Springer Machine Vision and Navigation

Product Description This book presents a variety of perspectives on vision-based applications. These contributions are focused on optoelectronic sensors, 3D & 2D machine vision technologies, robot navigation, control schemes, motion controllers, intelligent algorithms and vision systems. The authors focus on applications of unmanned aerial vehicles, autonomous and mobile robots, industrial inspection applications and structural health monitoring. Recent advanced research in measurement and others areas where 3D & 2D machine vision and machine control play an important role, as well as surveys and reviews about vision-based applications. These topics are of interest to readers from diverse areas, including electrical, electronics and computer engineering, technologists, students and non-specialist readers.• Presents current research in image and signal sensors, methods, and 3D & 2D technologies in vision-based theories and applications; • Discusses applications such as daily use devices including robotics, detection, tracking and stereoscopic vision systems, pose estimation, avoidance of objects, control and data exchange for navigation, and aerial imagery processing; • Includes research contributions in scientific, industrial, and civil applications.   From the Back Cover This book presents a variety of perspectives on vision-based applications. These contributions are focused on optoelectronic sensors, 3D & 2D machine vision technologies, robot navigation, control schemes, motion controllers, intelligent algorithms and vision systems. The authors focus on applications of unmanned aerial vehicles, autonomous and mobile robots, industrial inspection applications and structural health monitoring. Recent advanced research in measurement and others areas where 3D & 2D machine vision and machine control play an important role, as well as surveys and reviews about vision-based applications. These topics are of interest to readers from diverse areas, including electrical, electronics and computer engineering, technologists, students and non-specialist readers.• Presents current research in image and signal sensors, methods, and 3D & 2D technologies in vision-based theories and applications; • Discusses applications such as daily use devices including robotics, detection, tracking and stereoscopic vision systems, pose estimation, avoidance of objects, control and data exchange for navigation, and aerial imagery processing; • Includes research contributions in scientific, industrial, and civil applications.   About the Author Oleg Sergiyenko received the Ph.D. degree in Kharkiv National Polytechnic University on specialty ‘‘Tools and methods of non-destructive control’’ in 1997. He has been the author of 1 book, editor of 4 books, and has written 13 book chapters, 111 papers indexed in SCOPUS (h-index 13), and holds 1 patent of Ukraine, and 1 patent of Mexico. Since 1994 untill the present time, he is represented by his research works in several International Congresses of IEEE, ICROS, SICE, IMEKO in USA, England, Japan, Italy, Austria, Ukraine, and Mexico. Dr. Sergiyenko in December 2004 was invited by Engineering Institute of Baja California Autonomous University for researcher position. He is currently the head of Applied Physics Department of Engineering Institute of Baja California Autonomous University, Mexico, director of several master’s and doctorate thesis. He was a member of Program Committees of various international and local conferences, participating as a reviewer and Session Chair of IEEE ISIE and IECON conferences in 2014 - 2019.  He is a member of Scientific Council on Electric specialties in Autonomous University of Baja California and Academy of Engineering. He is a member (Academician) of Academy of Applied Radioelectronics of Ukraine, Russia and Belorussia. He did receive the award of “Best session presentation” in IECON2014 in Dallas, USA and IECON2016 in Florenc