All Weather Robot Vision

1. Auflage 2022
ISBN: 978-981-16-6431-1
Verlag: Springer Nature Singapore

Buch, Englisch, 311 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 493 g

Reihe: Research on Intelligent Manufacturing

Complex illumination and meteorological conditions can significantly limit the robustness of robotic vision systems. This book focuses on image pre-processing for robot vision in complex illumination and dynamic weather conditions. It systematically covers cutting-edge models and algorithms, approaching them from a novel viewpoint based on studying the atmospheric physics and imaging mechanism. It provides valuable insights and practical methods such as illumination calculations, scattering modeling, shadow/highlight detection and removal, intrinsic image derivation, and rain/snow/fog removal technologies that will enable robots to be effective in diverse lighting and weather conditions, i.e., ensure their all-weather operating capacity. As such, the book offers a valuable resource for researchers, graduate students and engineers in the fields of robot engineering and computer science.

Zielgruppe

Research

Autoren/Hrsg.

Tian, Jiandong

Fachgebiete

• Technische Wissenschaften Technik Allgemein Mess- und Automatisierungstechnik
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Signalverarbeitung
• Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Maschinenbau

Inhaltsverzeichnis

Introduction.- Robot vision feasible calculations for outdoor illumination and reflectance.- Shadow modelling and intrinsic lighting decomposition.- Shadow/highlight detection and removal.- Rain, snowflake and fog removal.- Underwater scattering modeling and removal.- Discussion and Conclusions.

Über Autor(innen)

Dr. Jiandong Tian received his B.S. degree in the department of automation, Heilongjiang University, P. R. China, in 2005. In 2011 he received his doctoral degree in Pattern Recognition and Intelligent Systems from Shenyang Institute of Automation, Chinese Academy of Sciences. Currently he is a professor in State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences. During 2015.6-2016.6, he was a Visiting Professor at Center for Visual Computing, University of California, San Diego. His research interests include robot vision, illumination modeling, and image/video processing. He has published more than 50 papers in this field. Fairly amount of them have been published in well-known journals and top conferences in computer/robot vision. Dr. Tian gained the first prize of natural science award of Chinese Association of Automation in 2019 and the first prize of natural science award of Liaoning Province in 2020, respectively.