@article{1443051,
      author = {Tian, Jiandong.},
      url = {http://library.usi.edu/record/1443051},
      title = {All weather robot vision /},
      publisher = {Springer,},
      abstract = {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.},
      doi = {https://doi.org/10.1007/978-981-16-6429-8},
      recid = {1443051},
      pages = {1 online resource},
      address = {Singapore :},
      year = {2022},
}