• DocumentCode
    3681674
  • Title

    CHASE Algorithm: "Ease of Driving" Classification

  • Author

    Veera Ganesh Yalla;Preeti J. Pillai;Kentaro Oguchi

  • Author_Institution
    Intell. Comput. Div., Toyota InfoTechnology Center USA, Mountain View, CA, USA
  • fYear
    2015
  • Firstpage
    644
  • Lastpage
    649
  • Abstract
    In this paper, we present the concept of "Ease of Driving" or EoD rating for road scene environment. We introduce the Classification by Holistic Analysis of Scene Environment (CHASE) algorithm to automatically classify the EoD rating using computer vision and machine learning techniques. With the CHASE algorithm we were able to achieve an accuracy of 86.84 % to classify the EoD. In the near future, EoD information will be used to create better navigation services to improve the driving comfort and mobility by leveraging the existing camera sensors in the car.
  • Keywords
    "Roads","Classification algorithms","Cameras","Vehicles","Algorithm design and analysis","Heuristic algorithms","Semantics"
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Transportation Systems (ITSC), 2015 IEEE 18th International Conference on
  • ISSN
    2153-0009
  • Electronic_ISBN
    2153-0017
  • Type

    conf

  • DOI
    10.1109/ITSC.2015.111
  • Filename
    7313203