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: Road Terrain Classification Technology for Autonomous Vehicle
  name:
    name part: Wang, Shifeng.
    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: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: si
    date issued: 2019
    edition: 1st ed. 2019.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVI, 97 p. 43 illus., 32 illus. in color. online resource.
  abstract: This book provides cutting-edge insights into autonomous vehicles and road terrain classification, and introduces a more rational and practical method for identifying road terrain. It presents the MRF algorithm, which combines the various sensors' classification results to improve the forward LRF for predicting upcoming road terrain types. The comparison between the predicting LRF and its corresponding MRF show that the MRF multiple-sensor fusion method is extremely robust and effective in terms of classifying road terrain. The book also demonstrates numerous applications of road terrain classification for various environments and types of autonomous vehicle, and includes abundant illustrations and models to make the comparison tables and figures more accessible. .
  table of contents: Introduction -- Review of Related Work -- Acceleration Based Road Terrain Classification -- Image Based Road Terrain Classification -- LRF Based Road Terrain Classification -- Multiple-Sensor Based Road Terrain Classification -- Conclusion and Future Direction.
  note: by Shifeng Wang.
  subject:
    topic: Automotive engineering
  subject:
    topic: Artificial intelligence
  subject:
    topic: Transportation engineering
  subject:
    topic: Traffic engineering
  subject:
    topic: Signal processing
  subject:
    topic: Image processing
  subject:
    topic: Speech processing systems
  subject:
    topic: Automotive Engineering
  subject:
    topic: Artificial Intelligence
  subject:
    topic: Transportation Technology and Traffic Engineering
  subject:
    topic: Signal, Image and Speech Processing
  classification: TL1-483
  classification: 629.2
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Unmanned System Technologies
  identifier: 9789811361555
  identifier: https://doi.org/10.1007/978-981-13-6155-5
  record info:
    record creation date: 190315
    record change date: 20191220131259.0
    record identifier: 978-981-13-6155-5