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: Digital Signal Processing for In-Vehicle Systems and Safety
  name:
    name part: Hansen, John H.L.
    role:
      role term: editor.
  name:
    name part: Boyraz, Pinar.
    role:
      role term: editor.
  name:
    name part: Takeda, Kazuya.
    role:
      role term: editor.
  name:
    name part: Abut, Hüseyin.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2012
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XXII, 326 p. online resource.
  abstract: Compiled from papers of the 4th Biennial Workshop on DSP (Digital Signal Processing) for In-Vehicle Systems and Safety this edited collection features world-class experts from diverse fields focusing on integrating smart in-vehicle systems with human factors to enhance safety in automobiles. Digital Signal Processing for In-Vehicle Systems and Safety presents new approaches on how to reduce driver inattention and prevent road accidents. The material addresses DSP technologies in adaptive automobiles, in-vehicle dialogue systems, human machine interfaces, video and audio processing, and in-vehicle speech systems. The volume also features: Recent advances in Smart-Car technology – vehicles that take into account and conform to the driver Driver-vehicle interfaces that take into account the driving task and cognitive load of the driver Best practices for In-Vehicle Corpus Development and distribution Information on multi-sensor analysis and fusion techniques for robust driver monitoring and driver recognition Knowledge distribution for vehicle-to-vehicle and vehicle-to-infrastructure communications Digital Signal Processing for In-Vehicle Systems and Safety is useful for engineering researchers, students, automotive manufacturers, government foundations and engineers working in the areas of control engineering, signal processing, audio-video processing, man-machine interfaces, human factors and transportation engineering.
  table of contents: Part A: Driver Behavior and Monitoring Systems -- 1: Towards Multi-modal Driver's Stress Detection -- 2: Driver Emotion and Profiling from Speech -- 3: Driving Status Identification from Driving Behavior Signals -- 4: Multi-layer Modeling of Driving Behavior based on Hierarchical Mode Segmentation -- Part B: In-Vehicle Interactive/Speech Systems -- 5: Evaluation of In-Car Communication Systems -- 6: Wideband Hands-Free in Cars: New Challenges for System Design and Testing -- 7: A Novel Way to Start Speech Dialogs in Cars by Talk-and-Push (TAP) -- 8: Cognitive Dialog Systems for Dynamic Environments: Progress and Challenges -- 9: In-Vehicle Speech and Noise Corpora -- 10: A Likelihood-Maximizing Framework for Enhanced In-Car Speech Recognition based on Speech Dialogue System Interaction -- 11: Feature Compensation Employing Variational Model Composition for Robust Speech Recognition in In-Vehicle Environment -- 12: Dual-Channel Speech Enhancement using a Filterbank for Hands-free Communication -- 13: Optimal Multi-Microphone Speech Enhancement in Cars -- Part C: Vehicle Dynamics, Vision, Active Safety and Corpora -- 14: Generating Reference Views of Traffic Intersection for Safe Driving Assistance -- 15: Computer Vision Systems for "Context Aware" Active Vehicle Safety and Driver Assistance -- 16: Integrated Pedestrian Detection and Localization using Stereo Cameras -- 17: An Examination of Overtaking Judgments Based on Limitations in the Human Perceptual System: Implications for the Design of Driver-Assistance Systems -- 18: Video-Audio Based Signal Processing for Assessing Driver-Based Emotion Status -- 19: A Stochastic Approach for Modeling Lane-Change Trajectories -- 20: CAN-Bus Signal Analysis Using Stochastic Methods and Pattern Recognition in Time Series for Active Safety. Part D: Transportation, Vehicle Communications and Next Generation Vehicle Systems -- 21: Adaptive Error Resilient Mechanisms for Real-Time Multimedia Streaming over Inter-Vehicle Communicat…
  note: edited by John H.L. Hansen, Pinar Boyraz, Kazuya Takeda, Hüseyin Abut.
  subject:
    topic: Engineering
  subject:
    topic: Automotive engineering
  subject:
    topic: Control engineering
  subject:
    topic: Engineering
  subject:
    topic: Signal, Image and Speech Processing
  subject:
    topic: Automotive Engineering
  subject:
    topic: Control
  classification: TK5102.9
  classification: TA1637-1638
  classification: TK7882.S65
  classification: 621.382
  related item:
    title info:
      title: Springer eBooks
  identifier: 9781441996077
  identifier: http://dx.doi.org/10.1007/978-1-4419-9607-7
  record info:
    record creation date: 120202
    record change date: 20151204161453.0
    record identifier: 978-1-4419-9607-7