Scanning Technologies for Autonomous Systems

Julio C. Rodríguez-Quiñonez (Senior Member, IEEE). He is currently Full-Time Researcher-Professor in the Engineering Faculty of the Autonomous University of Baja California, and a member of the National Research System Level 1. He is actively involved in the development of an optical scanning prototype within the Applied Physics Department. He serves as a research leader in creating a new stereo vision system prototype and leading research on novel approaches for inertial navigation systems. Over the years, he has taken on the role of thesis director for several Doctoral and Master's degree students. His contributions have led to the acquisition of three patents related to dynamic triangulation methods and laser scanners. Moreover, he has been an editor of four books and author of "Graphical Programming using LabVIEW: Fundamentals and Advanced Techniques." Additionally, he is currently Associate Editor of the IET Image Processing Journal and has served as a Guest Editor for renowned journals such as Measurement (Elsevier), IEEE Sensors Journal, International Journal of Advanced Robotic Systems, and Journal of Sensors. His academic impact is substantial, having written 104 papers indexed in Scopus, resulting in an h-index of 20 and gathering over 1400 citations. Furthermore, he actively contributes as a reviewer for esteemed publications, including Measurement, IEEE Sensors Journal, Optics and Lasers in Engineering, IEEE Transaction on Mechatronics, and Neural Computing and Ap-plications of Springer. His expertise and involvement extend to the international stage, where he has actively participated as a reviewer and Session Chair in various IEEE ISIE conferences held in Turkey (2014), Brazil (2015), USA (2016), UK (2017), Canada (2019), USA (IECON 2018), Portugal (IECON 2019), Netherlands (ISIE 2020), Japan (ISIE 2021), USA (ISIE 2022), and Finland (ISIE 2023). In 2016, he attained the prestigious status of a Senior Member of IEEE, and his collaborative work has earned him the coauthor's credit for the award-winning "Out-standing Paper in the 2017 Emerald Literati Network Awards for Excellence." His current research interests encompass automated metrology, stereo vision systems, control systems, robot navigation, and 3D laser scanners, showcasing his unwavering dedication to advancing knowledge in the field of Applied Physics.

Wendy Flores-Fuentes received the bachelor's degree in electronic engineering from the Autonomous University of Baja California in 2001, the master's degree in engineering from Technological Institute of Mexicali in 2006, and the Ph.D. degree in science, applied physics, with emphasis on Optoelectronic Scanning Systems for SHM, from Autonomous University of Baja California in June 2014. By now she is the author of 52 journal articles, 23 book chapters and 11 books, 61 proceedings articles in IEEE ISIE 2014-2023, IECON 2014-2023 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 2015-2024 and IECON 2018, 2019, 2022, 2024. She has participated has Guest Editor at Journal of Sensors, The International Journal of Advanced Robotic Systems, IEEE Sensors, Measurement, AIP Advances. She holds 2 patent of Mexico and 1 patent of Ukraine. She has been a reviewer of several articles in Taylor and Fran-cis, IEEE, Elsevier, and EEMJ. Currently, she is a full-time professor at Universidad Autónoma de Baja California, at the Faculty of Engineering.  She has been incorporated into CONACYT National Research System in 2015, currently level 2. Her interests include optoelectronics, robotics, artificial intelligence, measurement systems, and machine vision systems.

Moises J. Castro-Toscano was born in March 1989, in Baja California, Mexico. He rec

Part 1 Scanning Technologies for Navigation and Area Mapping.- Chapter 1 Methodology of Assigning Terrain Objects Images to the Class of Landmarks for Autonomous Mobile Robots.- Chapter 2 Scanning Systems for Environment Perception in Autonomous Navigation.- Chapter 3 Autonomous Visual 3D Mapping of the Ocean Floor by Underwater Robots Equipped with a Single Photo Camera.- Chapter 4 Flexible Multi-Camera Virtual Focal Plane: A Light-Field Dynamic Homography Approach.- Part 2 Scanning Technologies for Medical and Industrial Applications.- Chapter 5 US Scanning Technologies and AI.- Chapter 6 Optical 3D Scanning System in Medical Applications.- Chapter 7 Depth Measurement with a Rotating Camera System for Robotic Applications.- Part 3 Innovative Data Processing Solutions for Scanning Technologies.- Chapter 8 Investigating the Effects of Subsampling Processes to Point Cloud Data on the Generation of 3D Models of Archaeological Monuments.- Chapter 9 Approach to Background Suppression in Scanning Machine Vision Systems.- Chapter 10 Point Cloud Optimization Employing Multisensory Vision.- Part 4 Sensing Applications across Systems, Technological Advancements.- Chapter 11 Person-Centric Sensing in Indoor Environments.- Chapter 12 Machine Vision for Solid Waste Detection.- Chapter 13 Developing a Hardware and Software Complex for Measuring the Three-Dimensional Ice Geometry on Object Surface.