@article{827261,
      recid = {827261},
      author = {Gao, Ruipeng, and Ye, Fan, and Luo, Guojie, and Cong,  Jason,},
      title = {Smartphone-based indoor map construction : principles and  applications /},
      pages = {1 online resource.},
      abstract = {This book focuses on ubiquitous indoor localization  services, specifically addressing the issue of floor plans.  It combines computer vision algorithms and mobile  techniques to reconstruct complete and accurate floor plans  to provide better location-based services for both humans  and vehicles via commodity smartphones in indoor  environments (e.g., a multi-layer shopping mall with  underground parking structures). After a comprehensive  review of scene reconstruction methods, it offers accurate  geometric information for each landmark from images and  acoustics, and derives the spatial relationships of the  landmarks and rough sketches of accessible areas with  inertial and WiFi data to reduce computing overheads. It  then presents the authors’ recent findings in detail,  including the optimization and probabilistic formulations  for more solid foundations and better robustness to combat  errors, several new approaches to promote the current  sporadic availability of indoor location-based services,  and a holistic solution for floor plan reconstruction,  indoor localization, tracking, and navigation. The novel  approaches presented are designed for different types of  indoor environments (e.g., shopping malls, office buildings  and labs) and different users. A valuable resource for  researchers and those in start-ups working in the field, it  also provides supplementary material for students with  mobile computing and networking backgrounds.},
      url = {http://library.usi.edu/record/827261},
      doi = {https://doi.org/10.1007/978-981-10-8378-5},
}