This book is the result of four-year work in the framework of the Ibero-American Research Network TICs4CI funded by the CYTED program. In the following decades, 85% of the world's population is expected to live in cities; hence, urban centers should be prepared to provide smart solutions for problems ranging from video surveillance and intelligent mobility to the solid waste recycling processes, just to mention a few. More specifically, the book describes underlying technologies and practical implementations of several successful case studies of ICTs developed in the following smart city…mehr
This book is the result of four-year work in the framework of the Ibero-American Research Network TICs4CI funded by the CYTED program. In the following decades, 85% of the world's population is expected to live in cities; hence, urban centers should be prepared to provide smart solutions for problems ranging from video surveillance and intelligent mobility to the solid waste recycling processes, just to mention a few. More specifically, the book describes underlying technologies and practical implementations of several successful case studies of ICTs developed in the following smart city areas:
- Computer vision-based approaches for efficiency in production processes
The book is intended for researchers and engineers in the field of ICTs for smart cities, as well as to anyone whowants to know about state-of-the-art approaches and challenges on this field.
Angel D. Sappa received his Electro Mechanical Engineering degree (1995) from National University of La Pampa, Argentina, and his PhD. degree in Industrial Engineering (1999) from Polytechnic University of Catalonia, Barcelona, Spain. In 2003, after research positions in France (LAAS-CNRS), the UK (UK Advanced Robotics), and Greece (ITI-CERTH), he joined the Computer Vision Center, Barcelona, Spain, where he currently holds a Senior Scientist position. Since 2016 he has been a full professor at the ESPOL Polytechnic University, Guayaquil, Ecuador, where he leads the computer vision team at CIDIS research center; he is the director of the Electrical Engineering PhD. program at FIEC-ESPOL. His research interests include crossspectral image processing and representation; 3D data acquisition, processing, and modeling; and computer vision applications. He published about 200 papers in international journals and conference proceedings and served as program committee member in several international conferences. He has been involved in several national, regional, and international research projects and several technological transfer projects; he has been the cofounder of VINTRA Inc. (San Francisco, USA) and Crowdmobile S.L. (Barcelona, Spain). He is a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE).
Inhaltsangabe
Art Graffiti Detection in Urban Images using Deep Learning.- Deep Neural Networks for Passengers' Density Estimation and Face Mask Detection for COVID-19 in Public Transportation Services.- Epistemic Uncertainty Quantification in Human Trajectory Prediction.
Art Graffiti Detection in Urban Images using Deep Learning.- Deep Neural Networks for Passengers' Density Estimation and Face Mask Detection for COVID-19 in Public Transportation Services.- Epistemic Uncertainty Quantification in Human Trajectory Prediction.
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