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: Methods for Appearance-based Loop Closure Detection
    sub title: Applications to Topological Mapping and Image Mosaicking
  name:
    name part: Garcia-Fidalgo, Emilio.
    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: Ortiz, Alberto.
    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: gw
    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: XXV, 159 p. 76 illus., 70 illus. in color. online resource.
  abstract: Mapping and localization are two essential tasks in autonomous mobile robotics. Due to the unavoidable noise that sensors present, mapping algorithms usually rely on loop closure detection techniques, which entail the correct identification of previously seen places to reduce the uncertainty of the resulting maps. This book deals with the problem of generating topological maps of the environment using efficient appearance-based loop closure detection techniques. Since the quality of a visual loop closure detection algorithm is related to the image description method and its ability to index previously seen images, several methods for loop closure detection adopting different approaches are developed and assessed. Then, these methods are used in three novel topological mapping algorithms. The results obtained indicate that the solutions proposed attain a better performance than several state-of-the-art approaches. To conclude, given that loop closure detection is also a key component in other research areas, a multi-threaded image mosaicing algorithm is proposed. This approach makes use of one of the loop closure detection techniques previously introduced in order to find overlapping pairs between images and finally obtain seamless mosaics of different environments in a reasonable amount of time. .
  table of contents: Introduction -- Background -- Literature Review -- Experimental Setup -- Loop Closure Detection using Local Features and KD-Trees -- Loop Closure Detection using Incremental Bags of Binary Words -- Hierarchical Loop Closure Detection for Topological Mapping -- Fast Image Mosaicking using Incremental Bags of Binary Words -- Conclusions and Future Work.
  note: by Emilio Garcia-Fidalgo, Alberto Ortiz.
  subject:
    topic: Robotics
  subject:
    topic: Automation
  subject:
    topic: Artificial intelligence
  subject:
    topic: Robotics and Automation
  subject:
    topic: Artificial Intelligence
  classification: TJ210.2-211.495
  classification: T59.5
  classification: 629.892
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Springer Tracts in Advanced Robotics, 122
  identifier: 9783319759937
  identifier: https://doi.org/10.1007/978-3-319-75993-7
  record info:
    record creation date: 180314
    record change date: 20191024122343.0
    record identifier: 978-3-319-75993-7