Algorithms for Machine Vision in Navigation and Control

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”.tics. In total he has 215 papers indexed in SCOPUS (h-index 16).

• Introduction.- Part I. Image and Signal Sensors.- Image and Signal Sensors for Computing and Machine Vision.- Bio-Inspired, Real-Time Passive Vision for Mobile Robots.- Color and Depth Sensing Sensor Technologies for Robotics and Machine Vision.- 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.- Image-based Target Detection and Tracking using Image-assisted Robotic Total Stations.- The Methods of Radar Detection of Landmarks by Mobile Autonomous Robots.- The Methods of Radar Detection of Landmarks by Mobile Autonomous Robots.- Stereoscopic Vision Systems in Machine Vision, Models and Applications.- UKF-Based Image Filtering and 3D Reconstruction.- Part III. Pose Estimation, Avoidance of Objects, Control and Data Exchange for Navigation.- Lie Algebra Method for Pose Optimization Computation.- Optimal Generation of Closed Trajectories Over Large, Arbitrary Surfaces Based on Non-Calibrated Vision.- Optimal Generation of Closed Trajectories Over Large, Arbitrary Surfaces Based on Non-Calibrated Vision.- Data Exchange and Task of Navigation for Robotic Group.- Data Exchange and Task of Navigation for Robotic Group.- Autonomous Mobile Vehicles Systems Overview for Wheeled Ground Applications.- Aerial Imagery Processing.- Methods for Ensuring the Accuracy of Radiometric and Optoelectronic Navigation Systems of Flying Robots in a Developed Infrastructure.- Stabilization of Airborne Video Using Sensor Exterior Orientation with Analytical Homography Modeling.- Conclusion.