He is a member of the program committees of several important international conferences in the area of artificial intelligence and evolutionary computation. He was a recipient of one Best Paper Award (IEEE Conference on Human System Interaction - HSI 2008). He was a Guest Editor in Special Issues organized by such journals as IEEE Transactions on Industrial Electronics, IEEE Transactions on Industrial Informatics, and IEEE Transactions on Fuzzy Systems.