rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Smartphone-Based Indoor Map Construction
    sub title: Principles and Applications
  name:
    name part: Gao, Ruipeng.
    role:
      role term: creator
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: Ye, Fan.
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: Luo, Guojie.
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: Cong, Jason.
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: si
    date issued: 2018
    edition: 1st ed. 2018.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: IX, 109 p. 60 illus., 57 illus. in color. 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.
  table of contents: Chapter 1 introduction of indoor location-based services -- Chapter 2 map construction via photo-taking -- Chapter 3 map construction via acoustic sensing -- Chapter 4 incremental map construction -- Chapter 5 human localization with indoor maps -- Chapter 6 vehicle tracking in parking structures -- Chapter 7 Concludes and discussions.
  note: by Ruipeng Gao, Fan Ye, Guojie Luo, Jason Cong.
  subject:
    topic: Mobile computing
  subject:
    topic: Application software
  subject:
    topic: Special purpose computers
  subject:
    topic: Mobile Computing
  subject:
    topic: Information Systems Applications (incl. Internet)
  subject:
    topic: Special Purpose and Application-Based Systems
  classification: QA76.59
  classification: 004.167
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: SpringerBriefs in Computer Science
  identifier: 9789811083785
  identifier: https://doi.org/10.1007/978-981-10-8378-5
  record info:
    record creation date: 180327
    record change date: 20191027091152.0
    record identifier: 978-981-10-8378-5