Machine Vision and Navigation

ISBN-13: 9783030225865 / Angielski / Twarda / 2019 / 851 str.

Oleg Sergiyenko; Wendy Flores-Fuentes; Paolo Mercorelli

Spis treści

Part I. Image and Signal Sensors.- Chapter 1. Image and Signal Sensors for Computing and Machine Vision: developments to meet future needs.- Chapter 2. Bio-Inspired, Real-Time Passive Vision for Mobile Robots.- Chapter 3. Color and Depth Sensing Sensor Technologies for Robotics and Machine Vision.- Chapter 4. Design and simulation of array cells of mixed sensor-processors for intensity transformation and analog-digital coding in machine vision.- Part II. Detection, Tracking and Stereoscopic Vision Systems.- Chapter 5. Image-based Target Detection and Tracking using Image-assisted Robotic Total Stations.- Chapter 6. The Methods of Radar Detection of Landmarks by Mobile Autonomous Robots.- Chapter 7. The Methods of Radar Detection of Landmarks by Mobile Autonomous Robots.- Chapter 8. Stereoscopic Vision Systems in Machine Vision, Models and Applications.- Chapter 9. UKF-Based Image Filtering and 3D Reconstruction.- Part III. Pose Estimation, Avoidance of Objects, Control and Data Exchange for Navigation.- Chapter 10. Lie Algebra Method for Pose Optimization Computation.- Chapter 11. Optimal Generation of Closed Trajectories Over Large, Arbitrary Surfaces Based on Non-Calibrated Vision.- Chapter 12. Optimal Generation of Closed Trajectories Over Large, Arbitrary Surfaces Based on Non-Calibrated Vision.- Chapter 13. Data Exchange and Task of Navigation for Robotic Group.- Chapter 14. Data Exchange and Task of Navigation for Robotic Group.- Chapter 15. Autonomous Mobile Vehicles Systems Overview for Wheeled Ground Applications.-Aerial Imagery Processing.- Chapter 16. Methods for Ensuring the Accuracy of Radiometric and Optoelectronic Navigation Systems of Flying Robots in a Developed Infrastructure.- Chapter 17. Stabilization of Airborne Video Using Sensor Exterior Orientation with Analytical Homography Modeling.- Chapter 18. Visual Servo Controllers for an UAV Tracking Vegetal Paths.- Part V. Machine Vision for Scientific, Industrial and Civil Applications.- Chapter 19. Machine Vision for Scientific, Industrial and Civil Applications.- Chapter 20. Stairways Detection Based on Single Camera by Motion Stereo for the Blind and Visually Impaired.- Chapter 21. Advanced phase triangulation methods for 3D shape measurements in scientific and industrial applications.- Chapter 22.Detection and tracking of melt pool in blown powder deposition through image processing of infrared camera data.- Chapter 23.Image Processing Filters for Machine Fault Detection and Isolation.- Chapter 24. Control and Automation for Miniaturized Microwave GSG Nanoprobing.- Chapter 25. Control and Automation for Miniaturized Microwave GSG Nanoprobing.- Chapter 26.Computer Vision-based Monitoring of Ship Navigation for Bridge Collision Risk Assessment.

O autorze

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 Florence, Italy. He did receive as coauthor the award of “Outstanding Paper in the 2017 Emerald Literati Network Awards for Excellence”.  

Wendy Flores-Fuentes received her Ph.D. degree in science, applied physics, with emphasis on Optoelectronic Scanning Systems for SHM, from Universidad Autónoma de Baja California in June 2014. She is the author of 22 journal articles in Elsevier, IEEE, MDPI,  Emerald and Springer, 8 book chapters and 4 books in Intech, IGI global, and Lambert Academic , 30 proceedings articles in IEEE ISIE 2014-2018, IECON 2014, IECON 2018, the World Congress on Engineering and Computer Science (IAENG 2013), IEEE Section Mexico IEEE ROCC2011, and the VII International Conference on Industrial Engineering ARGOS 2014. Recently, she has organized and participated as Chair of Special Session on ‘‘Machine Vision, Control and Navigation’’ at IEEE ISIE 2015, 2016, 2017 and IECON 2018. She holds 1 patent of Mexico, and 1 patent of Ukraine. She has been a reviewer of several articles in Taylor and Francis, IEEE, Elsevier, and MDPI. Currently, she is a full-time professor at Universidad Autónoma de Baja California, at the Faculty of Engineering, and she is the coordinator of the physics area in the basic science department. She has been incorporated into CONACYT National Research System in 2015. She did receive the award of “Best session presentation” in WSECS2013 in San-Francisco, USA. She did receive as coauthor the award of “Outstanding Paper in the 2017 Emerald Literati Network Awards for Excellence”.

Paolo Mercorelli received the Ph.D. degree in Systems Engineering from Alma Mater Studiorum University of Bologna, Bologna, Italy, in 1998. In 1997, he was a Visiting Researcher for one year in the Department of Mechanical and Environmental Engineering, University of California, Santa Barbara, USA. He was awarded by the Marie Curie Actions research fellowship program sponsored by The European Commission in year 1998 which he spent in ABB Corporate research Heidelberg. The Marie Curie Actions research fellowship program is a set of mobility research grant schemes funding pre- and post-doctoral  researchers in Europe as well as experienced researchers from all over the world. The Marie-Curie Fellowships are Europe’s most competitive and prestigious awards, and are aimed at fostering interdisciplinary research and international collaborations. Thanks to this scholarship, from 1998 to 2001, he was a Postdoctoral Researcher with Asea Brown Boveri, Heidelberg, Germany. From 2002 to 2005, he was a Senior Researcher with the Institute of Automation and Informatics, Wernigerode, Germany, where he was the Leader of the Control Group. From 2005 to 2011, he was an Associate Professor of Process Informatics with Ostfalia University of Applied Sciences, Wolfsburg, Germany. In 2010 he received the call from the German University in Cairo (Egypt) for a Full Professorship (Chair) in Mechatronics which he declined. In 2011 he was a Visiting Professor at Villanova University, Philadelphia, USA. Since 2012 he has been a Full Professor (Chair) of Control and Drive Systems at the Institute of Product and Process Innovation, Leuphana University of Lueneburg, Lueneburg, Germany. He received the Award for the Best Conference Paper at the 18th International Carpathian Control Conference (ICCC 2017), which took place from 28 to 31 May 2017 in Sinaia (Romania). Since 2018 he has obtained an International Visiting Professor Fellowship at Lodz University of Technology (Poland) and he is responsible for the course of „Modelling of Industrial Control Systems”. His current research interests include mechatronics, control systems, signal processing, wavelets, sensorless control, Kalman filter, camless control, knock control, lambda control, and robotics. In total he has 215 papers indexed in SCOPUS (h-index 16).

Blurb

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.